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  <front>
    <journal-meta><journal-id journal-id-type="publisher">WCD</journal-id><journal-title-group>
    <journal-title>Weather and Climate Dynamics</journal-title>
    <abbrev-journal-title abbrev-type="publisher">WCD</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Weather Clim. Dynam.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">2698-4016</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/wcd-7-1571-2026</article-id><title-group><article-title>Derecho-favoring atmospheric environments in Finland: characteristics, identification criteria, and frequency trends</article-title><alt-title>Derecho-favoring atmospheric environments in Finland</alt-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Rantala</surname><given-names>Oskari</given-names></name>
          <email>oskari.rantala@helsinki.fi</email>
        <ext-link>https://orcid.org/0000-0001-7301-2617</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Räisänen</surname><given-names>Jouni A.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-3657-1588</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Rauhala</surname><given-names>Jenni</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Bister</surname><given-names>Marja</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Finnish Meteorological Institute, Helsinki, Finland</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Oskari Rantala (oskari.rantala@helsinki.fi)</corresp></author-notes><pub-date><day>28</day><month>August</month><year>2026</year></pub-date>
      
      <volume>7</volume>
      <issue>3</issue>
      <fpage>1571</fpage><lpage>1592</lpage>
      <history>
        <date date-type="received"><day>11</day><month>March</month><year>2026</year></date>
           <date date-type="rev-request"><day>25</day><month>March</month><year>2026</year></date>
           <date date-type="rev-recd"><day>20</day><month>August</month><year>2026</year></date>
           <date date-type="accepted"><day>21</day><month>August</month><year>2026</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2026 Oskari Rantala et al.</copyright-statement>
        <copyright-year>2026</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://wcd.copernicus.org/articles/7/1571/2026/wcd-7-1571-2026.html">This article is available from https://wcd.copernicus.org/articles/7/1571/2026/wcd-7-1571-2026.html</self-uri><self-uri xlink:href="https://wcd.copernicus.org/articles/7/1571/2026/wcd-7-1571-2026.pdf">The full text article is available as a PDF file from https://wcd.copernicus.org/articles/7/1571/2026/wcd-7-1571-2026.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d2e113">In this study, we investigate the atmospheric environments during eight summertime derechos and two derecho-type events in Finland, as well as trends in frequency of such environments during 1940–2022, using ERA5 reanalysis. We find that derechos in Finland tend to occur near the right entrance region of an upper-level jet streak, where deep-layer vertical wind shear is moderate, and deep-layer flow with a southerly component advects warm, moist air into the area. In all 10 studied cases, equivalent potential temperature at 850 hPa exceeds 325 K along the trajectory of the system. We define three sets of criteria to capture atmospheric environments favoring derecho formation in Finland. Two of the criteria sets are largely based on literature, whereas the third one is more adapted to the atmospheric conditions observed along the trajectories of derechos in Finland. The criteria sets consist particularly of kinematic parameters, including deep-layer (0–6 and 0–10 km) vertical wind shear and 6–10 km layer mean wind speed, but also contain thermodynamic variables, including convective available potential energy (CAPE) and equivalent potential temperature at 850 hPa. For each criteria set, we require that threshold values for combinations of these parameters are satisfied at the same grid point and over a sufficiently large grid area to classify the day as favorable for derecho formation. By applying the criteria sets, it appears that derecho-favoring environments in Finland have become more frequent, particularly in the period 1980–2022, which was characterized by both accelerated warming and a negative trend in the summer mean Eastern Atlantic/Western Russia teleconnection index. As such, it is plausible that derechos may become more common in the future, at least in Finland.</p>
  </abstract>
    
<funding-group>
<award-group id="gs1">
<funding-source>Research Council of Finland</funding-source>
<award-id>328616</award-id>
<award-id>333397</award-id>
<award-id>364665</award-id>
</award-group>
</funding-group>
</article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d2e125">Thunderstorms often develop into larger convective weather events that can produce tornadoes, strong straight-line winds, hail, and intense precipitation. Economic losses due to convective weather events have increased remarkably during the last several decades. The average global overall (insured and uninsured) inflation-adjusted losses due to severe convective storms have increased by as much as 580 % from 1980–1994 to 2010–2024 <xref ref-type="bibr" rid="bib1.bibx41" id="paren.1"/>. Between the same time periods, the average global overall losses due to all natural disasters have increased by 209 % <xref ref-type="bibr" rid="bib1.bibx42" id="paren.2"/>. Therefore, it is vital to know how severe convective events have changed and will change in the future.</p>
      <p id="d2e134">Regional weather forecasting and climate models now have horizontal resolutions down to a few kilometers <xref ref-type="bibr" rid="bib1.bibx37" id="paren.3"><named-content content-type="pre">e.g.,</named-content></xref>. However, many physical processes responsible for the development of severe surface winds in convective storms require even higher resolution. For example, in a study of a severe wind gust event in Australia, <xref ref-type="bibr" rid="bib1.bibx17" id="text.4"/> showed that column-maximum downdraft velocities were generally about 30 % weaker in the 1 km-resolution simulation than in the 200 m-resolution simulation. Although derechos have been simulated with km-scale simulations <xref ref-type="bibr" rid="bib1.bibx36 bib1.bibx23 bib1.bibx35" id="paren.5"><named-content content-type="pre">e.g.,</named-content></xref>, such simulations do not cover time periods comparable to those available from reanalyses or large-ensemble climate simulations. Therefore, proxies, such as convective available potential energy (CAPE), or another index representing instability, and deep-layer shear, have been used to analyze severity of convection in larger datasets with coarser resolution. For example, <xref ref-type="bibr" rid="bib1.bibx61" id="text.6"/> used several convective proxies and reanalysis data to study how the conditions favoring convective initiation and tornadoes have changed in the United States and in Europe in recent decades. <xref ref-type="bibr" rid="bib1.bibx46" id="text.7"/> showed that straight-line winds intensify with climate change using simulations with 4 km resolution and theoretical considerations regarding thermodynamical changes. Furthermore, by using convective proxies and applying a set of statistical models to represent convective hazards in climate models and reanalysis data, <xref ref-type="bibr" rid="bib1.bibx50" id="text.8"/> found that the frequency of damaging convective weather events, including lightning, hail and severe wind gusts, will likely increase across Europe by the end of the 21st century.</p>
      <p id="d2e160">Severe straight-line (as opposed to rotating) winds occur in various types of convective weather systems. The most destructive of them is a derecho. In a derecho, the wind damage path associated with gusts of at least 26 m s<sup>−1</sup> must exceed 400 km <xref ref-type="bibr" rid="bib1.bibx33" id="paren.9"/>. Derechos also stand out by the formation mechanism of strong surface winds, which is often related to specific features like descending rear-inflow jets and mesovortices in the vicinity of the leading line of convection <xref ref-type="bibr" rid="bib1.bibx39" id="paren.10"/>. Indeed, the more recent criteria for a derecho include features suggesting the dominant effect of the cold pool <xref ref-type="bibr" rid="bib1.bibx55" id="paren.11"/> and evidence of sustained bow echoes, mesoscale vortices, and/or rear-inflow jets <xref ref-type="bibr" rid="bib1.bibx11 bib1.bibx54" id="paren.12"/>. Regardless of the exact criteria, destruction caused by derechos can be comparable to that caused by hurricanes <xref ref-type="bibr" rid="bib1.bibx1" id="paren.13"/>. Furthermore, convective systems producing derechos propagate exceptionally fast compared to other convective weather systems <xref ref-type="bibr" rid="bib1.bibx33 bib1.bibx9" id="paren.14"><named-content content-type="pre">e.g.,</named-content></xref>, which can complicate their forecasting.</p>
      <p id="d2e196">It is crucial to find out whether climate change affects the formation of derechos. The fact that severe wind gusts associated with convection occur in a variety of meteorological conditions makes it difficult to find useful parameters for forecasting them <xref ref-type="bibr" rid="bib1.bibx58" id="paren.15"/>. However, <xref ref-type="bibr" rid="bib1.bibx9" id="text.16"/> showed that meteorological environments associated with derechos can be discriminated from those associated with weak convective systems and severe (but not derecho-producing) convective systems.</p>
      <p id="d2e206">A series of derechos occurring in succession is a well-documented phenomenon in the United States <xref ref-type="bibr" rid="bib1.bibx2 bib1.bibx3" id="paren.17"/>, and a series of four derechos was also documented in Europe between 10 and 12 August 2017, in a belt stretching from northern Italy to Estonia <xref ref-type="bibr" rid="bib1.bibx57" id="paren.18"/>. In Finland, a country located roughly between latitudes 60 and 70° N, derechos occurred on 4 d within a period of 10 d in summer 2010. These derechos damaged a total of 8 million m<sup>3</sup> of timber (fallen or broken trees) and 35 000 km of power lines <xref ref-type="bibr" rid="bib1.bibx53" id="paren.19"/>. This unprecedented sequence in Finland raises the question of whether climate change has already affected or may in the future affect both the overall frequency of derechos and the likelihood of multiple derechos occurring in series within the same geographical region. In this study, we investigate historical changes in the frequency of environments favorable for derechos in Finland. The study area is roughly the same where the four derechos occurred in Finland in 2010, but a similar study can also be repeated for other geographical regions.</p>
      <p id="d2e227">In this study, we develop three sets of criteria for a favorable environment for derecho formation. Two of them are mainly based on the study of <xref ref-type="bibr" rid="bib1.bibx9" id="text.20"/> on variables that discriminate between summertime derechos and other mesoscale convective systems (MCSs) in the region east of the Rocky Mountains in the USA. However, as it is not clear that the environments favoring derechos would be the same elsewhere in the world, we also develop a third set of criteria which is more strongly guided by observations of environments of derechos in Finland and European derecho research. We then use these three sets of criteria to analyze the historical trend in the frequency of atmospheric conditions favoring derecho formation in Finland. Since large-scale atmospheric teleconnections have been noted to impact the convective activity in Europe <xref ref-type="bibr" rid="bib1.bibx45" id="paren.21"><named-content content-type="pre">e.g.,</named-content></xref>, we also study their effects to the frequency of derecho-favoring environments, in addition to the effects of global warming. In particular, we determine whether the frequency of favorable derecho environments is correlated with the summer mean North Atlantic Oscillation (NAO), Scandinavian (SCAND), Eastern Atlantic (EA), and Eastern Atlantic/Western Russia (EAWR) indices <xref ref-type="bibr" rid="bib1.bibx8" id="paren.22"/>, along with the Atlantic Multi-decadal Oscillation (AMO) index <xref ref-type="bibr" rid="bib1.bibx43" id="paren.23"/>. Additionally, we analyze the connection between the frequency of favorable derecho environments and summer mean surface temperature over the study area.</p>
      <p id="d2e244">In Sect. <xref ref-type="sec" rid="Ch1.S2"/>, data and methods are described. Section <xref ref-type="sec" rid="Ch1.S2"/> also briefly presents eight confirmed derecho cases and two derecho-like cases that have occurred in Finland and that we use to develop the criteria sets. In Sect. <xref ref-type="sec" rid="Ch1.S3"/>, an overview is presented of the synoptic and mesoscale environments of the ten derecho and derecho-like cases. Section <xref ref-type="sec" rid="Ch1.S4"/> presents the three criteria sets for atmospheric conditions favoring derecho formation and their evaluation. In Sect. <xref ref-type="sec" rid="Ch1.S5"/>, trends in the frequency of derecho favoring environments are presented. The effects of global warming and large-scale teleconnections to the trends in favorable derecho environments are analyzed in Sect. <xref ref-type="sec" rid="Ch1.S6"/>. The results are discussed in Sect. <xref ref-type="sec" rid="Ch1.S7"/> and conclusions are provided in Sect. <xref ref-type="sec" rid="Ch1.S8"/>.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Data and methods</title>
      <p id="d2e272">The events that were used to define the criteria for derecho-favoring atmospheric conditions in Finland are presented in Sect. <xref ref-type="sec" rid="Ch1.S2.SS1"/>. Then, Sect. <xref ref-type="sec" rid="Ch1.S2.SS2"/> describes how the ERA5 dataset was used to examine derecho-favoring conditions and their occurrence. The calculation of the parameters used in the criteria sets is detailed in Sect. <xref ref-type="sec" rid="Ch1.S2.SS3"/>. Lastly, Sect. <xref ref-type="sec" rid="Ch1.S2.SS4"/> specifies the methods applied to analyze the trends in the frequency of derecho-favoring environments.</p>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Derechos events in Finland</title>
      <p id="d2e290">Table <xref ref-type="table" rid="T1"/> catalogs eight confirmed summertime derecho cases and two derecho-type events in Finland. The confirmed derecho cases were identified using criteria similar to those of <xref ref-type="bibr" rid="bib1.bibx18" id="text.24"/> in the United States and <xref ref-type="bibr" rid="bib1.bibx21" id="text.25"/> in Europe. According to the criteria, measured wind gusts had to exceed 25 m s<sup>−1</sup> (slightly lower than 26 m s<sup>−1</sup> defined by <xref ref-type="bibr" rid="bib1.bibx33" id="altparen.26"/>) and/or damage of tornado scale F1 <xref ref-type="bibr" rid="bib1.bibx19" id="paren.27"/> had to occur along a major axis length of at least 400 km. In addition, the time between successive wind damage reports had to be no longer than 2 h along the axis, and the damage had to be attributed to the same convective system. From the confirmed events, a few have already been studied in literature: Unto <xref ref-type="bibr" rid="bib1.bibx49" id="paren.28"/>, Asta <xref ref-type="bibr" rid="bib1.bibx7" id="paren.29"/>, Sylvi <xref ref-type="bibr" rid="bib1.bibx63" id="paren.30"/> and Paula <xref ref-type="bibr" rid="bib1.bibx64" id="paren.31"/>. It is also worth noting that two separate derechos affected Finland on 8 August 2010. However, for the purposes of this study, it is sufficient to treat the date as a day when a derecho occurred.</p>

<table-wrap id="T1"><label>Table 1</label><caption><p id="d2e347">List of derecho events used in the analysis, with dates, storm names by Finnish naming convention and classification. In the table, events that had derecho characteristics but were not classified as derechos are labeled as derecho-type.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Date</oasis:entry>
         <oasis:entry colname="col2">Storm name</oasis:entry>
         <oasis:entry colname="col3">Classification</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">5 July 2002</oasis:entry>
         <oasis:entry colname="col2">Unto</oasis:entry>
         <oasis:entry colname="col3">derecho</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">10 July 2006</oasis:entry>
         <oasis:entry colname="col2">Saima</oasis:entry>
         <oasis:entry colname="col3">derecho</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">29–30 July 2010</oasis:entry>
         <oasis:entry colname="col2">Asta</oasis:entry>
         <oasis:entry colname="col3">derecho</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">4 August 2010</oasis:entry>
         <oasis:entry colname="col2">Veera</oasis:entry>
         <oasis:entry colname="col3">derecho</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">7 August 2010</oasis:entry>
         <oasis:entry colname="col2">Lahja</oasis:entry>
         <oasis:entry colname="col3">derecho</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">8 August 2010</oasis:entry>
         <oasis:entry colname="col2">Sylvi</oasis:entry>
         <oasis:entry colname="col3">derecho</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">21 June 2021</oasis:entry>
         <oasis:entry colname="col2">Ahti</oasis:entry>
         <oasis:entry colname="col3">derecho-type</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">22 June 2021</oasis:entry>
         <oasis:entry colname="col2">Paula</oasis:entry>
         <oasis:entry colname="col3">derecho</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">23 June 2021</oasis:entry>
         <oasis:entry colname="col2">Aatu</oasis:entry>
         <oasis:entry colname="col3">derecho-type</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">17 August 2022</oasis:entry>
         <oasis:entry colname="col2">Verneri</oasis:entry>
         <oasis:entry colname="col3">derecho</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d2e500">In addition to the confirmed derechos, the table includes two events (storms Ahti and Aatu) which had characteristics typical for derechos by causing widespread damage and were also investigated by <xref ref-type="bibr" rid="bib1.bibx64" id="text.32"/>. Nevertheless, they did not fulfill all of the formal derecho criteria. For storm Ahti, the major axis of the wind gust and/or damage reports did not reach the required length of 400 km, and some of the damages were caused by isolated convective cells rather than a single system. Storm Aatu similarly fell slightly short of the path-length threshold for wind gusts and damage, which prevented it from being classified as a derecho.</p>
      <p id="d2e507">Several potential derecho events cross national borders, which means their damage paths may be too short over Finland to meet the derecho criteria. For example, storm Aatu already affected Estonia (based on radar images), but it did not last long enough over Finland to classify as a derecho. Since storms Ahti and Aatu did not quite meet the requirements to be classified as derechos, they are classified as derecho-type events in this study. Importantly, the addition of these two events did not affect the criteria for derecho-favoring environments that are defined in Sect. <xref ref-type="sec" rid="Ch1.S4"/>.</p>
      <p id="d2e512">The trajectories of all ten events are drawn in Fig. <xref ref-type="fig" rid="F1"/>, which also shows the grid domain (21.5–34° E, 58.5–65.5° N) that was selected to study the atmospheric conditions favoring derecho formation in Finland. The trajectories were determined visually from radar images provided by Eerik Saarikalle at the Finnish Meteorological Institute (FMI). At least two of the derecho-producing systems (Asta 29 July 2010; <xref ref-type="bibr" rid="bib1.bibx7" id="altparen.33"/>; and Sylvi 8 August 2010; <xref ref-type="bibr" rid="bib1.bibx63" id="altparen.34"/>) clearly developed outside of our grid and radar image area but propagated far enough across Finland to be classified as derechos.</p>

      <fig id="F1"><label>Figure 1</label><caption><p id="d2e525">The grid area selected for analyzing conditions favoring derecho formation. Approximate trajectories of the derechos within the study area are shown with solid red arrows, each labeled at its origin with the event’s start date. The two derecho-type tracks are distinguished from the confirmed derechos by dashed lines.</p></caption>
          <graphic xlink:href="https://wcd.copernicus.org/articles/7/1571/2026/wcd-7-1571-2026-f01.png"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>ERA5 reanalysis data</title>
      <p id="d2e542">Environments of derechos have been analyzed in many studies using atmospheric soundings <xref ref-type="bibr" rid="bib1.bibx18 bib1.bibx16 bib1.bibx9" id="paren.35"><named-content content-type="pre">e.g.,</named-content></xref>. However, the sounding network in Finland is too sparse to comprehensively study the atmospheric conditions favoring derecho formation. Therefore, ERA5 reanalysis data <xref ref-type="bibr" rid="bib1.bibx29" id="paren.36"/> were used instead. ERA5 has several atmospheric, oceanic and land variables available for download on 37 pressure levels, extending from 1000 hPa (surface) up to 1 hPa (approximately 80 km altitude). The dataset has a horizontal resolution of 0.25° and a temporal resolution of 1 h.</p>
      <p id="d2e553">To study synoptic patterns during derecho events in Finland in Sect. <xref ref-type="sec" rid="Ch1.S3.SS1"/>, ERA5 hourly pressure-level data were downloaded for all dates of the events, and every 6 h for 5 d preceding and one day following each event. The grid selected for the synoptic-scale analysis covered most of Europe and eastern parts of the Atlantic (30° W–50° E, 35–75° N). Horizontal wind components (<inline-formula><mml:math id="M5" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M6" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula>), temperature (<inline-formula><mml:math id="M7" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>), specific humidity (<inline-formula><mml:math id="M8" display="inline"><mml:mi>q</mml:mi></mml:math></inline-formula>) and geopotential (<inline-formula><mml:math id="M9" display="inline"><mml:mi>Z</mml:mi></mml:math></inline-formula>) were downloaded from pressure levels 1000, 850, 700, 500 and 250 hPa. Additionally, single-level parameters were acquired: mean sea level pressure (MSLP), 100 m horizontal wind components, convective available potential energy (CAPE), and 2 m air temperature. In this study, no attention is paid to the ERA5 surface winds and precipitation during derechos in Finland, but some details on how they compare to observations are mentioned in <xref ref-type="bibr" rid="bib1.bibx51" id="text.37"><named-content content-type="post">pp. 27–28</named-content></xref>.</p>
      <p id="d2e599">In Sects. <xref ref-type="sec" rid="Ch1.S3.SS2"/>–<xref ref-type="sec" rid="Ch1.S5"/>, the focus will be on mesoscale environments favoring derecho formation. To analyze these conditions, the smaller grid area (21.5–34° E, 58.5–65.5° N) illustrated in Fig. <xref ref-type="fig" rid="F1"/> was utilized. For this grid, <inline-formula><mml:math id="M10" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M11" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M12" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M13" display="inline"><mml:mi>q</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M14" display="inline"><mml:mi>Z</mml:mi></mml:math></inline-formula> were downloaded from 21 pressure levels between 1000 and 250 hPa for all events. In addition, CAPE and 100 m horizontal wind components were acquired. CAPE in ERA5 is calculated by evaluating air parcels originating from model levels below the 350 hPa level, with the maximum value retained (i.e. the most unstable CAPE).</p>
</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Calculation of criteria parameters</title>
      <p id="d2e652">As mentioned in Sect. <xref ref-type="sec" rid="Ch1.S1"/>, <xref ref-type="bibr" rid="bib1.bibx9" id="text.38"/> found parameters that distinguished summertime derecho-producing systems from other MCSs in the US. The most discriminating parameters were the 0–10 and 0–6 km vertical wind shear, and the 6–10 km layer mean wind speed (in addition to system propagation speed, which is not analyzed here). To calculate these parameters, ERA5 data was first interpolated to levels of constant altitudes (above ground level) at 500 m intervals from 500 m to 10 km using geopotential data from the pressure levels.</p>
      <p id="d2e660">Shear parameters were computed as the magnitude of the vector difference between the wind at 100 m above the surface and the wind at either 6 or 10 km altitude. Hereafter, references to 0–6 or 0–10 km shear denote these two wind vector differences. The wind vector at 100 m was preferred over the 10 m wind to mitigate the effects of surface roughness. Nevertheless, the wind vector difference between 10 and 100 m was small.</p>
      <p id="d2e663">The 6–10 km layer mean wind speed (hereafter 6–10 km <inline-formula><mml:math id="M15" display="inline"><mml:mi>U</mml:mi></mml:math></inline-formula>) was also calculated in the same manner as in <xref ref-type="bibr" rid="bib1.bibx9" id="text.39"/>. The corresponding formula is given in Eq. (<xref ref-type="disp-formula" rid="Ch1.E1"/>), where <inline-formula><mml:math id="M16" display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M17" display="inline"><mml:mi>v</mml:mi></mml:math></inline-formula> are the wind vector components at all the interpolated altitude levels within the 6–10 km layer.

            <disp-formula id="Ch1.E1" content-type="numbered"><label>1</label><mml:math id="M18" display="block"><mml:mrow><mml:mtext>6–10 km </mml:mtext><mml:mi>U</mml:mi><mml:mo>=</mml:mo><mml:msqrt><mml:mrow><mml:mover accent="true"><mml:mrow><mml:msup><mml:mi>u</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow><mml:mo mathvariant="normal">‾</mml:mo></mml:mover><mml:mo>+</mml:mo><mml:mover accent="true"><mml:mrow><mml:msup><mml:mi>v</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow><mml:mo mathvariant="normal">‾</mml:mo></mml:mover></mml:mrow></mml:msqrt></mml:mrow></mml:math></disp-formula></p>
      <p id="d2e726">In many studies the 850 hPa equivalent potential temperature (<inline-formula><mml:math id="M19" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">E</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) has been observed to be particularly high during European derechos (discussed further in Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>). Therefore, <inline-formula><mml:math id="M20" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">E</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> was also calculated at the 850 hPa level using the “equivalent_potential_temperature” function from Python's MetPy library <xref ref-type="bibr" rid="bib1.bibx40" id="paren.40"/>.</p>
</sec>
<sec id="Ch1.S2.SS4">
  <label>2.4</label><title>Trend analysis</title>
      <p id="d2e765">To find out whether the frequency of derecho-favoring atmospheric conditions has changed during recent decades, ERA5 data were downloaded for the period 1940–2022. Since we were interested in the warm-season derechos in Finland, only data for June, July and August were analyzed. Additionally, based on our small sample of derecho cases in Finland, European derecho studies <xref ref-type="bibr" rid="bib1.bibx21" id="paren.41"><named-content content-type="pre">e.g.,</named-content></xref>, and intense MCSs observed in Finland <xref ref-type="bibr" rid="bib1.bibx48" id="paren.42"/>, derechos and intense MCSs usually occur during the afternoon and evening hours. Consequently, ERA5 data were only acquired for 12:00, 15:00 and 18:00 UTC each day, which correspond to Finnish summer times 03:00, 06:00 and 09:00 p.m. These selected times provide sufficient sampling for the convectively relevant hours.</p>
      <p id="d2e776">The trend analysis was carried out using several approaches. The three sets of criteria – <italic>the 10 km shear criteria</italic>, <italic>6 km shear criteria</italic> and <italic>Derecho-favoring environments in Finland criteria</italic> that are presented in Sect. <xref ref-type="sec" rid="Ch1.S4"/> – were applied separately in all trend analyses. For each summer, we calculated the number of favorable days (<inline-formula><mml:math id="M21" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>) on which a given criteria set was satisfied at least once per day (1pd), twice per day (2pd, not necessarily consecutive), or at all three times (3pd) during 12:00, 15:00, and 18:00 UTC. The trends were then determined separately for the 1pd, 2pd and 3pd cases.</p>
      <p id="d2e797">The warming of the global climate has become much more pronounced after ca. 1980 <xref ref-type="bibr" rid="bib1.bibx31" id="paren.43"/>. Furthermore, assimilation of satellite data into ERA5 began after 1979, producing more reliable data <xref ref-type="bibr" rid="bib1.bibx28" id="paren.44"/>. Therefore, we analyzed the trends within the 1980–2022 period, in addition to the full 1940–2022 time range.</p>
      <p id="d2e806">After separately computing <inline-formula><mml:math id="M22" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> for conditions satisfied once, twice, and three times per day using each criteria set in each summer, we calculated the Pearson and Spearman correlation coefficients between <inline-formula><mml:math id="M23" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> and time (year number) for both time periods. The <inline-formula><mml:math id="M24" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-values of these correlations were then used to evaluate the statistical significance of the trends. We used <inline-formula><mml:math id="M25" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-value of 0.05 as the threshold for statistical significance.</p>
      <p id="d2e838">In Sect. <xref ref-type="sec" rid="Ch1.S6"/> we analyze the effects large-scale atmospheric teleconnections on <inline-formula><mml:math id="M26" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>, using monthly teleconnection indeces from <xref ref-type="bibr" rid="bib1.bibx8" id="text.45"/>. The data extend from 1950 to present and include North Atlantic Oscillation (NAO), Scandinavian (SCAND), Eastern Atlantic (EA), and Eastern Atlantic/Western Russia (EAWR) indices. Additionally, we acquired monthly Atlantic Multi-decadal Oscillation (AMO) index timeseries that extends from 1948 to 2023 <xref ref-type="bibr" rid="bib1.bibx43" id="paren.46"/>.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Characteristic conditions during derechos in Finland</title>
      <p id="d2e865">Both synoptic-scale and mesoscale atmospheric conditions were analyzed for all 10 events. Since the main focus is on the atmospheric conditions favoring derecho formation in Finland, the role of mesoscale environments is more important for this study. Nevertheless, considering possible synoptic-scale patterns is also essential to understand why derechos occurred during these days. Hence, these synoptic-scale patterns are discussed in Sect. <xref ref-type="sec" rid="Ch1.S3.SS1"/>, before analyzing the mesoscale atmospheric conditions during derechos in Finland in Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>.</p>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Synoptic pattern</title>
      <p id="d2e879">Figure <xref ref-type="fig" rid="F2"/> illustrates the large-scale weather pattern during three derecho events that occurred in Finland during 2010 and 2021 (storms Asta, Veera and Paula). Similar figures for the other seven cases are presented in the Supplement (Figs. S1–S3).</p>

      <fig id="F2" specific-use="star"><label>Figure 2</label><caption><p id="d2e886">Synoptic-scale pattern during the storms Asta (29 July 2010 at 21:00 UTC) in the left column <bold>(a, d, g, j)</bold>, Veera (4 August 2010 at 12:00 UTC) in the center column <bold>(b, e, h, k)</bold> and Paula (22 June 2021 at 12:00 UTC) in the right column <bold>(c, f, i, l)</bold>. Panels <bold>(a)</bold>–<bold>(c)</bold> show wind speed (WS, shading starting from 30 m s<sup>−1</sup>) and geopotential height at 250 hPa, <bold>(d–f)</bold> wind speed (WS, shading starting from 20 m s<sup>−1</sup>) and geopotential height at 500 hPa, <bold>(g–i)</bold> specific humidity (<inline-formula><mml:math id="M29" display="inline"><mml:mi>q</mml:mi></mml:math></inline-formula>, shading) and geopotential height (black contours) at 850 hPa, and <bold>(j–l)</bold> temperature (<inline-formula><mml:math id="M30" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>) at 850 hPa (shading) and mean sea level pressure (MSLP, black contours). In all panels, blue circles indicate the approximate location of the systems at the times of the analyses and arrows point to the approximate movement of the system during the following 3 h.</p></caption>
          <graphic xlink:href="https://wcd.copernicus.org/articles/7/1571/2026/wcd-7-1571-2026-f02.png"/>

        </fig>

      <p id="d2e959">Figure <xref ref-type="fig" rid="F2"/>a–c show that storms Veera and Paula feature a southerly to southwesterly flow into Finland, whereas the flow is southeasterly during storm Asta. In all three cases, the flow extends from southern Europe into Finland, and is driven by a quasi-stationary high over Russia and a trough digging into central or western Europe. In storm Paula, the trough had developed into a cut-off low prior to derecho formation, whereas in storm Asta it had developed into a mature low. Jet streaks are observed over or just north of Finland, with all three events moving quasi-parallel and on the right-hand side of the jet streak. Moreover, storms Veera and Paula, in particular, are located near the right jet entrance region, which is known to favor ascent.</p>
      <p id="d2e965">Figure <xref ref-type="fig" rid="F2"/>d–f present 500 hPa winds that exceed 20 m s<sup>−1</sup> in all three cases. Storms Asta and Veera move under a 500 hPa jet (<inline-formula><mml:math id="M32" display="inline"><mml:mo lspace="0mm">≥</mml:mo></mml:math></inline-formula> 20 m s<sup>−1</sup>), whereas storm Paula is located in the vicinity of a particularly strong midtropospheric jet streak, with the maximum exceeding 35 m s<sup>−1</sup>.</p>
      <p id="d2e1013">At the surface, the three events feature a strong high over Russia (Fig. <xref ref-type="fig" rid="F2"/>j–l). Furthermore, a local surface low is observed, with the low center located over southern Sweden (Asta) or the Baltic Sea in between Finland and Sweden (Veera and Paula). The strongest low-pressure system among all 10 cases is observed during the only nighttime event, storm Asta, which is located near the cold front of the low. For the other two cases, the lows are significantly shallower, with the low associated with storm Veera being deeper than that associated with storm Paula. The air mass over Finland is also very warm and humid in the three cases as the 850 hPa specific humidity (<inline-formula><mml:math id="M35" display="inline"><mml:mi>q</mml:mi></mml:math></inline-formula>) exceeds 9 g kg<sup>−1</sup> in large areas over Finland (Fig. <xref ref-type="fig" rid="F2"/>g–i), while the 850 hPa temperature (<inline-formula><mml:math id="M37" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>) surpasses 285 K in southern and central Finland (Fig. <xref ref-type="fig" rid="F2"/>j–l). This observation is explained by the quasi-southerly flow, advecting warm and humid air to southern Finland. Finally, Fig. <xref ref-type="fig" rid="F2"/>j–l indicate that the systems move perpendicular to an 850 hPa horizontal temperature gradient, with colder air to the left of the movement. For storm Paula, this temperature gradient is particularly strong (approximately 15 K (300 km)<sup>−1</sup>).</p>
      <p id="d2e1063">Overall, many European warm-season derechos have been associated with an upper-level trough pattern <xref ref-type="bibr" rid="bib1.bibx20 bib1.bibx38 bib1.bibx26 bib1.bibx6 bib1.bibx59 bib1.bibx21 bib1.bibx56 bib1.bibx7" id="paren.47"><named-content content-type="pre">e.g.</named-content></xref>, and thus commonly have a meridional component of forward motion, which is also observed in our cases. In fact, the flow into Finland throughout the free troposphere has a southerly component during all 10 events, generally driven by a quasi-stationary high over Russia and a trough digging into central or western Europe. This type of pattern has been observed to increase lightning activity over southern Finland (e.g., clusters 13 and 14 in <xref ref-type="bibr" rid="bib1.bibx22" id="altparen.48"/>). In at least 6 of the 10 cases, the trough has already developed into a cut-off low before the formation of the event (see Table <xref ref-type="table" rid="TA1"/> in Appendix <xref ref-type="sec" rid="App1.Ch1.S1"/> for the corresponding events and figure numbers). This flow pattern advects warm and moist air from southern Europe, resulting in 850 hPa temperature and specific humidity exceeding 285 K and 9 g kg<sup>−1</sup>, respectively, along the trajectories of all 10 cases. Furthermore, all 10 events seemed to move approximately perpendicular to the 850 hPa horizontal temperature gradient vector and are located either within the region of strongest local gradient or slightly on its warmer side. A similar characteristic has been commonly observed also for the US bow echoes <xref ref-type="bibr" rid="bib1.bibx32" id="paren.49"/> and derechos <xref ref-type="bibr" rid="bib1.bibx33" id="paren.50"/>, as well as in European derecho events <xref ref-type="bibr" rid="bib1.bibx38 bib1.bibx24" id="paren.51"><named-content content-type="pre">e.g.</named-content></xref>.</p>
      <p id="d2e1102">At the surface, all ten cases feature a strong high over Russia (as in Fig. <xref ref-type="fig" rid="F2"/>j–l). Furthermore, a weak local low is typically observed, with the low center located over the Nordic countries. Overall, a low centered over the Nordics is found in 9 of the 10 cases (Table <xref ref-type="table" rid="TA1"/>), excluding only storm Lahja (Fig. S1l).</p>
      <p id="d2e1109">The 500 hPa wind speed exceeds 20 m s<sup>−1</sup> over some parts of Finland in all cases, which is consistent with the strong mid- to upper-level winds identified by e.g. <xref ref-type="bibr" rid="bib1.bibx9" id="text.52"/> as a characteristic of derecho environments. In total, 6 of the 10 cases are located under the 500 hPa jet (Table <xref ref-type="table" rid="TA1"/>), while the rest of the cases occur in close proximity. These observed 500 hPa wind speed values seem to fall within the range reported in Europe; for example, the 500 hPa flow in a derecho in Poland was found to have been only 10–15 m s<sup>−1</sup> <xref ref-type="bibr" rid="bib1.bibx59" id="paren.53"/>, whereas warm season derechos have also been observed to occur under midtropospheric jet streams reaching 40 m s<sup>−1</sup> <xref ref-type="bibr" rid="bib1.bibx6" id="paren.54"/>. It has also been reported that wind speeds throughout the troposphere tend to be stronger in the environments of the quasi-linear convective systems producing warm-season derechos than in non-derecho-producing systems in Europe, with the largest median difference reported in the midtroposphere <xref ref-type="bibr" rid="bib1.bibx44" id="paren.55"/>. This agrees with our result of  derechos in Finland tending to occur under a midtropospheric jet streak. Interestingly, in 6 out of the 10 events (Table <xref ref-type="table" rid="TA1"/>), the maximum of this jet streak is located directly behind the system (as in storm Veera in Fig. <xref ref-type="fig" rid="F2"/>e).</p>
      <p id="d2e1169">Finally, the 250 hPa jet streaks are also observed over or just north of Finland in all ten cases, with derechos moving quasi-parallel to them on their right-hand side. In fact, at least 4 out of 10 of the cases (Table <xref ref-type="table" rid="TA1"/>) are located in the right jet entrance region which has strong deep-layer vertical wind shear and is a dynamically favorable location for ascent. Additionally, this region lies on the warm side of the jet, with high 850 hPa temperature and humidity values observed in these cases. Of the remaining events, five (storms Unto, Asta, Lahja, Sylvi, and Verneri) are also located near the canonical entrance region but their location relative to the jet streak varies. Storm Saima was both near the left exit of a strong jet on its western side and in the right entrance of a secondary flow maximum on its northern side (Fig. S1b). Similar observations have been made in Europe where derechos have been connected to either the left jet exits <xref ref-type="bibr" rid="bib1.bibx20 bib1.bibx38" id="paren.56"><named-content content-type="pre">e.g.</named-content></xref> or right jet entrances <xref ref-type="bibr" rid="bib1.bibx26" id="paren.57"><named-content content-type="pre">e.g.</named-content></xref>. Comparable findings have also been reported in the US <xref ref-type="bibr" rid="bib1.bibx10 bib1.bibx25" id="paren.58"><named-content content-type="pre">e.g.</named-content></xref>.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Mesoscale environments</title>
      <p id="d2e1197">In this section, the mesoscale atmospheric environments of derechos in Finland are examined, focusing on conditions along their approximate trajectories. The main interest is in the environment throughout the lifetime of each event rather than in single-point extremes. Thus, noting that a variable exceeds a threshold along the full trajectory (recall Fig. <xref ref-type="fig" rid="F1"/>) means that even the lowest values along the trajectory exceed it (unless otherwise stated). Figure <xref ref-type="fig" rid="F3"/> presents mesoscale conditions for the same three example cases shown in Fig. <xref ref-type="fig" rid="F2"/>. Storms Veera and Paula were selected as representative of an “average” derecho in Finland, as their mesoscale conditions were typical of the range observed in Finland, while storm Asta is an interesting case of being the only known nighttime derecho in Finland. Similar figures for other cases are again available in the Supplement (Figs. S4–S6).</p>

      <fig id="F3" specific-use="star"><label>Figure 3</label><caption><p id="d2e1208">Atmospheric conditions in southern and central Finland during the storms Asta (29 July 2010 at 21:00 UTC) in the left column <bold>(a, d, g, j, m)</bold>, Veera (4 August 2010 at 12:00 UTC) in the center column <bold>(b, e, h, k, n)</bold> and Paula (22 June 2021 at 12:00 UTC) in the right column <bold>(c, f, i, l, o)</bold>. Panels <bold>(a)</bold>–<bold>(c)</bold> show CAPE (shading, isolines of 250 and 1000 J kg<sup>−1</sup> are also drawn with black dashed contours to help readability), <bold>(d–f)</bold> equivalent potential temperature (<inline-formula><mml:math id="M44" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">E</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) at 850 hPa (shading, 325 K isolines drawn with dashed black contours), <bold>(g–i)</bold> 0–10 km vertical wind shear (shading, 20 m s<sup>−1</sup> isolines drawn with dashed black contours), <bold>(j–l)</bold> 0–6 km vertical wind shear (shading, 20 m s<sup>−1</sup> isolines drawn with dashed black contours) and <bold>(m–o)</bold> 6–10 km layer mean wind speed (shading, 20 m s<sup>−1</sup> isotachs drawn with dashed black contours). In all panels, aquamarine circles indicate the approximate location of the systems at the times of the analyses and arrows point to the approximate movement of the system during the following 3 h.</p></caption>
          <graphic xlink:href="https://wcd.copernicus.org/articles/7/1571/2026/wcd-7-1571-2026-f03.png"/>

        </fig>

      <p id="d2e1305">The high air mass temperature and humidity noted in the synoptic-scale analysis in Sect. <xref ref-type="sec" rid="Ch1.S3.SS1"/> is suggestive of convective instability in these three cases. Indeed, moderate convective available potential energy (CAPE) values are present during the three derechos (Fig. <xref ref-type="fig" rid="F3"/>a–c). Throughout the lifetime of storm Veera, CAPE ranges from 500 to 1000 J kg<sup>−1</sup> in its near environment (region extending ca. 100 km ahead of the storm along its direction of propagation), which represents mid-range of all analyzed cases. In storm Paula, the CAPE values are among the highest as CAPE exceeds 2000 J kg<sup>−1</sup> in the vicinity of the derecho. During the nighttime event, Asta, the CAPE values are slightly higher compared to storm Veera but slightly lower compared to storm Paula. In total, CAPE values surpass 500 J kg<sup>−1</sup> along 9 of the 10 trajectories, with only storm Lahja remaining partly below this value (Fig. S4c). The maximum CAPE, exceeding 3000 J kg<sup>−1</sup>, is observed on the trajectory of storm Sylvi (Fig. S5a), so the variability among the cases is large.</p>
      <p id="d2e1362">On average, the CAPE values are lower than those reported by <xref ref-type="bibr" rid="bib1.bibx9" id="text.59"/> in the United States (US), as expected given that CAPE tends to be lower in Europe than in the US <xref ref-type="bibr" rid="bib1.bibx60" id="paren.60"/>. Furthermore, <xref ref-type="bibr" rid="bib1.bibx9" id="text.61"/> and <xref ref-type="bibr" rid="bib1.bibx44" id="text.62"/> also found that derechos typically exhibit lower CAPE than other severe convective storms in the US and Europe, respectively. The relatively frequently occurring elevated mixed layer in the US is likely one reason for higher CAPE values in the US derechos. Additionally, the equilibrium level is higher in the US than in Europe <xref ref-type="bibr" rid="bib1.bibx60" id="paren.63"/> contributing to higher CAPE values <xref ref-type="bibr" rid="bib1.bibx66" id="paren.64"/>.</p>
      <p id="d2e1384">Nonetheless, the CAPE values we observe are similar to or slightly lower than those reported in European derechos. An 18-year climatological study of derechos in Germany noted that a mixed-layer CAPE median for warm-season derechos occurring in Germany was 513 J kg<sup>−1</sup> based on proximity soundings <xref ref-type="bibr" rid="bib1.bibx21" id="paren.65"/>, which is close to the ERA5 (most unstable) CAPE values observed in most derechos in Finland. Additionally, most unstable CAPE associated with the formation environment of a derecho in Poland ranged between 1000–2500 J kg<sup>−1</sup> <xref ref-type="bibr" rid="bib1.bibx59" id="paren.66"/>, which is comparable to our high-end cases, whereas a derecho in Spain had (surface-based) CAPE exceeding 3000 J kg<sup>−1</sup> <xref ref-type="bibr" rid="bib1.bibx38" id="paren.67"/> near the genesis region, with similarly high (most unstable) CAPE values being observed only for storm Sylvi in Finland. Importantly, the CAPE values we observe do not appear to be higher than those associated with intense MCSs reported by <xref ref-type="bibr" rid="bib1.bibx48" id="text.68"/>. This finding is inline with the results of <xref ref-type="bibr" rid="bib1.bibx9" id="text.69"/> who found that CAPE does not distinguish derecho-producing from non-derecho-producing systems.</p>
      <p id="d2e1439">High values of equivalent potential temperature (<inline-formula><mml:math id="M55" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) have been reported in several European derecho studies, especially at 850 hPa. For example, in a derecho in Germany <xref ref-type="bibr" rid="bib1.bibx20" id="paren.70"/>, <inline-formula><mml:math id="M56" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> values as high as 340 K were advected to the area, and in a derecho in Belgium <xref ref-type="bibr" rid="bib1.bibx26" id="paren.71"/>, the <inline-formula><mml:math id="M57" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> maximum at 850 hPa was ca. 341 K. Our findings (e.g. in Fig. <xref ref-type="fig" rid="F3"/>d–f) are broadly consistent with these observations. <inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (850 hPa) surpasses 325 K in all 10 cases on their trajectories throughout their lifetime, with the maximum value in Finland reaching over 340 K during storm Sylvi (Fig. S5c). Since the 850 hPa <inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> average over the grid area for the three summer months (considering times 12:00, 15:00 and 18:00 UTC) is 310 K during 2000–2022, the values observed along the derecho trajectories are anomalously large. High values of <inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> above the boundary layer diminish the adverse effects of entrainment <xref ref-type="bibr" rid="bib1.bibx15" id="paren.72"/>, and thereby favor strong convection. Additionally, <xref ref-type="bibr" rid="bib1.bibx65" id="text.73"/> showed that dry mid-level (850–500 hPa) strongly suppresses convective storms even when conditions for convection are otherwise favorable, which could be the reason why derechos in Finland tend to occur only when 850 hPa <inline-formula><mml:math id="M61" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is sufficiently large.</p>
      <p id="d2e1535">For the kinematic parameters, both the 0–10 km (Fig. <xref ref-type="fig" rid="F3"/>g–i) and 0–6 km shear (Fig. <xref ref-type="fig" rid="F3"/>j–l) are relatively strong over large areas during the three example derechos. Indeed, the 0–6 km shear is well above 15 m s<sup>−1</sup> along the trajectories of storms Veera and Paula. Nevertheless, the strongest deep-layer shear is noted during storm Asta, where the 0–6 and 0–10 km shears exceed 25 and 30 m s<sup>−1</sup>, respectively. However, due to the locations of the jet streaks (recall Sect. 3.1), the highest 0–10 km shear values are generally located to the left of the derecho trajectories, whereas the highest 0–6 km shear values generally match better along the trajectories due to derechos being located under or in the vicinity of the 500 hPa jet. In two cases (storms Unto (Fig. S4g) and Verneri (Fig. S6f), the 0–10 km shear is even below 10 m s<sup>−1</sup> on the trajectories. Additionally, the 0–6 km shear is stronger than the 0–10 km shear during storms Unto (Fig. S4), Lahja (Fig. S4) and Verneri (Fig. S6) which is the opposite to the other events. Storm Verneri stands out as an outlier, with abnormally weak upper-level winds and relatively low instability compared to other events. Furthermore, the surface winds (as observed from the MSLP contours in Fig. S3h) were stronger during Verneri, partly explaining the weaker deep-layer shear.</p>
      <p id="d2e1578">While the variability in the 0–6 km shear is relatively small, with a majority of the values being above 15 m s<sup>−1</sup>, the 0–10 km shear exhibits considerably larger variability between the events as the values vary approximately from 5 to 35 m s<sup>−1</sup> along the trajectories. <xref ref-type="bibr" rid="bib1.bibx9" id="text.74"/> found that 90 % of the US derechos experienced the 0–10 km shear stronger than about 19.5 m s<sup>−1</sup>, which is higher than in most of our cases. Only during storm Asta the 0–10 km shear exceeds 19.5 m s<sup>−1</sup> along the trajectory throughout the lifetime of the system. Thus, the 0–10 km shear is relatively weak in derechos in Finland compared to the US. Additionally, the equilibrium level for lightning events is lower in Europe than in the US <xref ref-type="bibr" rid="bib1.bibx60" id="paren.75"/>, implying that shear between the near-surface and 10 km wind may be less relevant for European convective environments. Therefore, it was considered whether the 8 km altitude should be used instead of the 10 km altitude. However, Pearson correlation between the 0–10 km shear and 0–8 km shear in convective situations (in grid points where CAPE <inline-formula><mml:math id="M69" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 250 J kg<sup>−1</sup>) is strong (0.89) during 1980–2022, suggesting that the use of 0–10 km shear is adequate. Additionally, the difference between our observations and US derechos regarding the 0–10 km shear is expected as <xref ref-type="bibr" rid="bib1.bibx60" id="text.76"/> found that the vertical wind shear in European convective environments is generally weaker than in the US. We also use the 100 m altitude as ground (0 km altitude) which might play a minor role in our shear value comparison.</p>
      <p id="d2e1658">On the other hand, <xref ref-type="bibr" rid="bib1.bibx9" id="text.77"/> found that the 0–6 km shear exceeded approximately 12 m s<sup>−1</sup> in 90 % of the US derechos, and this value is met during every derecho in Finland, with a small majority of the events surpassing 15 m s<sup>−1</sup> along the trajectories (as in Fig. <xref ref-type="fig" rid="F3"/>j–l). While the 0–6 km shear values are known to be underestimated in ERA5 compared to soundings <xref ref-type="bibr" rid="bib1.bibx62" id="paren.78"/>, the observed 0–6 km shear values in Finland are still clearly lower than, for example, in Germany where a median of 20.1 m s<sup>−1</sup> was reported based on proximity soundings for an 18-year warm-season derecho climatology <xref ref-type="bibr" rid="bib1.bibx21" id="paren.79"/>.</p>
      <p id="d2e1710">Finally, the 6–10 km <inline-formula><mml:math id="M74" display="inline"><mml:mi>U</mml:mi></mml:math></inline-formula> exceeds 20 m s<sup>−1</sup> along the trajectories of the three example derechos (Fig. <xref ref-type="fig" rid="F3"/>m–o). Across all the events, the 6–10 km <inline-formula><mml:math id="M76" display="inline"><mml:mi>U</mml:mi></mml:math></inline-formula> surpasses 15 m s<sup>−1</sup> along the full trajectory, except for storm Aatu (Fig. S6i). The result is consistent with the US derechos since 90 % of them experienced upper-level winds stronger than approximately 16 m s<sup>−1</sup> <xref ref-type="bibr" rid="bib1.bibx9" id="paren.80"/>. The strongest 6–10 km mean winds (<inline-formula><mml:math id="M79" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 25 m s<sup>−1</sup>) are observed during storms Saima (Fig. S4n) and Asta (Fig. <xref ref-type="fig" rid="F3"/>m), with the former being associated with a particularly strong upper-level jet, and the latter influenced by the moderately deep low-pressure system.</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Development and evaluation of derecho environment criteria for Finland</title>
      <p id="d2e1799">In total, three sets of criteria were developed to capture environments favoring derecho formation in Finland. Two of these are based on the findings of <xref ref-type="bibr" rid="bib1.bibx9" id="text.81"/> and the analysis of CAPE during derecho events in Finland (Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>). They are discussed in Sect. <xref ref-type="sec" rid="Ch1.S4.SS1"/>. However, atmospheric conditions in Europe, particularly in Finland, differ from those in the US <xref ref-type="bibr" rid="bib1.bibx60" id="paren.82"/>. Therefore, the third criteria set was derived from the analysis of atmospheric conditions of the 10 events in Finland (Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>), and it is introduced in Sect. <xref ref-type="sec" rid="Ch1.S4.SS2"/>. The performance of all three criteria sets is then evaluated for the Finnish derecho cases in Sect. <xref ref-type="sec" rid="Ch1.S4.SS3"/>.</p>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>10 and 6 km criteria sets</title>
      <p id="d2e1827">The 10th percentiles for the discriminating variables (recall Sect. <xref ref-type="sec" rid="Ch1.S2.SS3"/>) found by <xref ref-type="bibr" rid="bib1.bibx9" id="text.83"/> were selected as baseline thresholds for the criteria sets. These thresholds correspond roughly to 19.5 m s<sup>−1</sup> for 0–10 km shear, 12 m s<sup>−1</sup> for 0–6 km shear and 16 m s<sup>−1</sup> for 6–10 km <inline-formula><mml:math id="M84" display="inline"><mml:mi>U</mml:mi></mml:math></inline-formula>. Even though CAPE was not found to be a discriminating variable, it was used as a proxy to distinguish derecho environments from non-convective windstorms. Since all ten cases exceeded a CAPE value of 250 J kg<sup>−1</sup> along their trajectories (Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>), it was selected as the minimum threshold for a derecho-favoring environment in Finland.</p>
      <p id="d2e1893">The first criteria set, hereafter <italic>the 10 km criteria set</italic>, required that the 0–10 km shear, 6–10 km <inline-formula><mml:math id="M86" display="inline"><mml:mi>U</mml:mi></mml:math></inline-formula> and CAPE meet their respective minimum thresholds of 19.5 m s<sup>−1</sup>, 16 m s<sup>−1</sup> and 250 J kg<sup>−1</sup> at the same grid point. Since the formation of derechos requires favorable atmospheric conditions over a sufficiently large area, it was also required that at least 3.5 % of the selected grid area (Sect. <xref ref-type="sec" rid="Ch1.S2.SS1"/>) satisfy these thresholds. The area fraction was chosen so that the Finnish derecho events would meet the criteria at least once per day (1pd), with the exception of the outlier storm Verneri. This area was not required to be contiguous since derechos do not necessarily decay when passing through small regions that are not favorable.</p>

<table-wrap id="T2" specific-use="star"><label>Table 2</label><caption><p id="d2e1948">Threshold values for parameters in all three criteria sets.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Condition</oasis:entry>
         <oasis:entry colname="col2">10 km criteria set</oasis:entry>
         <oasis:entry colname="col3">6 km criteria set</oasis:entry>
         <oasis:entry colname="col4">DEF criteria set</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">shear (m s<sup>−1</sup>)</oasis:entry>
         <oasis:entry colname="col2">0–10 km <inline-formula><mml:math id="M91" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 19.5</oasis:entry>
         <oasis:entry colname="col3">0–6 km <inline-formula><mml:math id="M92" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 12</oasis:entry>
         <oasis:entry colname="col4">0–10 km <inline-formula><mml:math id="M93" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 15 or 0–6 km <inline-formula><mml:math id="M94" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 12.5</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">CAPE (J kg<sup>−1</sup>)</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M96" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 250</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M97" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 250</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M98" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 250</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">6–10 km <inline-formula><mml:math id="M99" display="inline"><mml:mi>U</mml:mi></mml:math></inline-formula> (m s<sup>−1</sup>)</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M101" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 16</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M102" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 16</oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">850 hPa <inline-formula><mml:math id="M103" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (K)</oasis:entry>
         <oasis:entry colname="col2">–</oasis:entry>
         <oasis:entry colname="col3">–</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M104" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 325</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Area (%)</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M105" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 3.5</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M106" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 5</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M107" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 3.5</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d2e2198">The second criteria set, hereafter <italic>the 6 km criteria set</italic>, was similar to the 10 km criteria set but it used 0–6 km shear and its respective threshold value of 12 m s<sup>−1</sup> instead of 0–10 km shear. Additionally, the required area fraction was increased to 5 %. The 6–10 km <inline-formula><mml:math id="M109" display="inline"><mml:mi>U</mml:mi></mml:math></inline-formula> and CAPE thresholds remained the same as in the 10 km criteria set. The overview of criteria sets and their respective thresholds is summarized in Table <xref ref-type="table" rid="T2"/>.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Derecho-favoring environments in Finland criteria set</title>
      <p id="d2e2233">The 10 and 6 km criteria sets have limitations, which are discussed in Sect. <xref ref-type="sec" rid="Ch1.S4.SS3"/>. Thus, the third criteria set, hereafter <italic>the Derecho-favoring environments in Finland (DEF) criteria set</italic>, was developed to adapt the 10 and 6 km criteria set framework to the specific atmospheric conditions in Finland. It was tailor-made to be satisfied during the observed summertime derechos in Finland along their trajectories throughout their lifetime, including the outlier storm Verneri. The adaptation of parameter thresholds was done by selecting values that are marginally exceeded in the observed cases and that minimize the number of DEF-positive days otherwise.</p>
      <p id="d2e2241">The CAPE condition in the DEF criteria set was implemented in the same manner as in the 10 km and 6 km criteria sets, with the minimum threshold of 250 J kg<sup>−1</sup>. Since the results of Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/> showed that particularly high 850 hPa <inline-formula><mml:math id="M111" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> values were present along the derecho trajectories, the 6–10 km <inline-formula><mml:math id="M112" display="inline"><mml:mi>U</mml:mi></mml:math></inline-formula> criterion used in the 10 and 6 km criteria sets was replaced with an 850 hPa <inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> threshold of 325 K. Similar to the CAPE criterion, this threshold was marginally satisfied along the trajectory of every event. Conversely, the 6–10 km <inline-formula><mml:math id="M114" display="inline"><mml:mi>U</mml:mi></mml:math></inline-formula> criterion was found to provide negligible additional value to the DEF criteria set.</p>
      <p id="d2e2295">We also considered using the difference of <inline-formula><mml:math id="M115" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> at the surface and midtroposphere (<inline-formula><mml:math id="M116" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) since it is considered as an indicator for damaging microbursts <xref ref-type="bibr" rid="bib1.bibx4" id="paren.84"/>. However, the variability between the cases was too high (from approximately 5 to 25 K, not shown), and therefore <inline-formula><mml:math id="M117" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> was eventually not used. The variability in <inline-formula><mml:math id="M118" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in European derechos has also been found to be high in other studies <xref ref-type="bibr" rid="bib1.bibx44" id="paren.85"><named-content content-type="pre">e.g.,</named-content></xref>.</p>
      <p id="d2e2357">In the DEF criteria set, the two shear parameters from the 10 and 6 km criteria sets were combined into a single combined shear criterion. Based on the results of Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/> and additional sensitivity testing, merging the areas satisfying the 0–10 and 0–6 km shear thresholds produced a larger favorable area that better aligned with the derecho trajectories without substantially increasing the number of favorable days on which no derechos were observed. First, the 0–6 km shear threshold was increased from 12 to 12.5 m s<sup>−1</sup> (compared to the 6 km criteria set) since this change did not significantly reduce the size of favorable area on derecho days, but it nevertheless reduced the number of favorable days on which derechos did not occur. Increasing the threshold further to 13 m s<sup>−1</sup>, however, made the criteria too restrictive for some events. Secondly, reducing the 0–10 km shear threshold (compared to the 10 km criteria set) from 19.5 to 15 m s<sup>−1</sup> and requiring that at least one of the two modified shear criteria to be satisfied (0–10 km shear <inline-formula><mml:math id="M122" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 15 m s<sup>−1</sup> or 0–6 km shear <inline-formula><mml:math id="M124" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 12.5 m s<sup>−1</sup>) provided the best trade-off between limiting the number of favorable non-derecho days and still capturing all derecho events.</p>
      <p id="d2e2438">The combined shear, 850 hPa <inline-formula><mml:math id="M126" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and CAPE conditions were required to be satisfied simultaneously at the same grid point. As in the 10 km criteria set, these conditions also needed to be met over at least 3.5 % of the grid area. Compared to the 10 and 6 km criteria sets in which the area thresholds were selected so that the criteria sets were satisfied at least once on a derecho day, the DEF criteria set was required to be met at all three analyzed times. The area fraction for the DEF criteria set could have been set higher if storm Verneri had been excluded. However, given the small number of derechos observed in Finland, it was decided to not omit any event. The threshold values for the DEF criteria set are also summarized in Table <xref ref-type="table" rid="T2"/>.</p>
</sec>
<sec id="Ch1.S4.SS3">
  <label>4.3</label><title>Evaluation of criteria sets</title>
      <p id="d2e2462">Figure <xref ref-type="fig" rid="F4"/> shows the performance of all three criteria sets during storms Asta, Veera and Paula at the same analysis times as in Figs. <xref ref-type="fig" rid="F2"/> and <xref ref-type="fig" rid="F3"/> (performance during the seven other events is shown in Figs. S7–S9). In both cases, all three criteria sets are satisfied in sufficiently large areas in the surroundings of the observed locations of the derechos. During storms Asta and Paula, in particular, the area where all three criteria sets are satisfied aligns well along the trajectory of the system (Fig. <xref ref-type="fig" rid="F4"/>a, c).</p>

      <fig id="F4" specific-use="star"><label>Figure 4</label><caption><p id="d2e2475">Areas satisfying each criteria set during the storms Asta (29 July 2010 at 21:00 UTC) in panel <bold>(a)</bold>, Veera (4 August 2010 at 12:00 UTC) in panel <bold>(b)</bold> and Paula (22 June 2021 at 12:00 UTC) in panel <bold>(c)</bold>. Shades of gray indicate how many of the three criteria sets are met in each grid cell. The areas satisfying the 10 km criteria set are outlined with red dotted lines, the 6 km criteria set with blue dashed lines and the DEF criteria set with gold solid lines. Aquamarine circles indicate the approximate location of the systems at the times of the analyses and arrows point to the approximate movement of the system during the following 3 h.</p></caption>
          <graphic xlink:href="https://wcd.copernicus.org/articles/7/1571/2026/wcd-7-1571-2026-f04.png"/>

        </fig>

      <p id="d2e2493">In the case of storm Veera, a quite common problem for the 10 km shear criteria set arises: the satisfied area is more to the left of the derecho trajectory than along it (Fig. <xref ref-type="fig" rid="F4"/>b). The problem is even worse for storm Unto (Fig. S7a) as the region satisfied by the 10 km criteria is ca. 150 km to the left of the trajectory due to weaker upper-level winds. Overall, the 10 km criteria set aligns moderately with the path of the derecho in roughly 6 out of 10 events. However, this set fails in Unto (as mentioned above) and Verneri (where the 10 km criteria were not fulfilled anywhere in the study area, Fig. S9b). Additionally, during storms Lahja (Fig. S7c) and Aatu (Fig. S9a) the regions where the 10 km criteria set is satisfied are too far to the north. Therefore, we can conclude that the 0–10 km shear threshold of 19.5 m s<sup>−1</sup> is too strict for some derechos, which relates to the jet stream at 250 hPa being more leftward relative to the derecho's trajectory. Hence, the area satisfied by the 10 km criteria is generally smaller than for the other two criteria sets during the derechos.</p>
      <p id="d2e2511">The 6 km shear criteria set works better than the 10 km criteria set since the satisfied regions match better with the paths of the derechos. Still, some limitations are obvious. Similarly as for the 10 km criteria, the regions satisfied by the 6 km criteria during storm Aatu (Fig. S9a) are too much to the north due to the weaker midtropospheric winds (Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>). Also, in the outlier storm Verneri, it was only satisfied once per day (Fig. S9b). Furthermore, even though the satisfied regions during storm Lahja were closer to the location of the system compared to the 10 km criteria (Fig. S7c), they were still slightly too far to the north because the regions fulfilled by the 6–10 km <inline-formula><mml:math id="M128" display="inline"><mml:mi>U</mml:mi></mml:math></inline-formula> and CAPE thresholds did not coincide. Nonetheless, the 6 km criteria set outperformed the 10 km criteria set as it was satisfied very well along the trajectories of the seven remaining cases.</p>
      <p id="d2e2523">The DEF criteria set was developed to avoid the aforementioned issues, and it matched quite well with all 10 cases. However, since the formation environments for derechos varied, it was not possible to achieve one perfect criteria set. For example, the outlier storm Verneri was a tricky one to include in any criteria set. Additionally, in the near surroundings of storm Saima (Fig. S7b), CAPE and 850 hPa <inline-formula><mml:math id="M129" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (Fig. S4b, e) were untypically low, although they were rapidly increasing along the trajectory. Despite these minor problems, the DEF criteria set captured well the environments favoring derecho formation in Finland.</p>

      <fig id="F5" specific-use="star"><label>Figure 5</label><caption><p id="d2e2539">Performance of the criteria sets during the summer of 2010. Vertical bars in both panels indicate days when derechos occurred. Panel <bold>(a)</bold> shows the fraction (%) of the grid area where each criteria set is satisfied. The red line represents the 10 km criteria set, the blue line the 6 km criteria set, and the gold line the DEF criteria set. Data includes three time steps per day (12:00, 15:00, and 18:00 UTC), as described in Sect. <xref ref-type="sec" rid="Ch1.S2.SS4"/>. Horizontal lines illustrate the area demands for each criteria set: 5 % for the 6 km criteria set (blue, dashed) and 3.5 % for both the 10 km (red, dashed) and DEF criteria sets (gold, dotted). Panel <bold>(b)</bold> presents the favorable days throughout the summer for each criteria set, with conditions satisfied once per day (1pd), twice per day (2pd) and at all three times per day (3pd), illustrated with bold lines. Total number of favorable days for each category is indicated on the left side of the panel.</p></caption>
          <graphic xlink:href="https://wcd.copernicus.org/articles/7/1571/2026/wcd-7-1571-2026-f05.png"/>

        </fig>

      <p id="d2e2556">Figure <xref ref-type="fig" rid="F5"/> demonstrates the performance of all three criteria sets during the summer of 2010 which was an exceptionally warm summer in Finland and resulted in four derecho days in a span of 1.5 weeks. The regions where the criteria sets are satisfied in comparison to the grid area are quite large during the derecho days, especially for the 6 km and DEF criteria sets, with relative area values exceeding 50 % during storms Veera and Sylvi (Fig. <xref ref-type="fig" rid="F5"/>a). Overall, Fig. <xref ref-type="fig" rid="F5"/>a shows that all criteria sets easily meet the requirements for classification of a favorable day for derecho (recall Sect. <xref ref-type="sec" rid="Ch1.S2.SS4"/>), with conditions being satisfied at least once per day (1pd) of the three analyzed times (12:00, 15:00 and 18:00 UTC). All of the criteria sets also satisfy the conditions at least twice per day (2pd), but the 10 km criteria set is not satisfied at all three times (3pd) on the days of storms Asta and Lahja (Fig. <xref ref-type="fig" rid="F5"/>b). Storm Asta is the only event that occurred mostly during the night, and therefore the favorable conditions (based on the 10 km criteria set) were present slightly later during the day compared to other events. For storm Lahja, the regions satisfying the 0–10 km shear and CAPE conditions did not coincide well.</p>
      <p id="d2e2569">From Fig. <xref ref-type="fig" rid="F5"/>b, we can also determine how many favorable days each criteria set captures during the summer of 2010, with conditions satisfied 1pd, 2pd and 3pd. The number of favorable days (<inline-formula><mml:math id="M130" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>) decreases when more times (pd's) are required, as expected. Nevertheless, <inline-formula><mml:math id="M131" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> is much larger for all the criteria sets and pd’s than the number of derecho days (four). One reason for this may be that the criteria do not account for whether convection is actually initiated. Nonetheless, the summer of 2010 was indeed special due to its prolonged periods of warm and humid air mass being present in Finland. During the time periods when the conditions were satisfied (e.g. in early/mid July), severe thunderstorms occurred in Finland, but they were not classified as derechos.</p>
      <p id="d2e2589">During the other summers when derechos occurred (2002; Fig. S10, 2006; Fig. S11, 2021; Fig. S12, and 2022; Fig. S13), <inline-formula><mml:math id="M132" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> is clearly smaller than in the summer of 2010. For example, the DEF criteria set finds only six favorable days for the 1pd condition and four for both 2pd and 3pd from the summer of 2006 (Fig. S11). Nevertheless, there were also more derechos in summer 2010 than in other summers, indicating that the prevalence of <inline-formula><mml:math id="M133" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> is related to the frequency of derechos, including the 2010 indirect series of derechos (as defined by <xref ref-type="bibr" rid="bib1.bibx3" id="altparen.86"/>).</p>

      <fig id="F6" specific-use="star"><label>Figure 6</label><caption><p id="d2e2611">As in Fig. <xref ref-type="fig" rid="F5"/> but for combinations of criteria within the DEF criteria set, with the dashed lines representing the DEF criteria set excluding the 850 hPa <inline-formula><mml:math id="M134" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">E</mml:mi></mml:msub><mml:mo>≥</mml:mo><mml:mn mathvariant="normal">325</mml:mn></mml:mrow></mml:math></inline-formula> K condition (DEF-THE, purple), CAPE <inline-formula><mml:math id="M135" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 250 J kg<sup>−1</sup> condition (DEF-CA, pink) and combined shear condition (DEF-COM, black). The gold solid line shows the full DEF criteria set (DEF) as a reference.</p></caption>
          <graphic xlink:href="https://wcd.copernicus.org/articles/7/1571/2026/wcd-7-1571-2026-f06.png"/>

        </fig>

      <p id="d2e2656">Since the DEF criteria set is the best suited for derechos in Finland, the impacts of its individual criteria conditions to <inline-formula><mml:math id="M137" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> are studied in more detail. Figure <xref ref-type="fig" rid="F6"/> illustrates how excluding one condition at a time from the criteria set affects the area of satisfied conditions (a) and <inline-formula><mml:math id="M138" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> (b) during the summer of 2010. From both panels, it can be determined that each individual criterion has an effect on <inline-formula><mml:math id="M139" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>. Despite the combined shear criterion (recall Sect. <xref ref-type="sec" rid="Ch1.S4.SS2"/>) being satisfied during most of the summer, at least somewhere within the grid area (not shown), it still contributes to the DEF criteria set. In fact, the areas where the shear criterion is satisfied do not necessarily match with the areas where the other conditions (CAPE and 850 hPa <inline-formula><mml:math id="M140" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) are fulfilled.</p>
      <p id="d2e2696">Importantly, during the summer of 2010, the combined shear and CAPE conditions (DEF-THE) were quite often satisfied at least once per day, but when they were demanded to be met at least twice per day, <inline-formula><mml:math id="M141" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> clearly decreased. This observation repeats across all derecho summers (2002; Fig. S14, 2006; Fig. S15, 2021; Fig. S16, and 2022; Fig. S17). Furthermore, <inline-formula><mml:math id="M142" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> obtained without the <inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> condition is much higher compared to that obtained with the full DEF criteria, particularly during derecho summers other than 2010 (Figs. S14–S17). Thus, it is not rare for shear and CAPE to meet their respective criteria conditions simultaneously, but it is much less common that high values of shear, CAPE and 850 hPa <inline-formula><mml:math id="M144" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> coexist for a prolonged time period (<inline-formula><mml:math id="M145" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 3 h). Thus, a key strength of the criteria set is its ability to discriminate derecho-producing atmospheric environments from those that do not produce derechos. In particular, the results in Fig. <xref ref-type="fig" rid="F6"/> highlight the importance of 850 hPa <inline-formula><mml:math id="M146" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in the DEF criteria set and the presence of high 850 hPa <inline-formula><mml:math id="M147" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> during derechos in Finland.</p>
</sec>
</sec>
<sec id="Ch1.S5">
  <label>5</label><title>Trends in frequency of atmospheric conditions favoring derecho formation</title>
      <p id="d2e2777">In this section, the frequency of environments favoring derecho formation is analyzed by applying the criteria sets discussed in Sect. <xref ref-type="sec" rid="Ch1.S4.SS1"/>–<xref ref-type="sec" rid="Ch1.S4.SS2"/> and using the trend analysis methods described in Sect. <xref ref-type="sec" rid="Ch1.S2.SS4"/>. The focus is mainly on determining whether the frequency has changed during recent decades. The number of favorable days (<inline-formula><mml:math id="M148" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>) for every summer within the 1940–2022 time range is shown in Fig. <xref ref-type="fig" rid="F7"/>. It was obtained by applying each criteria set separately, with the conditions required to be satisfied at least twice per day (2pd). Similar figures for at least once per day (1pd) and at all three times (3pd) cases are in the Supplement (Figs. S18–S19).</p>

      <fig id="F7"><label>Figure 7</label><caption><p id="d2e2797">Number of favorable days (<inline-formula><mml:math id="M149" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>) per year, with conditions satisfied at least twice per day (2pd), obtained with the 10 km criteria set (<bold>a</bold>, solid red line), 6 km criteria set (<bold>b</bold>, solid blue line) and DEF criteria set (<bold>c</bold>, solid gold line). Linear regressions are fitted to each panel for both the 1940–2022 time range (dashed gray lines) and 1980–2022 time range (solid gray lines). The dotted lines represent 7-year moving averages (7yr MA).</p></caption>
        <graphic xlink:href="https://wcd.copernicus.org/articles/7/1571/2026/wcd-7-1571-2026-f07.png"/>

      </fig>

      <p id="d2e2822">The first observation from Fig. <xref ref-type="fig" rid="F7"/> is that the interannual variability in <inline-formula><mml:math id="M150" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> across all criteria sets is large, with <inline-formula><mml:math id="M151" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> ranging, for example, for the DEF criteria set from 0 to 23. Summers 1954, 1972, and 2010 stand out with particularly high <inline-formula><mml:math id="M152" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>. To highlight differences among the criteria sets, summer 1953 is found to be extremely favorable for derechos by the 10 and 6 km criteria sets with <inline-formula><mml:math id="M153" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> being 24 and 20, respectively, but the DEF criteria only captures 9 favorable days. Conversely, the DEF criteria obtains 15 favorable days from summer 1988, while the 10 and 6 km criteria sets are only satisfied on 8 and 7 d, respectively.</p>
      <p id="d2e2856">Opposite to Fig. <xref ref-type="fig" rid="F5"/> in Sect. <xref ref-type="sec" rid="Ch1.S4.SS3"/> where the DEF criteria set produced the highest <inline-formula><mml:math id="M154" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> during summer 2010, it actually captures the least <inline-formula><mml:math id="M155" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> on average within the whole time range, again highlighting the unusualness of summer 2010. In fact, the DEF criteria set identifies 5.2 favorable days on average per summer, whereas the 10 and 6 km criteria sets obtain 9.0 and 7.1 d, respectively. For 1pd, the respective averages were 17.6 for the 10 km criteria set, 13.3 for the 6 km criteria set and 6.9 for the DEF criteria set. On the other hand, applying the 3pd condition decreased <inline-formula><mml:math id="M156" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> with all criteria set as the averages were 4.5, 3.6 and 3.3 for the 10 km, 6 km and DEF criteria sets, respectively.</p>

<table-wrap id="T3" specific-use="star"><label>Table 3</label><caption><p id="d2e2887">Pearson and Spearman correlations and <inline-formula><mml:math id="M157" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-values for the 10 km, 6 km and DEF criteria sets, with conditions satisfied either 1pd, 2pd or 3pd. Results are shown for 1940–2022 and 1980–2022 periods side by side. Statistically significant correlations (<inline-formula><mml:math id="M158" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M159" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05) are bolded.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="9">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right" colsep="1"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry rowsep="1" namest="col2" nameend="col5" align="center" colsep="1">1940–2022 </oasis:entry>
         <oasis:entry rowsep="1" namest="col6" nameend="col9" align="center">1980–2022 </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Criteria</oasis:entry>
         <oasis:entry colname="col2">Pearson</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M160" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-value</oasis:entry>
         <oasis:entry colname="col4">Spearman</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M161" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-value</oasis:entry>
         <oasis:entry colname="col6">Pearson</oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M162" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-value</oasis:entry>
         <oasis:entry colname="col8">Spearman</oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M163" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-value</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">10 km 1pd</oasis:entry>
         <oasis:entry colname="col2"><bold>0.24</bold></oasis:entry>
         <oasis:entry colname="col3"><bold>0.029</bold></oasis:entry>
         <oasis:entry colname="col4"><bold>0.25</bold></oasis:entry>
         <oasis:entry colname="col5"><bold>0.023</bold></oasis:entry>
         <oasis:entry colname="col6"><bold>0.33</bold></oasis:entry>
         <oasis:entry colname="col7"><bold>0.03</bold></oasis:entry>
         <oasis:entry colname="col8"><bold>0.34</bold></oasis:entry>
         <oasis:entry colname="col9"><bold>0.027</bold></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">10 km 2pd</oasis:entry>
         <oasis:entry colname="col2"><bold>0.26</bold></oasis:entry>
         <oasis:entry colname="col3"><bold>0.02</bold></oasis:entry>
         <oasis:entry colname="col4"><bold>0.30</bold></oasis:entry>
         <oasis:entry colname="col5"><bold>0.0064</bold></oasis:entry>
         <oasis:entry colname="col6"><bold>0.40</bold></oasis:entry>
         <oasis:entry colname="col7"><bold>0.0077</bold></oasis:entry>
         <oasis:entry colname="col8"><bold>0.39</bold></oasis:entry>
         <oasis:entry colname="col9"><bold>0.0093</bold></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">10 km 3pd</oasis:entry>
         <oasis:entry colname="col2"><bold>0.22</bold></oasis:entry>
         <oasis:entry colname="col3"><bold>0.043</bold></oasis:entry>
         <oasis:entry colname="col4"><bold>0.37</bold></oasis:entry>
         <oasis:entry colname="col5"><bold>0.00067</bold></oasis:entry>
         <oasis:entry colname="col6">0.29</oasis:entry>
         <oasis:entry colname="col7">0.056</oasis:entry>
         <oasis:entry colname="col8"><bold>0.36</bold></oasis:entry>
         <oasis:entry colname="col9"><bold>0.019</bold></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">6 km 1pd</oasis:entry>
         <oasis:entry colname="col2">0.18</oasis:entry>
         <oasis:entry colname="col3">0.095</oasis:entry>
         <oasis:entry colname="col4"><bold>0.22</bold></oasis:entry>
         <oasis:entry colname="col5"><bold>0.049</bold></oasis:entry>
         <oasis:entry colname="col6">0.28</oasis:entry>
         <oasis:entry colname="col7">0.065</oasis:entry>
         <oasis:entry colname="col8">0.29</oasis:entry>
         <oasis:entry colname="col9">0.057</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">6 km 2pd</oasis:entry>
         <oasis:entry colname="col2">0.12</oasis:entry>
         <oasis:entry colname="col3">0.27</oasis:entry>
         <oasis:entry colname="col4">0.18</oasis:entry>
         <oasis:entry colname="col5">0.097</oasis:entry>
         <oasis:entry colname="col6">0.25</oasis:entry>
         <oasis:entry colname="col7">0.11</oasis:entry>
         <oasis:entry colname="col8"><bold>0.30</bold></oasis:entry>
         <oasis:entry colname="col9"><bold>0.048</bold></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">6 km 3pd</oasis:entry>
         <oasis:entry colname="col2">0.11</oasis:entry>
         <oasis:entry colname="col3">0.31</oasis:entry>
         <oasis:entry colname="col4">0.21</oasis:entry>
         <oasis:entry colname="col5">0.056</oasis:entry>
         <oasis:entry colname="col6">0.079</oasis:entry>
         <oasis:entry colname="col7">0.62</oasis:entry>
         <oasis:entry colname="col8">0.17</oasis:entry>
         <oasis:entry colname="col9">0.27</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DEF 1pd</oasis:entry>
         <oasis:entry colname="col2">0.12</oasis:entry>
         <oasis:entry colname="col3">0.27</oasis:entry>
         <oasis:entry colname="col4">0.12</oasis:entry>
         <oasis:entry colname="col5">0.28</oasis:entry>
         <oasis:entry colname="col6">0.28</oasis:entry>
         <oasis:entry colname="col7">0.07</oasis:entry>
         <oasis:entry colname="col8"><bold>0.32</bold></oasis:entry>
         <oasis:entry colname="col9"><bold>0.039</bold></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DEF 2pd</oasis:entry>
         <oasis:entry colname="col2">0.15</oasis:entry>
         <oasis:entry colname="col3">0.17</oasis:entry>
         <oasis:entry colname="col4">0.14</oasis:entry>
         <oasis:entry colname="col5">0.20</oasis:entry>
         <oasis:entry colname="col6">0.27</oasis:entry>
         <oasis:entry colname="col7">0.076</oasis:entry>
         <oasis:entry colname="col8"><bold>0.35</bold></oasis:entry>
         <oasis:entry colname="col9"><bold>0.022</bold></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DEF 3pd</oasis:entry>
         <oasis:entry colname="col2">0.15</oasis:entry>
         <oasis:entry colname="col3">0.16</oasis:entry>
         <oasis:entry colname="col4">0.19</oasis:entry>
         <oasis:entry colname="col5">0.088</oasis:entry>
         <oasis:entry colname="col6">0.19</oasis:entry>
         <oasis:entry colname="col7">0.22</oasis:entry>
         <oasis:entry colname="col8"><bold>0.31</bold></oasis:entry>
         <oasis:entry colname="col9"><bold>0.042</bold></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d2e3320">Linear regression lines were computed for all criteria sets for both the 1940–2022 and 1980–2022 time ranges (Fig. <xref ref-type="fig" rid="F7"/>). The key finding is that the trends are positive across all criteria sets (and “pd's”), for both 1940–2022 and 1980–2022. Even though the trend slopes were significantly different from zero for only the 10 km criteria set (see <inline-formula><mml:math id="M164" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-values in Table <xref ref-type="table" rid="T3"/>), the fact that all slopes are positive gives an indication that the atmospheric conditions favoring derecho formation have become more frequent during recent decades. Furthermore, steeper slopes are observed for the 1980–2022 time range, during which the climate has clearly become warmer <xref ref-type="bibr" rid="bib1.bibx31" id="paren.87"/>. We can observe the trend also visually from 7-year moving averages, as the averages are clearly higher during the last 25 years (1998–2022) than during the preceding 25 years (1973–1997). All the observations in this paragraph are also true for the 1pd (Fig. S18) and 3pd (Fig. S19) cases.</p>
      <p id="d2e3337">The computed Pearson and Spearman correlations in Table <xref ref-type="table" rid="T3"/> confirm the findings from Fig. <xref ref-type="fig" rid="F7"/>. The correlations are not strong, moderate at most, with statistically significant correlations ranging from 0.22 to 0.4. The fact that the correlations are not strong and not always statistically significant is probably partly due to the high interannual variability in <inline-formula><mml:math id="M165" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>. This statement is supported by the fact the Spearman correlations are in general higher than the Pearson correlations, as the rank-based Spearman correlation is less sensitive to the spikes in the data than the linear Pearson correlation.</p>
      <p id="d2e3352">While the correlations obtained applying the 10 km criteria set are mostly statistically significant, the correlations obtained with the 6 km or DEF criteria sets are commonly not. However, all Spearman correlations calculated for the shorter time range with the 2pd condition are statistically significant, ranging from 0.3–0.39. The correlations also confirm that the trends within the 1980–2022 time range are in most cases stronger than within the 1940–2022 time range.</p>
      <p id="d2e3356">As <inline-formula><mml:math id="M166" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> is highly variable, the correlations and their statistical significance might depend on the start year of the trend analysis. Since the choice of 1980 as a start year is somewhat arbitrary, we also computed the mean Spearman correlation and <inline-formula><mml:math id="M167" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-value for trend analysis from different start years within 1975–1985 (mean of 11 time ranges in total). The averages of these statistics are very similar to those obtained with 1980 as the start year. For example, an average Spearman correlation of 0.35 (same as for 1980) and <inline-formula><mml:math id="M168" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-value of 0.04 were calculated for the DEF 2pd case.</p>
      <p id="d2e3380">When analyzing the trends in environments favoring derecho formation, it is necessary to keep in mind the performance of each criteria set. Although the 10 km criteria set produces the strongest trends, it was the worst performing criteria set, as noted in Sect. <xref ref-type="sec" rid="Ch1.S4.SS3"/>, which decreases the validity of the trends. On the other hand, the 6 km criteria set was satisfied in all cases other than storm Verneri when applying the 2pd condition, and it matched better with the trajectories than the 10 km criteria set, but it produces only one statistically significant correlation. The DEF criteria set satisfied all 10 events even when using the 3pd condition and matched relatively well with the trajectories of all cases. Importantly, all the Spearman correlations are statistically significant for the shorter (1980–2022) time range when applying the DEF criteria set. This observation allows us to state with a relatively strong confidence that the conditions favoring derecho formation have become more frequent during the era of global warming.</p>

      <fig id="F8" specific-use="star"><label>Figure 8</label><caption><p id="d2e3387">Similar to Fig. <xref ref-type="fig" rid="F7"/> but for the same criteria combinations within the DEF (2pd) criteria as in Fig. <xref ref-type="fig" rid="F6"/>. The corresponding linear regression lines for the 1980–2022 period are drawn with dash-dotted lines.</p></caption>
        <graphic xlink:href="https://wcd.copernicus.org/articles/7/1571/2026/wcd-7-1571-2026-f08.png"/>

      </fig>

      <p id="d2e3400">Similarly as done for the summer of 2010 in Sect. <xref ref-type="sec" rid="Ch1.S4.SS3"/>, impacts of the individual criteria conditions within the DEF criteria set to the trends are also assessed. Figure <xref ref-type="fig" rid="F8"/> shows that when the 850 hPa <inline-formula><mml:math id="M169" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> condition is left out from the DEF (2pd) criteria set (DEF-THE), it produces clearly higher <inline-formula><mml:math id="M170" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> than the full DEF criteria set. Thus, the 850 hPa <inline-formula><mml:math id="M171" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> condition dominates in the DEF criteria set, something which was not evident from the results for summer 2010 in Fig. <xref ref-type="fig" rid="F6"/>. Despite this dominance, all conditions still contribute to the DEF criteria set. For example, the combined shear condition is satisfied somewhere within the grid area during most of the summers (not shown), but still it has an impact to the DEF criteria set as a higher <inline-formula><mml:math id="M172" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> resulted from the criteria set excluding the combined shear condition (DEF-COM) than from the full DEF criteria set. The same conclusions can be drawn using either the 1pd (Fig. S20) or 3pd (Fig. S21) conditions.</p>
      <p id="d2e3446">The linear regression lines in Fig. <xref ref-type="fig" rid="F8"/> for the 1980–2022 time range reveal that the frequency of the combined shear and 850 hPa <inline-formula><mml:math id="M173" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> conditions (DEF-CA) co-occurring has increased the most, by nearly 200 %. Conversely, the occurrence of the full DEF criteria has increased less than its stripped versions.</p>

<table-wrap id="T4" specific-use="star"><label>Table 4</label><caption><p id="d2e3466">Similar to Table <xref ref-type="table" rid="T3"/> but for the same criteria combinations within the DEF criteria set as in Figs. <xref ref-type="fig" rid="F6"/> and <xref ref-type="fig" rid="F8"/>.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="9">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right" colsep="1"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry rowsep="1" namest="col2" nameend="col5" align="center" colsep="1">1940–2022 </oasis:entry>
         <oasis:entry rowsep="1" namest="col6" nameend="col9" align="center">1980–2022 </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Criteria</oasis:entry>
         <oasis:entry colname="col2">Pearson</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M174" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-value</oasis:entry>
         <oasis:entry colname="col4">Spearman</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M175" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-value</oasis:entry>
         <oasis:entry colname="col6">Pearson</oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M176" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-value</oasis:entry>
         <oasis:entry colname="col8">Spearman</oasis:entry>
         <oasis:entry colname="col9"><inline-formula><mml:math id="M177" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-value</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">DEF-THE 1pd</oasis:entry>
         <oasis:entry colname="col2"><bold>0.22</bold></oasis:entry>
         <oasis:entry colname="col3"><bold>0.05</bold></oasis:entry>
         <oasis:entry colname="col4"><bold>0.24</bold></oasis:entry>
         <oasis:entry colname="col5"><bold>0.028</bold></oasis:entry>
         <oasis:entry colname="col6"><bold>0.31</bold></oasis:entry>
         <oasis:entry colname="col7"><bold>0.046</bold></oasis:entry>
         <oasis:entry colname="col8">0.29</oasis:entry>
         <oasis:entry colname="col9">0.063</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DEF-THE 2pd</oasis:entry>
         <oasis:entry colname="col2"><bold>0.22</bold></oasis:entry>
         <oasis:entry colname="col3"><bold>0.042</bold></oasis:entry>
         <oasis:entry colname="col4"><bold>0.24</bold></oasis:entry>
         <oasis:entry colname="col5"><bold>0.032</bold></oasis:entry>
         <oasis:entry colname="col6"><bold>0.36</bold></oasis:entry>
         <oasis:entry colname="col7"><bold>0.018</bold></oasis:entry>
         <oasis:entry colname="col8"><bold>0.37</bold></oasis:entry>
         <oasis:entry colname="col9"><bold>0.014</bold></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DEF-THE 3pd</oasis:entry>
         <oasis:entry colname="col2"><bold>0.27</bold></oasis:entry>
         <oasis:entry colname="col3"><bold>0.013</bold></oasis:entry>
         <oasis:entry colname="col4"><bold>0.29</bold></oasis:entry>
         <oasis:entry colname="col5"><bold>0.009</bold></oasis:entry>
         <oasis:entry colname="col6"><bold>0.31</bold></oasis:entry>
         <oasis:entry colname="col7"><bold>0.045</bold></oasis:entry>
         <oasis:entry colname="col8"><bold>0.32</bold></oasis:entry>
         <oasis:entry colname="col9"><bold>0.036</bold></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DEF-CA 1pd</oasis:entry>
         <oasis:entry colname="col2">0.18</oasis:entry>
         <oasis:entry colname="col3">0.096</oasis:entry>
         <oasis:entry colname="col4">0.16</oasis:entry>
         <oasis:entry colname="col5">0.15</oasis:entry>
         <oasis:entry colname="col6"><bold>0.39</bold></oasis:entry>
         <oasis:entry colname="col7"><bold>0.0089</bold></oasis:entry>
         <oasis:entry colname="col8"><bold>0.42</bold></oasis:entry>
         <oasis:entry colname="col9"><bold>0.0051</bold></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DEF-CA 2pd</oasis:entry>
         <oasis:entry colname="col2">0.20</oasis:entry>
         <oasis:entry colname="col3">0.072</oasis:entry>
         <oasis:entry colname="col4">0.17</oasis:entry>
         <oasis:entry colname="col5">0.13</oasis:entry>
         <oasis:entry colname="col6"><bold>0.39</bold></oasis:entry>
         <oasis:entry colname="col7"><bold>0.011</bold></oasis:entry>
         <oasis:entry colname="col8"><bold>0.38</bold></oasis:entry>
         <oasis:entry colname="col9"><bold>0.012</bold></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DEF-CA 3pd</oasis:entry>
         <oasis:entry colname="col2">0.21</oasis:entry>
         <oasis:entry colname="col3">0.053</oasis:entry>
         <oasis:entry colname="col4">0.19</oasis:entry>
         <oasis:entry colname="col5">0.081</oasis:entry>
         <oasis:entry colname="col6"><bold>0.38</bold></oasis:entry>
         <oasis:entry colname="col7"><bold>0.012</bold></oasis:entry>
         <oasis:entry colname="col8"><bold>0.40</bold></oasis:entry>
         <oasis:entry colname="col9"><bold>0.0072</bold></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DEF-COM 1pd</oasis:entry>
         <oasis:entry colname="col2">0.14</oasis:entry>
         <oasis:entry colname="col3">0.19</oasis:entry>
         <oasis:entry colname="col4">0.12</oasis:entry>
         <oasis:entry colname="col5">0.30</oasis:entry>
         <oasis:entry colname="col6"><bold>0.36</bold></oasis:entry>
         <oasis:entry colname="col7"><bold>0.017</bold></oasis:entry>
         <oasis:entry colname="col8"><bold>0.38</bold></oasis:entry>
         <oasis:entry colname="col9"><bold>0.012</bold></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DEF-COM 2pd</oasis:entry>
         <oasis:entry colname="col2">0.13</oasis:entry>
         <oasis:entry colname="col3">0.25</oasis:entry>
         <oasis:entry colname="col4">0.10</oasis:entry>
         <oasis:entry colname="col5">0.36</oasis:entry>
         <oasis:entry colname="col6"><bold>0.35</bold></oasis:entry>
         <oasis:entry colname="col7"><bold>0.023</bold></oasis:entry>
         <oasis:entry colname="col8"><bold>0.41</bold></oasis:entry>
         <oasis:entry colname="col9"><bold>0.006</bold></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">DEF-COM 3pd</oasis:entry>
         <oasis:entry colname="col2">0.15</oasis:entry>
         <oasis:entry colname="col3">0.16</oasis:entry>
         <oasis:entry colname="col4">0.12</oasis:entry>
         <oasis:entry colname="col5">0.26</oasis:entry>
         <oasis:entry colname="col6"><bold>0.33</bold></oasis:entry>
         <oasis:entry colname="col7"><bold>0.028</bold></oasis:entry>
         <oasis:entry colname="col8"><bold>0.40</bold></oasis:entry>
         <oasis:entry colname="col9"><bold>0.0072</bold></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d2e3898">Based on the Pearson and Spearman correlations, the 1980-to-2022 frequency trends for all the DEF criteria combinations are statistically significant, except for the DEF-THE 1pd case, as shown by Table <xref ref-type="table" rid="T4"/>. The contrast between the two time ranges in Table <xref ref-type="table" rid="T4"/> is even larger than for the full DEF criteria set in Table <xref ref-type="table" rid="T3"/>. The most striking difference is observed when the combined shear condition is excluded from the DEF criteria set (DEF-COM). While the shorter 1980-to-2022 time range presents moderate (0.33–0.41) statistically significant correlations, the longer 1940-to-2022 time range shows very weak correlations that are not statistically significant. Therefore, environments where higher values of both CAPE and 850 hPa <inline-formula><mml:math id="M178" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> coexist have clearly become more common during recent decades.</p>
</sec>
<sec id="Ch1.S6">
  <label>6</label><title>Effects of warming and large-scale teleconnections</title>
      <p id="d2e3926">We now proceed to explore some of the large-scale climate factors that might affect the interannual variability and trends in the frequency of derecho-favoring environments. The most obvious candidates include variations in the atmospheric circulation (as quantified by teleconnection indices) and the gradual warming of climate. The frequency of derecho-favoring environments (<inline-formula><mml:math id="M179" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>) is here characterized by the DEF 2pd criteria set. However, the interpretation of the results does not change when using either DEF 1pd or DEF 3pd.</p>
      <p id="d2e3936">Table <xref ref-type="table" rid="T5"/> lists the Pearson correlations between <inline-formula><mml:math id="M180" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>, time (year number), the summer (JJA) mean 2 m temperature in ERA5 in the area shown in Fig. <xref ref-type="fig" rid="F1"/> (<inline-formula><mml:math id="M181" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>) and two summer mean teleconnection indices: the Eastern Atlantic pattern (EA) and the Eastern Atlantic/Western Russia pattern (EAWR). We also computed correlations using North Atlantic Oscillation (NAO), Scandinavian (SCAND) and Atlantic Multi-decadal Oscillation (AMO) indices (not shown), but the correlations were not as strong as with EA and EAWR, and not necessarily statistically significant. Thus, we will focus on <inline-formula><mml:math id="M182" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, EAWR and EA.</p>

<table-wrap id="T5"><label>Table 5</label><caption><p id="d2e3967">Pearson (<inline-formula><mml:math id="M183" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>) and detrended Pearson (<inline-formula><mml:math id="M184" display="inline"><mml:mrow><mml:msub><mml:mi>r</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) correlations (with <inline-formula><mml:math id="M185" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-values) among the annual number of favorable days (<inline-formula><mml:math id="M186" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>) obtained with the DEF 2pd criteria set, time (year numbers from 1950 to 2022), study area summer mean 2 m temperature (<inline-formula><mml:math id="M187" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>), Eastern Atlantic (EA) index, and Eastern Atlantic/Western Russia (EAWR) index during 1950–2022.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Parameter</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M188" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M189" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-value</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M190" display="inline"><mml:mrow><mml:msub><mml:mi>r</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M191" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-value</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M192" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> vs. time</oasis:entry>
         <oasis:entry colname="col2">0.20</oasis:entry>
         <oasis:entry colname="col3">0.089</oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M193" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> vs. <inline-formula><mml:math id="M194" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">0.54</oasis:entry>
         <oasis:entry colname="col3">9.2 <inline-formula><mml:math id="M195" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<sup>−7</sup></oasis:entry>
         <oasis:entry colname="col4">0.51</oasis:entry>
         <oasis:entry colname="col5">4.1 <inline-formula><mml:math id="M197" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<sup>−6</sup></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M199" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> vs. EA</oasis:entry>
         <oasis:entry colname="col2">0.41</oasis:entry>
         <oasis:entry colname="col3">3.7 <inline-formula><mml:math id="M200" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<sup>−4</sup></oasis:entry>
         <oasis:entry colname="col4">0.37</oasis:entry>
         <oasis:entry colname="col5">1.5 <inline-formula><mml:math id="M202" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<sup>−3</sup></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M204" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> vs. EAWR</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M205" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.51</oasis:entry>
         <oasis:entry colname="col3">4.3 <inline-formula><mml:math id="M206" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<sup>−6</sup></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M208" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.48</oasis:entry>
         <oasis:entry colname="col5">1.6 <inline-formula><mml:math id="M209" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<sup>−5</sup></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M211" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> vs. time</oasis:entry>
         <oasis:entry colname="col2">0.39</oasis:entry>
         <oasis:entry colname="col3">6.4 <inline-formula><mml:math id="M212" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<sup>−4</sup></oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">EA vs. time</oasis:entry>
         <oasis:entry colname="col2">0.62</oasis:entry>
         <oasis:entry colname="col3">5.0 <inline-formula><mml:math id="M214" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<sup>−9</sup></oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">EAWR vs. time</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M216" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.50</oasis:entry>
         <oasis:entry colname="col3">5.8 <inline-formula><mml:math id="M217" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<sup>−6</sup></oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M219" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> vs. EA</oasis:entry>
         <oasis:entry colname="col2">0.43</oasis:entry>
         <oasis:entry colname="col3">1.7 <inline-formula><mml:math id="M220" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<sup>−4</sup></oasis:entry>
         <oasis:entry colname="col4">0.25</oasis:entry>
         <oasis:entry colname="col5">2.9 <inline-formula><mml:math id="M222" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<sup>−3</sup></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M224" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> vs. EAWR</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M225" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.36</oasis:entry>
         <oasis:entry colname="col3">1.6 <inline-formula><mml:math id="M226" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<sup>−3</sup></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M228" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.21</oasis:entry>
         <oasis:entry colname="col5">0.075</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">EA vs. EAWR</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M229" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.54</oasis:entry>
         <oasis:entry colname="col3">6.2 <inline-formula><mml:math id="M230" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<sup>−7</sup></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M232" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.34</oasis:entry>
         <oasis:entry colname="col5">2.9 <inline-formula><mml:math id="M233" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<sup>−3</sup></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d2e4599">From Table <xref ref-type="table" rid="T5"/>, we can observe that <inline-formula><mml:math id="M235" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M236" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.54</mml:mn></mml:mrow></mml:math></inline-formula>), EA (<inline-formula><mml:math id="M237" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.41</mml:mn></mml:mrow></mml:math></inline-formula>) and EAWR (<inline-formula><mml:math id="M238" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.51</mml:mn></mml:mrow></mml:math></inline-formula>) are moderately correlated with <inline-formula><mml:math id="M239" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>. Furthermore, <inline-formula><mml:math id="M240" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, EA and EAWR are moderately correlated with one another. Since <inline-formula><mml:math id="M241" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, EA and EAWR each demonstrate a long-term trend within 1950–2022, detrended correlations were also computed by removing the linear trend prior to computing the Pearson correlation. While detrending the time series does not largely impact the correlations computed between <inline-formula><mml:math id="M242" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M243" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, EA, and EAWR, the correlations among <inline-formula><mml:math id="M244" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, EA and EAWR are reduced after detrending. This observation suggests that <inline-formula><mml:math id="M245" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, EA and EAWR are correlated with one another partly due to their shared long-term trends, whereas the relationship between <inline-formula><mml:math id="M246" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M247" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, EA and EAWR holds after detrending. Thus, the relation between <inline-formula><mml:math id="M248" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> and these three variables is not explained by their shared temporal trends.</p>
      <p id="d2e4721">Based on the aforementioned observations, an ordinary least squares (OLS) regression model was fitted to annual time series of <inline-formula><mml:math id="M249" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> (DEF 2pd) using <inline-formula><mml:math id="M250" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, EA and EAWR as predictors. However, the model indicated that the contribution of EA to <inline-formula><mml:math id="M251" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> was negligible (not shown), and thus EA was removed from the fit. This result is not unexpected given that, of the three predictors, EA exhibits the weakest correlation with <inline-formula><mml:math id="M252" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> and is more strongly correlated with both <inline-formula><mml:math id="M253" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> and EAWR than <inline-formula><mml:math id="M254" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> and EAWR are with each other (Table <xref ref-type="table" rid="T5"/>). Additionally, a negative EAWR index in the summer implies a weak negative geopotential anomaly over Denmark and a stronger positive geopotential height anomaly over northwestern Russia. This pattern resembles what we observed in Sect. <xref ref-type="sec" rid="Ch1.S3.SS1"/> for the synoptic-scale pattern in Finland during derechos.</p>
      <p id="d2e4771">The final OLS model is given in Eq. (<xref ref-type="disp-formula" rid="Ch1.E2"/>).

          <disp-formula id="Ch1.E2" content-type="numbered"><label>2</label><mml:math id="M255" display="block"><mml:mtable class="split" rowspacing="0.2ex" displaystyle="true" columnalign="right left"><mml:mtr><mml:mtd><mml:mrow><mml:mi>N</mml:mi></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mo>=</mml:mo><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mo>⋅</mml:mo><mml:mi>T</mml:mi><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>⋅</mml:mo><mml:mi mathvariant="normal">EAWR</mml:mi><mml:mo>+</mml:mo><mml:mi>C</mml:mi></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.87</mml:mn><mml:mo>⋅</mml:mo><mml:mi>T</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2.01</mml:mn><mml:mo>⋅</mml:mo><mml:mi mathvariant="normal">EAWR</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">22.7</mml:mn></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>

        The model suggest that a 1 °C increase in the summer mean temperature within the chosen study area or a decrease of 1.0 in the EAWR index would increase <inline-formula><mml:math id="M256" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> by approximately 2 d per summer. Nonetheless, the model only explains 40 % of the interannual variance of <inline-formula><mml:math id="M257" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> and is thus far from perfect. We also fitted the model using detrended time series, with largely the same results (not shown).</p>

      <fig id="F9" specific-use="star"><label>Figure 9</label><caption><p id="d2e4855">Anomalies of the annual number of favorable derecho days (<inline-formula><mml:math id="M258" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>) during 1950–2022. Panel <bold>(a)</bold> shows the <inline-formula><mml:math id="M259" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> anomalies obtained using the DEF 2pd criteria set (gold solid line), the anomalies predicted by the linear regression model given in Eq. (<xref ref-type="disp-formula" rid="Ch1.E2"/>) (dark gray solid line), the contribution from the first term on the right-hand side of Eq. (<xref ref-type="disp-formula" rid="Ch1.E2"/>) (light purple dashed line), and the contribution from the second term (slate blue dashed line). Panel <bold>(b)</bold> shows the corresponding 7-year moving averages (7-yr MA) of the anomalies presented in panel <bold>(a)</bold>. In both panels, the dotted black horizontal line marks zero anomaly.</p></caption>
        <graphic xlink:href="https://wcd.copernicus.org/articles/7/1571/2026/wcd-7-1571-2026-f09.png"/>

      </fig>

      <p id="d2e4892">Figure <xref ref-type="fig" rid="F9"/>a shows the anomaly of the observed <inline-formula><mml:math id="M260" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> and the corresponding anomaly predicted by the linear model. The individual contributions from <inline-formula><mml:math id="M261" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> and EAWR are shown separately. The anomalies have been computed by subtracting the mean values for 1950–2022 from all the variables. Although the model greatly underestimates the interannual variability of <inline-formula><mml:math id="M262" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> and largely misses the strong observed peaks in 1954, 1972, 1988 and 2010, the model prediction still qualitatively reproduces many features of the observed time series.</p>
      <p id="d2e4919">Figure <xref ref-type="fig" rid="F9"/>b shows the 7-year moving averages of the anomalies presented in Fig. <xref ref-type="fig" rid="F9"/>a. The lowest mean <inline-formula><mml:math id="M263" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> observations align relatively well with the model in the mid-to-late 1960s and late 1970s. During these two periods, the summer mean temperature has been anomalously low in the study area area, and the EAWR index has been anomalously positive. In fact, the contribution of the EAWR index was, on average, negative prior to 1997, when the EAWR index was generally positive. However, the contribution has since turned positive, with the EAWR index being predominantly negative after 1997. Positive temperature anomalies have also acted to increase <inline-formula><mml:math id="M264" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> since 1995. Thus, the regression model suggests that both the negative trend in EAWR and the increasing trend in temperature have caused <inline-formula><mml:math id="M265" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> to increase after the 1990s, making derecho formation in Finland more likely.</p>
      <p id="d2e4947">Note that <inline-formula><mml:math id="M266" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> and EAWR are relatively weakly correlated with each other, particularly when their time series are detrended (Table <xref ref-type="table" rid="T5"/>). This suggests that their contributions to the <inline-formula><mml:math id="M267" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> trends are quasi-independent. While it should be reasonably safe to attribute most of the increase in <inline-formula><mml:math id="M268" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> to the thermodynamic effects of the ongoing global warming, the apparent decreasing trend in the EAWR index is more difficult to interpret. It is not obvious whether it results from anthropogenic climate change, long-term natural variability or a combination of these two.</p>
</sec>
<sec id="Ch1.S7">
  <label>7</label><title>Discussion</title>
      <p id="d2e4981">To assess the trustworthiness and usefulness of the results, a few potential sources of error are discussed here. Even though the ERA5 reanalysis is generally regarded as the most accurate global reanalysis currently available, it still has its limitations in representing the atmosphere correctly. For example, ERA5 has been observed to underestimate CAPE, especially when considering extreme values <xref ref-type="bibr" rid="bib1.bibx62" id="paren.88"/>. However, since our criteria sets used a relatively low CAPE threshold value (250 J kg<sup>−1</sup>), the potential errors in the larger values of CAPE, and ERA5 overall, are unlikely to have a large impact on the results.</p>
      <p id="d2e4999">While one of the main goals of this study was to determine the atmospheric environments favoring derecho formation, the three criteria sets we created to capture them have their limitations as well. The 10 and 6 km criteria sets were not satisfied throughout the lifetime of the systems and not necessarily on the paths of the derechos. As for the DEF criteria set, derechos in Finland occurred in varying atmospheric conditions. Therefore, to include all derechos in our criteria sets, the threshold values had to be set relatively low. Hence, our criteria sets also captured many days in which derechos were not observed.</p>
      <p id="d2e5002">To reduce the number of favorable days which did not produce derechos, we tried a stricter criteria set that was only satisfied in a couple of more evident derechos (events which satisfied the criteria sets easily: Asta, Veera and Sylvi). As expected, <inline-formula><mml:math id="M270" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> was clearly reduced, but the reduction led to insufficient sample size of <inline-formula><mml:math id="M271" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> to perform the trend analysis. Furthermore, all of our events produced severe damage, and a few of the other cases produced even more damage than those in the more evident derechos category. Therefore, this stricter criteria set was abandoned and not discussed in detail here.</p>
      <p id="d2e5019">The biggest problem we faced in this study was the small number of derechos in Finland. The lack of observed derechos means we cannot expect that these criteria sets will capture all future derechos occurring Finland. Thus, some derechos will likely form in atmospheric environments that do not satisfy the criteria sets we have presented here. Furthermore, while the trend analysis assumes that the criteria sets capturing derecho favoring environments are time-invariant, these environments may have changed during 1940–2022 or may change in the future.</p>
      <p id="d2e5023">Despite the aforementioned uncertainties, the results still hold scientific merit. Although the trends in the frequency of derecho-favoring environments were not strong nor always statistically significant, they were positive for all our methodological choices and both the 1940–2022 and 1980–2022 periods which is a strong sign of a positive trend. Moreover, small modifications were applied to the criteria sets (not shown) to test the sensitivity of the trends. For example, we slightly lowered and increased the threshold values within each criteria set. Again, all of the slightly modified criteria sets produced only positive trends. The fact that all of the correlations and slopes were positive, and they were not very sensitive to small modifications to the criteria sets suggest that the environments favoring derecho formation in Finland have become more frequent during recent decades. These results are also in line with the results of <xref ref-type="bibr" rid="bib1.bibx30" id="text.89"/> who discovered that the convective storms and their associated financial losses have clearly increased during recent decades in Europe.</p>
      <p id="d2e5029">The presence of high 850 hPa <inline-formula><mml:math id="M272" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> during derechos in Finland seems to be crucial based on Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>. Since the frequency of days that fulfill the 850 hPa <inline-formula><mml:math id="M273" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> criterion shows a highly significant positive trend from 1980 to 2022 (e.g., Pearson correlation of 0.49 with the <inline-formula><mml:math id="M274" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-value of 0.0008 using the 2pd condition, not shown), the recurrence of particularly high 850 hPa <inline-formula><mml:math id="M275" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> appears likely in Finland as the climate warms up. This finding is supported by the moderate linear trend (0.7 K (10 yr)<sup>−1</sup>) in the yearly summer mean 850 hPa <inline-formula><mml:math id="M277" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> over the grid area within 1980–2022 (Pearson correlation of 0.43 with the <inline-formula><mml:math id="M278" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-value 0.004).</p>
      <p id="d2e5105">While it is relatively straightforward to relate the increase in the frequency of favorable days during 1980–2022 to global warming via the increasing trend in 850 hPa <inline-formula><mml:math id="M279" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, it requires more interpretation to link the increase in favorable days to the decrease in summer mean EAWR index. The EAWR index, or Eurasian pattern type 2 as defined by <xref ref-type="bibr" rid="bib1.bibx5" id="text.90"/>, corresponds to a wave train pattern with three centers. The western center is located near Denmark, the middle center north of the Caspian sea, and the eastern center in northeast China. As mentioned in Sect. <xref ref-type="sec" rid="Ch1.S6"/>, the negative phase of the EAWR index agrees with what was observed for the synoptic-scale pattern in Sect. <xref ref-type="sec" rid="Ch1.S3.SS1"/>. This observation is consistent with the relation between negative summer mean EAWR values and a higher frequency of derecho-favoring environments. While the EAWR index trend has been negative for the recent decades (as noted in Sect. <xref ref-type="sec" rid="Ch1.S6"/>), likely associated with increasing (500 hPa) geopotential heights over western Russia (not shown), its future evolution remains uncertain since future changes in the large-scale circulation over Europe are not consistently projected across studies.</p>
      <p id="d2e5128">Derecho-favoring environments may also become more common across Europe in general. For example, <xref ref-type="bibr" rid="bib1.bibx50" id="text.91"/> found that convective storms in Europe are projected to increase in frequency based on an ensemble of 14 regional climate simulations. This predicted increase in activity comes mainly from the increasing convective instability caused by increasing near-surface absolute humidity, which in turn comes from increasing evaporation over warming water surfaces <xref ref-type="bibr" rid="bib1.bibx47" id="paren.92"/>. Conversely, the polar jet stream is predicted to weaken due to the Arctic amplification <xref ref-type="bibr" rid="bib1.bibx12" id="paren.93"/>. This weakening would result in a decrease in the deep-layer shear which, on the other hand, could reduce the occurrence of favorable derecho environments. Yet, it has also been found that this weakening of the jet will make the jet stream to become more wavy, and therefore the number of persistent weather patterns is expected to increase <xref ref-type="bibr" rid="bib1.bibx50" id="paren.94"/>. As discovered in Sect. <xref ref-type="sec" rid="Ch1.S3.SS1"/>, derechos tend to form in Finland when a persistent wavy jet pattern advects warm and moist air from southern Europe, resulting in very high <inline-formula><mml:math id="M280" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> values. If future changes in the jet stream favor more persistent wave-train patterns over Europe, circulation patterns resembling the negative phase of the EAWR may become more frequent. Such changes could potentially increase the occurrence of environments favorable for derechos in Finland. However, a large uncertainty exists across studies regarding the future changes in the jet stream due to climate change, and it is therefore not possible to robustly determine how this may affect the future occurrence of favorable conditions.</p>
      <p id="d2e5157">In a study of a single derecho in midwestern United States, it was found that if the same event were to occur at the end of this century, its intensity in terms of maximum wind gusts might not be stronger than today, but the associated damage area could increase up to 50 %–100 %, primarily due to the increasing latent instability <xref ref-type="bibr" rid="bib1.bibx35" id="paren.95"/>. Nevertheless, results from similar studies have been conflicting as, for example, <xref ref-type="bibr" rid="bib1.bibx36" id="text.96"/> reported that a derecho in North America was weaker in a future environment, whereas <xref ref-type="bibr" rid="bib1.bibx23" id="text.97"/> found that anthropogenic warming increased the intensity of a Mediterranean derecho. On the other hand, the results of <xref ref-type="bibr" rid="bib1.bibx34" id="text.98"/> indicate that derechos may not only become more widespread in the future but also more frequent and intense based on a large-scale simulation of convective activity under two different climate scenarios. Yet, the frequency and intensity of derechos in the future remain uncertain, and hence more studies would be needed before a convincing link between worsening derechos and climate change could be established. Therefore, it would be vital to perform a follow-up study which focuses on determining how the frequency of derecho-favoring environments changes before the end of this century using climate model simulations. Furthermore, the framework of our criteria sets, particularly the Derecho-favoring environments in Finland (DEF) criteria set, can be applied to any other regions in Europe. With local adaptations to the threshold values based on regional derecho climatology, our approach could be used to study the changes of the frequency of derecho-favoring environments in Europe both in the past and future. Finally, a new derecho index could be developed that would combine the information from different dynamic and thermodynamic parameters without setting fixed thresholds for the individual parameters.</p>
</sec>
<sec id="Ch1.S8" sec-type="conclusions">
  <label>8</label><title>Conclusions</title>
      <p id="d2e5180">In this study, the formation environments of 10 derecho-type events in Finland were examined using ERA5 reanalysis. It was identified that derechos in Finland developed and moved under a strong midtroposperic jet, with the derecho located on the right-hand side of an upper-level jet streak, commonly near the right jet entrance region. In these environments, deep-layer vertical wind shear was moderate, and the lower troposphere was particularly warm and moist due to a southerly flow pattern.</p>
      <p id="d2e5183">Three sets of criteria were developed to capture the mesoscale environments favoring derecho formation in Finland. While the 6 and 10 km criteria sets were mostly based on findings of kinematic parameters from US derechos, the Derecho-favoring environments in Finland (DEF) criteria set was tailored based on the local environments in which the 10 derecho events occurred in Finland. The 10 and 6 km criteria sets composed respectively of 0–10 and 0–6 km vertical wind shear proxies, and they both also included 6–10 km layer mean wind speed and convective available potential energy (CAPE). The DEF criteria set was built on 850 hPa equivalent potential temperature (<inline-formula><mml:math id="M281" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>), with <inline-formula><mml:math id="M282" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> exceeding a very high value of 325 K along the trajectory of each derecho event. In addition to the <inline-formula><mml:math id="M283" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> criterion, the DEF criteria used the same CAPE condition as the two aforementioned criteria sets and a combination of 0–6 and 0–10 km shear proxies. Applying the <inline-formula><mml:math id="M284" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> criterion decreased the number of favorable days to be closer to the observations of derecho occurrence in Finland.</p>
      <p id="d2e5230">For each of the parameters in the criteria sets, a threshold value was set. While the threshold values for the 6–10 km layer mean wind speed, 0–6 and 0–10 km shear in the 6 and 10 km criteria sets were derived from the literature, the CAPE condition was defined based on the minimum value encountered along the trajectories of derechos in Finland. For the DEF criteria set, the threshold values derived from literature were adjusted to match better with the conditions present during derechos in Finland. All individual criteria conditions within each criteria set were required to be met at the same grid point and over a sufficiently large area to classify the day as favorable for derecho formation. The area threshold for each criteria set was set as high as possible such that the 10 and 6 km criteria were still satisfied at least once among the three analyzed UTC times and the DEF criteria set at all three times on derecho days. Furthermore, since derechos are relatively long-lasting events, the persistence of the favorable conditions was assessed by examining whether the conditions were satisfied on more than one time step per day.</p>
      <p id="d2e5233">The 6 km criteria set matched clearly better with the derecho trajectories than the 10 km criteria set, but the DEF criteria set clearly outperformed the other two, satisfying all 10 events quite well along, or at least near, each event's trajectory. This result was unsurprising as the DEF criteria set was tailored to Finnish derechos. Even though the criteria sets were made to represent the atmospheric conditions during derechos in Finland, particularly the DEF criteria set can also be adapted for derecho research elsewhere by modifying the threshold values to better match the local environments in which derechos tend to develop.</p>
      <p id="d2e5238">In addition to the development of the criteria sets, they were used to analyze recent trends in the frequency of occurrence of derecho favoring conditions in Finland. It was found that derecho-favoring environments have become more common within the 1980–2022 period, with this increase being associated with both global warming and a negative summer mean Eastern Atlantic/Western Russia teleconnection index, although the trends were not particularly strong compared with the large interannual variability. Nevertheless, despite the caveats noted in Sect. <xref ref-type="sec" rid="Ch1.S7"/>, increasing trend in the number of favorable days with greater 850 hPa <inline-formula><mml:math id="M285" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, amid favorable shear in warm-season troughing patterns, raises the question of whether such conditions may make derechos more frequent in Finland, and potentially elsewhere in northern Europe, in a warming climate. However, further research is needed to confirm this hypothesis.</p>
</sec>

      
      </body>
    <back><app-group>

<app id="App1.Ch1.S1">
  <label>Appendix A</label><title/>

<table-wrap id="TA1"><label>Table A1</label><caption><p id="d2e5268">Presence of synoptic-scale features discussed in Sect. <xref ref-type="sec" rid="Ch1.S3.SS1"/> for all studied derecho events throughout their lifetime. An “X” marks that the feature is present, “(X)” denotes cases where its presence is uncertain or arguable, and blanks indicate that the feature is absent. The assessments can be partly inferred from the figures, with storms Unto, Saima and Lahja shown in Fig. S1, Sylvi and Ahti in Fig. S2, Aatu and Verneri in Fig. S3, and Asta, Veera and Paula in Fig. <xref ref-type="fig" rid="F2"/>. Note that some of these classifications may have been affected by subjective interpretation.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="11">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="center"/>
     <oasis:colspec colnum="3" colname="col3" align="center"/>
     <oasis:colspec colnum="4" colname="col4" align="center"/>
     <oasis:colspec colnum="5" colname="col5" align="center"/>
     <oasis:colspec colnum="6" colname="col6" align="center"/>
     <oasis:colspec colnum="7" colname="col7" align="center"/>
     <oasis:colspec colnum="8" colname="col8" align="center"/>
     <oasis:colspec colnum="9" colname="col9" align="center"/>
     <oasis:colspec colnum="10" colname="col10" align="center"/>
     <oasis:colspec colnum="11" colname="col11" align="center"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">Unto</oasis:entry>
         <oasis:entry colname="col3">Saima</oasis:entry>
         <oasis:entry colname="col4">Asta</oasis:entry>
         <oasis:entry colname="col5">Veera</oasis:entry>
         <oasis:entry colname="col6">Lahja</oasis:entry>
         <oasis:entry colname="col7">Sylvi</oasis:entry>
         <oasis:entry colname="col8">Ahti</oasis:entry>
         <oasis:entry colname="col9">Paula</oasis:entry>
         <oasis:entry colname="col10">Aatu</oasis:entry>
         <oasis:entry colname="col11">Verneri</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Cut-off low over Europe</oasis:entry>
         <oasis:entry colname="col2">(X)</oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">(X)</oasis:entry>
         <oasis:entry colname="col5">(X)</oasis:entry>
         <oasis:entry colname="col6">X</oasis:entry>
         <oasis:entry colname="col7">X</oasis:entry>
         <oasis:entry colname="col8">X</oasis:entry>
         <oasis:entry colname="col9">X</oasis:entry>
         <oasis:entry colname="col10">X</oasis:entry>
         <oasis:entry colname="col11">X</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Derecho in a right (250 hPa) jet entrance</oasis:entry>
         <oasis:entry colname="col2">(X)</oasis:entry>
         <oasis:entry colname="col3">(X)</oasis:entry>
         <oasis:entry colname="col4">(X)</oasis:entry>
         <oasis:entry colname="col5">X</oasis:entry>
         <oasis:entry colname="col6">(X)</oasis:entry>
         <oasis:entry colname="col7">(X)</oasis:entry>
         <oasis:entry colname="col8">X</oasis:entry>
         <oasis:entry colname="col9">X</oasis:entry>
         <oasis:entry colname="col10">X</oasis:entry>
         <oasis:entry colname="col11">(X)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">500 hPa WS <inline-formula><mml:math id="M286" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 20 m s<sup>−1</sup></oasis:entry>
         <oasis:entry colname="col2">X</oasis:entry>
         <oasis:entry colname="col3">X</oasis:entry>
         <oasis:entry colname="col4">X</oasis:entry>
         <oasis:entry colname="col5">X</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7"/>
         <oasis:entry colname="col8">X</oasis:entry>
         <oasis:entry colname="col9">X</oasis:entry>
         <oasis:entry colname="col10"/>
         <oasis:entry colname="col11"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">500 hPa jet maximum behind the system</oasis:entry>
         <oasis:entry colname="col2">X</oasis:entry>
         <oasis:entry colname="col3">X</oasis:entry>
         <oasis:entry colname="col4">(X)</oasis:entry>
         <oasis:entry colname="col5">X</oasis:entry>
         <oasis:entry colname="col6">X</oasis:entry>
         <oasis:entry colname="col7">X</oasis:entry>
         <oasis:entry colname="col8">X</oasis:entry>
         <oasis:entry colname="col9"/>
         <oasis:entry colname="col10">(X)</oasis:entry>
         <oasis:entry colname="col11">(X)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">High over Russia</oasis:entry>
         <oasis:entry colname="col2">X</oasis:entry>
         <oasis:entry colname="col3">X</oasis:entry>
         <oasis:entry colname="col4">X</oasis:entry>
         <oasis:entry colname="col5">X</oasis:entry>
         <oasis:entry colname="col6">X</oasis:entry>
         <oasis:entry colname="col7">X</oasis:entry>
         <oasis:entry colname="col8">X</oasis:entry>
         <oasis:entry colname="col9">X</oasis:entry>
         <oasis:entry colname="col10">X</oasis:entry>
         <oasis:entry colname="col11">X</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Surface low center over the Nordics</oasis:entry>
         <oasis:entry colname="col2">X</oasis:entry>
         <oasis:entry colname="col3">X</oasis:entry>
         <oasis:entry colname="col4">X</oasis:entry>
         <oasis:entry colname="col5">X</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">X</oasis:entry>
         <oasis:entry colname="col8">X</oasis:entry>
         <oasis:entry colname="col9">X</oasis:entry>
         <oasis:entry colname="col10">X</oasis:entry>
         <oasis:entry colname="col11">X</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>


</app>
  </app-group><notes notes-type="codedataavailability"><title>Code and data availability</title>

      <p id="d2e5586">ERA5 reanalysis data is available for download from the Copernicus Climate Change Service (<ext-link xlink:href="https://doi.org/10.24381/cds.143582cf" ext-link-type="DOI">10.24381/cds.143582cf</ext-link>, <xref ref-type="bibr" rid="bib1.bibx27" id="altparen.99"/>). Example Python code used in this study to process ERA5 data can be accessed in a Zenodo repository (<ext-link xlink:href="https://doi.org/10.5281/zenodo.20797398" ext-link-type="DOI">10.5281/zenodo.20797398</ext-link>, <xref ref-type="bibr" rid="bib1.bibx52" id="altparen.100"/>).</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d2e5601">The supplement related to this article is available online at <inline-supplementary-material xlink:href="https://doi.org/10.5194/wcd-7-1571-2026-supplement" xlink:title="pdf">https://doi.org/10.5194/wcd-7-1571-2026-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d2e5611">OR, JAR and MB contributed to the design of the study. OR: formal analysis, visualization, writing (original draft, apart from Sect. <xref ref-type="sec" rid="Ch1.S1"/>). JAR: supervision, writing (review and editing). JR: derecho identification, writing (review and editing). MB: conceptualization, supervision, writing (wrote Sect. <xref ref-type="sec" rid="Ch1.S1"/>, review and editing).</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d2e5621">The contact author has declared that none of the authors has any competing interests.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d2e5627">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. The authors bear the ultimate responsibility for providing appropriate place names. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.</p>
  </notes><ack><title>Acknowledgements</title><p id="d2e5633">The authors would like to express their gratitude to Eerik Saarikalle at the Finnish Meteorological Institute for providing the radar images of the derecho events. The authors also wish to acknowledge CSC – IT Center for Science, Finland, for computational resources, and ECMWF for producing ERA5 reanalysis. The authors wish to thank two anonymous reviewers for their constructive comments that significantly improved this manuscript. Figures in this study use the Scientific colour maps by <xref ref-type="bibr" rid="bib1.bibx13" id="text.101"/> to prevent visual distortion of the data and exclusion of readers with colour-vision deficiencies <xref ref-type="bibr" rid="bib1.bibx14" id="paren.102"/>.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d2e5644">This research has been supported by the Research Council of Finland (grant nos. 328616, 333397, and 364665) and the Finnish State Nuclear Waste Management Fund (Dnro SAFIR 6/2022 and SAFER 5/2025).Open-access funding was provided by the Helsinki University Library.</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d2e5655">This paper was edited by Johannes Dahl and reviewed by Monika Feldmann and one anonymous referee.</p>
  </notes><ref-list>
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