Articles | Volume 4, issue 1
https://doi.org/10.5194/wcd-4-95-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wcd-4-95-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| Highlight paper
| 
18 Jan 2023
Review article | Highlight paper |
| 18 Jan 2023
| 18 Jan 2023
Reconciling conflicting evidence for the cause of the observed early 21st century Eurasian cooling
Climate Dynamics and Prediction, Nansen Environmental and Remote Sensing Center, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Camille Li
Geophysical Institute, University of Bergen, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Martin P. King
Geophysical Institute, University of Bergen, Bergen, Norway
Climate & Environment, NORCE Norwegian Research Centre, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Lingling Suo
Climate Dynamics and Prediction, Nansen Environmental and Remote Sensing Center, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Peter Y. F. Siew
Geophysical Institute, University of Bergen, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Hoffman Cheung
School of Atmospheric Sciences & Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Zhuhai, China
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
Bjerknes Centre for Climate Research, Bergen, Norway
Richard Davy
Climate Dynamics and Prediction, Nansen Environmental and Remote Sensing Center, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Etienne Dunn-Sigouin
Geophysical Institute, University of Bergen, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Tore Furevik
Climate Dynamics and Prediction, Nansen Environmental and Remote Sensing Center, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Shengping He
Geophysical Institute, University of Bergen, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Erica Madonna
Geophysical Institute, University of Bergen, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Stefan Sobolowski
Climate & Environment, NORCE Norwegian Research Centre, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Thomas Spengler
Geophysical Institute, University of Bergen, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Tim Woollings
Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, United Kingdom
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Stephen Outten and Richard Davy
EGUsphere, https://doi.org/10.5194/egusphere-2023-2832, https://doi.org/10.5194/egusphere-2023-2832, 2023
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The North Atlantic Oscillation is linked to wintertime weather events over Europe. One feature often overlooked is how much the climate variability explained by the NAO has changed over time. We show that there has been a considerable increase in the percentage variance explained by the NAO over the 20th century, and that this is not reproduced by 50 CMIP6 climate models, which are generally biased too high. This has implications for projections and prediction of weather events in the region.
This article is included in the Encyclopedia of Geosciences
Clio Michel, Erica Madonna, Clemens Spensberger, Camille Li, and Stephen Outten
Weather Clim. Dynam., 2, 1131–1148, https://doi.org/10.5194/wcd-2-1131-2021, https://doi.org/10.5194/wcd-2-1131-2021, 2021
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Climate models still struggle to correctly represent blocking frequency over the North Atlantic–European domain. This study makes use of five large ensembles of climate simulations and the ERA-Interim reanalyses to investigate the Greenland blocking frequency and one of its drivers, namely cyclonic Rossby wave breaking. We particularly try to understand the discrepancies between two specific models, out of the five, that behave differently.
This article is included in the Encyclopedia of Geosciences
Emily Gleeson, Stephen Outten, Bjørg Jenny Kokkvoll Engdahl, Eoin Whelan, Ulf Andrae, and Laura Rontu
Adv. Sci. Res., 17, 255–267, https://doi.org/10.5194/asr-17-255-2020, https://doi.org/10.5194/asr-17-255-2020, 2020
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The single-column version of the shared ALADIN-HIRLAM numerical weather prediction system, called MUSC, was developed by Météo-France in the 2000s and has a growing user-base. Tools to derive the required input, to run experiments and to handle outputs have been developed within the HARMONIE-AROME configuration of the ALADIN-HIRLAM system. We also illustrate the usefulness of MUSC for testing and developing physical parametrizations related to cloud microphysics and radiative transfer.
This article is included in the Encyclopedia of Geosciences
I. Esau, R. Davy, S. Outten, S. Tyuryakov, and S. Zilitinkevich
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S. D. Outten and I. Esau
Atmos. Chem. Phys., 13, 5163–5172, https://doi.org/10.5194/acp-13-5163-2013, https://doi.org/10.5194/acp-13-5163-2013, 2013
Fumiaki Ogawa and Thomas Spengler
EGUsphere, https://doi.org/10.5194/egusphere-2024-735, https://doi.org/10.5194/egusphere-2024-735, 2024
This preprint is open for discussion and under review for Weather and Climate Dynamics (WCD).
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The exchange of energy and moisture between the atmosphere and ocean maximises along strong meridional contrasts in sea surface temperature, such as across the Gulf Stream and Kuroshio. We find that these strong meridional contrasts confine and determine the position of evaporation and precipitation, as well as the storm occurrence and intensity. The general intensity of the water cycle and storm activity, however, are determined by the underlying absolute sea surface temperature.
This article is included in the Encyclopedia of Geosciences
Henrik Auestad, Clemens Spensberger, Andrea Marcheggiani, Paulo Ceppi, Thomas Spengler, and Tim Woollings
EGUsphere, https://doi.org/10.5194/egusphere-2024-597, https://doi.org/10.5194/egusphere-2024-597, 2024
This preprint is open for discussion and under review for Weather and Climate Dynamics (WCD).
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Latent heating due to condensation can influence atmospheric circulation by strengthening or weakening horizontal temperature contrasts. Strong temperature contrasts intensify storms and imply the existence of strong upper tropospheric winds, called jets. It remains unclear whether latent heating preferentially reinforces or abates the existing jet. We show that this disagreement is attributable to how the jet is defined, confirming that latent heating reinforces the jet.
This article is included in the Encyclopedia of Geosciences
Peter Yu Feng Siew, Camille Li, Stefan Pieter Sobolowski, Etienne Dunn-Sigouin, and Mingfang Ting
EGUsphere, https://doi.org/10.5194/egusphere-2023-3066, https://doi.org/10.5194/egusphere-2023-3066, 2024
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The atmospheric circulation response to surface heating at various latitudes was investigated within an idealized framework. We confirm previous results on the importance of temperature advection for balancing heating at lower latitudes. Further poleward, transient eddies become increasingly important and, eventually, radiative cooling also contributes. This promotes amplified surface warming for high-latitude heating, and has implications for links between sea ice loss and polar amplification.
This article is included in the Encyclopedia of Geosciences
Stephen Outten and Richard Davy
EGUsphere, https://doi.org/10.5194/egusphere-2023-2832, https://doi.org/10.5194/egusphere-2023-2832, 2023
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The North Atlantic Oscillation is linked to wintertime weather events over Europe. One feature often overlooked is how much the climate variability explained by the NAO has changed over time. We show that there has been a considerable increase in the percentage variance explained by the NAO over the 20th century, and that this is not reproduced by 50 CMIP6 climate models, which are generally biased too high. This has implications for projections and prediction of weather events in the region.
This article is included in the Encyclopedia of Geosciences
Christiane Duscha, Juraj Pálenik, Thomas Spengler, and Joachim Reuder
Atmos. Meas. Tech., 16, 5103–5123, https://doi.org/10.5194/amt-16-5103-2023, https://doi.org/10.5194/amt-16-5103-2023, 2023
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We combine observations from two scanning Doppler lidars to obtain new and unique insights into the dynamic processes inherent to atmospheric convection. The approach complements and enhances conventional methods to probe convection and has the potential to substantially deepen our understanding of this complex process, which is crucial to improving our weather and climate models.
This article is included in the Encyclopedia of Geosciences
Andrea Marcheggiani and Thomas Spengler
Weather Clim. Dynam., 4, 927–942, https://doi.org/10.5194/wcd-4-927-2023, https://doi.org/10.5194/wcd-4-927-2023, 2023
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There is a gap between the theoretical understanding and model representation of moist diabatic effects on the evolution of storm tracks. We seek to bridge this gap by exploring the relationship between diabatic and adiabatic contributions to changes in baroclinicity. We find reversed behaviours in the lower and upper troposphere in the maintenance of baroclinicity. In particular, our study reveals a link between higher moisture availability and upper-tropospheric restoration of baroclinicity.
This article is included in the Encyclopedia of Geosciences
Kristian Strommen, Tim Woollings, Paolo Davini, Paolo Ruggieri, and Isla R. Simpson
Weather Clim. Dynam., 4, 853–874, https://doi.org/10.5194/wcd-4-853-2023, https://doi.org/10.5194/wcd-4-853-2023, 2023
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We present evidence which strongly suggests that decadal variations in the intensity of the North Atlantic winter jet stream can be predicted by current forecast models but that decadal variations in its position appear to be unpredictable. It is argued that this skill at predicting jet intensity originates from the slow, predictable variability in sea surface temperatures in the sub-polar North Atlantic.
This article is included in the Encyclopedia of Geosciences
Bjørg Risebrobakken, Mari F. Jensen, Helene R. Langehaug, Tor Eldevik, Anne Britt Sandø, Camille Li, Andreas Born, Erin Louise McClymont, Ulrich Salzmann, and Stijn De Schepper
Clim. Past, 19, 1101–1123, https://doi.org/10.5194/cp-19-1101-2023, https://doi.org/10.5194/cp-19-1101-2023, 2023
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In the observational period, spatially coherent sea surface temperatures characterize the northern North Atlantic at multidecadal timescales. We show that spatially non-coherent temperature patterns are seen both in further projections and a past warm climate period with a CO2 level comparable to the future low-emission scenario. Buoyancy forcing is shown to be important for northern North Atlantic temperature patterns.
This article is included in the Encyclopedia of Geosciences
Guillaume Gastineau, Claude Frankignoul, Yongqi Gao, Yu-Chiao Liang, Young-Oh Kwon, Annalisa Cherchi, Rohit Ghosh, Elisa Manzini, Daniela Matei, Jennifer Mecking, Lingling Suo, Tian Tian, Shuting Yang, and Ying Zhang
The Cryosphere, 17, 2157–2184, https://doi.org/10.5194/tc-17-2157-2023, https://doi.org/10.5194/tc-17-2157-2023, 2023
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Snow cover variability is important for many human activities. This study aims to understand the main drivers of snow cover in observations and models in order to better understand it and guide the improvement of climate models and forecasting systems. Analyses reveal a dominant role for sea surface temperature in the Pacific. Winter snow cover is also found to have important two-way interactions with the troposphere and stratosphere. No robust influence of the sea ice concentration is found.
This article is included in the Encyclopedia of Geosciences
Maria Chara Karypidou, Stefan Pieter Sobolowski, Lorenzo Sangelantoni, Grigory Nikulin, and Eleni Katragkou
Geosci. Model Dev., 16, 1887–1908, https://doi.org/10.5194/gmd-16-1887-2023, https://doi.org/10.5194/gmd-16-1887-2023, 2023
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Southern Africa is listed among the climate change hotspots; hence, accurate climate change information is vital for the optimal preparedness of local communities. In this work we assess the degree to which regional climate models (RCMs) are influenced by the global climate models (GCMs) from which they receive their lateral boundary forcing. We find that although GCMs exert a strong impact on RCMs, RCMs are still able to display substantial improvement relative to the driving GCMs.
This article is included in the Encyclopedia of Geosciences
Tim Woollings, Camille Li, Marie Drouard, Etienne Dunn-Sigouin, Karim A. Elmestekawy, Momme Hell, Brian Hoskins, Cheikh Mbengue, Matthew Patterson, and Thomas Spengler
Weather Clim. Dynam., 4, 61–80, https://doi.org/10.5194/wcd-4-61-2023, https://doi.org/10.5194/wcd-4-61-2023, 2023
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This paper investigates large-scale atmospheric variability in polar regions, specifically the balance between large-scale turbulence and Rossby wave activity. The polar regions are relatively more dominated by turbulence than lower latitudes, but Rossby waves are found to play a role and can even be triggered from high latitudes under certain conditions. Features such as cyclone lifetimes, high-latitude blocks, and annular modes are discussed from this perspective.
This article is included in the Encyclopedia of Geosciences
Zachary D. Lawrence, Marta Abalos, Blanca Ayarzagüena, David Barriopedro, Amy H. Butler, Natalia Calvo, Alvaro de la Cámara, Andrew Charlton-Perez, Daniela I. V. Domeisen, Etienne Dunn-Sigouin, Javier García-Serrano, Chaim I. Garfinkel, Neil P. Hindley, Liwei Jia, Martin Jucker, Alexey Y. Karpechko, Hera Kim, Andrea L. Lang, Simon H. Lee, Pu Lin, Marisol Osman, Froila M. Palmeiro, Judith Perlwitz, Inna Polichtchouk, Jadwiga H. Richter, Chen Schwartz, Seok-Woo Son, Irina Statnaia, Masakazu Taguchi, Nicholas L. Tyrrell, Corwin J. Wright, and Rachel W.-Y. Wu
Weather Clim. Dynam., 3, 977–1001, https://doi.org/10.5194/wcd-3-977-2022, https://doi.org/10.5194/wcd-3-977-2022, 2022
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Forecast models that are used to predict weather often struggle to represent the Earth’s stratosphere. This may impact their ability to predict surface weather weeks in advance, on subseasonal-to-seasonal (S2S) timescales. We use data from many S2S forecast systems to characterize and compare the stratospheric biases present in such forecast models. These models have many similar stratospheric biases, but they tend to be worse in systems with low model tops located within the stratosphere.
This article is included in the Encyclopedia of Geosciences
Basile de Fleurian, Richard Davy, and Petra M. Langebroek
The Cryosphere, 16, 2265–2283, https://doi.org/10.5194/tc-16-2265-2022, https://doi.org/10.5194/tc-16-2265-2022, 2022
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As temperature increases, more snow and ice melt at the surface of ice sheets. Here we use an ice dynamics and subglacial hydrology model with simplified geometry and climate forcing to study the impact of variations in meltwater on ice dynamics. We focus on the variations in length and intensity of the melt season. Our results show that a longer melt season leads to faster glaciers, but a more intense melt season reduces glaciers' seasonal velocities, albeit leading to higher peak velocities.
This article is included in the Encyclopedia of Geosciences
Maria Chara Karypidou, Eleni Katragkou, and Stefan Pieter Sobolowski
Geosci. Model Dev., 15, 3387–3404, https://doi.org/10.5194/gmd-15-3387-2022, https://doi.org/10.5194/gmd-15-3387-2022, 2022
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The region of southern Africa (SAF) is highly vulnerable to the impacts of climate change and is projected to experience severe precipitation shortages in the coming decades. Reliable climatic information is therefore necessary for the optimal adaptation of local communities. In this work we show that regional climate models are reliable tools for the simulation of precipitation over southern Africa. However, there is still a great need for the expansion and maintenance of observational data.
This article is included in the Encyclopedia of Geosciences
Clemens Spensberger, Trond Thorsteinsson, and Thomas Spengler
Geosci. Model Dev., 15, 2711–2729, https://doi.org/10.5194/gmd-15-2711-2022, https://doi.org/10.5194/gmd-15-2711-2022, 2022
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In order to understand the atmosphere, we rely on a hierarchy of models ranging from very simple to very complex. Comparing different steps in this hierarchy usually entails comparing different models. Here we combine two such steps that are commonly used in one modelling framework. This makes comparisons both much easier and much more direct.
This article is included in the Encyclopedia of Geosciences
Lisa-Ann Kautz, Olivia Martius, Stephan Pfahl, Joaquim G. Pinto, Alexandre M. Ramos, Pedro M. Sousa, and Tim Woollings
Weather Clim. Dynam., 3, 305–336, https://doi.org/10.5194/wcd-3-305-2022, https://doi.org/10.5194/wcd-3-305-2022, 2022
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Atmospheric blocking is associated with stationary, self-sustaining and long-lasting high-pressure systems. They can cause or at least influence surface weather extremes, such as heat waves, cold spells, heavy precipitation events, droughts or wind extremes. The location of the blocking determines where and what type of extreme event will occur. These relationships are also important for weather prediction and may change due to global warming.
This article is included in the Encyclopedia of Geosciences
Clio Michel, Erica Madonna, Clemens Spensberger, Camille Li, and Stephen Outten
Weather Clim. Dynam., 2, 1131–1148, https://doi.org/10.5194/wcd-2-1131-2021, https://doi.org/10.5194/wcd-2-1131-2021, 2021
Short summary
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Climate models still struggle to correctly represent blocking frequency over the North Atlantic–European domain. This study makes use of five large ensembles of climate simulations and the ERA-Interim reanalyses to investigate the Greenland blocking frequency and one of its drivers, namely cyclonic Rossby wave breaking. We particularly try to understand the discrepancies between two specific models, out of the five, that behave differently.
This article is included in the Encyclopedia of Geosciences
Leonidas Tsopouridis, Thomas Spengler, and Clemens Spensberger
Weather Clim. Dynam., 2, 953–970, https://doi.org/10.5194/wcd-2-953-2021, https://doi.org/10.5194/wcd-2-953-2021, 2021
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Comparing simulations with realistic and smoothed SSTs, we find that the intensification of individual cyclones in the Gulf Stream and Kuroshio regions is only marginally affected by reducing the SST gradient. In contrast, we observe a reduced cyclone activity and a shift in storm tracks. Considering differences of the variables occurring within/outside of a radius of any cyclone, we find cyclones to play only a secondary role in explaining the mean states differences among the SST experiments.
This article is included in the Encyclopedia of Geosciences
Erica Madonna, David S. Battisti, Camille Li, and Rachel H. White
Weather Clim. Dynam., 2, 777–794, https://doi.org/10.5194/wcd-2-777-2021, https://doi.org/10.5194/wcd-2-777-2021, 2021
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The amount of precipitation over Europe varies substantially from year to year, with impacts on crop yields and energy production. In this study, we show that it is possible to infer much of the winter precipitation and temperature signal over Europe by knowing only the frequency of occurrence of certain atmospheric circulation patterns. The results highlight the importance of (daily) weather for understanding and interpreting seasonal signals.
This article is included in the Encyclopedia of Geosciences
Martin P. King, Camille Li, and Stefan Sobolowski
Weather Clim. Dynam., 2, 759–776, https://doi.org/10.5194/wcd-2-759-2021, https://doi.org/10.5194/wcd-2-759-2021, 2021
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We re-examine the uncertainty of ENSO teleconnection to the North Atlantic by considering the November–December and January–February months in the cold season, in addition to the conventional DJF months. This is motivated by previous studies reporting varying teleconnected atmospheric anomalies and the mechanisms concerned. Our results indicate an improved confidence in the patterns of the teleconnection. The finding may also have implications on research in predictability and climate impact.
This article is included in the Encyclopedia of Geosciences
Trude Eidhammer, Adam Booth, Sven Decker, Lu Li, Michael Barlage, David Gochis, Roy Rasmussen, Kjetil Melvold, Atle Nesje, and Stefan Sobolowski
Hydrol. Earth Syst. Sci., 25, 4275–4297, https://doi.org/10.5194/hess-25-4275-2021, https://doi.org/10.5194/hess-25-4275-2021, 2021
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We coupled a detailed snow–ice model (Crocus) to represent glaciers in the Weather Research and Forecasting (WRF)-Hydro model and tested it on a well-studied glacier. Several observational systems were used to evaluate the system, i.e., satellites, ground-penetrating radar (used over the glacier for snow depth) and stake observations for glacier mass balance and discharge measurements in rivers from the glacier. Results showed improvements in the streamflow projections when including the model.
This article is included in the Encyclopedia of Geosciences
Kristine Flacké Haualand and Thomas Spengler
Weather Clim. Dynam., 2, 695–712, https://doi.org/10.5194/wcd-2-695-2021, https://doi.org/10.5194/wcd-2-695-2021, 2021
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Given the recent focus on the influence of upper tropospheric structure in wind and temperature on midlatitude weather, we use an idealised model to investigate how structural modifications impact cyclone development. We find that cyclone intensification is less sensitive to these modifications than to changes in the amount of cloud condensation, suggesting that an accurate representation of the upper-level troposphere is less important for midlatitude weather than previously anticipated.
This article is included in the Encyclopedia of Geosciences
Gabriele Messori, Nili Harnik, Erica Madonna, Orli Lachmy, and Davide Faranda
Earth Syst. Dynam., 12, 233–251, https://doi.org/10.5194/esd-12-233-2021, https://doi.org/10.5194/esd-12-233-2021, 2021
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Atmospheric jets are a key component of the climate system and of our everyday lives. Indeed, they affect human activities by influencing the weather in many mid-latitude regions. However, we still lack a complete understanding of their dynamical properties. In this study, we try to relate the understanding gained in idealized computer simulations of the jets to our knowledge from observations of the real atmosphere.
This article is included in the Encyclopedia of Geosciences
Patrick Johannes Stoll, Thomas Spengler, Annick Terpstra, and Rune Grand Graversen
Weather Clim. Dynam., 2, 19–36, https://doi.org/10.5194/wcd-2-19-2021, https://doi.org/10.5194/wcd-2-19-2021, 2021
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Polar lows are intense meso-scale cyclones occurring at high latitudes. The research community has not agreed on a conceptual model to describe polar-low development. Here, we apply self-organising maps to identify the typical ambient sub-synoptic environments of polar lows and find that they can be described as moist-baroclinic cyclones that develop in four different environments characterised by the vertical wind shear.
This article is included in the Encyclopedia of Geosciences
Emily Gleeson, Stephen Outten, Bjørg Jenny Kokkvoll Engdahl, Eoin Whelan, Ulf Andrae, and Laura Rontu
Adv. Sci. Res., 17, 255–267, https://doi.org/10.5194/asr-17-255-2020, https://doi.org/10.5194/asr-17-255-2020, 2020
Short summary
Short summary
The single-column version of the shared ALADIN-HIRLAM numerical weather prediction system, called MUSC, was developed by Météo-France in the 2000s and has a growing user-base. Tools to derive the required input, to run experiments and to handle outputs have been developed within the HARMONIE-AROME configuration of the ALADIN-HIRLAM system. We also illustrate the usefulness of MUSC for testing and developing physical parametrizations related to cloud microphysics and radiative transfer.
This article is included in the Encyclopedia of Geosciences
Peter Yu Feng Siew, Camille Li, Stefan Pieter Sobolowski, and Martin Peter King
Weather Clim. Dynam., 1, 261–275, https://doi.org/10.5194/wcd-1-261-2020, https://doi.org/10.5194/wcd-1-261-2020, 2020
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Arctic sea ice loss has been linked to changes in mid-latitude weather and climate. However, the literature offers differing views on the strength, robustness, and even existence of these linkages. We use a statistical tool (Causal Effect Networks) to show that one proposed pathway linking Barents–Kara ice and mid-latitude circulation is intermittent in observations and likely only active under certain conditions. This result may help explain apparent inconsistencies across previous studies.
This article is included in the Encyclopedia of Geosciences
Natalia Gnatiuk, Iuliia Radchenko, Richard Davy, Evgeny Morozov, and Leonid Bobylev
Biogeosciences, 17, 1199–1212, https://doi.org/10.5194/bg-17-1199-2020, https://doi.org/10.5194/bg-17-1199-2020, 2020
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We analysed the ability of 34 climate models to reproduce main factors affecting the coccolithophore Emiliania huxleyi blooms in six Arctic and sub-Arctic seas. Furthermore, we proposed a procedure of ranking and selecting these models based on the model’s skill in reproducing 10 important oceanographic, meteorological, and biochemical variables in comparison with observation data and demonstrated that the proposed methodology shows a better result than commonly used all-model averaging.
This article is included in the Encyclopedia of Geosciences
Lu Li, Marie Pontoppidan, Stefan Sobolowski, and Alfonso Senatore
Hydrol. Earth Syst. Sci., 24, 771–791, https://doi.org/10.5194/hess-24-771-2020, https://doi.org/10.5194/hess-24-771-2020, 2020
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We assessed the impact of initial conditions on convection-permitting simulations of a flood event over mountainous terrain. The calibrated convection-permitting model performs better than the simpler conceptual model. Discharge is slightly more sensitive to spin-up time than precipitation due to the influence of soil moisture. A maximum of 0.5 m of snow is converted to runoff irrespective of the initial snow depth, and this snowmelt contributes to discharge mostly during peak flow period.
This article is included in the Encyclopedia of Geosciences
Lise S. Graff, Trond Iversen, Ingo Bethke, Jens B. Debernard, Øyvind Seland, Mats Bentsen, Alf Kirkevåg, Camille Li, and Dirk J. L. Olivié
Earth Syst. Dynam., 10, 569–598, https://doi.org/10.5194/esd-10-569-2019, https://doi.org/10.5194/esd-10-569-2019, 2019
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Differences between a 1.5 and a 2.0 °C warmer global climate than 1850 conditions are discussed based on a suite of global atmosphere-only, fully coupled, and slab-ocean runs with the Norwegian Earth System Model. Responses, such as the Arctic amplification of global warming, are stronger with the fully coupled and slab-ocean configurations. While ice-free Arctic summers are rare under 1.5 °C warming in the slab-ocean runs, they are estimated to occur 18 % of the time under 2.0 °C warming.
This article is included in the Encyclopedia of Geosciences
Mikhail Varentsov, Pavel Konstantinov, Alexander Baklanov, Igor Esau, Victoria Miles, and Richard Davy
Atmos. Chem. Phys., 18, 17573–17587, https://doi.org/10.5194/acp-18-17573-2018, https://doi.org/10.5194/acp-18-17573-2018, 2018
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This study reports on the urban heat island (UHI) in a typical Arctic city in winter. Using in situ observations, remote sensing data and modeling, we show that the urban temperature anomaly reaches up to 11 K with a mean value of 1.9 K. At least 50 % of this anomaly is caused by the UHI effect, driven mostly by heating. The rest is created by natural microclimatic variability over the hilly terrain. This is a strong argument in support of energy efficiency measures in the Arctic cities.
This article is included in the Encyclopedia of Geosciences
Zhongshi Zhang, Qing Yan, Elizabeth J. Farmer, Camille Li, Gilles Ramstein, Terence Hughes, Martin Jakobsson, Matt O'Regan, Ran Zhang, Ning Tan, Camille Contoux, Christophe Dumas, and Chuncheng Guo
Clim. Past Discuss., https://doi.org/10.5194/cp-2018-79, https://doi.org/10.5194/cp-2018-79, 2018
Revised manuscript not accepted
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Our study challenges the widely accepted idea that the Laurentide-Eurasian ice sheets gradually extended across North America and Northwest Eurasia, and suggests the growth of the NH ice sheets is much more complicated. We find climate feedbacks regulate the distribution of the NH ice sheets, producing swings between two distinct ice sheet configurations: the Laurentide-Eurasian and a circum-Arctic configuration, where large ice sheets existed over Northeast Siberia and the Canadian Rockies.
This article is included in the Encyclopedia of Geosciences
Camille Li, Clio Michel, Lise Seland Graff, Ingo Bethke, Giuseppe Zappa, Thomas J. Bracegirdle, Erich Fischer, Ben J. Harvey, Trond Iversen, Martin P. King, Harinarayan Krishnan, Ludwig Lierhammer, Daniel Mitchell, John Scinocca, Hideo Shiogama, Dáithí A. Stone, and Justin J. Wettstein
Earth Syst. Dynam., 9, 359–382, https://doi.org/10.5194/esd-9-359-2018, https://doi.org/10.5194/esd-9-359-2018, 2018
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This study investigates the midlatitude atmospheric circulation response to 1.5°C and 2.0°C of warming using modelling experiments run for the HAPPI project (Half a degree Additional warming, Prognosis & Projected Impacts). While the chaotic nature of the atmospheric flow dominates in these low-end warming scenarios, some local changes emerge. Case studies explore precipitation impacts both for regions that dry (Mediterranean) and regions that get wetter (Europe, North American west coast).
This article is included in the Encyclopedia of Geosciences
Peter W. Thorne, Fabio Madonna, Joerg Schulz, Tim Oakley, Bruce Ingleby, Marco Rosoldi, Emanuele Tramutola, Antti Arola, Matthias Buschmann, Anna C. Mikalsen, Richard Davy, Corinne Voces, Karin Kreher, Martine De Maziere, and Gelsomina Pappalardo
Geosci. Instrum. Method. Data Syst., 6, 453–472, https://doi.org/10.5194/gi-6-453-2017, https://doi.org/10.5194/gi-6-453-2017, 2017
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The term system-of-systems with respect to observational capabilities is frequently used, but what does it mean and how can it be assessed? Here, we define one possible interpretation of a system-of-systems architecture that is based upon demonstrable aspects of observing capabilities. We develop a set of assessment strands and then apply these to a set of atmospheric observational networks to decide which observations may be suitable for characterising satellite platforms in future work.
This article is included in the Encyclopedia of Geosciences
Hanna Joos, Erica Madonna, Kasja Witlox, Sylvaine Ferrachat, Heini Wernli, and Ulrike Lohmann
Atmos. Chem. Phys., 17, 6243–6255, https://doi.org/10.5194/acp-17-6243-2017, https://doi.org/10.5194/acp-17-6243-2017, 2017
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The influence of pollution on the precipitation formation in warm conveyor belts (WCBs), the most rising air streams in low-pressure systems is investigated. We investigate in detail the cloud properties and resulting precipitation along these rising airstreams which are simulated with a global climate model. Overall, no big impact of aerosols on precipitation can be seen, however, when comparing the most polluted/cleanest WCBs, a suppression of precipitation by aerosols is observed.
This article is included in the Encyclopedia of Geosciences
Igor Esau, Victoria V. Miles, Richard Davy, Martin W. Miles, and Anna Kurchatova
Atmos. Chem. Phys., 16, 9563–9577, https://doi.org/10.5194/acp-16-9563-2016, https://doi.org/10.5194/acp-16-9563-2016, 2016
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Vegetation cover in the remote and cold areas of northern West Siberia is rapidly changing. Analysis of summer maximum vegetation productivity index collected over 15 years (2000–2014) by Terra/Aqua satellites revealed “greening” over the northern (tundra/tundra-forest) and widespread “browning” over the southern (taiga) parts of the region. The vegetation changes around 28 urbanized areas were different. Many Siberian cities become greener even against wider browning trends at the background.
This article is included in the Encyclopedia of Geosciences
E. Katragkou, M. García-Díez, R. Vautard, S. Sobolowski, P. Zanis, G. Alexandri, R. M. Cardoso, A. Colette, J. Fernandez, A. Gobiet, K. Goergen, T. Karacostas, S. Knist, S. Mayer, P. M. M. Soares, I. Pytharoulis, I. Tegoulias, A. Tsikerdekis, and D. Jacob
Geosci. Model Dev., 8, 603–618, https://doi.org/10.5194/gmd-8-603-2015, https://doi.org/10.5194/gmd-8-603-2015, 2015
T. Wang, H. J. Wang, O. H. Otterå, Y. Q. Gao, L. L. Suo, T. Furevik, and L. Yu
Atmos. Chem. Phys., 13, 12433–12450, https://doi.org/10.5194/acp-13-12433-2013, https://doi.org/10.5194/acp-13-12433-2013, 2013
I. Esau, R. Davy, S. Outten, S. Tyuryakov, and S. Zilitinkevich
Nonlin. Processes Geophys., 20, 589–604, https://doi.org/10.5194/npg-20-589-2013, https://doi.org/10.5194/npg-20-589-2013, 2013
S. D. Outten and I. Esau
Atmos. Chem. Phys., 13, 5163–5172, https://doi.org/10.5194/acp-13-5163-2013, https://doi.org/10.5194/acp-13-5163-2013, 2013
R. J. Telford, C. Li, and M. Kucera
Clim. Past, 9, 859–870, https://doi.org/10.5194/cp-9-859-2013, https://doi.org/10.5194/cp-9-859-2013, 2013
Related subject area
Dynamical processes in polar regions, incl. polar–midlatitude interactions
European summer weather linked to North Atlantic freshwater anomalies in preceding years
On the linkage between future Arctic sea ice retreat, Euro-Atlantic circulation regimes and temperature extremes over Europe
The role of boundary layer processes in summer-time Arctic cyclones
The role of Rossby waves in polar weather and climate
Reanalysis representation of low-level winds in the Antarctic near-coastal region
The composite development and structure of intense synoptic-scale Arctic cyclones
Improved teleconnection between Arctic sea ice and the North Atlantic Oscillation through stochastic process representation
Jet stream variability in a polar warming scenario – a laboratory perspective
Pacific Decadal Oscillation modulates the Arctic sea-ice loss influence on the midlatitude atmospheric circulation in winter
Summertime changes in climate extremes over the peripheral Arctic regions after a sudden sea ice retreat
A global climatology of polar lows investigated for local differences and wind-shear environments
Characteristics of long-track tropopause polar vortices
Identification, characteristics and dynamics of Arctic extreme seasons
Interaction between Atlantic cyclones and Eurasian atmospheric blocking drives wintertime warm extremes in the high Arctic
Moisture origin, transport pathways, and driving processes of intense wintertime moisture transport into the Arctic
The role of tropopause polar vortices in the intensification of summer Arctic cyclones
Dynamical and surface impacts of the January 2021 sudden stratospheric warming in novel Aeolus wind observations, MLS and ERA5
Dynamical drivers of Greenland blocking in climate models
Interactive 3-D visual analysis of ERA5 data: improving diagnostic indices for marine cold air outbreaks and polar lows
Polar lows – moist-baroclinic cyclones developing in four different vertical wind shear environments
Lagrangian detection of precipitation moisture sources for an arid region in northeast Greenland: relations to the North Atlantic Oscillation, sea ice cover, and temporal trends from 1979 to 2017
Stratospheric influence on North Atlantic marine cold air outbreaks following sudden stratospheric warming events
A Lagrangian analysis of the dynamical and thermodynamic drivers of large-scale Greenland melt events during 1979–2017
Intermittency of Arctic–mid-latitude teleconnections: stratospheric pathway between autumn sea ice and the winter North Atlantic Oscillation
The role of wave–wave interactions in sudden stratospheric warming formation
Marilena Oltmanns, N. Penny Holliday, James Screen, Ben I. Moat, Simon A. Josey, D. Gwyn Evans, and Sheldon Bacon
Weather Clim. Dynam., 5, 109–132, https://doi.org/10.5194/wcd-5-109-2024, https://doi.org/10.5194/wcd-5-109-2024, 2024
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The melting of land ice and sea ice leads to freshwater input into the ocean. Based on observations, we show that stronger freshwater anomalies in the subpolar North Atlantic in winter are followed by warmer and drier weather over Europe in summer. The identified link indicates an enhanced predictability of European summer weather at least a winter in advance. It further suggests that warmer and drier summers over Europe can become more frequent under increased freshwater fluxes in the future.
This article is included in the Encyclopedia of Geosciences
Johannes Riebold, Andy Richling, Uwe Ulbrich, Henning Rust, Tido Semmler, and Dörthe Handorf
Weather Clim. Dynam., 4, 663–682, https://doi.org/10.5194/wcd-4-663-2023, https://doi.org/10.5194/wcd-4-663-2023, 2023
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Arctic sea ice loss might impact the atmospheric circulation outside the Arctic and therefore extremes over mid-latitudes. Here, we analyze model experiments to initially assess the influence of sea ice loss on occurrence frequencies of large-scale circulation patterns. Some of these detected circulation changes can be linked to changes in occurrences of European temperature extremes. Compared to future global temperature increases, the sea-ice-related impacts are however of secondary relevance.
This article is included in the Encyclopedia of Geosciences
Hannah L. Croad, John Methven, Ben Harvey, Sarah P. E. Keeley, and Ambrogio Volonté
Weather Clim. Dynam., 4, 617–638, https://doi.org/10.5194/wcd-4-617-2023, https://doi.org/10.5194/wcd-4-617-2023, 2023
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The interaction between Arctic cyclones and the sea ice surface in summer is investigated by analysing the friction and sensible heat flux processes acting in two cyclones with contrasting evolution. The major finding is that the effects of friction on cyclone strength are dependent on a particular feature of cyclone structure: whether they have a warm or cold core during growth. Friction leads to cooling within both cyclone types in the lower atmosphere, which may contribute to their longevity.
This article is included in the Encyclopedia of Geosciences
Tim Woollings, Camille Li, Marie Drouard, Etienne Dunn-Sigouin, Karim A. Elmestekawy, Momme Hell, Brian Hoskins, Cheikh Mbengue, Matthew Patterson, and Thomas Spengler
Weather Clim. Dynam., 4, 61–80, https://doi.org/10.5194/wcd-4-61-2023, https://doi.org/10.5194/wcd-4-61-2023, 2023
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This paper investigates large-scale atmospheric variability in polar regions, specifically the balance between large-scale turbulence and Rossby wave activity. The polar regions are relatively more dominated by turbulence than lower latitudes, but Rossby waves are found to play a role and can even be triggered from high latitudes under certain conditions. Features such as cyclone lifetimes, high-latitude blocks, and annular modes are discussed from this perspective.
This article is included in the Encyclopedia of Geosciences
Thomas Caton Harrison, Stavroula Biri, Thomas J. Bracegirdle, John C. King, Elizabeth C. Kent, Étienne Vignon, and John Turner
Weather Clim. Dynam., 3, 1415–1437, https://doi.org/10.5194/wcd-3-1415-2022, https://doi.org/10.5194/wcd-3-1415-2022, 2022
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Easterly winds encircle Antarctica, impacting sea ice and helping drive ocean currents which shield ice shelves from warmer waters. Reanalysis datasets give us our most complete picture of how these winds behave. In this paper we use satellite data, surface measurements and weather balloons to test how realistic recent reanalysis estimates are. The winds are generally accurate, especially in the most recent of the datasets, but important short-term variations are often misrepresented.
This article is included in the Encyclopedia of Geosciences
Alexander F. Vessey, Kevin I. Hodges, Len C. Shaffrey, and Jonathan J. Day
Weather Clim. Dynam., 3, 1097–1112, https://doi.org/10.5194/wcd-3-1097-2022, https://doi.org/10.5194/wcd-3-1097-2022, 2022
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Understanding the location and intensity of hazardous weather across the Arctic is important for assessing risks to infrastructure, shipping, and coastal communities. This study describes the typical lifetime and structure of intense winter and summer Arctic cyclones. Results show the composite development and structure of intense summer Arctic cyclones are different from intense winter Arctic and North Atlantic Ocean extra-tropical cyclones and from conceptual models.
This article is included in the Encyclopedia of Geosciences
Kristian Strommen, Stephan Juricke, and Fenwick Cooper
Weather Clim. Dynam., 3, 951–975, https://doi.org/10.5194/wcd-3-951-2022, https://doi.org/10.5194/wcd-3-951-2022, 2022
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Observational data suggest that the extent of Arctic sea ice influences mid-latitude winter weather. However, climate models generally fail to reproduce this link, making it unclear if models are missing something or if the observed link is just a coincidence. We show that if one explicitly represents the effect of unresolved sea ice variability in a climate model, then it is able to reproduce this link. This implies that the link may be real but that many models simply fail to simulate it.
This article is included in the Encyclopedia of Geosciences
Costanza Rodda, Uwe Harlander, and Miklos Vincze
Weather Clim. Dynam., 3, 937–950, https://doi.org/10.5194/wcd-3-937-2022, https://doi.org/10.5194/wcd-3-937-2022, 2022
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We report on a set of laboratory experiments that reproduce a global warming scenario. The experiments show that a decreased temperature difference between the poles and subtropics slows down the eastward propagation of the mid-latitude weather patterns. Another consequence is that the temperature variations diminish, and hence extreme temperature events might become milder in a global warming scenario. Our experiments also show that the frequency of such events increases.
This article is included in the Encyclopedia of Geosciences
Amélie Simon, Guillaume Gastineau, Claude Frankignoul, Vladimir Lapin, and Pablo Ortega
Weather Clim. Dynam., 3, 845–861, https://doi.org/10.5194/wcd-3-845-2022, https://doi.org/10.5194/wcd-3-845-2022, 2022
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The influence of the Arctic sea-ice loss on atmospheric circulation in midlatitudes depends on persistent sea surface temperatures in the North Pacific. In winter, Arctic sea-ice loss and a warm North Pacific Ocean both induce depressions over the North Pacific and North Atlantic, an anticyclone over Greenland, and a stratospheric anticyclone over the Arctic. However, the effects are not additive as the interaction between both signals is slightly destructive.
This article is included in the Encyclopedia of Geosciences
Steve Delhaye, Thierry Fichefet, François Massonnet, David Docquier, Rym Msadek, Svenya Chripko, Christopher Roberts, Sarah Keeley, and Retish Senan
Weather Clim. Dynam., 3, 555–573, https://doi.org/10.5194/wcd-3-555-2022, https://doi.org/10.5194/wcd-3-555-2022, 2022
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It is unclear how the atmosphere will respond to a retreat of summer Arctic sea ice. Much attention has been paid so far to weather extremes at mid-latitude and in winter. Here we focus on the changes in extremes in surface air temperature and precipitation over the Arctic regions in summer during and following abrupt sea ice retreats. We find that Arctic sea ice loss clearly shifts the extremes in surface air temperature and precipitation over terrestrial regions surrounding the Arctic Ocean.
This article is included in the Encyclopedia of Geosciences
Patrick Johannes Stoll
Weather Clim. Dynam., 3, 483–504, https://doi.org/10.5194/wcd-3-483-2022, https://doi.org/10.5194/wcd-3-483-2022, 2022
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Polar lows are small but intense cyclones and constitute one of the major natural hazards in the polar regions. To be aware of when and where polar lows occur, this study maps polar lows globally by utilizing new atmospheric datasets. Polar lows develop in all marine areas adjacent to sea ice or cold landmasses, mainly in the winter half year. The highest frequency appears in the Nordic Seas. Further, it is found that polar lows are rather similar in the different ocean sub-basins.
This article is included in the Encyclopedia of Geosciences
Matthew T. Bray and Steven M. Cavallo
Weather Clim. Dynam., 3, 251–278, https://doi.org/10.5194/wcd-3-251-2022, https://doi.org/10.5194/wcd-3-251-2022, 2022
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Tropopause polar vortices (TPVs) are a high-latitude atmospheric phenomenon that impact weather inside and outside of polar regions. Using a set of long-lived TPVs to gain insight into the conditions that are most supportive of TPV survival, we describe patterns of vortex formation and movement. In addition, we analyze the characteristics of these TPVs and how they vary by season. These results help us to better understand TPVs which, in turn, may improve forecasts of related weather events.
This article is included in the Encyclopedia of Geosciences
Katharina Hartmuth, Maxi Boettcher, Heini Wernli, and Lukas Papritz
Weather Clim. Dynam., 3, 89–111, https://doi.org/10.5194/wcd-3-89-2022, https://doi.org/10.5194/wcd-3-89-2022, 2022
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In this study, we introduce a novel method to objectively define and identify extreme Arctic seasons based on different surface variables. We find that such seasons are resulting from various combinations of unusual seasonal conditions. The occurrence or absence of different atmospheric processes strongly affects the character of extreme Arctic seasons. Further, changes in sea ice and sea surface temperature can strongly influence the formation of such a season in distinct regions.
This article is included in the Encyclopedia of Geosciences
Sonja Murto, Rodrigo Caballero, Gunilla Svensson, and Lukas Papritz
Weather Clim. Dynam., 3, 21–44, https://doi.org/10.5194/wcd-3-21-2022, https://doi.org/10.5194/wcd-3-21-2022, 2022
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This study uses reanalysis data to investigate the role of atmospheric blocking, prevailing high-pressure systems and mid-latitude cyclones in driving high-Arctic wintertime warm extreme events. These events are mainly preceded by Ural and Scandinavian blocks, which are shown to be significantly influenced and amplified by cyclones in the North Atlantic. It also highlights processes that need to be well captured in climate models for improving their representation of Arctic wintertime climate.
This article is included in the Encyclopedia of Geosciences
Lukas Papritz, David Hauswirth, and Katharina Hartmuth
Weather Clim. Dynam., 3, 1–20, https://doi.org/10.5194/wcd-3-1-2022, https://doi.org/10.5194/wcd-3-1-2022, 2022
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Water vapor profoundly impacts the Arctic, for example by contributing to sea ice melt. A substantial portion of water vapor in the Arctic originates at mid-latitudes and is transported poleward in a few episodic and intense events. This transport is accomplished by low- and high-pressure systems occurring in specific regions or following particular tracks. Here, we explore how the type of weather system impacts where the water vapor is coming from and how it is transported poleward.
This article is included in the Encyclopedia of Geosciences
Suzanne L. Gray, Kevin I. Hodges, Jonathan L. Vautrey, and John Methven
Weather Clim. Dynam., 2, 1303–1324, https://doi.org/10.5194/wcd-2-1303-2021, https://doi.org/10.5194/wcd-2-1303-2021, 2021
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This research demonstrates, using feature identification and tracking, that anticlockwise rotating vortices at about 7 km altitude called tropopause polar vortices frequently interact with storms developing in the Arctic region, affecting their structure and where they occur. This interaction has implications for the predictability of Arctic weather, given the long lifetime but a relatively small spatial scale of these vortices compared with the density of the polar observation network.
This article is included in the Encyclopedia of Geosciences
Corwin J. Wright, Richard J. Hall, Timothy P. Banyard, Neil P. Hindley, Isabell Krisch, Daniel M. Mitchell, and William J. M. Seviour
Weather Clim. Dynam., 2, 1283–1301, https://doi.org/10.5194/wcd-2-1283-2021, https://doi.org/10.5194/wcd-2-1283-2021, 2021
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Major sudden stratospheric warmings (SSWs) are some of the most dramatic events in the atmosphere and are believed to help cause extreme winter weather events such as the 2018 Beast from the East in Europe and North America. Here, we use unique data from the European Space Agency's new Aeolus satellite to make the first-ever measurements at a global scale of wind changes due to an SSW in the lower part of the atmosphere to help us understand how SSWs affect the atmosphere and surface weather.
This article is included in the Encyclopedia of Geosciences
Clio Michel, Erica Madonna, Clemens Spensberger, Camille Li, and Stephen Outten
Weather Clim. Dynam., 2, 1131–1148, https://doi.org/10.5194/wcd-2-1131-2021, https://doi.org/10.5194/wcd-2-1131-2021, 2021
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Climate models still struggle to correctly represent blocking frequency over the North Atlantic–European domain. This study makes use of five large ensembles of climate simulations and the ERA-Interim reanalyses to investigate the Greenland blocking frequency and one of its drivers, namely cyclonic Rossby wave breaking. We particularly try to understand the discrepancies between two specific models, out of the five, that behave differently.
This article is included in the Encyclopedia of Geosciences
Marcel Meyer, Iuliia Polkova, Kameswar Rao Modali, Laura Schaffer, Johanna Baehr, Stephan Olbrich, and Marc Rautenhaus
Weather Clim. Dynam., 2, 867–891, https://doi.org/10.5194/wcd-2-867-2021, https://doi.org/10.5194/wcd-2-867-2021, 2021
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Novel techniques from computer science are used to study extreme weather events. Inspired by the interactive 3-D visual analysis of the recently released ERA5 reanalysis data, we improve commonly used metrics for measuring polar winter storms and outbreaks of cold air. The software (Met.3D) that we have extended and applied as part of this study is freely available and can be used generically for 3-D visualization of a broad variety of atmospheric processes in weather and climate data.
This article is included in the Encyclopedia of Geosciences
Patrick Johannes Stoll, Thomas Spengler, Annick Terpstra, and Rune Grand Graversen
Weather Clim. Dynam., 2, 19–36, https://doi.org/10.5194/wcd-2-19-2021, https://doi.org/10.5194/wcd-2-19-2021, 2021
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Polar lows are intense meso-scale cyclones occurring at high latitudes. The research community has not agreed on a conceptual model to describe polar-low development. Here, we apply self-organising maps to identify the typical ambient sub-synoptic environments of polar lows and find that they can be described as moist-baroclinic cyclones that develop in four different environments characterised by the vertical wind shear.
This article is included in the Encyclopedia of Geosciences
Lilian Schuster, Fabien Maussion, Lukas Langhamer, and Gina E. Moseley
Weather Clim. Dynam., 2, 1–17, https://doi.org/10.5194/wcd-2-1-2021, https://doi.org/10.5194/wcd-2-1-2021, 2021
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Precipitation and moisture sources over an arid region in northeast Greenland are investigated from 1979 to 2017 by a Lagrangian moisture source diagnostic driven by reanalysis data. Dominant winter moisture sources are the North Atlantic above 45° N. In summer local and north Eurasian continental sources dominate. In positive phases of the North Atlantic Oscillation, evaporation and moisture transport from the Norwegian Sea are stronger, resulting in more precipitation.
This article is included in the Encyclopedia of Geosciences
Hilla Afargan-Gerstman, Iuliia Polkova, Lukas Papritz, Paolo Ruggieri, Martin P. King, Panos J. Athanasiadis, Johanna Baehr, and Daniela I. V. Domeisen
Weather Clim. Dynam., 1, 541–553, https://doi.org/10.5194/wcd-1-541-2020, https://doi.org/10.5194/wcd-1-541-2020, 2020
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We investigate the stratospheric influence on marine cold air outbreaks (MCAOs) in the North Atlantic using ERA-Interim reanalysis data. MCAOs are associated with severe Arctic weather, such as polar lows and strong surface winds. Sudden stratospheric events are found to be associated with more frequent MCAOs in the Barents and the Norwegian seas, affected by the anomalous circulation over Greenland and Scandinavia. Identification of MCAO precursors is crucial for improved long-range prediction.
This article is included in the Encyclopedia of Geosciences
Mauro Hermann, Lukas Papritz, and Heini Wernli
Weather Clim. Dynam., 1, 497–518, https://doi.org/10.5194/wcd-1-497-2020, https://doi.org/10.5194/wcd-1-497-2020, 2020
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We find, by tracing backward in time, that air masses causing extensive melt of the Greenland Ice Sheet originate from further south and lower altitudes than usual. Their exceptional warmth further arises due to ascent and cloud formation, which is special compared to near-surface heat waves in the midlatitudes or the central Arctic. The atmospheric systems and transport pathways identified here are crucial in understanding and simulating the atmospheric control of the ice sheet in the future.
This article is included in the Encyclopedia of Geosciences
Peter Yu Feng Siew, Camille Li, Stefan Pieter Sobolowski, and Martin Peter King
Weather Clim. Dynam., 1, 261–275, https://doi.org/10.5194/wcd-1-261-2020, https://doi.org/10.5194/wcd-1-261-2020, 2020
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Arctic sea ice loss has been linked to changes in mid-latitude weather and climate. However, the literature offers differing views on the strength, robustness, and even existence of these linkages. We use a statistical tool (Causal Effect Networks) to show that one proposed pathway linking Barents–Kara ice and mid-latitude circulation is intermittent in observations and likely only active under certain conditions. This result may help explain apparent inconsistencies across previous studies.
This article is included in the Encyclopedia of Geosciences
Erik A. Lindgren and Aditi Sheshadri
Weather Clim. Dynam., 1, 93–109, https://doi.org/10.5194/wcd-1-93-2020, https://doi.org/10.5194/wcd-1-93-2020, 2020
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Sudden stratospheric warmings (SSWs) are extreme events that influence surface weather up to 2 months after onset. We remove wave–wave interactions (WWIs) in vertical sections of a general circulation model to investigate the role of WWIs in SSW formation. We show that the effects of WWIs depend strongly on the pressure levels where they occur and the zonal structure of the wave forcing in the troposphere. Our results highlight the importance of upper-level processes in stratospheric dynamics.
This article is included in the Encyclopedia of Geosciences
Cited articles
Årthun, M. and Eldevik, T.: On anomalous ocean heat transport toward the
Arctic and associated climate predictability, J. Climate, 29,
689–704, https://doi.org/10.1175/JCLI-D-15-0448.1, 2016. a
Barnes, E. A. and Screen, J. A.: The impact of Arctic warming on the
midlatitude jet-stream: Can it? Has it? Will it?, WIRES Clim. Change, 6, 277–286, https://doi.org/10.1002/wcc.337, 2015. a
Barsugli, J. J. and Battisti, D. S.: The basic effects of atmosphere–ocean
thermal coupling on midlatitude variability, J. Atmos. Sci., 55, 477–493,
https://doi.org/10.1175/1520-0469(1998)055<0477:TBEOAO>2.0.CO;2, 1998. a
Bintanja, R.: The impact of Arctic warming on increased rainfall, Sci.
Rep.-UK, 8, 1–6, https://doi.org/10.1038/s41598-018-34450-3, 2018. a
Blackport, R. and Kushner, P. J.: The transient and equilibrium climate
response to rapid summertime sea ice loss in CCSM4, J. Climate, 29,
401–417, https://doi.org/10.1175/JCLI-D-15-0284.1, 2016. a, b
Blackport, R. and Kushner, P. J.: Isolating the atmospheric circulation
response to Arctic sea ice loss in the coupled climate system, J. Climate, 30, 2163–2185, https://doi.org/10.1175/JCLI-D-16-0257.1, 2017. a, b, c
Blackport, R. and Kushner, P. J.: The role of extratropical ocean warming in
the coupled climate response to Arctic Sea ice loss, J. Climate, 31,
9193–9206, https://doi.org/10.1175/JCLI-D-18-0192.1, 2018. a
Boland, E. J., Bracegirdle, T. J., and Shuckburgh, E. F.: Assessment of sea
ice-atmosphere links in CMIP5 models, Clim. Dynam., 49, 683–702,
https://doi.org/10.1007/s00382-016-3367-1, 2017. a
Bracegirdle, T. J., Lu, H., Eade, R., and Woolings, T.: Do CMIP5 Models
Reproduce Observed Low-Frequency North Atlantic Jet Variability?, Geophys.
Res. Lett., 45, 7204–7212, https://doi.org/10.1029/2018GL078965, 2018. a
Bretherton, C. S. and Battisti, D. S.: An interpretation of the results from
atmospheric general circulation models forced by the time history of the
observed sea surface temperature distribution, Geophys. Res. Lett.,
27, 767–770, https://doi.org/10.1029/1999GL010910, 2000. a
Chen, H. W., Zhang, F., and Alley, R. B.: The robustness of midlatitude weather
pattern changes due to Arctic sea ice loss, J. Climate, 29,
7831–7849, https://doi.org/10.1175/JCLI-D-16-0167.1, 2016. a
Chen, L., Francis, J., and Hanna, E.: The “Warm-Arctic/Cold-continents”
pattern during 1901–2010, Int. J. Climatol., 38,
5245–5254, https://doi.org/10.1002/joc.5725, 2018. a, b
Chernokulsky, A. V., Esau, I., Bulygina, O. N., Davy, R., Mokhov, I. I.,
Outten, S., and Semenov, V. A.: Climatology and interannual variability of
cloudiness in the Atlantic Arctic from surface observations since the late
nineteenth century, J. Climate, 30, 2103–2120,
https://doi.org/10.1175/JCLI-D-16-0329.1, 2017. a
Cheung, H. H., Keenlyside, N., Omrani, N.-E., and Zhou, W.: Remarkable link
between projected uncertainties of Arctic sea-ice decline and winter eurasian
climate, Adv. Atmos. Sci., 35, 38–51,
https://doi.org/10.1007/s00376-017-7156-5, 2018. a
Chripko, S., Msadek, R., Sanchez-Gomez, E., Terray, L., Bessières, L., and
Moine, M.-P.: Impact of Reduced Arctic Sea Ice on Northern Hemisphere Climate
and Weather in Autumn and Winter, J. Climate, 34, 5847–5867,
https://doi.org/10.1175/JCLI-D-20-0515.1, 2021. a, b
Close, S., Houssais, M.-N., and Herbaut, C.: Regional dependence in the timing
of onset of rapid decline in A rctic sea ice concentration, J.
Geophys. Res.-Oceans, 120, 8077–8098, https://doi.org/10.1002/2015JC011187,
2015. a
Cohen, J., Furtado, J. C., Barlow, M. A., Alexeev, V. A., and Cherry, J. E.:
Arctic warming, increasing snow cover and widespread boreal winter cooling,
Environ. Res. Lett., 7, 014007,
https://doi.org/10.1088/1748-9326/7/1/014007, 2012. a
Cohen, J., Screen, J. A., Furtado, J. C., Barlow, M., Whittleston, D., Coumou, D., Francis, J., Dethloff, K., Entekhabi, D., Overland, J., and Jones, J.: Recent
Arctic amplification and extreme mid-latitude weather, Nat. Geosci., 7,
627–637, https://doi.org/10.1038/ngeo2234, 2014. a, b
Cohen, J., Zhang, X., Francis, J., Jung, T., Kwok, R., Overland, J., Ballinger, T., Bhatt, U., Chen, H., Coumou, D., Feldstein, S., Gu, H., Handorf, D., Henderson, G., Ionita, M., Kretschmer, M., Laliberte, F., Lee, S., Linderholm, H. W., Maslowski, W., Peings, Y., Pfeiffer, K., Rigor, I., Semmler, T., Stroeve, J., Taylor, P. C., Vavrus, S., Vihma, T., Wang, S., Wendisch, M., Wu, Y., and Yoon, J.: Divergent consensuses on Arctic
amplification influence on midlatitude severe winter weather, Nat. Clim.
Change, 10, 20–29, https://doi.org/10.1038/s41558-019-0662-y, 2020. a, b, c, d, e, f
Coumou, D., Petoukhov, V., Rahmstorf, S., Petri, S., and Schellnhuber, H. J.:
Quasi-resonant circulation regimes and hemispheric synchronization of extreme
weather in boreal summer, P. Natl. Acad. Sci. USA,
111, 12331–12336, https://doi.org/10.1073/pnas.1412797111, 2014. a
Dai, A. and Song, M.: Little influence of Arctic amplification on mid-latitude
climate, Nat. Clim. Change, 10, 231–237,
https://doi.org/10.1038/s41558-020-0694-3, 2020. a
Davy, R. and Esau, I.: Global climate models’ bias in surface temperature
trends and variability, Environ. Res. Lett., 9, 114024,
https://doi.org/10.1088/1748-9326/9/11/114024, 2014. a
Davy, R. and Outten, S.: The Arctic Surface Climate in CMIP6: Status and
Developments since CMIP5, J. Climate, 33, 8047–8068,
https://doi.org/10.1175/JCLI-D-19-0990.1, 2020. a
De, B. and Wu, Y.: Robustness of the stratospheric pathway in linking the
Barents-Kara Sea sea ice variability to the mid-latitude circulation in CMIP5
models, Clim. Dynam., 53, 193–207, https://doi.org/10.1007/s00382-018-4576-6,
2019. a
Deser, C., Tomas, R. A., and Sun, L.: The role of ocean–atmosphere coupling in
the zonal-mean atmospheric response to Arctic sea ice loss, J. Climate, 28, 2168–2186, https://doi.org/10.1175/JCLI-D-14-00325.1, 2015. a, b, c
Deser, C., Sun, L., Tomas, R. A., and Screen, J.: Does ocean coupling matter
for the northern extratropical response to projected Arctic sea ice loss?,
Geophys. Res. Lett., 43, 2149–2157, https://doi.org/10.1002/2016GL067792,
2016. a, b, c, d
Deser, C., Lehner, F., Rodgers, K. B., Ault, T., Delworth, T. L., DiNezio,
P. N., Fiore, A., Frankignoul, C., Fyfe, J. C., Horton, D. E., Kay, J. E.,
Knutti, R., Lovenduski, N. S., Marotzke, J., McKinnon, K. A., Minobe, S.,
Randerson, J., Screen, J. A., R., S. I., and Ting, M.: Insights from Earth
system model initial-condition large ensembles and future prospects, Nat. Clim. Change, 10, 277–286, https://doi.org/10.1038/s41558-020-0731-2, 2020. a
Eade, R., Stephenson, D. B., Scaife, A., and Smith, D. M.: Quantifying the
rarity of extreme multi-decadal trends: how unusual was the late twentieth
century trend in the North Atlantic Oscillation?, Clim. Dynam., 58, 1555–1568,
https://doi.org/10.1007/s00382-021-05978-4, 2021. a
Eldevik, T., Smedsrud, L. H., Li, C., Arthun, M., Madonna, E., and Svendsen,
L.: The Arctic Mediterranean, in: Interacting Climates of Ocean Basins:
Observations, Mechanisms, Predictability, and Impacts, edited by: Mechoso,
C. R., chap. 6, Cambridge University Press, Cambridge, 186–206, https://doi.org/10.1017/9781108610995.007, 2020. a
Francis, J. A. and Vavrus, S. J.: Evidence linking Arctic amplification to
extreme weather in mid-latitudes, Geophys. Res. Lett., 39, L06801,
https://doi.org/10.1029/2012GL051000, 2012. a
Francis, J. A. and Vavrus, S. J.: Evidence for a wavier jet stream in response
to rapid Arctic warming, Environ. Res. Lett., 10, 014005,
https://doi.org/10.1088/1748-9326/10/1/014005, 2015. a
Fyfe, J. C.: Midlatitudes unaffected by sea ice loss, Nat. Clim. Change, 9,
649–650, https://doi.org/10.1038/s41558-019-0560-3, 2019. a
Gao, Y., Sun, J., Li, F., He, S., Sandven, S., Yan, Q., Zhang, Z., Lohmann, K.,
Keenlyside, N., Furevik, T., and Suo, L.: Arctic sea ice and Eurasian
climate: A review, Adv. Atmos. Sci., 32, 92–114,
https://doi.org/10.1007/s00376-014-0009-6, 2015. a
García-Serrano, J., Frankignoul, C., King, M., Arribas, A., Gao, Y.,
Guemas, V., Matei, D., Msadek, R., Park, W., and Sanchez-Gomez, E.:
Multi-model assessment of linkages between eastern Arctic sea-ice variability
and the Euro-Atlantic atmospheric circulation in current climate, Clim.
Dynam., 49, 2407–2429, https://doi.org/10.1007/s00382-016-3454-3, 2017. a, b
Garfinkel, C. I., Son, S.-W., Song, K., Aquila, V., and Oman, L. D.:
Stratospheric variability contributed to and sustained the recent hiatus in
Eurasian winter warming, Geophys. Res. Lett., 44, 374–382,
https://doi.org/10.1002/2016GL072035, 2017. a
Hay, S., Kushner, P. J., Blackport, R., McCusker, K. E., Oudar, T., Sun, L.,
England, M., Deser, C., Screen, J. A., and Polvani, L. M.: Separating the
Influences of Low-Latitude Warming and Sea Ice Loss on Northern Hemisphere
Climate Change, J. Climate, 35, 2327–2349,
https://doi.org/10.1175/JCLI-D-21-0180.1, 2022. a, b, c
He, S., Knudsen, E. M., Thompson, D. W. J., and Furevik, T.: Evidence for
Predictive Skill of High-Latitude Climate Due to Midsummer Sea Ice Extent
Anomalies, Geophys. Res. Lett., 45, 9114–9122,
https://doi.org/10.1029/2018GL078281, 2018. a
He, S., Xu, X., Furevik, T., and Gao, Y.: Eurasian cooling linked to the
vertical distribution of Arctic warming, Geophys. Res. Lett., 47,
e2020GL087212, https://doi.org/10.1029/2020GL087212, 2020. a, b, c
Hell, M. C., Schneider, T., and Li, C.: Atmospheric circulation response to
short-term Arctic warming in an idealized model, J. Atmos.
Sci., 77, 531–549, https://doi.org/10.1175/JAS-D-19-0133.1, 2020. a
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global reanalysis, Q. J. Roy.
Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020. a
Holmes, C. R., Woollings, T., Hawkins, E., and De Vries, H.: Robust future
changes in temperature variability under greenhouse gas forcing and the
relationship with thermal advection, J. Climate, 29, 2221–2236,
https://doi.org/10.1175/JCLI-D-14-00735.1, 2016. a
Hoshi, K., Ukita, J., Honda, M., Iwamoto, K., Nakamura, T., Yamazaki, K.,
Dethloff, K., Jaiser, R., and Handorf, D.: Poleward eddy heat flux anomalies
associated with recent Arctic sea ice loss, Geophys. Res. Lett., 44,
446–454, https://doi.org/10.1002/2016GL071893, 2017. a
Hoshi, K., Ukita, J., Honda, M., Nakamura, T., Yamazaki, K., Miyoshi, Y., and
Jaiser, R.: Weak stratospheric polar vortex events modulated by the Arctic
sea-ice loss, J. Geophys. Res.-Atmos., 124, 858–869,
https://doi.org/10.1029/2018JD029222, 2019. a
Huang, J., Yu, H., Dai, A., Wei, Y., and Kang, L.: Drylands face potential
threat under 2 ∘C global warming target, Nat. Clim. Change, 7, 417–422,
https://doi.org/10.1038/nclimate3275, 2017. a
Hurrell, J. W.: Decadal trends in the North Atlantic Oscillation: Regional
temperatures and precipitation, Science, 269, 676–679,
https://doi.org/10.1126/science.269.5224.676, 1995. a
Hurrell, J. W., Kushnir, Y., Ottersen, G., and Visbeck, M.: An overview of the
North Atlantic oscillation, Geophysical Monograph-American Geophysical Union,
134, 1–36, https://doi.org/10.1029/134GM01, 2003. a
Inoue, J., Hori, M. E., and Takaya, K.: The role of Barents Sea ice in the
wintertime cyclone track and emergence of a warm-Arctic cold-Siberian
anomaly, J. Climate, 25, 2561–2568, https://doi.org/10.1175/JCLI-D-11-00449.1,
2012. a, b
Jaiser, R., Dethloff, K., Handorf, D., Rinke, A., and Cohen, J.: Impact of sea
ice cover changes on the Northern Hemisphere atmospheric winter circulation,
Tellus A, 64, 11595,
https://doi.org/10.3402/tellusa.v64i0.11595, 2012. a
Jaiser, R., Dethloff, K., and Handorf, D.: Stratospheric response to Arctic sea
ice retreat and associated planetary wave propagation changes, Tellus A, 65, 19375,
https://doi.org/10.3402/tellusa.v65i0.19375, 2013. a
Joshi, M. M., Gregory, J. M., Webb, M. J., Sexton, D. M., and Johns, T. C.:
Mechanisms for the land/sea warming contrast exhibited by simulations of
climate change, Clim. Dynam., 30, 455–465,
https://doi.org/10.1007/s00382-007-0306-1, 2008. a
Kaufmann, R. K., Kauppi, H., Mann, M. L., and Stock, J. H.: Reconciling
anthropogenic climate change with observed temperature 1998–2008,
P. Natl. Acad. Sci. USA, 108, 11790–11793,
https://doi.org/10.1073/pnas.1102467108, 2011. a
Kelleher, M. and Screen, J.: Atmospheric precursors of and response to
anomalous Arctic sea ice in CMIP5 models, Adv. Atmos. Sci.,
35, 27–37, https://doi.org/10.1007/s00376-017-7039-9, 2018. a
Kidston, J., Scaife, A. A., Hardiman, S. C., Mitchell, D. M., Butchart, N.,
Baldwin, M. P., and Gray, L. J.: Stratospheric influence on tropospheric jet
streams, storm tracks and surface weather, Nat. Geosci., 8, 433–440,
https://doi.org/10.1038/NGEO2424, 2015. a
Kim, B.-M., Son, S.-W., Min, S.-K., Jeong, J.-H., Kim, S.-J., Zhang, X., Shim,
T., and Yoon, J.-H.: Weakening of the stratospheric polar vortex by Arctic
sea-ice loss, Nat. Commun., 5, 1–8, https://doi.org/10.1038/ncomms5646, 2014. a, b, c, d
Kim, H.-J. and Son, S.-W.: Recent Eurasian winter temperature change and its
association with Arctic sea-ice loss., Polar Res., 39, 3363,
https://doi.org/10.33265/polar.v39.3363, 2020. a
King, M.: martin-king/outtenetal2022eurasiacoolingtrends: v20220614, Zenodo [code], https://doi.org/10.5281/zenodo.7530197, 2023. a, b
King, M. P., Hell, M., and Keenlyside, N.: Investigation of the atmospheric
mechanisms related to the autumn sea ice and winter circulation link in the
Northern Hemisphere, Clim. Dynam., 46, 1185–1195,
https://doi.org/10.1007/s00382-015-2639-5, 2016. a
Kopec, B. G., Feng, X., Michel, F. A., and Posmentier, E. S.: Influence of sea
ice on Arctic precipitation, P. Natl. Acad. Sci. USA,
113, 46–51, https://doi.org/10.1073/pnas.1504633113, 2016. a
Kosaka, Y. and Xie, S.-P.: Recent global-warming hiatus tied to equatorial
Pacific surface cooling, Nature, 501, 403–407, https://doi.org/10.1038/nature12534,
2013. a
Kretschmer, M., Coumou, D., Donges, J. F., and Runge, J.: Using causal effect
networks to analyze different Arctic drivers of midlatitude winter
circulation, J. Climate, 29, 4069–4081,
https://doi.org/10.1175/JCLI-D-15-0654.1, 2016. a
Kretschmer, M., Cohen, J., Matthias, V., Runge, J., and D., C.: The different
stratospheric influence on cold-extremes in Eurasia and North America,
Climate and Atmospheric Science, 1, 44, https://doi.org/10.1038/s41612-018-0054-4, 2018. a
Kretschmer, M., Zappa, G., and Shepherd, T. G.: The role of Barents–Kara sea ice loss in projected polar vortex changes, Weather Clim. Dynam., 1, 715–730, https://doi.org/10.5194/wcd-1-715-2020, 2020. a
Kretschmer, M., Adams, S. V., Arribas, A., Prudden, R., Robinson, N., Saggioro,
E., and Shepherd, T. G.: Quantifying Causal Pathways of Teleconnections,
B. Am. Meteorol. Soc., 102, E2247–E2263,
https://doi.org/10.1175/BAMS-D-20-0117.1, 2021. a, b
Kug, J.-S., Jeong, J.-H., Jang, Y.-S., Kim, B.-M., Folland, C. K., Min, S.-K.,
and Son, S.-W.: Two distinct influences of Arctic warming on cold winters
over North America and East Asia, Nat. Geosci., 8, 759–762,
https://doi.org/10.1038/ngeo2517, 2015. a, b
Labe, Z., Peings, Y., and Magnusdottir, G.: Warm Arctic, cold Siberia pattern:
role of full Arctic amplification versus sea ice loss alone, Geophys. Res. Lett., 47, e2020GL088583, https://doi.org/10.1029/2020GL088583, 2020. a
Li, C., Stevens, B., and Marotzke, J.: Eurasian winter cooling in the warming
hiatus of 1998–2012, Geophys. Res. Lett., 42, 8131–8139,
https://doi.org/10.1002/2015GL065327, 2015. a, b
Liang, Y.-C., Kwon, Y.-O., Frankignoul, C., Danabasoglu, G., Yeager, S., Cherchi, A., Gao, Y., Gastineau, G., Ghosh, R., Matei, D., Mecking, J. V., Peano, D., Suo, L., and Tian, T.:
Quantification of the Arctic sea ice-driven atmospheric circulation
variability in coordinated large ensemble simulations, Geophys. Res.
Lett., 47, e2019GL085397, https://doi.org/10.1029/2019GL085397, 2020. a, b, c
Liang, Y.-C., Frankignoul, C., Kwon, Y.-O., Gastineau, G., Manzini, E.,
Danabasoglu, G., Suo, L., Yeager, S., Gao, Yongqi, A. J. J., Cherchi, A.,
Ghosh, R., Matei, D., Mecking, J. V., Tian, T., and Zhang, Y.: Impacts of
Arctic Sea Ice on Cold Season Atmospheric Variability and Trends Estimated
from Observations and a Multimodel Large Ensemble, J. Climate, 34,
8419–8443, https://doi.org/10.1175/JCLI-D-20-0578.1, 2021. a, b, c
Liu, J., Curry, J. A., Wang, H., Song, M., and Horton, R. M.: Impact of
declining Arctic sea ice on winter snowfall, P. Natl.
Acad. Sci. USA, 109, 4074–4079, https://doi.org/10.1073/pnas.1114910109, 2012. a, b
Lu, J., Chen, G., and Frierson, D. M.: The position of the midlatitude storm
track and eddy-driven westerlies in aquaplanet AGCMs, J. Atmos.
Sci., 67, 3984–4000, https://doi.org/10.1175/2010JAS3477.1, 2010. a
Lu, M.-M. and Chang, C.-P.: Unusual late-season cold surges during the 2005
Asian winter monsoon: Roles of Atlantic blocking and the central Asian
anticyclone, J. Climate, 22, 5205–5217,
https://doi.org/10.1175/2009JCLI2935.1, 2009. a
Luo, B., Luo, D., Dai, A., Simmonds, I., and Wu, L.: Decadal Variability of
Winter Warm Arctic-Cold Eurasia Dipole Patterns Modulated by Pacific Decadal
Oscillation and Atlantic Multidecadal Oscillation, Earth's Future, 10,
e2021EF002351, https://doi.org/10.1029/2021EF002351, 2022. a
Luo, D., Xiao, Y., Diao, Y., Dai, A., Franzke, C. L. E., and Simmonds, I.:
Impact of Ural Blocking on Winter Warm Arctic–Cold Eurasian Anomalies. Part
II: The Link to the North Atlantic Oscillation, J. Climate, 29,
3949–3971, https://doi.org/10.1175/JCLI-D-15-0612.1, 2016. a
Luo, D., Chen, Y., Dai, A., Mu, M., Zhang, R., and Ian, S.: Winter Eurasian
cooling linked with the Atlantic multidecadal oscillation, Environ. Res. Lett., 12, 125002, https://doi.org/10.1088/1748-9326/aa8de8, 2017. a, b
Luo, D., Chen, X., Dai, A., and Simmonds, I.: Changes in atmospheric blocking
circulations linked with winter Arctic warming: A new perspective, J.
Climate, 31, 7661–7678, https://doi.org/10.1175/JCLI-D-18-0040.1, 2018. a
Luo, D., Chen, X., Overland, J., Simmonds, I., Wu, Y., and Zhang, P.: Weakened
potential vorticity barrier linked to recent winter Arctic sea ice loss and
midlatitude cold extremes, J. Climate, 32, 4235–4261,
https://doi.org/10.1175/JCLI-D-18-0449.1, 2019. a
Maslanik, J., Fowler, C., Stroeve, J., Drobot, S., Zwally, J., Yi, D., and
Emery, W.: A younger, thinner Arctic ice cover: Increased potential for
rapid, extensive sea-ice loss, Geophys. Res. Lett., 34, L24501,
https://doi.org/10.1029/2007GL032043, 2007. a
Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S., C. Péan, S. B., Caud,
N., Chen, Y., Goldfarb, L., Gomis, M., Huang, M., Leitzell, K., Lonnoy, E.,
Matthews, J., Maycock, T., Waterfield, T., Yelekçi, O., Yu, R., and Zhou,
B.: Climate Change 2021: The Physical Science Basis. Contribution of Working
Group I to the Sixth Assessment Report of the Intergovernmental Panel on
Climate Change, Cambridge University Press, 2021. a
McCusker, K. E., Kushner, P. J., Fyfe, J. C., Sigmond, M., Kharin, V. V., and
Bitz, C. M.: Remarkable separability of circulation response to Arctic sea
ice loss and greenhouse gas forcing, Geophys. Res. Lett., 44,
7955–7964, https://doi.org/10.1002/2017GL074327, 2017. a, b
McKinnon, K. A. and Deser, C.: Internal Variability and Regional Climate Trends
in an Observational Large Ensemble, J. Climate, 31, 6783–6802,
https://doi.org/10.1175/JCLI-D-17-0901.1, 2018. a
Mori, M., Kosaka, Y., Watanabe, M., Nakamura, H., and Kimoto, M.: A reconciled
estimate of the influence of Arctic sea-ice loss on recent Eurasian cooling,
Nat. Clim. Change, 9, 123–129, https://doi.org/10.1038/s41558-018-0379-3, 2019. a, b, c
Murto, S., Caballero, R., Svensson, G., and Papritz, L.: Interaction between Atlantic cyclones and Eurasian atmospheric blocking drives wintertime warm extremes in the high Arctic, Weather Clim. Dynam., 3, 21–44, https://doi.org/10.5194/wcd-3-21-2022, 2022. a
Nakamura, T., Yamazaki, K., Iwamoto, K., Honda, M., Miyoshi, Y., Ogawa, Y., and
Ukita, J.: A negative phase shift of the winter AO/NAO due to the recent
Arctic sea-ice reduction in late autumn, J. Geophys. Res.-Atmos., 120, 3209–3227, https://doi.org/10.1002/2014JD022848, 2015. a, b
Nakamura, T., Yamazaki, K., Iwamoto, K., Honda, M., Miyoshi, Y., Ogawa, Y.,
Tomikawa, Y., and Ukita, J.: The stratospheric pathway for Arctic impacts on
midlatitude climate, Geophys. Res. Lett., 43, 3494–3501,
https://doi.org/10.1002/2016GL068330, 2016. a, b, c
Neu, U., Akperov, M. G., Bellenbaum, N., Benestad, R., Blender, R., Caballero, R., Cocozza, A., Dacre, H. F., Feng, Y., Fraedrich, K., Grieger, J., Gulev, S., Hanley, J., Hewson, T., Inatsu, M., Keay, K.,Kew, S. F., Kindem, I., Leckebusch, G. C., Liberato, M. L. R., Lionello, P., Mokhov, I. I., Pinto, J. G., Raible, C. G., Reale, M., Rudeva, I., Schuster, M., Simmonds, I., Sinclair, M., Sprenger, M., Tilinina, N. D., Trigo, I. F., Ulbrich, S., Ulbrich, U., Wang, X. L., and Wernli, H.: IMILAST: A
community effort to intercompare extratropical cyclone detection and tracking
algorithms, B. Am. Meteorol. Soc., 94, 529–547,
https://doi.org/10.1175/BAMS-D-11-00154.1, 2013. a
Newson, R. L.: Response of a general circulation model of the atmosphere to
removal of the Arctic ice-cap, Nature, 241, 39–40, https://doi.org/10.1038/241039b0,
1973. a, b
Ogawa, F., Keenlyside, N., Gao, Y., Koenigk, T., Yang, S., Suo, L., Wang, T., Gastineau, G., Nakamura, T., Cheung, H. N., Omrani, N.-E., Ukita, J., and Semenov, V.: Evaluating impacts of
recent Arctic sea ice loss on the northern hemisphere winter climate change,
Geophys. Res. Lett., 45, 3255–3263, https://doi.org/10.1002/2017GL076502,
2018. a, b, c, d, e, f, g, h, i
Onarheim, I. H., Eldevik, T., Smedsrud, L. H., and Stroeve, J. C.: Seasonal and
regional manifestation of Arctic sea ice loss, J. Climate, 31,
4917–4932, https://doi.org/10.1175/JCLI-D-17-0427.1, 2018. a
Oudar, T., Sanchez-Gomez, E., Chauvin, F., Cattiaux, J., Terray, L., and
Cassou, C.: Respective roles of direct GHG radiative forcing and induced
Arctic sea ice loss on the Northern Hemisphere atmospheric circulation,
Clim. Dynam., 49, 3693–3713, https://doi.org/10.1007/s00382-017-3541-0, 2017. a
Outten, S., Davy, R., and Esau, I.: Eurasian winter cooling: Intercomparison of
reanalyses and CMIP5 data sets, Atmospheric and Oceanic Science Letters, 6,
324–331, https://doi.org/10.3878/j.issn.1674-2834.12.0112, 2013. a, b, c
Overland, J. E. and Wang, M.: Large-scale atmospheric circulation changes are
associated with the recent loss of Arctic sea ice, Tellus A, 62, 1–9,
https://doi.org/10.1111/j.1600-0870.2009.00421.x, 2010. a
Overland, J. E., Wood, K. R., and Wang, M.: Warm Arctic—cold continents:
climate impacts of the newly open Arctic Sea, Polar Res., 30, 15787,
https://doi.org/10.3402/polar.v30i0.15787, 2011. a, b
Overland, J. E., Dethloff, K., Francis, J. A., Hall, R. J., Hanna, E., Kim,
S.-J., Screen, J. A., Shepherd, T. G., and Vihma, T.: Nonlinear response of
mid-latitude weather to the changing Arctic, Nat. Clim. Change, 6,
992–999, https://doi.org/10.1038/nclimate3121, 2016. a, b, c
Overland, J. E., Ballinger, T. J., Cohen, J., Francis, J. A., Hanna, E.,
Jaiser, R., Kim, B.-M., Kim, S.-J., Ukita, J., Vihma, T., M, W., and X, Z.:
How do intermittency and simultaneous processes obfuscate the Arctic
influence on midlatitude winter extreme weather events?, Environ. Res. Lett., 16, 043002, https://doi.org/10.1088/1748-9326/abdb5d, 2021. a
O’Reilly, C., Befort, D., Weisheimer, A., Woollings, T., Ballinger, A., and
Hegerl, G.: Projections of northern hemisphere extratropical climate
underestimate internal variability and associated uncertainty, Communications Earth and Environment, 2, 194, https://doi.org/10.1038/s43247-021-00268-7, 2021. a
Papritz, L. and Spengler, T.: A Lagrangian climatology of wintertime cold air
outbreaks in the Irminger and Nordic seas and their role in shaping air-sea
heat fluxes, J. Climate, 30, 2717–2737,
https://doi.org/10.1175/JCLI-D-16-0605.1, 2017. a
Peings, Y.: Ural blocking as a driver of early-winter stratospheric warmings,
Geophys. Res. Lett., 46, 5460–5468, https://doi.org/10.1029/2019GL082097,
2019. a, b
Peings, Y. and Magnusdottir, G.: Response of the wintertime Northern Hemisphere
atmospheric circulation to current and projected Arctic sea ice decline: A
numerical study with CAM5, J. Climate, 27, 244–264,
https://doi.org/10.1175/JCLI-D-13-00272.1, 2014. a, b
Peings, Y. and Magnusdottir, G.: Role of sea surface temperature, Arctic sea
ice and Siberian snow in forcing the atmospheric circulation in winter of
2012–2013, Clim. Dynam., 45, 1181–1206,
https://doi.org/10.1007/s00382-014-2368-1, 2015. a
Peings, Y. and Magnusdottir, G.: Wintertime atmospheric response to Atlantic
multidecadal variability: Effect of stratospheric representation and
ocean–atmosphere coupling, Clim. Dynam., 47, 1029–1047,
https://doi.org/10.1007/s00382-015-2887-4, 2016. a
Perlwitz, J., Hoerling, M., and Dole, R.: Arctic tropospheric warming: Causes
and linkages to lower latitudes, J. Climate, 28, 2154–2167,
https://doi.org/10.1175/JCLI-D-14-00095.1, 2015. a
Petoukhov, V. and Semenov, V. A.: A link between reduced Barents-Kara sea ice
and cold winter extremes over northern continents, J. Geophys.
Res.-Atmos., 115, D21111, https://doi.org/10.1029/2009JD013568, 2010. a, b, c, d
Petoukhov, V., Rahmstorf, S., Petri, S., and Schellnhuber, H. J.: Quasiresonant
amplification of planetary waves and recent Northern Hemisphere weather
extremes, P. Natl. Acad. Sci. USA, 110, 5336–5341,
https://doi.org/10.1073/pnas.1222000110, 2013. a
Petrie, R. E., Shaffrey, L. C., and Sutton, R. T.: Atmospheric impact of Arctic
sea ice loss in a coupled ocean–atmosphere simulation, J. Climate,
28, 9606–9622, https://doi.org/10.1175/JCLI-D-15-0316.1, 2015. a
Pinto, J. G. and Raible, C. C.: Past and recent changes in the North Atlantic
oscillation, WIRES Clim. Change, 3, 79–90,
https://doi.org/10.1002/wcc.150, 2012. a
Scaife, A. A. and Smith, D.: A signal-to-noise paradox in climate science, npj
Climate and Atmospheric Science, 1, 1–8, https://doi.org/10.1038/s41612-018-0038-4,
2018. a
Schneider, T., Bischoff, T., and Płotka, H.: Physics of changes in synoptic
midlatitude temperature variability, J. Climate, 28, 2312–2331,
https://doi.org/10.1175/JCLI-D-14-00632.1, 2015. a
Screen, J. A.: Arctic amplification decreases temperature variance in northern
mid-to high-latitudes, Nat. Clim. Change, 4, 577–582,
https://doi.org/10.1038/nclimate2268, 2014. a
Screen, J. A. and Blackport, R.: Is sea-ice-driven Eurasian cooling too weak in
models?, Nat. Clim. Change, 9, 934–936, https://doi.org/10.1038/s41558-019-0635-1,
2019. a, b, c
Screen, J. A. and Simmonds, I.: The central role of diminishing sea ice in
recent Arctic temperature amplification, Nature, 464, 1334–1337,
https://doi.org/10.1038/nature09051, 2010a. a
Screen, J. A. and Simmonds, I.: Increasing fall-winter energy loss from the
Arctic Ocean and its role in Arctic temperature amplification, Geophys. Res. Lett., 37, L16707, https://doi.org/10.1029/2010GL044136, 2010b. a, b
Screen, J. A., Deser, C., and Simmonds, I.: Local and remote controls on
observed Arctic warming, Geophys. Res. Lett., 39, L10709, https://doi.org/10.1029/2012GL051598, 2012. a, b, c
Screen, J. A., Simmonds, I., Deser, C., and Tomas, R.: The atmospheric response
to three decades of observed Arctic sea ice loss, J. Climate, 26,
1230–1248, https://doi.org/10.1175/JCLI-D-12-00063.1, 2013. a
Screen, J. A., Deser, C., Smith, D. M., Zhang, X., Blackport, R., Kushner,
P. J., Oudar, T., McCusker, K. E., and Sun, L.: Consistency and discrepancy
in the atmospheric response to Arctic sea-ice loss across climate models,
Nat. Geosci., 11, 155–163, https://doi.org/10.1038/s41561-018-0059-y, 2018. a, b, c, d, e, f
Sellevold, R., Sobolowski, S., and Li, C.: Investigating possible
Arctic–midlatitude teleconnections in a linear framework, J. Climate, 29, 7329–7343, https://doi.org/10.1175/JCLI-D-15-0902.1, 2016. a, b, c
Semenov, V. A. and Latif, M.: Nonlinear winter atmospheric circulation response
to Arctic sea ice concentration anomalies for different periods during
1966–2012, Environ. Res. Lett., 10, 054020,
https://doi.org/10.1088/1748-9326/10/5/054020, 2015. a, b
Semmler, T., Stulic, L., Jung, T., Tilinina, N., Campos, C., Gulev, S., and
Koracin, D.: Seasonal atmospheric responses to reduced Arctic sea ice in an
ensemble of coupled model simulations, J. Climate, 29, 5893–5913,
https://doi.org/10.1175/JCLI-D-15-0586.1, 2016. a
Shaw, T., Baldwin, M., Barnes, E., Caballero, R., Garfinkel, C., Hwang, Y.-T.,
Li, C., O’Gorman, P., Riviere, G., Simpson, I., and Voigt, A.: Storm track
processes and the opposing influences of climate change, Nat. Geosci.,
9, 656–664, https://doi.org/10.1038/ngeo2783, 2016. a
Shepherd, T. G.: Effects of a warming Arctic, Science, 353, 989–990,
https://doi.org/10.1126/science.aag2349, 2016. a
Shepherd, T. G.: Storyline approach to the construction of regional climate
change information, P. Roy. Soc. A, 475, 20190013,
https://doi.org/10.1098/rspa.2019.0013, 2019. a
Shepherd, T. G.: Bringing physical reasoning into statistical practice in
climate-change science, Climatic Change, 169, 2,
https://doi.org/10.1007/s10584-021-03226-6, 2021. a, b, c, d
Sherwood, S., Webb, M. J., Annan, J. D., Armour, K., Forster, P. M., Hargreaves, J. C., Hegerl, G., Klein, S. A., Marvel, K. D., Rohling, E. J., Watanabe, M., Andrews, T., Braconnot, P., Bretherton, C. S., Foster, G. L., Hausfather, Z., von der Heydt, A. S., Knutti, R., Mauritsen, T., Norris, J. R., Proistosescu, C., Rugenstein, M., Schmidt, G. A., Tokarska, K. B., and Zelinka, M. D.: An assessment of Earth's climate sensitivity using multiple lines of
evidence, Rev. Geophys., 58, e2019RG000678,
https://doi.org/10.1029/2019RG000678, 2020. a
Shu, Q., Qiao, F., Song, Z., and Song, Y.: Link between the Barents Oscillation
and recent boreal winter cooling over the Asian midlatitudes, Adv.
Atmos. Sci., 35, 127–132, https://doi.org/10.1007/s00376-017-7021-6, 2018. a
Siew, P. Y. F., Li, C., Sobolowski, S. P., and King, M. P.: Intermittency of Arctic–mid-latitude teleconnections: stratospheric pathway between autumn sea ice and the winter North Atlantic Oscillation, Weather Clim. Dynam., 1, 261–275, https://doi.org/10.5194/wcd-1-261-2020, 2020. a, b, c
Siew, P. Y. F., Li, C., Ting, M., Sobolowski, S. P., Wu, Y., and Chen, X.:
North Atlantic Oscillation in winter is largely insensitive to autumn
Barents-Kara sea ice variability, Science Advances, 7, eabg4893,
https://doi.org/10.1126/sciadv.abg4893, 2021. a, b, c
Simon, A., Frankignoul, C., Gastineau, G., and Kwon, Y.-O.: An observational
estimate of the direct response of the cold-season atmospheric circulation to
the Arctic sea ice loss, J. Climate, 33, 3863–3882,
https://doi.org/10.1175/JCLI-D-19-0687.1, 2020. a
Smith, D. M., Booth, B. B., Dunstone, N. J., Eade, R., Hermanson, L., Jones,
G. S., Scaife, A. A., Sheen, K. L., and Thompson, V.: Role of volcanic and
anthropogenic aerosols in the recent global surface warming slowdown, Nat. Clim. Change, 6, 936–940, https://doi.org/10.1038/nclimate3058, 2016. a
Smith, D. M., Dunstone, N. J., Scaife, A. A., Fiedler, E. K., Copsey, D., and
Hardiman, S. C.: Atmospheric response to Arctic and Antarctic sea ice: The
importance of ocean–atmosphere coupling and the background state, J.
Climate, 30, 4547–4565, https://doi.org/10.1175/JCLI-D-16-0564.1, 2017. a, b
Smith, D. M., Screen, J. A., Deser, C., Cohen, J., Fyfe, J. C., García-Serrano, J., Jung, T., Kattsov, V., Matei, D., Msadek, R., Peings, Y., Sigmond, M., Ukita, J., Yoon, J.-H., and Zhang, X.: The Polar Amplification Model Intercomparison Project (PAMIP) contribution to CMIP6: investigating the causes and consequences of polar amplification, Geosci. Model Dev., 12, 1139–1164, https://doi.org/10.5194/gmd-12-1139-2019, 2019. a
Smith, D. M., Eade, R., Andrews, M. B., Ayres, H., Clark, A., Chripko, S.,
Deser, C., Dunstone, N. J., García-Serrano, J., Gastineau, G., Graff, L. S.,
Hardiman, S. C., He, B., Hermanson, L., Jung, T., Knight, J., Levine, X.,
Magnusdottir, G., Manzini, E., Matei, D., Mori, M., Msadek, R., Ortega, P.,
Peings, Y., Scaife, A. A., Screen, J. A., Seabrook, M., Semmler, T., Sigmond,
M., Streffing, J., Sun, L., and Walsh, A.: Robust but weak winter atmospheric
circulation response to future Arctic sea ice loss, Nat. Commun.,
13, 727, https://doi.org/10.1038/s41467-022-28283-y, 2022. a, b, c
Sorokina, S. A., Li, C., Wettstein, J. J., and Kvamstø, N. G.: Observed
atmospheric coupling between Barents Sea ice and the warm-Arctic
cold-Siberian anomaly pattern, J. Climate, 29, 495–511,
https://doi.org/10.1175/JCLI-D-15-0046.1, 2016. a, b
Stroeve, J. C., Kattsov, V., Barrett, A., Serreze, M., Pavlova, T., Holland,
M., and Meier, W. N.: Trends in Arctic sea ice extent from CMIP5, CMIP3 and
observations, Geophys. Res. Lett., 39, L16502, https://doi.org/10.1029/2012GL052676,
2012. a, b
Strommen, K., Juricke, S., and Cooper, F.: Improved teleconnection between Arctic sea ice and the North Atlantic Oscillation through stochastic process representation, Weather Clim. Dynam., 3, 951–975, https://doi.org/10.5194/wcd-3-951-2022, 2022. a
Sun, L., Deser, C., and Tomas, R. A.: Mechanisms of stratospheric and
tropospheric circulation response to projected Arctic sea ice loss, J. Climate, 28, 7824–7845, https://doi.org/10.1175/JCLI-D-15-0169.1, 2015. a
Sun, L., Perlwitz, J., and Hoerling, M.: What caused the recent “Warm Arctic,
Cold Continents” trend pattern in winter temperatures?, Geophys. Res. Lett., 43, 5345–5352, https://doi.org/10.1002/2016GL069024, 2016. a, b
Suo, L., Gao, Y., Guo, D., Liu, J., Wang, H., and Johannessen, O. M.:
Atmospheric response to the autumn sea-ice free Arctic and its detectability,
Clim. Dynam., 46, 2051–2066, https://doi.org/10.1007/s00382-015-2689-8, 2016. a, b, c
Tyrlis, E., Bader, J., Manzini, E., Ukita, J., Nakamura, H., and Matei, D.: On
the role of Ural Blocking in driving the Warm Arctic–Cold Siberia pattern,
Q. J. Roy. Meteor. Soc., 146, 2138–2153,
https://doi.org/10.1002/qj.3784, 2020. a
Vihma, T.: Effects of Arctic sea ice decline on weather and climate: A review,
Surv. Geophys., 35, 1175–1214, https://doi.org/10.1007/s10712-014-9284-0, 2014. a
Wallace, J. M., Held, I. M., Thompson, D. W., Trenberth, K. E., and Walsh,
J. E.: Global warming and winter weather, Science, 343, 729–730,
https://doi.org/10.1126/science.343.6172.729, 2014. a
Wallace, J. M., Deser, C., Smoliak, B. V., and Phillips, A. S.: Attribution of
climate change in the presence of internal variability, in: Climate change:
multidecadal and beyond, World Scientific, 1–29,
https://doi.org/10.1142/9789814579933_0001, 2016. a
Wang, L. and Chen, W.: The East Asian winter monsoon: Re-amplification in the
mid-2000s, Chinese Sci. Bull., 59, 430–436,
https://doi.org/10.1007/s11434-013-0029-0, 2014. a
Weisheimer, A. and Palmer, T.: On the reliability of seasonal climate
forecasts, J. R. Soc. Interface, 11, 20131162,
https://doi.org/10.1098/rsif.2013.1162, 2014. a
Weisheimer, A., Befort, D. J., MacLeod, D., Palmer, T., O’Reilly, C., and
Strømmen, K.: Seasonal Forecasts of the Twentieth Century, B.
Am. Meteorol. Soc., 101, E1413–E1426,
https://doi.org/10.1175/BAMS-D-19-0019.1, 2020. a
Woollings, T., Franzke, C., Hodson, D., Dong, B., Barnes, E. A., Raible, C.,
and Pinto, J.: Contrasting interannual and multidecadal NAO variability,
Clim. Dynam., 45, 539–556, https://doi.org/10.1007/s00382-014-2237-y, 2015. a
Woollings, T., Li, C., Drouard, M., Dunn-Sigouin, E., Elmestekawy, K. A., Hell, M., Hoskins, B., Mbengue, C., Patterson, M., and Spengler, T.: The role of Rossby waves in polar weather and climate, Weather Clim. Dynam. Discuss. [preprint], https://doi.org/10.5194/wcd-2022-43, in review, 2022. a
Yao, Y., Luo, D., Dai, A., and Simmonds, I.: Increased quasi stationarity and
persistence of winter Ural blocking and Eurasian extreme cold events in
response to Arctic warming. Part I: Insights from observational analyses,
J. Climate, 30, 3549–3568, https://doi.org/10.1175/JCLI-D-16-0261.1, 2017. a
Ye, K. and Messori, G.: Two Leading Modes of Wintertime Atmospheric Circulation
Drive the Recent Warm Arctic–Cold Eurasia Temperature Pattern, J. Climate, 33, 5565–5587, https://doi.org/10.1175/JCLI-D-19-0403.1, 2020. a
Zappa, G., Ceppi, P., and Shepherd, T. G.: Eurasian cooling in response to
Arctic sea-ice loss is not proved by maximum covariance analysis, Nat. Clim. Change, 11, 106–108, https://doi.org/10.1038/s41558-020-00982-8, 2021. a, b, c
Zhang, P., Wu, Y., and Smith, K. L.: Prolonged effect of the stratospheric
pathway in linking Barents–Kara Sea sea ice variability to the midlatitude
circulation in a simplified model, Clim. Dynam., 50, 527–539,
https://doi.org/10.1007/s00382-017-3624-y, 2018b. a
Zhang, X., Lu, C., and Guan, Z.: Weakened cyclones, intensified anticyclones
and recent extreme cold winter weather events in Eurasia, Environ. Res. Lett., 7, 044044, https://doi.org/10.1088/1748-9326/7/4/044044, 2012. a, b, c, d
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Executive editor
This paper analyses the extensive scientific debate around the potential influence of Arctic warming and sea ice loss on recent cooling trends over the Eurasian continent. It provides a novel, holistic perspective on this debate that goes beyond a simple yes or no answer to the question whether a causal link exists between these two phenomena. As such, it has the potential to bring together seemingly diverging portrayals existing in the literature.
This paper analyses the extensive scientific debate around the potential influence of Arctic...
Short summary
Strong disagreement exists in the scientific community over the role of Arctic sea ice in shaping wintertime Eurasian cooling. The observed Eurasian cooling can arise naturally without sea-ice loss but is expected to be a rare event. We propose a framework that incorporates sea-ice retreat and natural variability as contributing factors. A helpful analogy is of a dice roll that may result in cooling, warming, or anything in between, with sea-ice loss acting to load the dice in favour of cooling.
Strong disagreement exists in the scientific community over the role of Arctic sea ice in...
