Articles | Volume 2, issue 1
https://doi.org/10.5194/wcd-2-181-2021
© Author(s) 2021. 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-2-181-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Mar 2021
Research article |
| 15 Mar 2021
| 15 Mar 2021
The importance of horizontal model resolution on simulated precipitation in Europe – from global to regional models
Gustav Strandberg
CORRESPONDING AUTHOR
Rossby Centre, Swedish Meteorological and Hydrological Institute,
SMHI, Norrköping, 602 19, Sweden
Bolin Centre for climate research, Stockholm University, Stockholm,
106 91, Sweden
Petter Lind
Rossby Centre, Swedish Meteorological and Hydrological Institute,
SMHI, Norrköping, 602 19, Sweden
Bolin Centre for climate research, Stockholm University, Stockholm,
106 91, Sweden
Department of meteorology, Stockholm University, Stockholm, 106 91,
Sweden
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James M. Done, Gary M. Lackmann, and Andreas F. Prein
Weather Clim. Dynam., 3, 693–711, https://doi.org/10.5194/wcd-3-693-2022, https://doi.org/10.5194/wcd-3-693-2022, 2022
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Philipp Breul, Paulo Ceppi, and Theodore G. Shepherd
Weather Clim. Dynam., 3, 645–658, https://doi.org/10.5194/wcd-3-645-2022, https://doi.org/10.5194/wcd-3-645-2022, 2022
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Sebastian Schemm, Lukas Papritz, and Gwendal Rivière
Weather Clim. Dynam., 3, 601–623, https://doi.org/10.5194/wcd-3-601-2022, https://doi.org/10.5194/wcd-3-601-2022, 2022
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Edgar Dolores-Tesillos, Franziska Teubler, and Stephan Pfahl
Weather Clim. Dynam., 3, 429–448, https://doi.org/10.5194/wcd-3-429-2022, https://doi.org/10.5194/wcd-3-429-2022, 2022
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Sara Bacer, Fatima Jomaa, Julien Beaumet, Hubert Gallée, Enzo Le Bouëdec, Martin Ménégoz, and Chantal Staquet
Weather Clim. Dynam., 3, 377–389, https://doi.org/10.5194/wcd-3-377-2022, https://doi.org/10.5194/wcd-3-377-2022, 2022
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We study the impact of climate change on wintertime atmospheric blocking over Europe. We focus on the frequency, duration, and size of blocking events. The blocking events are identified via the weather type decomposition methodology. We find that blocking frequency, duration, and size are mostly stationary over the 21st century. Additionally, we compare the blocking size results with the size of the blocking events identified via a different approach using a blocking index.
Ioana Ivanciu, Katja Matthes, Arne Biastoch, Sebastian Wahl, and Jan Harlaß
Weather Clim. Dynam., 3, 139–171, https://doi.org/10.5194/wcd-3-139-2022, https://doi.org/10.5194/wcd-3-139-2022, 2022
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Greenhouse gas concentrations continue to increase, while the Antarctic ozone hole is expected to recover during the twenty-first century. We separate the effects of ozone recovery and of greenhouse gases on the Southern Hemisphere atmospheric and oceanic circulation, and we find that ozone recovery is generally reducing the impact of greenhouse gases, with the exception of certain regions of the stratosphere during spring, where the two effects reinforce each other.
Roman Brogli, Silje Lund Sørland, Nico Kröner, and Christoph Schär
Weather Clim. Dynam., 2, 1093–1110, https://doi.org/10.5194/wcd-2-1093-2021, https://doi.org/10.5194/wcd-2-1093-2021, 2021
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In a warmer future climate, climate simulations predict that some land areas will experience excessive warming during summer. We show that the excessive summer warming is related to the vertical distribution of warming within the atmosphere. In regions characterized by excessive warming, much of the warming occurs close to the surface. In other regions, most of the warming is redistributed to higher levels in the atmosphere, which weakens the surface warming.
Dor Sandler and Nili Harnik
Weather Clim. Dynam., 1, 427–443, https://doi.org/10.5194/wcd-1-427-2020, https://doi.org/10.5194/wcd-1-427-2020, 2020
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The circumglobal teleconnection pattern (CTP) is a wavy pattern of wintertime midlatitude subseasonal flow. It is also linked to various extreme weather events. The CTP is predicted to play a prominent role in future climate. We find that for future projections, most CMIP5 models predict that the CTP will develop a
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Andreas Chrysanthou, Amanda C. Maycock, and Martyn P. Chipperfield
Weather Clim. Dynam., 1, 155–174, https://doi.org/10.5194/wcd-1-155-2020, https://doi.org/10.5194/wcd-1-155-2020, 2020
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We perform 50-year-long time-slice experiments using the Met Office HadGEM3 global climate model in order to decompose the Brewer–Dobson circulation (BDC) response to an abrupt quadrupling of CO2 in three distinct components, (a) the rapid adjustment, associated with CO2 radiative effects; (b) a global uniform sea surface temperature warming; and (c) sea surface temperature patterns. This demonstrates a potential for fast and slow timescales of the response of the BDC to greenhouse gas forcing.
Matthias Röthlisberger, Michael Sprenger, Emmanouil Flaounas, Urs Beyerle, and Heini Wernli
Weather Clim. Dynam., 1, 45–62, https://doi.org/10.5194/wcd-1-45-2020, https://doi.org/10.5194/wcd-1-45-2020, 2020
Short summary
Short summary
In this study we quantify how much the coldest, middle and hottest third of all days during extremely hot summers contribute to their respective seasonal mean anomaly. This
extreme-summer substructurevaries substantially across the Northern Hemisphere and is directly related to the local physical drivers of extreme summers. Furthermore, comparing re-analysis (i.e. measurement-based) and climate model extreme-summer substructures reveals a remarkable level of agreement.
Cited articles
Allen, M. and Ingram, W.: Constraints on future changes in climate and the
hydrologic cycle, Nature, 419, 228–232, https://doi.org/10.1038/nature01092, 2002.
Baker, A. J., Schiemann, R., Hodges, K. I., Demory, M.-E., Mizielinski, M. S., Roberts, M. J., Schaffrey, L. C., Strachan, J., and Vidale P. L.: Enhanced Climate Change Response of Wintertime North Atlantic Circulation,
Cyclonic Activity, and Precipitation in a 25-km-Resolution, Global Atmospheric Model, J. Climate, 32, 7763–7781, https://doi.org/10.1175/JCLI-D-19-0054.1, 2019.
Ban, N., Schmidli, J., and Schär, C.: Evaluation of the convection-resolving regional climate modeling approach in decade-long
simulations, J. Geophys. Res.-Atmos., 119, 7889–7907, https://doi.org/10.1002/2014JD021478, 2014.
Ban, N., Schmidli, J., and Schär, C.: Heavy precipitation in a changing
climate: Does short-term summer precipitation increase faster?, Geophys. Res. Lett., 42, 1165–1172, https://doi.org/10.1002/2014GL062588, 2015.
Belušić, D., de Vries, H., Dobler, A., Landgren, O., Lind, P.,
Lindstedt, D., Pedersen, R. A., Sánchez-Perrino, J. C., Toivonen, E.,
van Ulft, B., Wang, F., Andrae, U., Batrak, Y., Kjellström, E., Lenderink, G., Nikulin, G., Pietikäinen, J.-P., Rodríguez-Camino, E., Samuelsson, P., van Meijgaard, E., and Wu., M.: HCLIM38: a flexible regional climate model applicable for different climate zones from coarse to convection-permitting scales, Geosci. Model Dev., 13, 1311–1333, https://doi.org/10.5194/gmd-13-1311-2020, 2020.
Berthou, S., Kendon, E. J., Chan, S. C., Ban, N., Leutwyler, D., Schär, C., and Fosser, G.: Pan-European climate at convection-permitting scale: a
model intercomparison study, Clim. Dynam., 55, 35–59, https://doi.org/10.1007/s00382-018-4114-6, 2018.
Boé, J., Somot, S., Corre, L., and Nabat, P.: Large differences in Summer climate change over Europe as projected by global and regional climate models: causes and consequences, Clim. Dynam., 54, 2981–3002,
https://doi.org/10.1007/s00382-020-05153-1, 2020.
Brisson, E., Van Weverberg, K., Demuzere, M., Devis, A., Saeed, S., Stengel,
M., and van Lipzig, N. P. M.: How well can a convection-permitting climate model reproduce decadal statistics of precipitation, temperature and cloud
characteristics?, Clim. Dynam., 47, 3043–3061, https://doi.org/10.1007/s00382-016-3012-z, 2016.
Brockhaus, P., Lüthi, D., and Schär, C.: Aspects of the diurnal cycle
in a regional climate model, Meteorol. Z., 17, 433–443,
https://doi.org/10.1127/0941-2948/2008/0316, 2008.
Champion, A. J., Hodges, K. I., Bengtsson, L. O., Keenlyside, N. S., and Esch, M.: Impact of increasing resolution and a warmer climate on extreme
weather from Northern Hemisphere extratropical cyclones, Tellus A, 63, 893–906, https://doi.org/10.1111/j.1600-0870.2011.00538.x, 2011.
Christensen, J. H. and Christensen, O. B.: A summary of the PRUDENCE model
projections of changes in European climate by the end of this century, Climatic Change 81, 7–30, https://doi.org/10.1007/s10584-006-9210-7, 2007.
Coppola, E., Sobolowski, S., Pichelli, E., Raffaele, F., Ahrens, B., Anders,
I., Ban, N., Bastin, S., Belda, M., Belusic, D., Caldas-Alvarez, A., Cardoso, R. M., Davolio, S., Dobler, A., Fernadez, J., Fita, L., Fumiere, Q., Giorgi, F., Görgen, K., Güttler, I., Halenka, T., Heinzeller, D., Hodnebrog, Ø., Jacob, D., Kartsios, S., Katragkou, E., Kendon, E., Khodayar, S., Kunstmann, H., Knist, S., Lavín-Gullón, A., Lind, P., Lorenz, T., Maraun, D., Marelle, L., van Meijgaard, E., Milovac, J., Myhre, G., Panitz, H.-J., Piazza, M., Raffa, M., Raub, T., Rockel, B., Scär, C., Sieck, K., Soares, M. M., Somot, S., Srnec, L., Stocchi, P., Tölle, M. H., Truhetz, H., Vautard, R., de Vries, H., and Warrch-Sagi, K.: A first-of-its-kind multi-model convection permitting ensemble for investigating convective phenomena over Europe and the Mediterranean, Clim. Dynam. 55, 3–34, https://doi.org/10.1007/s00382-018-4521-8, 2018.
Cornes, R., van der Schrier, G., van den Besselaar, E. J. M., and Jones, P. D.: An Ensemble Version of the E-OBS Temperature and Precipitation Datasets, J. Geophys. Res.-Atmos., 123, 9391–9409, https://doi.org/10.1029/2017JD028200, 2018.
Dai, A.: Precipitation characteristics in eighteen coupled climate models, J. Climate, 19, 4605–4630, https://doi.org/10.1175/JCLI3884.1, 2006.
Dai, A., Giorgi, F., and Trenberth, K. E.: Observed and model-simulated diurnal cycles of precipitation over the contiguous United States, J. Geophys. Res., 104, 6377–6402, https://doi.org/10.1029/98JD02720, 1999.
Delworth, T. L, Rosati, A,, Anderson, W., Adcroft, A. J., Balaji, V., Benson, R., Dixon, K., Griffies, S.M., Lee, H. C., Pacanowski, R. C., Vecchi, G. A., Wittenberg, A. T., Zeng, F., and Zhang, R.: Simulated climate and climate change in the GFDL CM2.5 high-resolution coupledclimate model, J. Climate, 25, 2755–2781, https://doi.org/10.1175/JCLI-D-11-00316.1, 2012.
Demory, M.-E., Berthou, S., Fernández, J., Sørland, S. L., Brogli, R., Roberts, M. J., Beyerle, U., Seddon, J., Haarsma, R., Schär, C., Buonomo, E., Christensen, O. B., Ciarlò`, J. M., Fealy, R., Nikulin, G., Peano, D., Putrasahan, D., Roberts, C. D., Senan, R., Steger, C., Teichmann, C., and Vautard, R.: European daily precipitation according to EURO-CORDEX regional climate models (RCMs) and high-resolution global climate models (GCMs) from the High-Resolution Model Intercomparison Project (HighResMIP), Geosci. Model Dev., 13, 5485–5506, https://doi.org/10.5194/gmd-13-5485-2020, 2020.
Déqué, M., Rowell, D. P., Lüthi, D., Giorgi, F., Christensen, J.
H., Rockel, B., Jacob, D., Kjellström, E., de Castro, M., and van den Hurk, B.: An intercomparison of regional climate simulations for Europe:
assessing uncertainties in model projections, Climatic Change, 81, 53–70,
https://doi.org/10.1007/s10584-006-9228-x, 2007.
Di Luca, A., de Elía, R., and Laprise, R.: Potential for added value in
precipitation simulated by high-resolution nested Regional Climate Models
and observations, Clim. Dynam., 38, 1229–1247, https://doi.org/10.1007/s00382-011-1068-3, 2011.
Dirmeyer, P. A., Cash, B. A., Kinter, J. L., Jung, T., Marx, L., Satoh, M.,
Stan, C., Tomita, H., Towers, P., Wedi, N., and Achuthavarier, D.: Simulating
the diurnal cycle of rainfall in global climate models: Resolution versus
parameterization, Clim. Dynam., 39, 399–418, 2012.
Donat, M., Lowry, A., Alexander, L., O'Gorman, P. A., and Maher, N.: More
extreme precipitation in the world's dry and wet regions, Nat. Clim. Change, 6, 508–513, https://doi.org/10.1038/nclimate2941, 2016.
ESGF: ESGF@DOE/LLNL, available at: https://esgf-node.llnl.gov, last access: 12 March 2021.
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R.
J., and Taylor, K. E.: Overview of the Coupled Model Intercomparison Project
Phase 6 (CMIP6) experimental design and organization, Geosci. Model Dev., 9,
1937–1958, https://doi.org/10.5194/gmd-9-1937-2016, 2016.
Fosser, G., Khodayar, S., and Berg, P.: Benefit of convection permitting climate model simulations in the representation of convective precipitation, Clim. Dynam., 44, 45–60, https://doi.org/10.1007/s00382-014-2242-1, 2015.
Gao, X., Xu, Y., Zhao, Z., Pal, J. S., and Giorgi, F.: On the role of resolution and topography in the simulation of East Asia precipitation, Theor. Appl. Climatol., 86, 173–185, https://doi.org/10.1007/s00704-005-0214-4, 2006.
Gao, Y., Leung, L. R., Zhao, C., and Hagos, S.: Sensitivity of U.S. summer
precipitation to model resolution and convective parameterizations across gray zone resolutions, J. Geophys. Res.-Atmos., 122, 2714–2733,
https://doi.org/10.1002/2016JD025896, 2017.
Giorgi, F. and Marinucci, M. R.: A Investigation of the Sensitivity of Simulated Precipitation to Model Resolution and Its Implications for Climate
Studies, Mon. Weather Rev., 124, 148–166, https://doi.org/10.1175/1520-0493(1996)124<0148:AIOTSO>2.0.CO;2, 1996.
Giorgi, F., Torma, C., Coppola, E., Ban, N., Schär, C., and Somot, S.: Enhanced summer convective rainfall at Alpine high elevations in response to climate warming, Nat. Geosci., 9, 584–589, https://doi.org/10.1038/ngeo2761, 2016.
Gutiérrez, C., Somot, S., Nabat, P., Mallet, M., Corre, L., van Meijgaard, E., Perpiñán,O., and Gaertner, M. A.: Future evolution of surface solar radiation and photovoltaic potential in Europe: investigating the role of aerosols, Environ. Res. Lett., 15, 034035,
https://doi.org/10.1088/1748-9326/ab6666, 2020.
Gutjahr, O., Putrasahan, D., Lohmann, K., Jungclaus, J. H., von Storch, J.-S., Brüggemann, N., Haak, H., and Stössel, A.: Max Planck Institute Earth System Model (MPI-ESM1.2) for the High-Resolution Model
Intercomparison Project (HighResMIP), Geosci. Model Dev., 12, 3241–3281,
https://doi.org/10.5194/gmd-12-3241-2019, 2019.
Gutowski Jr., W. J., Giorgi, F., Timbal, B., Frigon, A., Jacob, D., Kang, H.-S., Raghavan, K., Lee, B., Lennard, C., Nikulin, G., O'Rourke, E., Rixen,
M., Solman, S., Stephenson, T., and Tangang, F.: WCRP COordinated Regional
Downscaling EXperiment (CORDEX): a diagnostic MIP for CMIP6, Geosci. Model
Dev., 9, 4087–4095, https://doi.org/10.5194/gmd-9-4087-2016, 2016.
Haarsma, R. J., Roberts, M. J., Vidale, P. L., Senior, C. A., Bellucci, A.,
Bao, Q., Chang, P., Corti, S., Fučkar, N. S., Guemas, V., von Hardenberg, J., Hazeleger, W., Kodama, C., Koenigk, T., Leung, L. R., Lu, J., Luo, J.-J., Mao, J., Mizielinski, M. S., Mizuta, R., Nobre, P., Satoh, M., Scoccimarro, E., Semmler, T., Small, J., and von Storch, J.-S.: High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6, Geosci. Model Dev., 9, 4185–4208, https://doi.org/10.5194/gmd-9-4185-2016, 2016.
Haarsma, R., Acosta, M., Bakhshi, R., Bretonnière, P.-A., Caron, L.-P., Castrillo, M., Corti, S., Davini, P., Exarchou, E., Fabiano, F., Fladrich, U., Fuentes Franco, R., García-Serrano, J., von Hardenberg, J., Koenigk, T., Levine, X., Meccia, V. L., van Noije, T., van den Oord, G., Palmeiro, F. M., Rodrigo, M., Ruprich-Robert, Y., Le Sager, P., Tourigny, E., Wang, S., van Weele, M., and Wyser, K.: HighResMIP versions of EC-Earth: EC-Earth3P and EC-Earth3P-HR – description, model computational performance and basic validation, Geosci. Model Dev., 13, 3507–3527, https://doi.org/10.5194/gmd-13-3507-2020, 2020.
Herrera, S., Kotlarski, S., Soares, P. M. M., Cardoso, R. M., Jaczewaki, A., and Gutiérrez, J. M.: Uncertainty in gridded precipitation products: Influence of station density, interpolation method and grid resolution, Int. J. Climatol., 39, 3717–3729, https://doi.org/10.1002/joc.5878, 2019.
Hofstra, N., Haylock, M., New, M., and Jones, P. D.: Testing E-OBS European
high-resolution gridded data set of daily precipitation and surface temperature, J. Geophys. Res.,114, D21101, https://doi.org/10.1029/2009JD011799, 2009.
Hughes, M., Lundquist, J. D. and Henn, B.: Dynamical downscaling improves
upon gridded precipitation products in the Sierra Nevada, California, Clim.
Dynam., 55, 111–129, https://doi.org/10.1007/s00382-017-3631-z, 2020.
Iles, C. E., Vautard, R., Strachan, J., Joussaume, S., Eggen, B. R., and Hewitt, C. D.: The benefits of increasing resolution in global and regional climate simulations for European climate extremes, Geosci. Model Dev., 13, 5583–5607, https://doi.org/10.5194/gmd-13-5583-2020, 2020.
Iorio, J. P., Duffy, P. B., Govindasamy, B., Khairoutdinov, M., and Randall, D.: Effects of model resolution and subgrid-scale physics on the simulation of precipitation in the continental United States, Clim. Dynam., 23, 243–258, https://doi.org/10.1007/s00382-004-0440-y, 2004.
Kendon, E. J., Roberts, N. M., Fowler, H. J., Roberts, M. J., Chan, S. C., and Senior, C. A.: Heavier summer downpours with climate change revealed by
weather forecast resolution model, Nat. Clim. Change, 4, 570–576,
https://doi.org/10.1038/nclimate2258, 2014.
Kharin, V. V., Zwiers, F. W., Zhang, X., and Wehner, M.: Changes in temperature and precipitation extremes in the CMIP5 ensemble, Climatic Change, 119, 345–357, https://doi.org/10.1007/s10584-013-0705-8, 2013.
Kinter III, J. L., Cash, B., Achuthavarier, D., Adams, J., Altshuler, E.,
Dirmeyer, P., Doty, B., Huang, B., Jin, E. K., Marx, L., Manganello, J., Stan, C., Wakefield, T., Palmer, T., Hamrud, M., Jung, T., Miller, M., Towers, P., Wedi, N., Satoh, M., Tomita, H., Kodama, C., Nasuno, T., Oouchi,
K., Yamada, Y., Taniguchi, H., Andrews, P., Baer, T., Ezel,l M., Halloy, C.,
John, D., Loftis, B., Mohr, R., and Wong, K.: Revolutionizing climate modeling with project Athena: a multi-institutional, international
collaboration, B. Am. Meteorol. Soc., 94, 231–245, https://doi.org/10.1175/BAMS-D-11-00043.1, 2013.
Kjellström, E., Nikulin, G., Hansson, U., Strandberg, G., and Ullerstig,
A.: 21st century changes in the European climate: uncertainties derived from
an ensemble of regional climate model simulations, Tellus A, 63, 24–40, https://doi.org/10.1111/j.1600-0870.2010.00475.x, 2011.
Kjellström, E., Nikulin, G., Strandberg, G., Christensen, O. B., Jacob,
D., Keuler, K., Lenderink, G., van Meijgaard, E., Schär, C., Somot, S.,
Sørland, S. L., Teichmann, C., and Vautard, R.: European climate change
at global mean temperature increases of 1.5 and 2 ∘C above pre-industrial conditions as simulated by the EURO-CORDEX regional climate
models, Earth Syst. Dynam., 9, 459–478, https://doi.org/10.5194/esd-9-459-2018, 2018.
Klingaman, N. P., Martin, G. M., and Moise, A.: ASoP (v1.0): a set of methods for analyzing scales of precipitation in general circulation models,
Geosci. Model Dev., 10, 57–83, https://doi.org/10.5194/gmd-10-57-2017, 2017.
Kotlarski, S., Szabó, P., Herrera, S., Räty, O., Keuler, K., Soares, P. M., Cardoso, R. M., Bosshard, T., Pagé, C., Boberg, F., Gutiérrez, J. M., Isotta, F., A., Jaczewski, A., Kreienkamp, F., Liniger, M. A., Lussana, C., and Pianko-Kluczyńska, K.: Observational uncertainty and regional climate model evaluation: A pan-European perspective, Int J. Climatol., 39, 3730–3749, https://doi.org/10.1002/joc.5249, 2019.
Leutwyler, D., Lüthi, D., Ban, N., Fuhrer, O., and Schär, C.: Evaluation of the convection-resolving climate modeling approach on continental scales, J. Geophys. Res.-Atmos., 122, 5237–5258,
https://doi.org/10.1002/2016JD026013, 2017.
Liang, X.-Z., Li, L., Dai, A., and Kunkel, K. E.: Regional climate model
simulation of summer precipitation diurnal cycle over the United States, Geophys. Res. Lett., 31, L24208, https://doi.org/10.1029/2004GL021054, 2004.
Lind, P., Belušić, D., Christensen, O. B., Dobler, A., Kjellström, E., Landgren, O., Lindstedt, D., Matte, D., Pedersen, R. A.,
Toivonen, E., and Wang, F.: Benefits and added value of convection-permitting climate modeling over Fenno-Scandinavia, Clim. Dynam., 55, 1893–1912, https://doi.org/10.1007/s00382-020-05359-3, 2020.
Lundquist, J., Hughes, M., Gutmann, E., and Kapnick, S.: Our Skill in Modeling Mountain Rain and Snow is Bypassing the Skill of Our Observational
Networks, B. Am. Meteorol. Soc., 100, 2473–2490, https://doi.org/10.1175/BAMS-D-19-0001.1, 2019.
Lussana, C., Saloranta, T., Skaugen, T., Magnusson, J., Tveito, O. E., and
Andersen, J.: seNorge2 daily precipitation, an observational gridded dataset
over Norway from 1957 to the present day, Earth Syst. Sci. Data, 10, 235–249, https://doi.org/10.5194/essd-10-235-2018, 2018.
O'Gorman, P.: Sensitivity of tropical precipitation extremes to climate change, Nat, Geosci., 5, 697–700, https://doi.org/10.1038/ngeo1568, 2012.
Pall, P., Allen, M. R., and Stone, D. A.: Testing the Clausius–Clapeyron
constraint on changes in extreme precipitation under CO2 warming, Clim. Dynam., 28, 351–363, https://doi.org/10.1007/s00382-006-0180-2, 2007.
Pfahl, S., O'Gorman, P., and Fischer, E.: Understanding the regional pattern
of projected future changes in extreme precipitation, Nat. Clim. Change, 7, 423–427, https://doi.org/10.1038/nclimate3287, 2017.
Prein, A. F. and Gobiet, A.: Impacts of uncertainties in European gridded
precipitation observations on regional climate analysis, Int. J. Climatol.,
37, 305–327, https://doi.org/10.1002/joc.4706, 2017
Prein, A. F., Gobiet, A., Suklitsch, M., Truhetz, H., Awan, N. K., Keuler, K., and Georgievski, G.: Added value of convection permitting seasonal
simulations, Clim. Dynam., 41, 2655–2677, https://doi.org/10.1007/s00382-013-1744-6, 2013a.
Prein, A. F., Holland, G. J., Rasmussen, R. M., Done, J., Ikeda, K., Clark, M. P., and Liu, C. H.: Importance of Regional Climate Model Grid Spacing for
the Simulation of Heavy Precipitation in the Colorado Headwaters, J. Climate, 26, 4848–4857, https://doi.org/10.1175/JCLI-D-12-00727.1, 2013b.
Prein, A. F., Langhans, W., Fosser, G., Ferrone, A., Ban, N., Goergen, K.,
Keller, M., Tölle, M., Gutjahr, O., Feser, F., Brisson, E., Kollet, S.,
Schidli, J., van Lipzig, N. P. M., and Leung, R.: A review on regional
convection-permitting climate modeling: Demonstrations, prospects, and
challenges, Rev. Geophys., 53, 323–361, https://doi.org/10.1002/2014RG000475, 2015.
Prein, A. F., Gobiet, A., Truhetz, H., Keuler, K., Goergen, K., Teichmann, C., Fox Maule, C., van Meijgaard, E., Déqué, M., Nikulin, G., Vautard, R., Colette, A., Kjellström, E., and Jacob, D.: Precipitation in the EURO-CORDEX 0.11∘ and 0.44∘ simulations: high resolution, high benefits?, Clim. Dynam., 46, 383–412, https://doi.org/10.1007/s00382-015-2589-y, 2016.
Rasmussen, R., Baker, B., Kochendorfer, J., Myers, T., Landolt, S., Fischer,
A., Black, J., Thériault, J., Kucera, P., Gochis, D., Smith, C., Nitu, R., Hall, M., Cristanelli, S., and Gutmann, A.: How well are we measuring
snow: the NOAA/FAA/NCAR winter precipitation test bed, B. Am. Meteorol. Soc.,
93, 811–829, https://doi.org/10.1175/BAMS-D-11-00052.1, 2012.
Rauscher, S. A., Coppola, E., Piani, C., and Giorgi, F.: Resolution effects on regional climate model simulations of seasonal precipitation over Europe, Clim. Dynam., 35, 685–711, https://doi.org/10.1007/s00382-009-0607-7, 2010.
Roberts, M. J., Vidale, P. L., Senior, C., Hewitt, H. T., Bates, C., Berthou, S., Chang,P., Christensen, H. M., Danilov, S., Demory, M.-E., Griffies, S. M., Haarsma, R., Jung,T., Martin, G., Minobe, S., Ringler, T., Satoh, M., Schiemann, R., Scoccimarro, E., Stephens, G., and Wehner, M. F.: The Benefits of Global High Resolution for ClimateSimulation: Process Understanding and the Enabling of Stakeholder Decisions at the Regional Scale, B. Am. Meteorol. Soc., 99, 2341–2359, https://doi.org/10.1175/BAMS-D-15-00320.1, 2018.
Roberts, C. D., Senan, R., Molteni, F., Boussetta, S., Mayer, M., and Keeley,
S. P. E.: Climate model configurations of the ECMWF Integrated Forecasting
System (ECMWF-IFS cycle 43r1) for HighResMIP, Geosci. Model Dev., 11,
3681–3712, https://doi.org/10.5194/gmd-11-3681-2018, 2018.
Roberts, M. J., Baker, A., Blockley, E. W., Calvert, D., Coward, A., Hewitt, H. T., Jackson, L. C., Kuhlbrodt, T., Mathiot, P., Roberts, C. D., Schiemann, R., Seddon, J., Vannière, B., and Vidale, P. L.: Description of the resolution hierarchy of the global coupled HadGEM3-GC3.1 model as used in CMIP6 HighResMIP experiments, Geosci. Model Dev., 12, 4999–5028, https://doi.org/10.5194/gmd-12-4999-2019, 2019.
Sørland, S. L., Schär, C., Lüthi, D., and Kjellström, E.: Bias
patterns and climate change signals in GCM-RCM model chains, Environ. Res.
Lett., 13, 074017, https://doi.org/10.1088/1748-9326/aacc77, 2018.
Stephens, G. L., L'Ecuyer, T., Forbes, R., Gettelmen, A., Golaz, J.-C.,
Bodas-Salcedo, A., Suzuki, K., Gabriel, P., and Haynes, J.: Dreary state of
precipitation in global models, J. Geophys. Res., 115, D24211,
https://doi.org/10.1029/2010JD014532, 2010.
Stratton, R. A. and Stirling, A. J.: Improving the diurnal cycle of convection in GCMs, Q. J. Roy. Meteorol. Soc., 138, 1121–1134, https://doi.org/10.1002/qj.991, 2012.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An overview of CMIP5 and the experiment design, B. Am. Meteorol. Soc., 93, 485–498,
https://doi.org/10.1175/BAMS-D-11-00094.1, 2012.
van Haren, R., Haarsma, R. J., Van Oldenborgh, G. J., and Hazeleger, W.: Resolution Dependence of European Precipitation in a State-of-the-Art
Atmospheric General Circulation Model, J. Climate, 28, 5134–5149,
https://doi.org/10.1175/JCLI-D-14-00279.1, 2015.
Vautard, R., Kadygrov, N., Iles, C., Boberg, F., Buonomo, E., Bülow, K., Coppola, E., Corre, L., Meijgaard, E., Nogherotto, R., Sandstad, M., Schwingshackl, C., Somot, S., Aalbers, E., Christensen, O. B., Ciarlò, J. M., Demory, M.-E., Giorgi, F., Jacob, D., Jones, R. G., Keuler, K., Kjellström, E., Lenderink, G., Levavasseur, G., Nikulin, G., Sillmann, J., Solidoro, C., Sørland, S. L., Steger, C., Teichmann, C., Warrach-Sagi, K., and Wulfmeyer, V.: Evaluation of the large EURO-CORDEX regional climate model ensemble, J. Geophys. Res.-Atmos., 125, e2019JD032344, https://doi.org/10.1029/2019JD032344, 2020.
Vergara-Temprado, J., Ban, N., Panosetti, D., Schlemmer, L., and Schär,
C.: Climate models permit convection at much coarser resolutions than
previously considered, J. Climate, 33, 1915–1933, https://doi.org/10.1175/JCLI-D-19-0286.1, 2019.
Voldoire, A., Saint-Martin, D., Sénési, S., Decharme, B., Alias, A.,
Chevallier, M., Colin, J., Guérémy, J.-F., Michou, M., Moine, M.-P.,
Nabat, P., Roehrig, R., Salas y Mélia, D., Séférian, R., Valcke,
S., Beau, I., Belamari, S., Berthet, S., Cassou, C., Cattiaux, J., Deshayes,
J., Douville, H., Franchisteguy, L., Ethé, C., Geoffroy, O., Lévy,
C., Madec, G., Meurdesoif, Y.,Msadek,R., Ribes, A., Sanchez-Gomez, E., and
Terray,L.: Evaluation of CMIP6 DECK Experiments with CNRM-CM6-1, J. Adv.
Model. Earth Syst., 11, 2177–2213, https://doi.org/10.1029/2019MS001683, 2019.
Welch, B. L.: The generalization of `students' problem when several different population variances are involved, Biometrika, 34, 28–35, https://doi.org/10.1093/biomet/34.1-2.28, 1947.
Zappa, G., Shaffrey, L. C., and Hodges, K. I.: The Ability of CMIP5 Models to Simulate North Atlantic Extratropical Cyclones, J. Climate, 26, 5379–5396, https://doi.org/10.1175/JCLI-D-12-00501.1, 2013.
Short summary
Precipitation is a key climate variable with a large impact on society but also difficult to simulate as it depends largely on temporal and spatial scales. We look here at the effect of model resolution on precipitation in Europe, from coarse-scale global model to small-scale regional models. Higher resolution improves simulated precipitation generally, but individual models may over- or underestimate precipitation even at higher resolution.
Precipitation is a key climate variable with a large impact on society but also difficult to...
