Articles | Volume 13, issue 11
https://doi.org/10.5194/gmd-13-5485-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-13-5485-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| Highlight paper
| 
11 Nov 2020
Model evaluation paper | Highlight paper |
| 11 Nov 2020
| 11 Nov 2020
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)
Marie-Estelle Demory
CORRESPONDING AUTHOR
Institute for Atmospheric and Climate Science, ETH Zurich, 8092 Zurich,
Switzerland
Ségolène Berthou
Met Office Hadley Centre, Exeter, EX1 3PB, United Kingdom
Jesús Fernández
Meteorology Group, Dept. Applied Mathematics and Computer Science, University of Cantabria, 39005 Santander, Spain
Silje L. Sørland
Institute for Atmospheric and Climate Science, ETH Zurich, 8092 Zurich,
Switzerland
Roman Brogli
Institute for Atmospheric and Climate Science, ETH Zurich, 8092 Zurich,
Switzerland
Malcolm J. Roberts
Met Office Hadley Centre, Exeter, EX1 3PB, United Kingdom
Urs Beyerle
Institute for Atmospheric and Climate Science, ETH Zurich, 8092 Zurich,
Switzerland
Jon Seddon
Met Office Hadley Centre, Exeter, EX1 3PB, United Kingdom
Rein Haarsma
Royal Netherlands Meteorological Institute (KNMI), 3731 GA De Bilt, the Netherlands
Christoph Schär
Institute for Atmospheric and Climate Science, ETH Zurich, 8092 Zurich,
Switzerland
Erasmo Buonomo
Met Office Hadley Centre, Exeter, EX1 3PB, United Kingdom
Ole B. Christensen
Danish Meteorological Institute (DMI), 2100 Copenhagen, Denmark
James M. Ciarlo ̀
The Abdus Salam International Center for Theoretical Physics (ICTP),
34135 Trieste, Italy
National Institute of Oceanography and Applied
Geophysics (OGS), 34010 Sgonico, Italy
Rowan Fealy
Irish Climate Analysis and Research Units (ICARUS)/Department of Geography, Maynooth University, Maynooth, Co.
Kildare, Ireland
Grigory Nikulin
Swedish Meteorological and Hydrological Institute (SMHI), 60176
Norrköping, Sweden
Daniele Peano
Fondazione Centro euro-Mediterraneo sui Cambiamenti Climatici (CMCC), CSP, 40127 Bologna, Italy
Dian Putrasahan
Max-Planck-Institut für Meteorologie (MPI), 20146 Hamburg,
Germany
Christopher D. Roberts
European Centre for Medium-Range Weather Forecasting (ECMWF), Reading, RG2 9AX, United Kingdom
Retish Senan
European Centre for Medium-Range Weather Forecasting (ECMWF), Reading, RG2 9AX, United Kingdom
Christian Steger
Deutscher Wetterdienst (DWD), 63067 Offenbach, Germany
Claas Teichmann
Climate Service Center Germany (GERICS), Helmholtz-Zentrum
Geesthacht, 20095 Hamburg, Germany
Robert Vautard
Institut Pierre-Simon Laplace, Paris, France
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35 citations as recorded by crossref.
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- Climate change information over Fenno-Scandinavia produced with a convection-permitting climate model P. Lind et al. 10.1007/s00382-022-06589-3
- Evaluation of extreme precipitation over Southeast Asia in the Coupled Model Intercomparison Project Phase 5 regional climate model results andHighResMIPglobal climate models M. Hariadi et al. 10.1002/joc.7938
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- More high-impact atmospheric river-induced extreme precipitation events under warming in a high-resolution model X. Guo et al. 10.1016/j.oneear.2024.11.009
- Evaluation of extreme precipitation over Asia in CMIP6 models T. Dong & W. Dong 10.1007/s00382-021-05773-1
- More intense daily precipitation in CORDEX‐SEA regional climate models than their forcing global climate models over Southeast Asia P. Nguyen et al. 10.1002/joc.7619
- Current and Future Climate Extremes Over Latin America and Caribbean: Assessing Earth System Models from High Resolution Model Intercomparison Project (HighResMIP) A. Avila-Diaz et al. 10.1007/s41748-022-00337-7
- Evaluation of multiple surface-, satellite-, reanalysis-, and WRF model-based gridded precipitation datasets over south-east Central Europe Á. Varga & H. Breuer 10.1016/j.atmosres.2023.107138
- Exploring the influence of improved horizontal resolution on extreme precipitation in Southern Africa major river basins: insights from CMIP6 HighResMIP simulations S. Samuel et al. 10.1007/s00382-024-07325-9
- Impact of Higher Resolution on Precipitation over China in CMIP6 HighResMIP Models X. Xin et al. 10.3390/atmos12060762
- Simulation and prediction of precipitation and temperature under RCP scenarios X. Chengcheng et al. 10.2166/ws.2024.101
- Monsoonal precipitation over Peninsular Malaysia in the CMIP6 HighResMIP experiments: the role of model resolution J. Liang et al. 10.1007/s00382-021-06033-y
- COSMO-CLM regional climate simulations in the Coordinated Regional Climate Downscaling Experiment (CORDEX) framework: a review S. Sørland et al. 10.5194/gmd-14-5125-2021
- Amplified potential for vegetation stress under climate-change-induced intensifying compound extreme events in the Greater Mediterranean Region P. Olschewski et al. 10.5194/nhess-24-1099-2024
- Impact of increased resolution on long-standing biases in HighResMIP-PRIMAVERA climate models E. Moreno-Chamarro et al. 10.5194/gmd-15-269-2022
- Distributional added value analysis of daily CORDEX-CORE RegCM4-7 historical precipitation simulations over Africa G. Gnitou et al. 10.1016/j.atmosres.2023.106818
- Future Changes of European Windstorm Losses in EURO-CORDEX Simulations I. Alifdini et al. 10.16993/tellusa.4094
- Reduced Spring Precipitation Bias and Associated Physical Causes over South China in FGOALS-f3 Climate Models: Experiments with the Horizontal Resolutions P. Zi et al. 10.1007/s13351-024-3200-4
- Climate model downscaling in central Asia: a dynamical and a neural network approach B. Fallah et al. 10.5194/gmd-18-161-2025
- A SPATIOTEMPORAL-AWARE WEIGHTING SCHEME FOR IMPROVING CLIMATE MODEL ENSEMBLE PREDICTIONS M. Fan et al. 10.1615/JMachLearnModelComput.2022046715
- The role of land cover in the climate of glacial Europe P. Velasquez et al. 10.5194/cp-17-1161-2021
- Boundary condition and oceanic impacts on the atmospheric water balance in limited area climate model ensembles K. Goergen & S. Kollet 10.1038/s41598-021-85744-y
- Comparison of CMIP5 and CMIP6 GCM performance for flood projections in the Mekong River Basin S. Try et al. 10.1016/j.ejrh.2022.101035
- Enhancing the accuracy of wind power projections under climate change using geospatial machine learning models S. Moradian et al. 10.1016/j.egyr.2024.09.007
- Projections of mean and extreme precipitation over China and their resolution dependence in the HighResMIP experiments J. Liang et al. 10.1016/j.atmosres.2023.106932
- Future Directions in Precipitation Science F. Tapiador et al. 10.3390/rs13061074
- Influence of Model Resolution on Wind Energy Simulations over Tibetan Plateau Using CMIP6 HighResMIP J. Jiang et al. 10.3390/atmos15111323
- Future Atmospheric Rivers and Impacts on Precipitation: Overview of the ARTMIP Tier 2 High‐Resolution Global Warming Experiment C. Shields et al. 10.1029/2022GL102091
- Advances in numerical weather prediction, data science, and open‐source software herald a paradigm shift in catastrophe risk modeling and insurance underwriting H. Steptoe et al. 10.1111/rmir.12199
- Response of the upper ocean to northeast Pacific atmospheric rivers under climate change C. Shields et al. 10.1038/s43247-024-01774-0
- Simulation of ENSO Teleconnections to Precipitation Extremes over the United States in the High-Resolution Version of E3SM S. Mahajan et al. 10.1175/JCLI-D-20-1011.1
- Extreme events representation in CMCC-CM2 standard and high-resolution general circulation models E. Scoccimarro et al. 10.5194/gmd-15-1841-2022
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Latest update: 02 Apr 2025
Short summary
Now that global climate models (GCMs) can run at similar resolutions to regional climate models (RCMs), one may wonder whether GCMs and RCMs provide similar regional climate information. We perform an evaluation for daily precipitation distribution in PRIMAVERA GCMs (25–50 km resolution) and CORDEX RCMs (12–50 km resolution) over Europe. We show that PRIMAVERA and CORDEX simulate similar distributions. Considering both datasets at such a resolution results in large benefits for impact studies.
Now that global climate models (GCMs) can run at similar resolutions to regional climate models...
Special issue