Articles | Volume 15, issue 1
https://doi.org/10.5194/gmd-15-269-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-269-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Impact of increased resolution on long-standing biases in HighResMIP-PRIMAVERA climate models
Eduardo Moreno-Chamarro
CORRESPONDING AUTHOR
Barcelona Supercomputing Center (BSC), 08034, Barcelona, Spain
Louis-Philippe Caron
Barcelona Supercomputing Center (BSC), 08034, Barcelona, Spain
now at: Ouranos, Montréal, H3A 1B9, Canada
Saskia Loosveldt Tomas
Barcelona Supercomputing Center (BSC), 08034, Barcelona, Spain
Javier Vegas-Regidor
Barcelona Supercomputing Center (BSC), 08034, Barcelona, Spain
Oliver Gutjahr
Max Planck Institute for Meteorology, 20146 Hamburg, Germany
now at: Institut für Meereskunde, Universität Hamburg, 20146 Hamburg, Germany
Marie-Pierre Moine
CECI, Université de Toulouse, CERFACS/CNRS, 31100, Toulouse, France
Dian Putrasahan
Max Planck Institute for Meteorology, 20146 Hamburg, Germany
Christopher D. Roberts
ECMWF European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, United Kingdom
Malcolm J. Roberts
Met Office, Exeter, CE2 EX1 3PB, United Kingdom
Retish Senan
ECMWF European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, United Kingdom
Laurent Terray
CECI, Université de Toulouse, CERFACS/CNRS, 31100, Toulouse, France
Etienne Tourigny
Barcelona Supercomputing Center (BSC), 08034, Barcelona, Spain
Pier Luigi Vidale
NCAS-Climate, Department of Meteorology, University of Reading, Reading, RG6 6BB, United Kingdom
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- The Atlantic Meridional Mode and Associated Wind–SST Relationship in the CMIP6 Models F. Xia et al. 10.3390/atmos14020359
- Rectifying low-frequency variability in future climate sea surface temperature simulations: are corrections for extreme change scenarios realistic? C. Kusumastuti et al. 10.1088/1748-9326/accdf1
- Global Projections of Storm Surges Using High‐Resolution CMIP6 Climate Models S. Muis et al. 10.1029/2023EF003479
- The Northern Hemisphere Wintertime Storm Track Simulated in the High‐Resolution Community Earth System Model Z. Wang et al. 10.1029/2023MS003652
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- Impact of resolution on the atmosphere–ocean coupling along the Gulf Stream in global high resolution models E. Tsartsali et al. 10.1007/s00382-021-06098-9
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24 citations as recorded by crossref.
- Orographic resolution driving the improvements associated with horizontal resolution increase in the Northern Hemisphere winter mid-latitudes P. Davini et al. 10.5194/wcd-3-535-2022
- Low cloud response to aerosol‐radiation‐cloud interactions: Idealized WRF numerical experiments for EUREC4A project N. Tartaglione et al. 10.1002/asl.1208
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- Increased wintertime European atmospheric blocking frequencies in General Circulation Models with an eddy-permitting ocean S. Michel et al. 10.1038/s41612-023-00372-9
- Discrepancies in Simulated Ocean Net Surface Heat Fluxes over the North Atlantic C. Liu et al. 10.1007/s00376-022-1360-7
- Impact of increased resolution on the representation of the Canary upwelling system in climate models A. Sylla et al. 10.5194/gmd-15-8245-2022
- Impact of climate change on site characteristics of eight major astronomical observatories using high-resolution global climate projections until 2050 C. Haslebacher et al. 10.1051/0004-6361/202142493
- Effect of increased ocean resolution on model errors in El Niño–Southern Oscillation and its teleconnections N. Williams et al. 10.1002/qj.4655
- SPEEDY-NEMO: performance and applications of a fully-coupled intermediate-complexity climate model P. Ruggieri et al. 10.1007/s00382-023-07097-8
- Bias correction of CMIP6 simulations of precipitation over Indian monsoon core region using deep learning algorithms T. Kesavavarthini et al. 10.1002/joc.8056
- Extratropical Transition of Tropical Cyclones in a Multiresolution Ensemble of Atmosphere-Only and Fully Coupled Global Climate Models A. Baker et al. 10.1175/JCLI-D-21-0801.1
- Evaluation of CMIP6 HighResMIP for Hydrologic Modeling of Annual Maximum Discharge in Iowa A. Michalek et al. 10.1029/2022WR034166
- Using high resolution climate models to explore future changes in post-tropical cyclone precipitation E. Bower & K. Reed 10.1088/1748-9326/ad2163
- Digital twins of the Earth with and for humans W. Hazeleger et al. 10.1038/s43247-024-01626-x
- Revisiting model complexity: Space-time correction of high dimensional variable sets in climate model simulations C. Kusumastuti et al. 10.1016/j.hydroa.2024.100193
- Sensitivity of ECMWF coupled forecasts to improved initialization of the ocean mesoscale C. Roberts et al. 10.1002/qj.4383
- The Atlantic Meridional Mode and Associated Wind–SST Relationship in the CMIP6 Models F. Xia et al. 10.3390/atmos14020359
- Rectifying low-frequency variability in future climate sea surface temperature simulations: are corrections for extreme change scenarios realistic? C. Kusumastuti et al. 10.1088/1748-9326/accdf1
- Global Projections of Storm Surges Using High‐Resolution CMIP6 Climate Models S. Muis et al. 10.1029/2023EF003479
- The Northern Hemisphere Wintertime Storm Track Simulated in the High‐Resolution Community Earth System Model Z. Wang et al. 10.1029/2023MS003652
- Large-scale dynamics moderate impact-relevant changes to organised convective storms S. Chan et al. 10.1038/s43247-022-00669-2
- Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy C. Jones et al. 10.5194/esd-15-1319-2024
- 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
2 citations as recorded by crossref.
Latest update: 23 Nov 2024
Short summary
Climate models do not fully reproduce observations: they show differences (biases) in regional temperature, precipitation, or cloud cover. Reducing model biases is important to increase our confidence in their ability to reproduce present and future climate changes. Model realism is set by its resolution: the finer it is, the more physical processes and interactions it can resolve. We here show that increasing resolution of up to ~ 25 km can help reduce model biases but not remove them entirely.
Climate models do not fully reproduce observations: they show differences (biases) in regional...