Demory, Marie-Estelle, Berthou, Ségolène, Fernández, Jesús, Sørland, Silje L., Brogli, Roman, Roberts, Malcolm J., Beyerle, Urs, Seddon, Jon, Haarsma, Rein, Schär, Christoph, Buonomo, Erasmo, Christensen, Ole B., Ciarlo ̀, James M., Fealy, Rowan, Nikulin, Grigory, Peano, Daniele, Putrasahan, Dian, Roberts, Christopher D., Senan, Retish, Steger, Christian, Teichmann, Claas and Vautard, Robert
(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).
Geoscientific Model Development, 13 (11).
pp. 5485-5506.
ISSN 1991-9603
Abstract
In this study, we evaluate a set of high-resolution
(25–50 km horizontal grid spacing) global climate models
(GCMs) from the High-Resolution Model Intercomparison
Project (HighResMIP), developed as part of the EU-funded
PRIMAVERA (Process-based climate simulation: Advances
in high resolution modelling and European climate risk assessment) project, and from the EURO-CORDEX (Coordinated Regional Climate Downscaling Experiment) regional
climate models (RCMs) (12–50 km horizontal grid spacing)
over a European domain. It is the first time that an assessment of regional climate information using ensembles of both GCMs and RCMs at similar horizontal resolutions has
been possible. The focus of the evaluation is on the distribution of daily precipitation at a 50 km scale under current climate conditions. Both the GCM and RCM ensembles are evaluated against high-quality gridded observations
in terms of spatial resolution and station density. We show
that both ensembles outperform GCMs from the 5th Coupled
Model Intercomparison Project (CMIP5), which cannot capture the regional-scale precipitation distribution properly because of their coarse resolutions. PRIMAVERA GCMs generally simulate precipitation distributions within the range of EURO-CORDEX RCMs. Both ensembles perform better in summer and autumn in most European regions but
Published by Copernicus Publications on behalf of the European Geosciences Union.
5486 M.-E. Demory et al.: European daily precipitation in EURO-CORDEX RCMs and HighResMIP GCMs
tend to overestimate precipitation in winter and spring. PRIMAVERA shows improvements in the latter by reducing
moderate-precipitation rate biases over central and western
Europe. The spatial distribution of mean precipitation is also improved in PRIMAVERA. Finally, heavy precipitation simulated by PRIMAVERA agrees better with observations in
most regions and seasons, while CORDEX overestimates
precipitation extremes. However, uncertainty exists in the observations due to a potential under catch error, especially during heavy-precipitation events.
The analyses also confirm previous findings that, although
the spatial representation of precipitation is improved, the effect of increasing resolution from 50 to 12 km horizontal grid spacing in EURO-CORDEX daily precipitation distributions is, in comparison, small in most regions and seasons outside mountainous regions and coastal regions. Our results show that both high-resolution GCMs and CORDEX RCMs provide adequate information to end users at a 50 km scale
Item Type: |
Article
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Additional Information: |
Cite as: Demory, Marie-Estelle, et al. "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)." Geoscientific Model Development, vol. 13, no. 11, 11 Nov. 2020, p. 5485. Gale Academic OneFile, link.gale.com/apps/doc/A641242036/AONE?u=nuim&sid=summon&xid=dc867bde. Accessed 31 Mar. 2022. |
Keywords: |
global climate models; PRIMAVERA; Model Intercomparison Project |
Academic Unit: |
Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG Faculty of Social Sciences > Geography Faculty of Social Sciences > Research Institutes > Irish Climate Analysis and Research Units, ICARUS Faculty of Social Sciences > Research Institutes > Maynooth University Social Sciences Institute, MUSSI |
Item ID: |
15761 |
Identification Number: |
10.5194/gmd-13-5485-2020 |
Depositing User: |
Rowan Fealy
|
Date Deposited: |
31 Mar 2022 11:41 |
Journal or Publication Title: |
Geoscientific Model Development |
Publisher: |
Copernicus Publications |
Refereed: |
Yes |
Related URLs: |
|
URI: |
https://mu.eprints-hosting.org/id/eprint/15761 |
Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here
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