Abstract

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 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 undercatch 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.

Highlights

  • Climate models are essential tools to provide information on the evolution of climate quantities, their variability, and interactions with various components of the Earth system

  • We have considered high-resolution PRIMAVERA global climate models (GCMs) of HighResMIP (25–50 km horizontal grid spacing) and EURO-CORDEX regional climate models (RCMs) (12–50 km horizontal grid spacing) present-day simulations to evaluate the ability of these ensembles to represent daily precipitation distribution over Europe

  • This study is the first attempt to evaluate GCM and RCM ensembles provided at similar horizontal resolutions at the regional scale

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Summary

Introduction

Climate models are essential tools to provide information on the evolution of climate quantities, their variability, and interactions with various components of the Earth system They are designed to balance model resolution, physics complexity, and computational requirements. RCMs are complex models that dynamically downscale GCM results to obtain finer climate information for a particular region. (5) RCMs can downscale various GCMs to sample many different largescale climate conditions at the domain boundaries This ability to provide large ensembles is an important step to evaluate the RCM ensemble spread and better constrain modelling uncertainties. While high-resolution GCMs will present significant new opportunities, the ability to employ regionally specific parameterization schemes at ever higher spatial resolutions means that RCMs will remain essential tools to supplement global Earth system models

CORDEX RCMs
High-resolution GCMs
PRIMAVERA GCMs
CMIP5 GCMs
Observations
Domains
Description of precipitation distribution analysis
Sensitivity analyses
Results
Mean differences between EURO-CORDEX and PRIMAVERA ensembles
Daily precipitation distribution in CORDEX and PRIMAVERA ensembles
Sensitivity of results to significance thresholds
Sensitivity of results to the choice of EUR-44 or EUR-11
Observational uncertainty
Summary
Discussion
Opportunities for future coordination
Full Text
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