Articles | Volume 14, issue 8
Geosci. Model Dev., 14, 5125–5154, 2021
https://doi.org/10.5194/gmd-14-5125-2021
Geosci. Model Dev., 14, 5125–5154, 2021
https://doi.org/10.5194/gmd-14-5125-2021

Development and technical paper 17 Aug 2021

Development and technical paper | 17 Aug 2021

COSMO-CLM regional climate simulations in the Coordinated Regional Climate Downscaling Experiment (CORDEX) framework: a review

Silje Lund Sørland et al.

Data sets

A global monthly land surface air temperature analysis for 1948-present (https://psl.noaa.gov/data/gridded/data.ghcncams.html) Y. Fan and H. van den Dool https://doi.org/10.1029/2007JD008470

Climatic Research Unit (CRU): Time-series (TS) datasets of variations in climate with variations in other phenomena v3 (https://climatedataguide.ucar.edu/climate-data/cru-ts-gridded-precipitation-and-other-meteorological-variables-1901) University of East Anglia Climatic Research Unit, P. D. Jones, and I. C. Harris http://catalogue.ceda.ac.uk/uuid/3f8944800cc48e1cbc29a5ee12d8542d

GPCC Full Data Monthly Product Version 2018 at 0.25◦: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historical Data (https://www.dwd.de/EN/ourservices/gpcc/gpcc.html) U. Schneider, A. Becker, P. Finger, A. Meyer-Christoffer, and M. Ziese https://doi.org/10.5676/DWD_GPCC/FD_M_V2018_025

Assessing objective techniques for gauge-based analyses of global daily precipitation (https://climatedataguide.ucar.edu/climate-data/cpc-unified-gaugebased-analysis-global-daily-precipitation) M. Chen, W. Shi, P. Xie, V. B. Silva, V. E. Kousky, R. Wayne Higgins, and J. E. Janowiak https://doi.org/10.1029/2007JD009132

CORDEX-South Asia Multi Model Output Centre for Climate Change Research http://cccr.tropmet.res.in/home/ftp_data.jsp

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Short summary
We review the contribution from the CLM-Community to regional climate projections following the CORDEX framework over Europe, South Asia, East Asia, Australasia, and Africa. How the model configuration, horizontal and vertical resolutions, and choice of driving data influence the model results for the five domains is assessed, with the purpose of aiding the planning and design of regional climate simulations in the future.