TY  - JOUR
A1  - Sørland, Silje Lund
A1  - Brogli, Roman Andrea
A1  - Pothapakula, Praveen Kumar
A1  - Russo, Emmanuele
A1  - Walle, Jonas van de
A1  - Ahrens, Bodo
A1  - Anders, Ivonne
A1  - Bucchignani, Edoardo
A1  - Davin, Edouard L.
A1  - Demory, Marie-Estelle
A1  - Dosio, Alessandro
A1  - Feldmann, Hendrik
A1  - Früh, Barbara
A1  - Geyer, Beate
A1  - Keuler, Klaus
A1  - Lee, Donghyun
A1  - Li, Delei
A1  - Lipzig, Nicole P. M. van
A1  - Min, Seung-Ki
A1  - Panitz, Hans-Jürgen
A1  - Rockel, Burkhardt
A1  - Schär, Christoph Joseph
A1  - Steger, Christian
A1  - Thiery, Wim
T1  - COSMO-CLM regional climate simulations in the Coordinated
Regional Climate Downscaling Experiment (CORDEX)
framework: a review
T2  - Geoscientific model development
N2  - In the last decade, the Climate Limited-area Modeling Community (CLM-Community) has contributed to the Coordinated Regional Climate Downscaling Experiment (CORDEX) with an extensive set of regional climate simulations. Using several versions of the COSMO-CLM-Community model, ERA-Interim reanalysis and eight global climate models from phase 5 of the Coupled Model Intercomparison Project (CMIP5) were dynamically downscaled with horizontal grid spacings of 0.44∘ (∼ 50 km), 0.22∘ (∼ 25 km), and 0.11∘ (∼ 12 km) over the CORDEX domains Europe, South Asia, East Asia, Australasia, and Africa. This major effort resulted in 80 regional climate simulations publicly available through the Earth System Grid Federation (ESGF) web portals for use in impact studies and climate scenario assessments. Here we review the production of these simulations and assess their results in terms of mean near-surface temperature and precipitation to aid the future design of the COSMO-CLM model simulations. It is found that a domain-specific parameter tuning is beneficial, while increasing horizontal model resolution (from 50 to 25 or 12 km grid spacing) alone does not always improve the performance of the simulation. Moreover, the COSMO-CLM performance depends on the driving data. This is generally more important than the dependence on horizontal resolution, model version, and configuration. Our results emphasize the importance of performing regional climate projections in a coordinated way, where guidance from both the global (GCM) and regional (RCM) climate modeling communities is needed to increase the reliability of the GCM–RCM modeling chain.
Y1  - 2021
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/62751
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-627513
SN  - 1991-9603
N1  - This research has been supported by the Korea Meteorological Administration Research and Development Program (grant no. KMI2020-01413).
VL  - 14
IS  - 8
SP  - 5125
EP  - 5154
PB  - Copernicus
CY  - Katlenburg-Lindau
ER  -