Submitted as: model evaluation paper 05 Mar 2020
Submitted as: model evaluation paper | 05 Mar 2020
Evaluation of regional climate models ALARO-0 and REMO2015 at 0.22° resolution over the CORDEX Central Asia domain
- 1Department of Geography, Ghent University (UGent), Ghent, 9000, Belgium
- 2Department of Physics and Astronomy, Ghent University (UGent), Ghent, 9000, Belgium
- 3Climate Service Center Germany (GERICS), Helmholtz Zentrum Geesthacht, Hamburg, 20095, Germany
- 4Royal Meteorological Institute of Belgium (RMIB), Brussels,1180, Belgium
- 5Latvian Environment, Geology and Meteorology Centre (LEGMC), Riga, LV - 1019, Latvia
- 6Nansen International Environmental and Remote Sensing Centre (NIERSC), St. Petersburg, 199034, Russia
- 7Flemish Institute for Technological Research (VITO), Mol, 2400, Belgium
- 8Department of Earth and Environmental Sciences, Faculty of BioScience Engineering, Heverlee, 3001, Belgium
- 9Iskenderun Technical University, Iskenderun, 31200, Turkey
- 1Department of Geography, Ghent University (UGent), Ghent, 9000, Belgium
- 2Department of Physics and Astronomy, Ghent University (UGent), Ghent, 9000, Belgium
- 3Climate Service Center Germany (GERICS), Helmholtz Zentrum Geesthacht, Hamburg, 20095, Germany
- 4Royal Meteorological Institute of Belgium (RMIB), Brussels,1180, Belgium
- 5Latvian Environment, Geology and Meteorology Centre (LEGMC), Riga, LV - 1019, Latvia
- 6Nansen International Environmental and Remote Sensing Centre (NIERSC), St. Petersburg, 199034, Russia
- 7Flemish Institute for Technological Research (VITO), Mol, 2400, Belgium
- 8Department of Earth and Environmental Sciences, Faculty of BioScience Engineering, Heverlee, 3001, Belgium
- 9Iskenderun Technical University, Iskenderun, 31200, Turkey
Abstract. To allow for climate impact studies on human and natural systems high-resolution climate information is needed. Over some parts of the world plenty of regional climate simulations have been carried out, while in other regions hardly any high-resolution climate information is available. This publication aims at addressing one of these regional gaps by presenting an evaluation study for two regional climate models (RCMs) (REMO and ALARO-0) at a horizontal resolution of 0.22° (25 km) over Central Asia. The output of the ERA-Interim driven RCMs is compared with different observational datasets over the 1980–2017 period. The choice of the observational dataset has an impact on the scores but in general one can conclude that both models reproduce reasonably well the spatial patterns for temperature and precipitation. The evaluation of minimum and maximum temperature demonstrates that both models underestimate the daily temperature range. More detailed studies of the annual cycle over subregions should be carried out to reveal whether this is due to an incorrect simulation in cloud cover, atmospheric circulation or heat and moisture fluxes. In general, the REMO model scores better for temperature whereas the ALARO-0 model prevails for precipitation. This publication demonstrates that the REMO and ALARO-0 RCMs can be used to perform climate projections over Central Asia and that the produced climate data can be applied in impact modelling.
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Sara Top et al.


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RC1: 'Evaluation of regional climate models ALARO-0 and REMO2015 at 0.22° resolution over the CORDEX Central Asia domain', Anonymous Referee #1, 20 Mar 2020
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AC1: 'Response to referee 1', Sara Top, 30 May 2020
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AC1: 'Response to referee 1', Sara Top, 30 May 2020
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RC2: 'Review Top et al. 2020', Anonymous Referee #2, 21 Apr 2020
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AC2: 'Response to referee 2', Sara Top, 30 May 2020
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AC2: 'Response to referee 2', Sara Top, 30 May 2020
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RC3: 'Review on the manuscript', Anonymous Referee #3, 26 Apr 2020
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AC3: 'Response to referee 3', Sara Top, 30 May 2020
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AC3: 'Response to referee 3', Sara Top, 30 May 2020
Sara Top et al.
Executable research compendia (ERC)
R code validation analysis ALARO-0 and REMO2015 climate data Central Asia Top et al. 2020 S. Top, L. Kotova, L. De Cruz, S. Aniskevich, L. Bobylev, R. De Troch, N. Gnatiuk, A. Gobin, R. Hamdi, A. Kriegsmann, A. R. Remedio, A. Sakalli, H. Van De Vyver, B. Van Schaeybroeck, V. Zandersons, P. De Maeyer, P. Termonia, and S. Caluwaerts https://doi.org/10.5281/zenodo.3659717
Sara Top et al.
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