Submitted as: model evaluation paper 05 Mar 2020

Submitted as: model evaluation paper | 05 Mar 2020

Review status: a revised version of this preprint is currently under review for the journal GMD.

Evaluation of regional climate models ALARO-0 and REMO2015 at 0.22° resolution over the CORDEX Central Asia domain

Sara Top1,2, Lola Kotova3, Lesley De Cruz4, Svetlana Aniskevich5, Leonid Bobylev6, Rozemien De Troch4, Natalia Gnatiuk6, Anne Gobin7,8, Rafiq Hamdi4, Arne Kriegsmann3, Armelle Reca Remedio3, Abdulla Sakalli9, Hans Van De Vyver4, Bert Van Schaeybroeck4, Viesturs Zandersons5, Philippe De Maeyer1, Piet Termonia2,4, and Steven Caluwaerts2 Sara Top et al.
  • 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.

Sara Top et al.

Status: final response (author comments only)
Status: final response (author comments only)
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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

Sara Top et al.


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Short summary
Detailed climate data is needed to assess the impact of climate change on human and natural systems. The model performance of two high resolution regional climate models, ALARO-0 and REMO2015, was investigated over Central Asia, a vulnerable region where detailed climate information is scarce. Both models are able to reproduce the observed spatial patterns for temperature and precipitation, making their produced climate data suitable for climate impact studies over the Central Asia region.