Evaluation of regional climate models ALARO-0 and REMO2015 at 0.22 degrees resolution over the CORDEX Central Asia domain
- Author
- Sara Top (UGent) , Lola Kotova, Lesley De Cruz, Svetlana Aniskevich, Leonid Bobylev, Rozemien De Troch, Natalia Gnatiuk, Anne Gobin, Rafiq Hamdi, Arne Kriegsmann, Armelle Reca Remedio, Abdulla Sakalli, Hans Van de Vyver, Bert Van Schaeybroeck (UGent) , Viesturs Zandersons, Philippe De Maeyer (UGent) , Piet Termonia (UGent) and Steven Caluwaerts (UGent)
- Organization
- 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. The CORDEX Central Asia domain is one of these regions, and this article describes the evaluation for two regional climate models (RCMs), REMO and ALARO-0, that were run for the first time at a horizontal resolution of 0.22 degrees (25 km) over this region. The output of the ERA-Interim-driven RCMs is compared with different observational datasets over the 1980-2017 period. REMO scores better for temperature, whereas the ALARO-0 model prevails for precipitation. Studying specific subregions provides deeper insight into the strengths and weaknesses of both RCMs over the CAS-CORDEX domain. For example, ALARO-0 has difficulties in simulating the temperature over the northern part of the domain, particularly when snow cover is present, while REMO poorly simulates the annual cycle of precipitation over the Tibetan Plateau. The evaluation of minimum and maximum temperature demonstrates that both models underestimate the daily temper-ature range. This study aims to evaluate whether REMO and ALARO-0 provide reliable climate information over the CAS-CORDEX domain for impact modeling and environmental assessment applications. Depending on the evaluated season and variable, it is demonstrated that the produced climate data can be used in several subregions, e.g., temperature and precipitation over western Central Asia in autumn. At the same time, a bias adjustment is required for regions where significant biases have been identified.
- Keywords
- EURO-CORDEX, COSMO-CLM, PRECIPITATION CLIMATOLOGY, HISTORICAL CLIMATE, CHANGE PROJECTIONS, TEMPERATURE, PARAMETERIZATION, PERFORMANCE, ATMOSPHERE, ENSEMBLE
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8708702
- MLA
- Top, Sara, et al. “Evaluation of Regional Climate Models ALARO-0 and REMO2015 at 0.22 Degrees Resolution over the CORDEX Central Asia Domain.” GEOSCIENTIFIC MODEL DEVELOPMENT, vol. 14, no. 3, 2021, pp. 1267–93, doi:10.5194/gmd-14-1267-2021.
- APA
- Top, S., Kotova, L., De Cruz, L., Aniskevich, S., Bobylev, L., De Troch, R., … Caluwaerts, S. (2021). Evaluation of regional climate models ALARO-0 and REMO2015 at 0.22 degrees resolution over the CORDEX Central Asia domain. GEOSCIENTIFIC MODEL DEVELOPMENT, 14(3), 1267–1293. https://doi.org/10.5194/gmd-14-1267-2021
- Chicago author-date
- Top, Sara, Lola Kotova, Lesley De Cruz, Svetlana Aniskevich, Leonid Bobylev, Rozemien De Troch, Natalia Gnatiuk, et al. 2021. “Evaluation of Regional Climate Models ALARO-0 and REMO2015 at 0.22 Degrees Resolution over the CORDEX Central Asia Domain.” GEOSCIENTIFIC MODEL DEVELOPMENT 14 (3): 1267–93. https://doi.org/10.5194/gmd-14-1267-2021.
- Chicago author-date (all authors)
- Top, Sara, Lola Kotova, Lesley De Cruz, Svetlana Aniskevich, Leonid Bobylev, Rozemien De Troch, Natalia Gnatiuk, Anne Gobin, Rafiq Hamdi, Arne Kriegsmann, Armelle Reca Remedio, Abdulla Sakalli, Hans Van de Vyver, Bert Van Schaeybroeck, Viesturs Zandersons, Philippe De Maeyer, Piet Termonia, and Steven Caluwaerts. 2021. “Evaluation of Regional Climate Models ALARO-0 and REMO2015 at 0.22 Degrees Resolution over the CORDEX Central Asia Domain.” GEOSCIENTIFIC MODEL DEVELOPMENT 14 (3): 1267–1293. doi:10.5194/gmd-14-1267-2021.
- Vancouver
- 1.Top S, Kotova L, De Cruz L, Aniskevich S, Bobylev L, De Troch R, et al. Evaluation of regional climate models ALARO-0 and REMO2015 at 0.22 degrees resolution over the CORDEX Central Asia domain. GEOSCIENTIFIC MODEL DEVELOPMENT. 2021;14(3):1267–93.
- IEEE
- [1]S. Top et al., “Evaluation of regional climate models ALARO-0 and REMO2015 at 0.22 degrees resolution over the CORDEX Central Asia domain,” GEOSCIENTIFIC MODEL DEVELOPMENT, vol. 14, no. 3, pp. 1267–1293, 2021.
@article{8708702, 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. The CORDEX Central Asia domain is one of these regions, and this article describes the evaluation for two regional climate models (RCMs), REMO and ALARO-0, that were run for the first time at a horizontal resolution of 0.22 degrees (25 km) over this region. The output of the ERA-Interim-driven RCMs is compared with different observational datasets over the 1980-2017 period. REMO scores better for temperature, whereas the ALARO-0 model prevails for precipitation. Studying specific subregions provides deeper insight into the strengths and weaknesses of both RCMs over the CAS-CORDEX domain. For example, ALARO-0 has difficulties in simulating the temperature over the northern part of the domain, particularly when snow cover is present, while REMO poorly simulates the annual cycle of precipitation over the Tibetan Plateau. The evaluation of minimum and maximum temperature demonstrates that both models underestimate the daily temper-ature range. This study aims to evaluate whether REMO and ALARO-0 provide reliable climate information over the CAS-CORDEX domain for impact modeling and environmental assessment applications. Depending on the evaluated season and variable, it is demonstrated that the produced climate data can be used in several subregions, e.g., temperature and precipitation over western Central Asia in autumn. At the same time, a bias adjustment is required for regions where significant biases have been identified.}}, author = {{Top, Sara and Kotova, Lola and De Cruz, Lesley and Aniskevich, Svetlana and Bobylev, Leonid and De Troch, Rozemien and Gnatiuk, Natalia and Gobin, Anne and Hamdi, Rafiq and Kriegsmann, Arne and Remedio, Armelle Reca and Sakalli, Abdulla and Van de Vyver, Hans and Van Schaeybroeck, Bert and Zandersons, Viesturs and De Maeyer, Philippe and Termonia, Piet and Caluwaerts, Steven}}, issn = {{1991-959X}}, journal = {{GEOSCIENTIFIC MODEL DEVELOPMENT}}, keywords = {{EURO-CORDEX,COSMO-CLM,PRECIPITATION CLIMATOLOGY,HISTORICAL CLIMATE,CHANGE PROJECTIONS,TEMPERATURE,PARAMETERIZATION,PERFORMANCE,ATMOSPHERE,ENSEMBLE}}, language = {{eng}}, number = {{3}}, pages = {{1267--1293}}, title = {{Evaluation of regional climate models ALARO-0 and REMO2015 at 0.22 degrees resolution over the CORDEX Central Asia domain}}, url = {{http://doi.org/10.5194/gmd-14-1267-2021}}, volume = {{14}}, year = {{2021}}, }
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