Articles | Volume 14, issue 3
https://doi.org/10.5194/gmd-14-1267-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-14-1267-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
09 Mar 2021
Model evaluation paper |
| 09 Mar 2021
| 09 Mar 2021
Evaluation of regional climate models ALARO-0 and REMO2015 at 0.22° resolution over the CORDEX Central Asia domain
Department of Geography, Ghent University (UGent), 9000 Ghent,
Belgium
Department of Physics and Astronomy, Ghent University (UGent), 9000 Ghent, Belgium
Lola Kotova
Climate Service Center Germany (GERICS), Helmholtz Zentrum Geesthacht, 20095 Hamburg, Germany
Lesley De Cruz
Royal Meteorological Institute of Belgium (RMIB), 1180 Brussels,
Belgium
Svetlana Aniskevich
Latvian Environment, Geology and Meteorology Centre (LEGMC), LV – 1019 Riga, Latvia
Leonid Bobylev
Nansen International Environmental and Remote Sensing Centre (NIERSC), 199034 St. Petersburg, Russia
Rozemien De Troch
Royal Meteorological Institute of Belgium (RMIB), 1180 Brussels,
Belgium
Natalia Gnatiuk
Nansen International Environmental and Remote Sensing Centre (NIERSC), 199034 St. Petersburg, Russia
Anne Gobin
Remote Sensing Unit, Flemish Institute for Technological Research (VITO), 2400 Mol,
Belgium
Department of Earth and Environmental Sciences, Faculty of BioScience Engineering, 3001 Heverlee, Belgium
Rafiq Hamdi
Royal Meteorological Institute of Belgium (RMIB), 1180 Brussels,
Belgium
Arne Kriegsmann
Climate Service Center Germany (GERICS), Helmholtz Zentrum Geesthacht, 20095 Hamburg, Germany
Armelle Reca Remedio
Climate Service Center Germany (GERICS), Helmholtz Zentrum Geesthacht, 20095 Hamburg, Germany
Abdulla Sakalli
Climate Change Application and Research Center, Iskenderun Technical University, 31200 Iskenderun, Turkey
Hans Van De Vyver
Royal Meteorological Institute of Belgium (RMIB), 1180 Brussels,
Belgium
Bert Van Schaeybroeck
Royal Meteorological Institute of Belgium (RMIB), 1180 Brussels,
Belgium
Viesturs Zandersons
Latvian Environment, Geology and Meteorology Centre (LEGMC), LV – 1019 Riga, Latvia
Philippe De Maeyer
Department of Geography, Ghent University (UGent), 9000 Ghent,
Belgium
Piet Termonia
Department of Physics and Astronomy, Ghent University (UGent), 9000 Ghent, Belgium
Royal Meteorological Institute of Belgium (RMIB), 1180 Brussels,
Belgium
Steven Caluwaerts
Department of Physics and Astronomy, Ghent University (UGent), 9000 Ghent, Belgium
Royal Meteorological Institute of Belgium (RMIB), 1180 Brussels,
Belgium
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Jan De Pue, Sebastian Wieneke, Ana Bastos, José Miguel Barrios, Liyang Liu, Philippe Ciais, Alirio Arboleda, Rafiq Hamdi, Maral Maleki, Fabienne Maignan, Françoise Gellens-Meulenberghs, Ivan Janssens, and Manuela Balzarolo
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Jonathan Demaeyer, Jonas Bhend, Sebastian Lerch, Cristina Primo, Bert Van Schaeybroeck, Aitor Atencia, Zied Ben Bouallègue, Jieyu Chen, Markus Dabernig, Gavin Evans, Jana Faganeli Pucer, Ben Hooper, Nina Horat, David Jobst, Janko Merše, Peter Mlakar, Annette Möller, Olivier Mestre, Maxime Taillardat, and Stéphane Vannitsem
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Haiyang Shi, Geping Luo, Olaf Hellwich, Mingjuan Xie, Chen Zhang, Yu Zhang, Yuangang Wang, Xiuliang Yuan, Xiaofei Ma, Wenqiang Zhang, Alishir Kurban, Philippe De Maeyer, and Tim Van de Voorde
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Haiyang Shi, Geping Luo, Hongwei Zheng, Chunbo Chen, Olaf Hellwich, Jie Bai, Tie Liu, Shuang Liu, Jie Xue, Peng Cai, Huili He, Friday Uchenna Ochege, Tim Van de Voorde, and Philippe de Maeyer
Hydrol. Earth Syst. Sci., 25, 901–925, https://doi.org/10.5194/hess-25-901-2021, https://doi.org/10.5194/hess-25-901-2021, 2021
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Some river basins are considered to be very similar because they have a similar background such as a transboundary, facing threats of human activities. But we still lack understanding of differences under their general similarities. Therefore, we proposed a framework based on a Bayesian network to group watersheds based on similarity levels and compare the causal and systematic differences within the group. We applied it to the Amu and Syr Darya River basin and discussed its universality.
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Short summary
Detailed climate data are needed to assess the impact of climate change on human and natural systems. The 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. In certain subregions the produced climate data are suitable for impact studies, but bias adjustment is required for subregions where significant biases have been identified.
Detailed climate data are needed to assess the impact of climate change on human and natural...
Special issue