Articles | Volume 27, issue 7
https://doi.org/10.5194/hess-27-1583-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-1583-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Apr 2023
Research article |
| 17 Apr 2023
| 17 Apr 2023
Improving regional climate simulations based on a hybrid data assimilation and machine learning method
Xinlei He
State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, China
Yanping Li
School of Environment and Sustainability, University of Saskatchewan, Saskatoon, SK, Canada
Shaomin Liu
CORRESPONDING AUTHOR
State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, China
Tongren Xu
State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, China
Fei Chen
National Center for Atmospheric Research, Boulder, CO, USA
Zhenhua Li
School of Environment and Sustainability, University of Saskatchewan, Saskatoon, SK, Canada
Zhe Zhang
School of Environment and Sustainability, University of Saskatchewan, Saskatoon, SK, Canada
Rui Liu
Institute of Urban Study, School of Environmental and Geographical
Sciences (SEGS), Shanghai Normal University, Shanghai, China
Lisheng Song
School of Geography and Tourism, Anhui Normal University, Wuhu, China
Ziwei Xu
CORRESPONDING AUTHOR
State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, China
Zhixing Peng
State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, China
Chen Zheng
Institute of Geographic Sciences and Natural Resources Research,
Chinese Academy of Sciences, Beijing, China
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This article examines future changes in land cover and hydrological cycling across the interior of western Canada under climate conditions projected for the 21st century. Key insights into the mechanisms and interactions of Earth system and hydrological process responses are presented, and this understanding is used together with model application to provide a synthesis of future change. This has allowed more scientifically informed projections than have hitherto been available.
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Short summary
This study highlights the role of integrating vegetation and multi-source soil moisture observations in regional climate models via a hybrid data assimilation and machine learning method. In particular, we show that this approach can improve land surface fluxes, near-surface atmospheric conditions, and land–atmosphere interactions by implementing detailed land characterization information in basins with complex underlying surfaces.
This study highlights the role of integrating vegetation and multi-source soil moisture...
