Mid-resolution regional terrestrial water storage simulation using WRF over Central Asia

ABSTRACT Central Asia (CA) is one of the most arid regions with serious water shortages. To understand the impacts of climate change on the regional water storage in CA, we introduce the terrestrial water storage (TWS) as a comprehensive water resource indicator and evaluate its spatial -temporal variation by regional coupled simulation. In this study, the performance of the Weather Research Forecasting (WRF) model in TWS simulation is evaluated. To consider the uncertainties and study the sensitivity of TWS to model schemes, two microphysics, two planetary boundary layers, and three cumulus schemes are combined in the numerical experiments at 25 km horizontal resolution. The results show that the modeled TWS by WRF agrees well with the satellite-based TWS in high correlation and consistent trends. The simulated TWS has larger variability than that of the satellite-based TWS, but a weaker decreasing trend due to lack of human activities consideration. Overall, the modeled TWS is mainly influenced by the precipitation and soil moisture, and insensitive to the physical schemes on monthly scale in CA. This can serve as a basic tool for water resource assessment in CA by the stable model performance, especially after the consideration of human activities in the future.

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Publication Details

Journal
Journal of Water and Climate Change
Published
2024-12-26
DOI
https://doi.org/10.2166/wcc.2024.670
Citations
1
Primary Topic
Tropical and Extratropical Cyclones Research
Type
article
Field-Weighted Citation Impact
0.38

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article

Mid-resolution regional terrestrial water storage simulation using WRF over Central Asia

Zhongwei Yan, Xingcan Jia, Mehdi Vafakhah, Yongli Wang et al.
1 citations
Journal of Water and Climate Change
Tropical and Extratropical Cyclones Research
0.38
article

Mid-resolution regional terrestrial water storage simulation using WRF over Central Asia

Zhongwei Yan, Xingcan Jia, Mehdi Vafakhah, Yongli Wang, Jinming Feng, Ziyan Zheng
article en
1 citations

Abstract

ABSTRACT Central Asia (CA) is one of the most arid regions with serious water shortages. To understand the impacts of climate change on the regional water storage in CA, we introduce the terrestrial water storage (TWS) as a comprehensive water resource indicator and evaluate its spatial -temporal variation by regional coupled simulation. In this study, the performance of the Weather Research Forecasting (WRF) model in TWS simulation is evaluated. To consider the uncertainties and study the sensitivity of TWS to model schemes, two microphysics, two planetary boundary layers, and three cumulus schemes are combined in the numerical experiments at 25 km horizontal resolution. The results show that the modeled TWS by WRF agrees well with the satellite-based TWS in high correlation and consistent trends. The simulated TWS has larger variability than that of the satellite-based TWS, but a weaker decreasing trend due to lack of human activities consideration. Overall, the modeled TWS is mainly influenced by the precipitation and soil moisture, and insensitive to the physical schemes on monthly scale in CA. This can serve as a basic tool for water resource assessment in CA by the stable model performance, especially after the consideration of human activities in the future.

Journal of Water and Climate ChangeVol. 16(1)
China Meteorological Administration (CN), Tarbiat Modares University (IR), Chinese Academy of Sciences (CN), National Institute of Hospital Administration (CN), Institute of Atmospheric Physics (CN), University of Chinese Academy of Sciences (CN)
National Science Foundation, National Natural Science Foundation of China, Chinese Academy of Sciences, Iran National Science Foundation, European Centre for Medium-Range Weather Forecasts, Department of Mechanical Engineering, University of Texas at Austin, EarthLab, University of Washington
Clean water and sanitation
Openalex Percentile: Top 37%
Tropical and Extratropical Cyclones Research
0.38
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