Precipitation Sensitivity to Soil Moisture Changes in Multiple Global Climate Models

Author:

Zou Xiao1,Wang Guojie2ORCID,Hagan Daniel Fiifi Tawia13ORCID,Li Shijie1ORCID,Wei Jiangfeng4ORCID,Lu Jiao5,Qiao Yumeng1,Zhu Chenxia1ORCID,Ullah Waheed16ORCID,Yeboah Emmanuel2ORCID

Affiliation:

1. School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China

2. School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China

3. Hydro-Climate Extremes Laboratory, Ghent University, 9000 Ghent, Belgium

4. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research Laboratory on Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing 210044, China

5. School of Atmospheric Science and Remote Sensing, Wuxi University, Wuxi 214105, China

6. Faculty of Defense and Security, Rabdan Academy, Abu Dhabi 114646, United Arab Emirates

Abstract

The ability of soil moisture (SM) to affect precipitation (P) is a vital part of the water-energy cycles. Accurately quantifying this coupling enhances the ability to predict hydroclimatic extremes like floods and droughts. In this study, the ability of soil moisture to affect precipitation (SM-P) is characterized by two parts: the influence of soil moisture on evapotranspiration (SM-ET), and the influence of evapotranspiration on precipitation (ET-P). We determined localized ET-P by incorporating the coupling between latent heat flux (LH) and LCL height, to optimize the estimation of the SM-P. This approach links SM more closely to P by considering the influence of surface fluxes. The results indicate that CMIP6 models exhibited the anticipated hotspot patterns for the three coupling metrics in transition regions. However, we observed that climate models generally exhibit weaker SM-P coupling compared to reanalysis models. Both SM-ET and SM-P showcase higher values wherein wet climate regions during dry years, and the converse occurs in dry regions. Due to sensitivity to climate change, the ET-P exhibits a more pronounced upward trend in the future. This study helps understand P’s response to SM shifts in climate models, crucial for predicting hydrological extremes and coupled global warming impact.

Funder

National Nature Science Foundation of China

Sino-German Cooperation Group Program

Publisher

MDPI AG

Subject

Atmospheric Science,Environmental Science (miscellaneous)

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