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Responses of Precipitation and Runoff to Climate Warming and Implications for Future Drought Changes in China

Authors :
Lei Gu
Jie Chen
Jiabo Yin
Chong‐Yu Xu
Jianzhong Zhou
Source :
Earth's Future, Vol 8, Iss 10, Pp n/a-n/a (2020)
Publication Year :
2020
Publisher :
Wiley, 2020.

Abstract

Abstract The Clausius‐Clapeyron relationship holds that the atmospheric water vapor content enhances with warming temperatures, suggesting intensifications of precipitable water and also altering runoff generation. Drought conditions are determined by variations in water fluxes such as precipitation and runoff, which tightly connect with temperature scaling characteristics. However, whether and how water fluxes' scaling with temperatures may affect the evolution of droughts under climate change has not yet been systematically investigated. This study develops a cascade modeling chain consisting of the climate model ensemble, bias correction technique, and hydrological models to investigate the precipitation and runoff scaling relationships with warming temperatures under the current (1961–2005) and future periods (2011–2055 and 2056–2100), as well as their implications on future drought changes across 151 catchments in China. The results show that (1) precipitation (runoff) scaling relationships with temperatures are stable during different time periods; (2) return level analysis indicates drought risks are projected to become (1–10 times) more severe across central and southern catchments, where the precipitation (runoff) strengthens with rising temperatures up to a peak point and then decline in a hotter environment. The northeastern and western catchments, where a monotonic increasing scaling type dominated, are accompanied by drought mitigations for two future periods; (3) future changes in hydrological droughts relative to the baseline are (1–5 times) larger than those in meteorological droughts. These results imply that changes in future drought risks are highly dependent on the present precipitation (runoff)‐temperature relationships, suggesting a meaningful implication of scaling types for future drought prediction.

Details

Language :
English
ISSN :
23284277
Volume :
8
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Earth's Future
Publication Type :
Academic Journal
Accession number :
edsdoj.9d82869b1bc4dba803719ebb26a0245
Document Type :
article
Full Text :
https://doi.org/10.1029/2020EF001718