A water-energy balance approach for multi-category drought assessment across globally diverse hydrological basins
A water-energy balance approach for multi-category drought assessment across globally diverse hydrological basins
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全球多样化水文流域多类别干旱评估的水-能量平衡方法
DOI:
10.1016/j.agrformet.2018.10.010
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发表时间:
2019-01
影响因子:
6.2
通讯作者:
Guangqian Wang
中科院分区:
文献类型:
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作者:
Baoqing Zhang;Amir AghaKouchak;Yuting Yang;Jiahua Wei;Guangqian Wang
Different categories of droughts (eg, meteorological, agricultural, hydrological), and their multi-scalar features often make description of drought onset, persistence, and termination challenging and often subjective. Here we show that a water-energy balance based indicator, named Standardized Moisture Anomaly Index (SZI), better captures multiple categories of droughts and their multi-scalar features. We globally evaluate and compare the performance of SZI with existing drought indicators that use potential evapotranspiration (PET) as a measure of atmospheric water demand including the Standardized Precipitation Evapotranspiration Index (SPEI) and self-calibrated Palmer Drought Severity Index (scPDSI). We show that while PET is a good indicator for characterizing the climate aridity, using it as a measure of atmospheric water demand for drought analysis leads to misrepresentation of droughts, especially over water-limited (non-humid) regions where the actual evapotranspiration is primarily dominated by water availability rather than energy (or PET). The main advantage of SZI is that, instead of PET, it uses a variable termed climatically appropriate precipitation for existing conditions (P ˆ) as the atmospheric water demand metric. Investigating droughts over 32 large basins across the globe, we show that the SZI can better represent meteorological, hydrological, and agricultural droughts compared to SPEI (especially in non-humid basins; 18 out of 32 basins) and scPDSI at multiple time scales. Given that SZI is physically more reasonable in reflecting surface water-energy balance over both humid and non-humid regions, it enables better characterization of different types of droughts in different climatic regions.
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DOI:
--
发表时间:
2017
期刊:
--
影响因子:
--
作者:
Q. Mu;Maosheng Zhao;J. Kimball
通讯作者:
Q. Mu;Maosheng Zhao;J. Kimball
影响因子:
6.4
作者:
Liu, Wenbin;Wang, Lei;Sang, Yan-Fang
通讯作者:
Sang, Yan-Fang
影响因子:
5.4
作者:
Liu;Meixian;Xu;Xianli;Xu;Chaohao;Sun;Alex;er Y.;Wang;Kelin;Scanlon;Bridget R.;Zhang;Lu;Liu Meixian;Xu Xianli;Xu Chaohao;Sun Alex;er Y.;Wang Kelin;Scanlon Bridget R.;Zhang Lu
通讯作者:
Zhang Lu
影响因子:
3.8
作者:
J. Otkin;Martha C. Anderson;C. Hain;I. Mladenova;J. Basara;M. Svoboda
通讯作者:
J. Otkin;Martha C. Anderson;C. Hain;I. Mladenova;J. Basara;M. Svoboda
影响因子:
6.7
作者:
T. Mckee;N. Doesken;J. Kleist
通讯作者:
T. Mckee;N. Doesken;J. Kleist