A Framework for Global Multicategory and Multiscalar Drought Characterization Accounting for Snow Processes

被引:44
作者
Zhang, Baoqing [1 ,2 ]
Xia, Youlong [3 ]
Huning, Laurie S. [4 ]
Wei, Jiahua [2 ]
Wang, Guangqian [2 ]
AghaKouchak, Amir [4 ,5 ]
机构
[1] Lanzhou Univ, Coll Earth & Environm Sci, Key Lab Western Chinas Environm Syst, Minist Educ, Lanzhou, Gansu, Peoples R China
[2] Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Engn, Beijing, Peoples R China
[3] Natl Ctr Environm Predict, Environm Modeling Ctr, IM Syst Grp, College Pk, MD USA
[4] Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA USA
[5] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA USA
基金
美国国家航空航天局; 中国国家自然科学基金; 国家重点研发计划; 美国海洋和大气管理局;
关键词
PRECIPITATION EVAPOTRANSPIRATION INDEX; LAND-SURFACE EVAPORATION; SOIL-MOISTURE; SEVERITY INDEX; WATER; CLIMATE; MODEL; SIMULATIONS; TEMPERATURE; SUMMER;
D O I
10.1029/2019WR025529
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Drought indices do not always provide the most relevant information for water resources management as most of them neglect the role of snow in the land surface water balance. In this study, a physically based drought index, the Standardized Moisture Anomaly Index (SZI), was modified and improved by incorporating the effects of snow dynamics for drought characterization at multiple time scales. The new version of the SZI, called SZI(snow), includes snow in both the water supply and demand in drought characterization by using the water-energy budgets from the Global Land Data Assimilation Systems product. We compared and evaluated the performance of SZI(snow) and SZI in drought identification globally across various time scales using observed multicategory drought evidences from several sources. Results show that the SZI(snow) agrees better with the observed changes in hydrological and agricultural droughts than the SZI, particularly over basins with high snow accumulation. Furthermore, the SZI(snow) is more consistent with the residual water-energy ratio than the SZI over snow-influenced regions. Overall, the SZI(snow) can be either a complement or an improvement over the SZI for identifying, monitoring, and characterizing hydrological and agricultural droughts at various scales (e.g., 1-48 months) over high-latitude and high-elevation regions that receive snow.
引用
收藏
页码:9258 / 9278
页数:21
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