Drought Monitoring for Washington State: Indicators and Applications
Author(s) -
Shraddhanand Shukla,
Anne Steinemann,
Dennis P. Lettenmaier
Publication year - 2010
Publication title -
journal of hydrometeorology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.733
H-Index - 123
eISSN - 1525-755X
pISSN - 1525-7541
DOI - 10.1175/2010jhm1307.1
Subject(s) - environmental science , surface runoff , snow , index (typography) , water content , percentile , precipitation , hydrology (agriculture) , moisture , climatology , climate forecast system , meteorology , geography , computer science , mathematics , engineering , statistics , world wide web , biology , ecology , geotechnical engineering , geology
A drought monitoring system (DMS) can help to detect and characterize drought conditions and reduce adverse drought impacts. The authors evaluate how a DMS for Washington State, based on a land surface model (LSM), would perform. The LSM represents current soil moisture (SM), snow water equivalent (SWE), and runoff over the state. The DMS incorporates the standardized precipitation index (SPI), standardized runoff index (SRI), and soil moisture percentile (SMP) taken from the LSM. Four historical drought events (1976–77, 1987–89, 2000–01, and 2004–05) are constructed using DMS indicators of SPI/SRI-3, SPI/SRI-6, SPI/SRI-12, SPI/SRI-24, SPI/SRI-36, and SMP, with monthly updates, in each of the state’s 62 Water Resource Inventory Areas (WRIAs). The authors also compare drought triggers based on DMS indicators with the evolution of drought conditions and management decisions during the four droughts. The results show that the DMS would have detected the onset and recovery of drought conditions, in m...
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