A CONUS-Wide Standardized Precipitation-Evapotranspiration Index for Major US Row Crops

被引:4
|
作者
Goble, Peter E. [1 ,2 ]
Bolinger, Rebecca A. [1 ,2 ]
Schumacher, Russ S. [1 ,2 ]
机构
[1] Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA
[2] Colorado Climate Ctr, Ft Collins, CO 80521 USA
基金
美国海洋和大气管理局;
关键词
Climate variability; Evapotranspiration; Hydrology; Hydrometeorology; DROUGHT SEVERITY INDEX; SOIL-MOISTURE; FLASH DROUGHTS; STRESS; VEGETATION; DEMAND; IMPACT; CORN;
D O I
10.1175/JHM-D-20-0270.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Agricultural droughts afflicting the contiguous United States (CONUS) are serious and costly natural hazards. Widespread damage to a single cash crop may be crippling to rural communities that produce it. While drought is insidious in nature, drought indices derived from meteorological data and drought impact reports both provide essential guidance to decision-makers about the location and intensity of developing and ongoing droughts. However, response to dry meteorological conditions is not consistent from one crop type to the next, making crop-specific drought appraisal difficult using weather data alone. Additionally, drought impact reports are often subjective, latent, or both. To rectify this, we developed drought indices using meteorological data, and phenological information for the row crops most commonly grown over CONUS: corn, soybeans, and winter wheat. These are referred to as crop-specific standardized precipitation-evapotranspiration indices (CSPEIs). CSPEIs correlate more closely with end-of-season yields than traditional meteorological indicators for the eastern two thirds of CONUS for corn, and offer an advantage in predicting winter wheat yields for the High Plains. CSPEIs do not always explain a higher fraction of variance than traditional meteorological indicators. In such cases, results provide insight on which meteorological indicators to use to most effectively supplement impacts information. SIGNIFICANCE STATEMENT: This manuscript is expected to advance the science of drought monitoring and appraisal over CONUS. Using gridded weather data and a novel framework for assessing meteorological conditions over major U.S. row crops, we gain an improved understanding of the conditions leading to most severe agricultural drought impacts.
引用
收藏
页码:3141 / 3158
页数:18
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