Data Sets for: Quantifying the Impacts of Compound Extremes on Agriculture and Irrigation Water Demand
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https://purr.purdue.edu/publications/3508/1
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<p>Here, we combine a high-resolution weather product (PRISM) with fine-scale outputs of a hydrologic&nbsp;model (WBM) to construct functional indicators of compound hydroclimatic extremes for agriculture. Data for US counties for 1981-2015. The main variables are:&nbsp;degree days above 29C; degree days from 10C to 29C; seasonal mean volumetric&nbsp;soil moisture; seasonal mean soil moisture fraction; seasonal mean evapotranspiration; cumulative precipitation; corn irrigated area share; and metrics for the daily interaction of heat and soil moisture.&nbsp;</p>
本数据集涵盖1981—2015年美国县域农业领域热胁迫（heat stress）、水分胁迫（water stress）及复合极端事件（compound extremes）量化指标
提供机构：
Purdue University Research Repository
创建时间：
2020-06-05
