Here, we combine a high-resolution weather product (PRISM) with fine-scale outputs of a hydrologic model (WBM) to construct functional indicators of compound hydroclimatic extremes for agriculture. Data for US counties for 1981-2015. The main variables are: degree days above 29C; degree days from 10C to 29C; seasonal mean volumetric 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.
Cite this work
Researchers should cite this work as follows:
- Haqiqi, I., Grogan, D., Hertel, T., Schlenker, W. (2020). Data Sets for: Quantifying the Impacts of Compound Extremes on Agriculture and Irrigation Water Demand. Purdue University Research Repository. doi:10.4231/0M14-EY38
First version. Data for US counties for 1981-2015.