DRAINMOD Predicted Impact of Climate Change on Hydrology, Corn Yield, and Drainage Design in the Western Lake Erie Basin, United States
Description
The data provided are the main data used in the analyses in this study. The dataset includes historical and future: 1. Weather parameters (temperature and precipitation): measured, downloaded from NOAA, downloaded from nearby weather stations, and downloaded from NASA NEX-GDDP 2. Evapotranspiration: predicted by DRAINMOD 3. Drainage discharge: predicted by DRAINMOD and measured 4. Water-table depth: Predicted by DRAINMOD and measured 5. Corn yield: Predicted by DRAINMOD and measured 6. Average annual return of investment: calculated based on DRAINMOD's output and gathered economic parameters 7. DRAINMOD model's calibration and validation Highlights: • DRAINMOD predicted free drainage for historical and future scenarios. • DRAINMOD predicted deeper water table and less drainage discharge in the future. • Higher drought stress is expected to reduce crop yields in the future. • Wider drain spacings are projected to be more profitable in the future.
Files
Institutions
- Michigan State University