Published October 20, 2023 | Version v1

Data for "Early planting adaptation makes the coupled food-water system more sustainable under climate change"

  • 1. ROR icon NSF National Center for Atmospheric Research
  • 2. ROR icon University of Saskatchewan
  • 3. ROR icon Indian Institute of Science Education and Research Thiruvananthapuram
  • 4. ROR icon Arizona State University

Description

Data for submission "Early planting adaptation makes the coupled food-water system more sustainable under climate change"

All data are in netcdf format and can be read in ncl, python, R code capacity.

 

geo_em.d01.conus.corn:

Domain setup file for the Noah-MP crop model in the US corn belt. Lat/lon location specified by "XLAT_M" and "XLONG_M" variable and corn planting area specified by "CROPTYPE" variable.

 

Three zip files are uploaded containing data from model simulations and county-level yield and irrigation record:

Yield_data.zip:

yield data from model simulations (denoted by three scenarios, CTRL, PGW, TAVE), with irrigation (irr), and from USDA NASS (NASS).

Irrigation_data.zip:

Irrigation amount data from three scenarios (CTRL, PGW, TAVE for early planting), and from USGS water use record (2005 and 2010).

TempPrecPET.zip:

temperature and precipitation and potential evapotranspiration data (PET) for the CTRL and PGW climate scenarios. 

Files

Irrigation_data.zip

Files (2.1 GB)

Name Size
md5:32f3f48fa57110e55377f596cd0d718f
163.0 MB Download
md5:3874a153c47d97fedcaec7fb4291d3df
2.0 MB Preview Download
md5:b9a835d155b7f0d66dc2b7415ee629c3
1.9 GB Preview Download
md5:98bc6319c0edde4df5de2baee9c37b64
34.9 MB Preview Download