Published August 21, 2024 | Version 0.0.3
Dataset Open

Data Files for Climate-based Maize Loss Rate Simulations

Authors/Creators

  • 1. Eric and Wendy Schmidt Center for Data Science and Environment, University of California Berkeley
  • 2. Department of Agricultural Economics and Agribusiness, University of Arkansas, Fayetteville
  • 3. Department of Environmental Science, Policy & Management, University of California Berkeley

Description

This archive contains data files from an open source pipeline looking at how crop insurance rates may change in the future within the US Corn Belt using SCYM and CHC-CMIP6. These are available under a Creative Commons license. Unless otherwise specified, these report on SSP245.

See README for more details including column-level description of each resource. Funded by the Eric and Wendy Schmidt Center for Data Science and Environment at the University of California, Berkeley.

Files

README.md

Files (1.3 GB)

Name Size
md5:6af15f9642800623813a73b4780348af
387.8 MB Preview Download
md5:f03185a0199c94c1231ab748bc162858
389.0 MB Preview Download
md5:babd1246a698dd1abb1bf33dbb9b254e
384.9 MB Preview Download
md5:c513f08aa951a4f62e9a0d4040b35788
3.6 kB Preview Download
md5:0c54d1bdb26d733f1bc01608348145b2
15.6 MB Preview Download
md5:c5b6101c9d57f25c0e4f3a24a323b5c3
33.5 MB Preview Download
md5:14e82c11d7b5bb9fe0df2a9f4032f9af
14.4 kB Preview Download
md5:0f1376e039c1af3fe375df1d5f8cf29f
211.8 kB Preview Download
md5:1a3176bc0d1e1c16925b88f6981185fd
10.5 kB Preview Download
md5:2b63ef89c46426d5e72cfba99c5b4ec5
1.4 MB Preview Download
md5:f36f9db09cce1c78cd9737618f717150
123.1 MB Preview Download

Additional details

Related works

Is derived from
Software: 10.5281/zenodo.13356711 (DOI)
Is supplement to
Preprint: arXiv:2408.02217v1 (arXiv)

Dates

Available
2024-08-21
Release to Zenodo
Updated
2024-12-19
Updated to new sim structure
Updated
2024-12-20
Fix in export script

Software

Repository URL
https://github.com/SchmidtDSE/maize-loss-climate-experiment
Development Status
Active

References

  • D. B. Lobell, D. Thau, C. Seifert, E. Engle, and B. Little, "A scalable satellite-based crop yield mapper," Remote Sensing of Environment, vol. 164, pp. 324–333, Jul. 2015, doi: 10.1016/j.rse.2015.04.021.
  • E. Williams, C. Funk, P. Peterson, and C. Tuholske, "High resolution climate change observations and projections for the evaluation of heat-related extremes," Sci Data, vol. 11, no. 1, p. 261, Mar. 2024, doi: 10.1038/s41597-024-03074-w.
  • RMA (2024), "State/county/crop summary of business," https: //old.rma.usda.gov/en/Information-Tools/Summary-of-Business/State-County-Crop-Summary-of-Business.