Data for "Crop-specific exposure to extreme temperature and moisture for the globe for the last half century"
Dataset Description |
Global assessments of climate extremes typically do not account for the unique characteristics of individual crops. A consistent definition of the exposure of specific crops to extreme weather would enable agriculturally-relevant hazard quantification. We introduce the Agriculturally-Relevant Exposure to Shocks (ARES) model, a novel database of both the temperature and moisture extremes facing individual crops by explicitly accounting for crop characteristics. Specifically, we estimate crop-specific temperature and moisture shocks during the growing season for a 0.25-degree spatial grid and daily time scale from 1961-2014 globally for 17 crops. The resulting database presented here provides annual crop- and event-specific exposure rates. Both gridded and country-level exposure rates are provided for each of the 17 crops. Our results provide new insights into the changes in the magnitude as well as spatial and temporal distribution of extreme events that impact crops over the past half-century. For additional information, please see the related paper by Jackson et al. (2021) in Environmental Research Letters. |
Subject |
Physical Sciences |
Keywords |
Crop-specific; weather extremes; temperature; moisture; global; gridded; time series |
License |
CC BY |
Funder |
U.S. National Science Foundation (NSF)-Grant:EAR-1534544 |
Funder |
U.S. National Science Foundation (NSF)-Grant:ACI-1639529 |
Funder |
U.S. National Science Foundation (NSF)-Grant:CBET-1844773 |
Funder |
U.S. National Science Foundation (NSF)-Grant:DEB-1924309 |
Corresponding Creator |
Megan Konar |
Downloaded |
1024 times |
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| Version | DOI | Comment | Publication Date |
|---|---|---|---|
| 1 | 10.13012/B2IDB-5457902_V1 | 2021-04-29 |
Contact the Research Data Service for help interpreting this log.
| RelatedMaterial | create: {"material_type"=>"Preprint", "availability"=>nil, "link"=>"https://doi.org/10.31223/X5P66Z", "uri"=>"10.31223/X5P66Z", "uri_type"=>"DOI", "citation"=>"Daniel Patrick Bebber, Carole Dalin, Emma Littleton, Pete Falloon, Andrew Challinor, Steve McCorriston, Tim Lloyd, Matteo Zampieri. Global trade and the resilience of food supply to extreme weather exposure. EarthArXiv. doi: https://doi.org/10.31223/X5P66Z", "dataset_id"=>1852, "selected_type"=>"Other", "datacite_list"=>"IsCitedBy", "note"=>"This preprint cited the dataset", "feature"=>false} | 2023-09-05T20:31:06Z |