NASA GISS research models the effects of climate change on global food production using crop growth and emissions scenarios. The dataset is an update to a 1997 study, produced by A. Iglesias and C. Rosenzweig with maps from Columbia University CIESIN. It reports results by country, incorporating weighted site results and explicit adaptation considerations.
Use Cases
- Project national-level crop yield changes under SRES emissions scenarios using weighted model site results.
- Analyze the quantitative physiological effects of CO2 concentrations on crop yields.
- Compare rainfed versus irrigated production outcomes under consistent climate change scenarios.
- Study the spatial implications of climate change on crop production across 127 major agricultural sites.
Strengths
- Methodology validated for 127 sites in major world agricultural regions.
- Incorporates explicit adaptation considerations and reports results by country.
- Uses consistent crop simulation methodology and climate change scenarios from HadCM3 model output.
Limitations
- Underlying climate model data (HadCM3) and SRES scenarios are now superseded by newer CMIP generations.
- Sample data, row counts, and specific column details are unavailable for verification.
- The last updated date is anomalously far in the future (2080), indicating potential metadata error.
Provenance
- Source
- NASA Goddard Institute for Space Studies (GISS), with data by A. Iglesias and C. Rosenzweig and maps by Columbia University CIESIN.
- Collection Method
- Crop yield estimates generated using DSSAT dynamic process crop growth models, calibrated and validated at specific sites, and weighted by contribution to regional and national production.
- Time Range
- null
- Freshness
- null
- Geography
- Global, with modeling focused on major world agricultural regions.