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A unified dataset for pre-processed climate indicators weighted by gridded economic activity
Marco Gortan1, Lorenzo Testa2,3, Giorgio Fagiolo4
1School of Finance, University of St. Gallen, St. Gallen, Switzerland.
Scientific Data
|May 24, 2024
Summary
This study provides globally aggregated climate data for countries and regions, weighted by economic activity indicators. This new dataset supports environmental and economic research by offering tailored climate insights.
Area of Science:
- Environmental Science
- Climate Science
- Economic Research
Background:
- High-resolution gridded climate data are available but often lack country/region specificity.
- Environmental and economic research increasingly requires climate data linked to economic activity indicators.
Purpose of the Study:
- To develop a globally comprehensive dataset of country- and region-specific climate indicators.
- To weight climate data by proxies of economic activity for enhanced research utility.
Main Methods:
- Processed diverse climate data sources for global coverage at GADM0 (country) and GADM1 (region) resolutions.
- Aggregated climate variables (precipitation, temperature, SPEI) using population density, night-time lights, cropland, and population as economic proxies.
- Implemented a unified framework for data preprocessing and validated against leading climate impact studies.
Main Results:
- Generated spatially aggregated climate data for countries and regions worldwide.
- Incorporated economic activity weighting into climate variable aggregation.
- Provided daily, monthly, and annual climate data spanning from 1900 to 2023.
Conclusions:
- The developed dataset addresses the growing need for economically weighted, spatially specific climate information.
- This resource facilitates more accurate environmental and economic impact assessments.
- The unified processing pipeline ensures data consistency and reliability for research applications.
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