2023/45 | LEM Working Paper Series | ||||||||||||||||
A unified repository for pre-processed climate data weighted by gridded economic activity |
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Marco Gortan, Lorenzo Testa, Giorgio Fagiolo and Francesco Lamperti |
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Keywords | |||||||||||||||||
climate and weather data; spatial weighting; impact assessment; climate econometrics
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Abstract | |||||||||||||||||
Although high-resolution gridded climate variables are provided by
multiple sources, the need for country and region-specific climate
data weighted by indicators of economic activity is becoming
increasingly common in environmental and economic research. We process
available information from different climate data sources to provide
spatially aggregated data with global coverage for both countries
(GADM0 resolution) and regions (GADM1 resolution) and for a variety of
climate indicators (average precipitations, average temperatures,
average SPEI). We weigh gridded climate data by population density or
by night light intensity – both proxies of economic activity – before
aggregation. Climate variables are measured daily, monthly, and
annually, covering (depending on the data source) a time window from
1900 (at the earliest) to 2023. We pipeline all the preprocessing
procedures in a unified framework, which we share in the open-access
Weighted Climate Data Repository web app. Finally, we validate our
data through a systematic comparison with those employed in leading
climate impact studies.
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