five

County and ZCTA-Aggregated U.S. gridMET variables

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DataCite Commons2025-05-14 更新2025-05-17 收录
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/3PP3ZE
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资源简介:
<b>Dataset Description</b> <br> <br> This dataset contains aggregated meteorological variables for U.S. counties and ZIP Code Tabulation Areas (ZCTAs) derived from the gridMET dataset. The gridMET product combines high-resolution spatial climate data (e.g., temperature, precipitation, humidity) from the PRISM Climate Group with daily temporal attributes and additional meteorological variables from the NLDAS-2 regional reanalysis dataset. The final product includes daily meteorological data at approximately 4km x 4km spatial resolution across the contiguous United States. This dataset has been processed to provide spatial (ZCTA, County) and temporal (daily, yearly) aggregations for broader climate analysis. <br> This dataset was created to support climate and public health research by providing ready-to-use, high-resolution meteorological data aggregated at county and ZCTA levels. This allows for efficient linking with health and socio-demographic data to explore the impacts of climate on public health. <br> <br> <b>Contributors:</b> Harvard T.H. Chan School of Public Health, NSAPH (National Studies on Air Pollution and Health) <br> <br> The data is organized by geographic unit (County and ZCTA) and temporal scale (daily, yearly). <br> <br> The dataset is structured to facilitate the computation of climate exposure variables for health impact studies. <br> <br> A data processing pipeline was used to generate this dataset.
提供机构:
Harvard Dataverse
创建时间:
2025-04-11
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