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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
26,690 datasets
2022 aggregated survey responses from nearly 200 countries and territories explore public climate change knowledge, attitudes, policy preferences, and behaviors. The dataset provides country-level data from a survey conducted by Meta in partnership with Yale. The aggregated results from the 2023 survey are also available.
Dekadal rainfall indicators for Eswatini aggregated by subnational administrative units, produced by the World Food Programme using CHIRPS v2 and CHIRPS-GEFS data. It tracks 10-day, 1-month, and 3-month precipitation metrics and anomalies, with updates occurring six times per month to reflect the latest forecasts and observations.
39.9 KB of numerical source data underlying graphs and charts for a study on climate-induced phenological mismatches. Mengchao Fang published this dataset on figshare under a CC-BY-4.0 license. The data was last updated on May 5, 2026.
WFP provides dekadal rainfall indicators for Sao Tome and Principe aggregated by subnational administrative units. The data integrates CHIRPS v2 satellite imagery with CHIRPS-GEFS forecasts to provide 10-day, 1-month, and 3-month precipitation metrics and anomalies.
Mali subnational rainfall indicators provided by the World Food Programme (WFP) based on CHIRPS satellite imagery and CHIRPS-GEFS forecasts. The data is aggregated into 10-day (dekadal) intervals and includes historical averages and anomalies for monitoring drought or flood conditions. It covers administrative units identified by standardized Pcode references.
Giving access to dekadal rainfall indicators for Peru's subnational administrative units, produced by the World Food Programme using CHIRPS satellite imagery and CHIRPS-GEFS forecasts. It tracks 10-day, 1-month, and 3-month precipitation totals alongside long-term averages and anomalies, with updates occurring up to six times per month. The data transitions from predictive forecasts to finalized observations to support continuous climate monitoring.
The World Food Programme (WFP) provides dekadal rainfall indicators for Martinique's subnational units based on CHIRPS v2 satellite imagery and CHIRPS-GEFS forecasts. The data includes 10-day, 1-month, and 3-month aggregations alongside long-term averages and anomaly percentages. Updates occur up to six times per month to transition from forecasts to final observations.
Dekadal rainfall indicators for Greece aggregated by subnational administrative units, derived from CHIRPS satellite imagery and CHIRPS-GEFS forecasts. Produced by the World Food Programme, the data tracks 10-day, 1-month, and 3-month rainfall totals alongside long-term averages and anomalies as of March 2026.
WFP provides dekadal rainfall indicators for Kenya's subnational administrative units derived from CHIRPS v2 satellite imagery and CHIRPS-GEFS forecasts. The data includes 10-day, 1-month, and 3-month rainfall totals and anomalies updated six times per month. Records are current as of March 2026.
Delivering dekadal rainfall indicators for South Sudan aggregated by subnational administrative units, produced by the World Food Programme using CHIRPS v2 and CHIRPS-GEFS data. It tracks 10-day, 1-month, and 3-month rainfall measurements alongside long-term averages and anomalies.
Madagascar subnational rainfall indicators provided by the World Food Programme (WFP) utilize CHIRPS satellite imagery and CHIRPS-GEFS forecasts. The data tracks dekadal (10-day) precipitation, long-term averages, and anomalies across administrative units identified by Pcodes. Updates occur multiple times per month to transition from short-term forecasts to final validated observations.
North Macedonia subnational rainfall indicators provided by the World Food Programme, derived from CHIRPS v2 satellite imagery and CHIRPS-GEFS forecasts. The data is organized by dekads (10-day periods) and aggregated to administrative units using WFP Pcode references. It tracks 10-day, 1-month, and 3-month rainfall totals alongside long-term averages and anomalies.
Uzbekistan subnational rainfall data provided by the World Food Programme features dekadal indicators derived from CHIRPS satellite imagery and GEFS forecasts. The data includes historical averages and anomalies aggregated by administrative units using WFP Pcodes.
WFP provides dekadal rainfall indicators for Guinea-Bissau aggregated by subnational administrative units using CHIRPS v2 satellite imagery and CHIRPS-GEFS forecasts. The data includes 10-day, 1-month, and 3-month rainfall totals, long-term averages, and percentage anomalies.
A source of dekadal rainfall indicators for Malaysia aggregated by subnational administrative units, produced by the World Food Programme using CHIRPS v2 and CHIRPS-GEFS imagery. It includes 10-day, 1-month, and 3-month rainfall totals, long-term averages, and anomalies updated multiple times per month. The data covers administrative regions identified by standardized Pcode references.
The World Food Programme provides dekadal rainfall indicators for Iraq's subnational administrative units derived from CHIRPS v2 satellite imagery and CHIRPS-GEFS forecasts. The data tracks 10-day, 1-month, and 3-month precipitation totals alongside long-term averages and percentage anomalies. Updates occur six times per month to transition from initial forecasts to final validated observations.
A source of dekadal rainfall indicators for Kyrgyzstan aggregated by subnational administrative units, produced by the World Food Programme. It combines CHIRPS v2 satellite-station data with CHIRPS-GEFS forecasts to track precipitation across 10-day intervals. The records include historical averages and anomalies updated six times per month to support near-real-time monitoring.
A source of dekadal rainfall indicators for Niger's subnational administrative units, produced by the World Food Programme using CHIRPS satellite imagery and CHIRPS-GEFS forecasts. It tracks 10-day, 1-month, and 3-month rainfall aggregations alongside long-term averages and percentage anomalies. Data is updated multiple times per month to transition from initial forecasts to final observations.
WFP provides dekadal rainfall indicators for the Philippines aggregated by subnational administrative units using CHIRPS v2 satellite imagery and CHIRPS-GEFS forecasts. The data includes 10-day, 1-month, and 3-month rainfall totals, averages, and anomalies updated as recently as March 2026.
Malawi subnational rainfall indicators provided by the World Food Programme (WFP) based on CHIRPS satellite imagery and GEFS forecasts. The data covers 10-day, 1-month, and 3-month intervals, including long-term averages and anomaly percentages for each administrative unit. Updates occur six times per month to transition from forecasts to final observations.