{"requestId":"eb2c7667-dab3-4d79-ab0b-8d9bfbea5814","timestamp":1793113014741,"runtime":6,"status":200,"message":"OK","response":{"workspaceCode":"CHIRPS-V3","code":"EWX2-ANOMALY-GM","caption":"Precipitation anomaly (Global - Monthly - ~5 km) - CHIRPS v3","description":"Monthly precipitation anomaly from the Climate Hazards Center Infrared Precipitation with Stations (CHIRPS v3), which offers a quasi-global dataset from 1981 to near-present with a higher spatial resolution of approximately 5 km.\n\nThis dataset is initially populated with preliminary data, which is replaced by final data as soon as the latter becomes available. \nThe preliminary CHIRPS-V3 product incorporates rapidly updated station observations and is available 2 days after the end of a pentad. The CHIRPS-V3 final product blends in best available station inputs and is produced once a month, typically on the third week of the following month.","dimensions":["SHARED:MONTH"],"defaultStyleCode":"ANOMALY","extensions":[".tif"],"measureCaption":"Precipitation Anomaly","measureUnit":"mm","scale":1.0,"offset":0.0,"flags":null,"classes":null,"dimensionMembers":{"rules":[{"regex":"^CHIRPS-V3\\.EWX2-ANOMALY-GM\\.(\\d{4})-(\\d{2})\\.tif$","members":{"SHARED:MONTH":"$1-$2"}}],"lookUp":{}},"styleRules":null,"bigTiff":false,"tilesSize":256,"overviewsResamplingAlgorithm":"AVERAGE","translate":[{"subDataset":null,"band":null,"format":"GTiff","dataType":null,"noDataValue":"-9999","scale":null,"srs":null,"extent":null,"gridSubWindow":null,"srsSubWindow":null,"options":["COMPRESS=LZW","INTERLEAVE=BAND","TILED=YES"]}],"additionalInfo":{"Citation":"Climate Hazards Center Infrared Precipitation with Stations version 3. CHIRPS3 Data Repository https://doi.org/10.15780/G2JQ0P (2025). Data was accessed on [DATE]","DataLineage":"**CHIRPS v3 Updates:**\\n\\nUpdates to CHIRP\\n\\nWhile many studies have shown that CHIRPS v2 performs well, we have identified and addressed an important shortcoming in CHIRP, the satellite-estimated component of CHIRPS. The regression formula used in CHIRP version 2 provided reasonable estimates and represented mean rainfall very well, however, it had a tendency to underestimate temporal precipitation variance. The new CHIRP3 algorithm also estimates precipitation from geostationary satellite thermal infrared measurements of cold cloud duration (CCD), but version 3 performs better when it comes to estimating a wider range of precipitation values. This feature is especially useful for capturing high rainfall amounts of large, impactful, or out-of-season storms.\\n\\nMore information on updates to the CHIRPS v2 and on the station observations at https://www.chc.ucsb.edu/data/chirps3","OtherConstraints":"CHIRPS3 is in the public domain, as registered with Creative Commons, and is under a [Creative Commons Attribution 4.0 International License](http://creativecommons.org/licenses/by/4.0/). To the extent possible under the law, the Climate Hazards Center has waived all copyright and related or neighboring rights to CHIRPS3. This work is published from: the United States"},"tags":["ANOMALY","MONTHLY_DATA","PCP","PRECIPITATION"],"links":[{"rel":"parent","href":"https://data.apps.fao.org/gismgr/api/v2/catalog/workspaces/CHIRPS-V3/mapsets"},{"rel":"self","href":"https://data.apps.fao.org/gismgr/api/v2/catalog/workspaces/CHIRPS-V3/mapsets/EWX2-ANOMALY-GM"},{"rel":"statistics","href":"https://data.apps.fao.org/gismgr/api/v2/catalog/workspaces/CHIRPS-V3/mapsets/EWX2-ANOMALY-GM/stats"},{"rel":"rasters","href":"https://data.apps.fao.org/gismgr/api/v2/catalog/workspaces/CHIRPS-V3/mapsets/EWX2-ANOMALY-GM/rasters"}]}}