Climate Hazards Center InfraRed Precipitation with Station data (CHIRPS) est un ensemble de données quasi mondiales sur les précipitations, qui couvre plus de 30 ans. CHIRPS intègre des images satellite d'une résolution de 0,05° avec des données de stations in situ pour créer des séries temporelles de précipitations maillées pour l'analyse des tendances et la surveillance de la sécheresse saisonnière.
Bracelets
Taille des pixels 5566 mètres
Bandes de fréquences
Nom
Unités
Min
Max
Taille des pixels
Description
precipitation
mm/j
0*
1444.34*
mètres
Précipitations
* valeur minimale ou maximale estimée
Conditions d'utilisation
Conditions d'utilisation
Ces ensembles de données appartiennent au domaine public. Dans la mesure autorisée par la loi, Pete Peterson a renoncé à tous les droits d'auteur et droits voisins ou connexes concernant les données CHIRPS (Climate Hazards Center Infrared Precipitation with Stations).
Citations
Citations :
Funk, Chris, Pete Peterson, Martin Landsfeld, Diego Pedreros, James
Verdin, Shraddhanand Shukla, Gregory Husak, James Rowland, Laura Harrison,
Andrew Hoell & Joel Michaelsen. "The climate hazards infrared precipitation
with stations-a new environmental record for monitoring extremes".
Scientific Data 2, 150066. doi:10.1038/sdata.2015.66
2015.
Climate Hazards Center InfraRed Precipitation with Station data (CHIRPS) est un ensemble de données quasi mondiales sur les précipitations qui couvre plus de 30 ans. CHIRPS intègre des images satellite d'une résolution de 0,05° avec des données de stations in situ pour créer des séries temporelles de précipitations maillées pour l'analyse des tendances et la surveillance saisonnière de la sécheresse.
[null,null,[],[[["\u003cp\u003eCHIRPS is a 30+ year quasi-global rainfall dataset spanning from 1981 to 2024.\u003c/p\u003e\n"],["\u003cp\u003eIt combines 0.05° resolution satellite imagery and in-situ station data for improved accuracy.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is intended for trend analysis, seasonal drought monitoring, and other climate-related applications.\u003c/p\u003e\n"],["\u003cp\u003eCHIRPS data is publicly available and can be accessed through the Google Earth Engine platform.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset provides daily precipitation data in millimeters per day (mm/d).\u003c/p\u003e\n"]]],["The core content details the CHIRPS rainfall dataset, available from 1981-01-01 to 2025-01-31, provided by UCSB/CHG. This quasi-global dataset merges satellite imagery and station data at a 0.05° resolution, creating daily precipitation grids. It's used for trend analysis and drought monitoring, and it offers data in mm/d units with a pixel size of 5566 meters. The dataset can be accessed and analyzed via Earth Engine, with public-domain usage terms.\n"],null,["# CHIRPS Daily: Climate Hazards Center InfraRed Precipitation With Station Data (Version 2.0 Final)\n\nDataset Availability\n: 1981-01-01T00:00:00Z--2025-07-31T00:00:00Z\n\nDataset Provider\n:\n\n\n [UCSB/CHG](https://chc.ucsb.edu/data/chirps)\n\nCadence\n: 1 Day\n\nTags\n:\n[chg](/earth-engine/datasets/tags/chg) [climate](/earth-engine/datasets/tags/climate) [geophysical](/earth-engine/datasets/tags/geophysical) [precipitation](/earth-engine/datasets/tags/precipitation) [ucsb](/earth-engine/datasets/tags/ucsb) [weather](/earth-engine/datasets/tags/weather) \n\n#### Description\n\nClimate Hazards Center InfraRed Precipitation with Station data (CHIRPS)\nis a 30+ year quasi-global rainfall dataset. CHIRPS incorporates\n0.05° resolution satellite imagery with in-situ station data\nto create gridded rainfall time series for trend analysis and seasonal\ndrought monitoring.\n\n### Bands\n\n\n**Pixel Size**\n\n5566 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|-----------------|-------|-----|-----------|------------|---------------|\n| `precipitation` | mm/d | 0\\* | 1444.34\\* | meters | Precipitation |\n\n\\* estimated min or max value\n\n### Terms of Use\n\n**Terms of Use**\n\nThis datasets are in the public domain. To the extent possible under law,\n[Pete Peterson](https://chc.ucsb.edu/people/pete-peterson)\nhas waived all copyright and related or neighboring rights to\nClimate Hazards Center Infrared Precipitation with Stations (CHIRPS).\n\n### Citations\n\nCitations:\n\n- Funk, Chris, Pete Peterson, Martin Landsfeld, Diego Pedreros, James\n Verdin, Shraddhanand Shukla, Gregory Husak, James Rowland, Laura Harrison,\n Andrew Hoell \\& Joel Michaelsen. \"The climate hazards infrared precipitation\n with stations-a new environmental record for monitoring extremes\".\n Scientific Data 2, 150066. [doi:10.1038/sdata.2015.66](https://doi.org/10.1038/sdata.2015.66)\n 2015.\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.ImageCollection('UCSB-CHG/CHIRPS/DAILY')\n .filter(ee.Filter.date('2018-05-01', '2018-05-03'));\nvar precipitation = dataset.select('precipitation');\nvar precipitationVis = {\n min: 1,\n max: 17,\n palette: ['001137', '0aab1e', 'e7eb05', 'ff4a2d', 'e90000'],\n};\nMap.setCenter(17.93, 7.71, 2);\nMap.addLayer(precipitation, precipitationVis, 'Precipitation');\n```\nPython setup\n\nSee the [Python Environment](/earth-engine/guides/python_install) page for information on the Python API and using\n`geemap` for interactive development. \n\n```python\nimport ee\nimport geemap.core as geemap\n```\n\n### Colab (Python)\n\n```python\ndataset = ee.ImageCollection('UCSB-CHG/CHIRPS/DAILY').filter(\n ee.Filter.date('2018-05-01', '2018-05-03')\n)\nprecipitation = dataset.select('precipitation')\nprecipitation_vis = {\n 'min': 1,\n 'max': 17,\n 'palette': ['001137', '0aab1e', 'e7eb05', 'ff4a2d', 'e90000'],\n}\n\nm = geemap.Map()\nm.set_center(17.93, 7.71, 2)\nm.add_layer(precipitation, precipitation_vis, 'Precipitation')\nm\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/UCSB-CHG/UCSB-CHG_CHIRPS_DAILY) \n[CHIRPS Daily: Climate Hazards Center InfraRed Precipitation With Station Data (Version 2.0 Final)](/earth-engine/datasets/catalog/UCSB-CHG_CHIRPS_DAILY) \nClimate Hazards Center InfraRed Precipitation with Station data (CHIRPS) is a 30+ year quasi-global rainfall dataset. CHIRPS incorporates 0.05° resolution satellite imagery with in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring. \nUCSB-CHG/CHIRPS/DAILY, chg,climate,geophysical,precipitation,ucsb,weather \n1981-01-01T00:00:00Z/2025-07-31T00:00:00Z \n-50 -180 50 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://chc.ucsb.edu/data/chirps)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRPS_DAILY)"]]
