Global Precipitation Measurement (GPM) adalah misi satelit internasional untuk memberikan pengamatan hujan dan salju generasi berikutnya di seluruh dunia setiap tiga jam. Integrated Multi-satellitE
Retrievals for GPM (IMERG) adalah algoritma terpadu yang memberikan
perkiraan curah hujan dengan menggabungkan data dari semua instrumen
microwave pasif dalam Konstelasi GPM.
Algoritma ini dimaksudkan untuk menginterkalibrasi, menggabungkan, dan menginterpolasi semua estimasi presipitasi microwave satelit, bersama dengan estimasi presipitasi satelit inframerah (IR) yang dikalibrasi microwave, analisis pengukur presipitasi, dan berpotensi estimator presipitasi lainnya pada skala waktu dan ruang yang kecil untuk era TRMM dan GPM di seluruh dunia.
Sistem dijalankan beberapa kali untuk setiap waktu pengamatan, pertama-tama memberikan perkiraan cepat dan kemudian memberikan perkiraan yang lebih baik seiring dengan kedatangan lebih banyak data. Langkah terakhir menggunakan data pengukur bulanan untuk membuat produk tingkat riset. Lihat IMERG Technical Documentation
untuk mengetahui detail selengkapnya tentang algoritma.
Koleksi ini berisi produk sementara yang secara rutin diganti dengan versi terbaru saat data tersedia. Produk ditandai dengan properti metadata
yang disebut 'status'. Saat produk pertama kali tersedia, nilai properti adalah 'sementara'. Setelah produk sementara diperbarui dengan versi final, nilai ini akan diperbarui menjadi 'permanen'.
Global Precipitation Measurement (GPM) adalah misi satelit internasional untuk memberikan pengamatan hujan dan salju generasi berikutnya di seluruh dunia setiap tiga jam. Integrated Multi-satellitE Retrievals for GPM (IMERG) adalah algoritma terpadu yang memberikan estimasi curah hujan dengan menggabungkan data dari semua instrumen microwave pasif dalam Konstelasi GPM. Algoritma ini ditujukan …
[null,null,[],[[["\u003cp\u003eThe NASA/GPM_L3/IMERG_V07 dataset provides global precipitation estimates every 30 minutes, combining data from various satellite and ground-based sources.\u003c/p\u003e\n"],["\u003cp\u003eIMERG is a unified algorithm that merges and interpolates data from the GPM Constellation's passive-microwave instruments, IR satellite estimates, and gauge analyses.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset covers the period from June 1, 2000, to December 12, 2024, with a spatial resolution of approximately 11 km.\u003c/p\u003e\n"],["\u003cp\u003eData products are initially provisional and are regularly updated to permanent status as more refined information becomes available.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is freely available for public use and is accessible through Google Earth Engine.\u003c/p\u003e\n"]]],[],null,["Dataset Availability\n: 2000-06-01T00:00:00Z--2025-08-31T02:30:00Z\n\nDataset Provider\n:\n\n\n [NASA GES DISC at NASA Goddard Space Flight Center](https://doi.org/10.5067/GPM/IMERG/3B-HH/07)\n\nCadence\n: 30 Minutes\n\nTags\n:\n [climate](/earth-engine/datasets/tags/climate) [geophysical](/earth-engine/datasets/tags/geophysical) [gpm](/earth-engine/datasets/tags/gpm) [imerg](/earth-engine/datasets/tags/imerg) [jaxa](/earth-engine/datasets/tags/jaxa) [nasa](/earth-engine/datasets/tags/nasa) [precipitation](/earth-engine/datasets/tags/precipitation) [weather](/earth-engine/datasets/tags/weather) \nhalf-hourly \n\nDescription \nGlobal Precipitation Measurement (GPM) is an international\nsatellite mission to provide next-generation observations of\nrain and snow worldwide every three hours. The Integrated Multi-satellitE\nRetrievals for GPM (IMERG) is the unified algorithm that provides\nrainfall estimates combining data from all passive-microwave\ninstruments in the GPM Constellation.\n\nThis algorithm is intended to intercalibrate, merge, and interpolate\nall satellite microwave precipitation estimates, together with\nmicrowave-calibrated infrared (IR) satellite estimates, precipitation\ngauge analyses, and potentially other precipitation estimators at fine\ntime and space scales for the TRMM and GPM eras over the entire globe.\nThe system is run several times for each observation time, first\ngiving a quick estimate and successively providing better estimates\nas more data arrive. The final step uses monthly gauge data to\ncreate research-level products. See [IMERG Technical Documentation](https://pmm.nasa.gov/sites/default/files/document_files/IMERG_doc.pdf)\nfor more details on the algorithm.\n\nDocumentation:\n\n- [Algorithm Theoretical Basis Document](https://arthurhou.pps.eosdis.nasa.gov/Documents/IMERG_V07_ATBD_final.pdf)\n\n- [IMERG Quality Index](https://docserver.gesdisc.eosdis.nasa.gov/public/project/GPM/IMERGV06_QI.pdf)\n\n- [Caveats for IMERG extension into TRMM era](https://docserver.gesdisc.eosdis.nasa.gov/public/project/GPM/IMERGV06_TRMMera-caveats.pdf)\n\n- [IMERG Technical Documentation](https://arthurhou.pps.eosdis.nasa.gov/Documents/IMERG_TechnicalDocumentation_final.pdf)\n\n- [Release notes; New Morphing algorithm](https://gpm.nasa.gov/resources/documents/imerg-v07-release-notes)\n\n- [Remote-Sensing Reflectance](https://gpm1.gesdisc.eosdis.nasa.gov/data/GPM_L3/doc/README.GPM.pdf)\n\n- [Anomalies](https://gpmweb2https.pps.eosdis.nasa.gov/tsdis/AB/docs/gpm_anomalous.html)\n\nThis collection contains provisional\nproducts that are regularly replaced with updated versions when\nthe data become available. The products are marked with a metadata\nproperty called 'status'. When a product is initially made available,\nthe property value is 'provisional'. Once a provisional product\nhas been updated with the final version, this value is updated\nto 'permanent'.\n\nThis collection contains data from:\n\n- GPM_3IMERGHH_V07 [doi:10.5067/GPM/IMERG/3B-HH-L/07](https://doi.org/10.5067/GPM/IMERG/3B-HH-L/07)\n- GPM_3IMERGHH_07 [doi:10.5067/GPM/IMERG/3B-HH/07](https://doi.org/10.5067/GPM/IMERG/3B-HH/07)\n\nBands\n\n\n**Pixel Size**\n\n11132 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|----------------------------------|---------------------|--------|--------|------------|-------------------------------------------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| `MWobservationTime` | min. into half hour | 0\\* | 29\\* | meters | PMW source time |\n| `MWprecipSource` | | | | meters | PMW source sensor identifier |\n| Bitmask for MWprecipSource - Bits 0-3: PMW source sensor identifier - 0: No observation - 1: TMI - 2: (unused) - 3: AMSR - 4: SSMI - 5: SSMIS - 6: AMSU - 7: MHS - 8: SAPHIR - 9: GMI - 10: (unused) - 11: ATMS - 12: AIRS - 13: TOVS - 14: CRIS ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n| `MWprecipitation` | mm/hr | 0\\* | 120\\* | meters | merged PMW precipitation |\n| `IRinfluence` | % | 0\\* | 100\\* | meters | Kalman filter weight for IR |\n| `IRprecipitation` | mm/hr | 0\\* | 79.5\\* | meters | IR precipitation |\n| `precipitation` | mm/hr | 0\\* | 174\\* | meters | snapshot precipitation - calibrated |\n| `precipitationUncal` | mm/hr | 0\\* | 120\\* | meters | snapshot precipitation - uncalibrated |\n| `probabilityLiquidPrecipitation` | % | 0\\* | 100\\* | meters | probability of liquid precipitation phase |\n| `randomError` | mm/hr | 0.24\\* | 250\\* | meters | calibrated-precipitation random error |\n\n\\* estimated min or max value\n\nTerms of Use\n\n**Terms of Use**\n\nAll NASA-produced data from the GPM mission is made freely available for the public to use.\n\nCitations \nCitations:\n\n- Huffman, G.J., E.F. Stocker, D.T. Bolvin, E.J. Nelkin, Jackson Tan (2019),\n GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06,\n Greenbelt, MD, Goddard Earth Sciences Data and Information Services Center\n (GES DISC), Accessed: \\[Data Access Date\\],\n [doi:10.5067/GPM/IMERG/3B-HH/07](https://doi.org/10.5067/GPM/IMERG/3B-HH/07)\n\nDOIs\n\n- \u003chttps://doi.org/10.5067/GPM/IMERG/3B-HH-L/07\u003e\n- \u003chttps://doi.org/10.5067/GPM/IMERG/3B-HH/07\u003e\n\nExplore with Earth Engine **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\nCode Editor (JavaScript) \n\n```javascript\n// GPM V7 30 minute data for a single day.\nvar range = ee.Date('2019-09-03').getRange('day');\nvar dataset = ee.ImageCollection('NASA/GPM_L3/IMERG_V07')\n .filter(ee.Filter.date(range));\n\n// Select the max precipitation and mask out low precipitation values.\nvar precipitation = dataset.select('precipitation').max();\nvar mask = precipitation.gt(0.5);\nvar precipitation = precipitation.updateMask(mask);\n\nvar palette = [\n '000096','0064ff', '00b4ff', '33db80', '9beb4a',\n 'ffeb00', 'ffb300', 'ff6400', 'eb1e00', 'af0000'\n];\nvar precipitationVis = {min: 0, max: 15, palette: palette};\nMap.addLayer(precipitation, precipitationVis, 'Precipitation (mm/hr)');\nMap.setCenter(-76, 33, 3);\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/NASA/NASA_GPM_L3_IMERG_V07) \n[GPM: Global Precipitation Measurement (GPM) Release 07](/earth-engine/datasets/catalog/NASA_GPM_L3_IMERG_V07) \nGlobal Precipitation Measurement (GPM) is an international satellite mission to provide next-generation observations of rain and snow worldwide every three hours. The Integrated Multi-satellitE Retrievals for GPM (IMERG) is the unified algorithm that provides rainfall estimates combining data from all passive-microwave instruments in the GPM Constellation. This algorithm is intended ... \nNASA/GPM_L3/IMERG_V07, climate,geophysical,gpm,imerg,jaxa,nasa,precipitation,weather \n2000-06-01T00:00:00Z/2025-08-31T02:30:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.5067/GPM/IMERG/3B-HH/07](https://doi.org/https://doi.org/10.5067/GPM/IMERG/3B-HH/07)\n- [https://doi.org/10.5067/GPM/IMERG/3B-HH/07](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/NASA_GPM_L3_IMERG_V07)"]]
