La mission TRMM (Tropical Rainfall Measuring Mission) est une mission conjointe de la NASA et de l'Agence d'exploration aérospatiale japonaise (JAXA) conçue pour surveiller et étudier les précipitations tropicales.
Le produit 34B2 contient une estimation de l'erreur RMS de précipitation (mm/h) et de précipitation infrarouge fusionnée, ajustée par TRMM, avec une résolution temporelle de 3 heures et une résolution spatiale de 0, 25 degré.
Estimation des précipitations par fusion des données micro-ondes et infrarouges
relativeError
mm/h
0
100
mètres
Estimation de l'erreur aléatoire des précipitations fusionnées micro-ondes/IR
satPrecipitationSource
mètres
Indicateur permettant d'afficher la source des données
Masque de bits pour satPrecipitationSource
Bits 0 à 5 : source
0 : Aucune observation
1 : AMSU
2 : TMI
3 : AMSR
4 : SSMI
5 : SSMI/S
6 : MHS
7 : TCI
30 : moyenne AMSU/MHS
31 : Moyenne du scanner conique
50 : IR
HQprecipitation
mm/h
0
100
mètres
Estimation des précipitations par micro-ondes ajustée avant la jauge
IRprecipitation
mm/h
0
100
mètres
Estimation des précipitations infrarouges ajustée avant la jauge
satObservationTime
min
-90
90
mètres
Heure d'observation du satellite moins l'heure du granule.
En cas de chevauchement des observations satellite, les deux ou plusieurs heures d'observation sont moyennées avec une pondération égale.
Adler, R.F., G.J. Huffman, A. Chang, R. Ferraro, P. Xie, J. Janowiak,
B. Rudolf, U. Schneider, S. Curtis, D. Bolvin, A. Gruber, J. Susskind,
P. Arkin, E.J. Nelkin, 2003 : The Version 2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-Present).
J. Hydrométéore 4(6), 1147-1167.
Huffman, G.J., 1997 : Estimates of Root-Mean-Square Random Error for Finite Samples of Estimated Precipitation, J. Appl. Meteor.,
1191-1201.
Huffman, G.J., 2012 : document de base théorique de l'algorithme (ATBD), version 3.0 pour les récupérations multisatellites intégrées de mesure globale des précipitations (GPM) de la NASA pour GPM (I-MERG). GPM Project,
Greenbelt, MD, 29 pp.
Huffman, G.J., R.F. Adler, P. Arkin, A. Chang, R. Ferraro, A.
Gruber, J. Janowiak, A. McNab, B. Rudolph, and U. Schneider, 1997 : ensemble de données combinées sur les précipitations du Global Precipitation Climatology Project (GPCP), Bul. Amer. Météore. Soc., 78, 5-20.
Huffman, G.J., R.F. Adler, D.T. Bolvin, G. Gu, E.J. Nelkin, K.P.
Bowman, Y. Hong, E.F. Stocker, D.B. Wolff, 2007: The TRMM Multi-satellite
Precipitation Analysis: Quasi-Global, Multi-Year, Combined-Sensor
Precipitation Estimates at Fine Scale. J. Hydrométéore 8(1), 38-55.
Huffman, G.J., R.F. Adler, M. Morrissey, D.T. Bolvin, S. Curtis,
R. Joyce, B McGavock, J. Susskind, 2001 : Global Precipitation at One-Degree Daily Resolution from Multi-Satellite Observations. J.
Hydrométéore 2(1), 36-50.
Huffman, G.J., R.F. Adler, B. Rudolph, U. Schneider et P. Keehn, 1995 : Global Precipitation Estimates Based on a Technique for Combining Satellite-Based Estimates, Rain Gauge Analysis, and NWP Model Precipitation Information, J. Clim., 8, 1284-1295.
La mission TRMM (Tropical Rainfall Measuring Mission) est une mission conjointe de la NASA et de l'Agence d'exploration aérospatiale japonaise (JAXA) conçue pour surveiller et étudier les précipitations tropicales. Le produit 34B2 contient une estimation de la précipitation infrarouge fusionnée (mm/h) et de l'erreur RMS de précipitation, ajustée par TRMM, avec une résolution temporelle de 3 heures et une résolution spatiale de 0, 25 degré.
[null,null,[],[[["\u003cp\u003eThe TRMM 3B42 dataset provides 3-hourly precipitation estimates from 1998 to 2019, covering tropical regions.\u003c/p\u003e\n"],["\u003cp\u003eIt is a joint mission between NASA and JAXA to monitor and study tropical rainfall.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes merged microwave/IR precipitation estimates, error estimates, and source flags.\u003c/p\u003e\n"],["\u003cp\u003eData is gridded at a 0.25-degree spatial resolution and is freely available in the public domain.\u003c/p\u003e\n"],["\u003cp\u003eUsers can access and analyze the dataset using Google Earth Engine.\u003c/p\u003e\n"]]],[],null,["# TRMM 3B42: 3-Hourly Precipitation Estimates\n\nDataset Availability\n: 1998-01-01T00:00:00Z--2019-12-31T21:00:00Z\n\nDataset Provider\n:\n\n\n [NASA GES DISC at NASA Goddard Space Flight Center](https://doi.org/10.5067/TRMM/TMPA/3H/7)\n\nCadence\n: 3 Hours\n\nTags\n:\n[3-hourly](/earth-engine/datasets/tags/3-hourly) [climate](/earth-engine/datasets/tags/climate) [geophysical](/earth-engine/datasets/tags/geophysical) [jaxa](/earth-engine/datasets/tags/jaxa) [nasa](/earth-engine/datasets/tags/nasa) [precipitation](/earth-engine/datasets/tags/precipitation) [rainfall](/earth-engine/datasets/tags/rainfall) [trmm](/earth-engine/datasets/tags/trmm) [weather](/earth-engine/datasets/tags/weather) \n\n#### Description\n\nThe Tropical Rainfall Measuring Mission (TRMM) is a\njoint mission between NASA and the Japan Aerospace Exploration\nAgency (JAXA) designed to monitor and study tropical rainfall.\nThe 34B2 product contains a gridded, TRMM-adjusted, merged infrared\nprecipitation (mm/hr) and RMS precipitation-error estimate, with\na 3-hour temporal resolution and a 0.25 degree spatial resolution.\n\nSee the [algorithm description](https://trmm.gsfc.nasa.gov/3b42.html)\nand the [file specification](https://storm.pps.eosdis.nasa.gov/storm/data/docs/filespec.TRMM.V7.3B42.pdf)\nfor details.\n\nDocumentation:\n\n- [PI Documentation](https://docserver.gesdisc.eosdis.nasa.gov/public/project/GPM/3B42_3B43_doc_V7.pdf)\n\n- [File Specification for TRMM Products](https://pps.gsfc.nasa.gov/Documents/filespec.TRMM.V7.pdf)\n\n- [Comparison between TRMM versions 6 and 7](https://pps.gsfc.nasa.gov/Documents/formatChangesV7.pdf)\n\n- [Readme](https://disc2.gesdisc.eosdis.nasa.gov/data/TRMM_L3/TRMM_3B42/doc/README.TRMM_V7.pdf)\n\n- [Details of the TMPA algorithm used in this product](https://pmm.nasa.gov/sites/default/files/imce/3B42_3B43_TMPA_restart.pdf)\n\n- [TRMM Data Gaps](https://web.archive.org/web/20200701000000*/ftp://gpmweb2.pps.eosdis.nasa.gov/tsdis/AB/docs/anomalous.html)\n\n- [Transition from TMPA to IMERG](https://docserver.gesdisc.eosdis.nasa.gov/public/project/GPM/TMPA-to-IMERG_transition.pdf)\n\n### Bands\n\n\n**Pixel Size**\n\n27830 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|--------------------------|-------|-----|-----|------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| `precipitation` | mm/hr | 0 | 100 | meters | Merged microwave/IR precipitation estimate |\n| `relativeError` | mm/hr | 0 | 100 | meters | Merged microwave/IR precipitation random error estimate |\n| `satPrecipitationSource` | | | | meters | Flag to show source of data |\n| Bitmask for satPrecipitationSource - Bits 0-5: Source - 0: No observation - 1: AMSU - 2: TMI - 3: AMSR - 4: SSMI - 5: SSMI/S - 6: MHS - 7: TCI - 30: AMSU/MHS average - 31: Conical scanner average - 50: IR ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n| `HQprecipitation` | mm/hr | 0 | 100 | meters | Pre-gauge-adjusted microwave precipitation estimate |\n| `IRprecipitation` | mm/hr | 0 | 100 | meters | Pre-gauge-adjusted infrared precipitation estimate |\n| `satObservationTime` | min | -90 | 90 | meters | Satellite observation time minus the time of the granule. In case of overlapping satellite observations, the two or more observation times are equal-weighting averaged. |\n\n### Terms of Use\n\n**Terms of Use**\n\nThis dataset is in the public domain and is available\nwithout restriction on use and distribution. See [NASA's\nEarth Science Data \\& Information Policy](https://www.earthdata.nasa.gov/engage/open-data-services-and-software/data-and-information-policy)\nfor additional information.\n\n### Citations\n\nCitations:\n\n- Adler, R.F., G.J. Huffman, A. Chang, R. Ferraro, P. Xie, J. Janowiak,\n B. Rudolf, U. Schneider, S. Curtis, D. Bolvin, A. Gruber, J. Susskind,\n P. Arkin, E.J. Nelkin, 2003: The Version 2 Global Precipitation\n Climatology Project (GPCP) Monthly Precipitation Analysis (1979-Present).\n J. Hydrometeor., 4(6), 1147-1167.\n- Huffman, G.J., 1997: Estimates of Root-Mean-Square Random Error\n for Finite Samples of Estimated Precipitation, J. Appl. Meteor.,\n 1191-1201.\n- Huffman, G.J., 2012: Algorithm Theoretical Basis Document (ATBD)\n Version 3.0 for the NASA Global Precipitation Measurement (GPM)\n Integrated Multi-satellitE Retrievals for GPM (I-MERG). GPM Project,\n Greenbelt, MD, 29 pp.\n- Huffman, G.J., R.F. Adler, P. Arkin, A. Chang, R. Ferraro, A.\n Gruber, J. Janowiak, A. McNab, B. Rudolph, and U. Schneider, 1997:\n The Global Precipitation Climatology Project (GPCP) Combined Precipitation\n Dataset, Bul. Amer. Meteor. Soc., 78, 5-20.\n- Huffman, G.J., R.F. Adler, D.T. Bolvin, G. Gu, E.J. Nelkin, K.P.\n Bowman, Y. Hong, E.F. Stocker, D.B. Wolff, 2007: The TRMM Multi-satellite\n Precipitation Analysis: Quasi-Global, Multi-Year, Combined-Sensor\n Precipitation Estimates at Fine Scale. J. Hydrometeor., 8(1), 38-55.\n- Huffman, G.J., R.F. Adler, M. Morrissey, D.T. Bolvin, S. Curtis,\n R. Joyce, B McGavock, J. Susskind, 2001: Global Precipitation at\n One-Degree Daily Resolution from Multi-Satellite Observations. J.\n Hydrometeor., 2(1), 36-50.\n- Huffman, G.J., R.F. Adler, B. Rudolph, U. Schneider, and P. Keehn,\n 1995: Global Precipitation Estimates Based on a Technique for Combining\n Satellite-Based Estimates, Rain Gauge Analysis, and NWP Model Precipitation\n Information, J. Clim., 8, 1284-1295.\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('TRMM/3B42')\n .filter(ee.Filter.date('2018-04-01', '2018-04-10'));\nvar precipitation =\n dataset.select(['precipitation', 'HQprecipitation', 'IRprecipitation']);\nvar precipitationVis = {\n min: 0,\n max: 12,\n gamma: 5,\n};\nMap.setCenter(-79.98, 23.32, 4);\nMap.addLayer(precipitation, precipitationVis, 'Precipitation');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/TRMM/TRMM_3B42) \n[TRMM 3B42: 3-Hourly Precipitation Estimates](/earth-engine/datasets/catalog/TRMM_3B42) \nThe Tropical Rainfall Measuring Mission (TRMM) is a joint mission between NASA and the Japan Aerospace Exploration Agency (JAXA) designed to monitor and study tropical rainfall. The 34B2 product contains a gridded, TRMM-adjusted, merged infrared precipitation (mm/hr) and RMS precipitation-error estimate, with a 3-hour temporal resolution and a 0.25 degree ... \nTRMM/3B42, 3-hourly,climate,geophysical,jaxa,nasa,precipitation,rainfall,trmm,weather \n1998-01-01T00:00:00Z/2019-12-31T21:00:00Z \n-50 -180 50 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://doi.org/10.5067/TRMM/TMPA/3H/7)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/TRMM_3B42)"]]
