AI-generated Key Takeaways
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The TRMM/3B42 dataset provides 3-hourly precipitation and precipitation error estimates from 1998 to 2019.
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This dataset, a joint effort by NASA and JAXA, monitors and studies tropical rainfall.
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The data includes bands for precipitation, relative error, and satellite observation information.
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The dataset is in the public domain with no restrictions on use and distribution.
- Dataset Availability
- 1998-01-01T00:00:00Z–2019-12-31T21:00:00Z
- Dataset Provider
- NASA GES DISC at NASA Goddard Space Flight Center
- Cadence
- 3 Hours
- Tags
Description
The 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 spatial resolution.
See the algorithm description and the file specification for details.
Documentation:
Bands
Pixel Size 27830 meters
Bands
precipitation
Merged microwave/IR precipitation estimate
relativeError
Merged microwave/IR precipitation random error estimate
satPrecipitationSource
Flag to show source of data
HQprecipitation
Pre-gauge-adjusted microwave precipitation estimate
IRprecipitation
Pre-gauge-adjusted infrared precipitation estimate
satObservationTime
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.
Terms of Use
Terms of Use
This dataset is in the public domain and is available without restriction on use and distribution. See NASA's Earth Science Data & Information Policy for additional information.
Citations
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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. Hydrometeor., 4(6), 1147-1167.
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Huffman, G.J., 1997: Estimates of Root-Mean-Square Random Error for Finite Samples of Estimated Precipitation, J. Appl. Meteor., 1191-1201.
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Huffman, G.J., 2012: Algorithm Theoretical Basis Document (ATBD) Version 3.0 for the NASA Global Precipitation Measurement (GPM) Integrated Multi-satellitE Retrievals for GPM (I-MERG). GPM Project, Greenbelt, MD, 29 pp.
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Huffman, G.J., R.F. Adler, P. Arkin, A. Chang, R. Ferraro, A. Gruber, J. Janowiak, A. McNab, B. Rudolph, and U. Schneider, 1997: The Global Precipitation Climatology Project (GPCP) Combined Precipitation Dataset, Bul. Amer. Meteor. Soc., 78, 5-20.
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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. Hydrometeor., 8(1), 38-55.
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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. Hydrometeor., 2(1), 36-50.
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Huffman, G.J., R.F. Adler, B. Rudolph, U. Schneider, and 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.
Explore with Earth Engine
Code Editor (JavaScript)
var dataset = ee . ImageCollection ( 'TRMM/3B42' ) . filter ( ee . Filter . date ( '2018-04-01' , '2018-04-10' )); var precipitation = dataset . select ([ 'precipitation' , 'HQprecipitation' , 'IRprecipitation' ]); var precipitationVis = { min : 0 , max : 12 , gamma : 5 , }; Map . setCenter ( - 79.98 , 23.32 , 4 ); Map . addLayer ( precipitation , precipitationVis , 'Precipitation' );
