Google Earth Engine——TRMM/34B2产品包含一个网格化的、经TRMM调整的、合并的红外降水（毫米/小时）和降水误差的有效值估计，时间分辨率为3小时，空间分辨率为0.25度。

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:

• PI Documentation
  
• File Specification for TRMM Products
  
• Comparison between TRMM versions 6 and 7
  
• Readme
  
• Details of the TMPA algorithm used in this product
  
• TRMM Data Gaps
  
• Transition from TMPA to IMERG
  

热带降水测量任务（TRMM）是美国航天局和日本宇宙航空研究开发机构（JAXA）的一项联合任务，旨在监测和研究热带降水。34B2产品包含一个网格化的、经TRMM调整的、合并的红外降水（毫米/小时）和降水误差的有效值估计，时间分辨率为3小时，空间分辨率为0.25度。

详见算法说明和文件说明。

文件。

PI文件

TRMM产品的文件规范

TRMM第6和第7版之间的比较

自述文件

本产品中使用的TMPA算法的细节

TRMM的数据差距

从TMPA到IMERG的过渡

Dataset Availability

1998-01-01T00:00:00 - 2019-12-31T00:00:00

Dataset Provider

NASA GES DISC at NASA Goddard Space Flight Center

Collection Snippet

ee.ImageCollection("TRMM/3B42")

Resolution

27830 meters

Bands Table

使用说明：

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.

引用：

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.

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: 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.

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.

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.

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.

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

代码：

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: 0.0,
  max: 12.0,
  gamma: 5.0,
};
Map.setCenter(-79.98, 23.32, 4);
Map.addLayer(precipitation, precipitationVis, 'Precipitation');