[Source_Name: Short_Name='TRMM']
|
TRMM and Other Satellites Precipitation Product 3B42 Entry ID: GES_DISC_TRMM_PR-TMI-VIRS-OTHER_3B42_V6 |
||||||||
|
[
Get Data
]
[
Update this Record
]
|
Summary
|
Abstract:
This document provides basic information on 3B42, TRMM and Other Satellites Precipitation Product.The TRMM Multi-Satellite Precipitation Analysis (TMPA; computed at fine intervals as 3B-42) intercalibrates (to 2B31) and combines 2A-12, SSMI, AMSR and AMSU precipitation estimates (referred to as HQ). IR estimates from geostationary IR observations are made by calibrating the IR brightness temperatures to the HQ estimates. The 3B-42 estimates consist of the HQ where available and IR otherwise, all scaled to match the monthly satellite/rain gauge analyses in 3B-43.The output is precipitation for 0.25x0.25 degree grid boxes on the latitude band 50 ° N-S every 3 hours. For more details of the algorithm, go to http://trmm.gsfc.nasa.gov/3b42.html
|
Related URL
|
Link:
GET DATA
>
OPENDAP DATA (DODS)
Description: OPeNDAP Earth Science Data TRMM 3B42. Link: GET DATA > MIRADOR Description: Access to TRMM and Other-GPI Calibration Rainfall Product (3B42) Link: GET DATA > MIRADOR Description: The Mirador Earth Science Data Search Tool includes TRMM 3B42, TRMM-adjusted merged-infrared (IR) precipitation and root-mean-square (RMS) precipitation-error estimates. Mirador features include location and event gazetteers. Link: GET DATA > ECHO Description: Refine your granule search with ECHO's next generation Earth Science discovery tool (Reverb) using information from this record. Link: GET RELATED SERVICE METADATA (SERF) Description: This interface is designed for quick analyses of the TRMM Level-3 3-hourly rainfall product, 3B42. Users can plot area averages (area plot) and time series (time plot) for selected areas and time periods. Link: GET RELATED SERVICE METADATA (SERF) Description: This tool is online inter-comparison of monthly TRMM and other global gridded precipitation products. Link: VIEW RELATED INFORMATION Description: Readme document for TRMM and Other-GPI Calibration Rainfall Product (3B42) Link: VIEW RELATED INFORMATION Description: Information and data access for all of the Goddard DAAC's hydrology data holdings, including TRMM data from the TMI, Precipitation Radar (PR) and Visible and Infrared Scanner (VIRS) instruments, the Ground Validation (GV) radar data, and ancillary and correlative data products. |
Geographic Coverage
| N: 50.0 | S: -50.0 | E: 180.0 | W: -180.0 |
|
Data Set Citation
|
Dataset Originator/Creator:
Tropical Rainfall Measurement Mission Project (TRMM)
Dataset Title: TRMM 3-Hourly 0.25 deg. TRMM and Other-GPI Calibration Rainfall Data Version: 6 Online Resource: http://mirador.gsfc.nasa.gov/cgi-bin/mirador/presentNavigation.pl?t... |
Temporal Coverage
| Start Date: 1997-12-31 |
Location Keywords
|
GEOGRAPHIC REGION
> GLOBAL
|
Data Resolution
|
Latitude Resolution:
0.25 degree
Longitude Resolution: 0.25 degree Vertical Resolution: Surface Temporal Resolution: 3-hourly |
Science Keywords
| ATMOSPHERE >PRECIPITATION >PRECIPITATION RATE [Definition] |
ISO Topic Category
|
CLIMATOLOGY/METEOROLOGY/ATMOSPHERE
|
Platform
| TRMM >Tropical Rainfall Measuring Mission [Information] |
Instrument
| PR >TRMM Precipitation Radar [Information] |
| TMI >TRMM Microwave Imager [Information] |
| VIRS >TRMM Visible Infrared Scanner [Information] |
Project
| EOS >Earth Observing System [Information] |
| EOSDIS >Earth Observing System Data Information System [Information] |
| GPCP >Global Precipitation Climatology Project [Information] |
| ESIP >Earth Science Information Partners Program [Information] |
| TRMM >Tropical Rainfall Measuring Mission Project [Information] |
| CWIC >CEOS WGISS Integrated Catalog [Information] |
Quality
| Adjusted GPI relative error estimates are provided for each 0.25 x 0.25 degree box. There are currently no known deficiencies in the 3B42 algorithm. The quality of the 3B42 product is highly sensitive to the quality of the input data: TRMM VIRS (product 1B01), TMI (product 2A12), and TRMM Combined Instrument (TCI) (product 3B31). If the quality of the input data is less than anticipated, then the quality of 3B42 will also be less. |
Access Constraints
| None |
Keywords
| EOSDIS |
Data Set Progress
| IN WORK |
Originating Center
| GSFC_GES_DISC |
Data Center
|
Goddard Earth Sciences Data and Information Services Center (formerly Goddard DAAC), Global Change Data Center, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA
[Information]
Data Center URL: http://disc.gsfc.nasa.gov/
| |||
Distribution
|
Distribution_Media:
FTP
Distribution_Size: file size: 3150 kb Distribution_Format: HDF Fees: none |
Personnel
|
GEORGE
HUFFMAN Role: INVESTIGATOR Phone: 301-614-6308 Fax: 301-614-5492 Email: George.J.Huffman at nasa.gov Contact Address: NASA Goddard Space Flight Center Mailstop 612 City: Greenbelt Province or State: Maryland Postal Code: 20771 Country: USA |
|
GES DISC HELP DESK SUPPORT GROUP Role: TECHNICAL CONTACT Phone: 301-614-5224 Fax: 301-614-5268 Email: gsfc-help-disc at lists.nasa.gov Contact Address: Goddard Earth Sciences Data and Information Services Center Code 610.2 NASA Goddard Space Flight Center City: Greenbelt Province or State: MD Postal Code: 20771 Country: USA |
Publications/References
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.
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., 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., 1997: Estimates of Root-Mean-Square Random Error for Finite Samples of Estimated Precipitation, J. Appl. Meteor., 1191-1201.
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.
Creation and Review Dates
DIF Creation Date:
2006-09-12
Last DIF Revision Date:
2011-11-08
| [ Update this Record ] |
