TRMM (TMPA-RT) Near Real-Time IR precipitation estimate L3 1-hour 0.25 degree x 0.25 degree V7 (TRMM_3B41RT) at GES DISC
TMPA (3B41RT) dataset have been discontinued as of Dec. 31, 2019, and users are strongly encouraged to shift to the successor IMERG datasets (doi: 10.5067/GPM/IMERG/3B-HH-E/06, 10.5067/GPM/IMERG/3B-HH-L/06). These data were output from the TRMM Multi-satellite Precipitation Analysis (TMPA), the Near Real-Time (RT) processing stream. The latency was about seven hours from the observation time, although processing issues may delay or prevent this schedule. Users should be mindful that the price for the short latency of these data is the reduced quality as compared to the research quality product 3B42. This particular dataset is an intermediate variable (VAR) rainrate IR estimate. Data files start with a header consisting of a 2880-byte record containing ASCII characters. The header line makes the file nearly self-documenting, in particular spelling out the variable and version names, and giving the units of the variables. Immediately after the header follow 3 data fields, "precip", "error","# pixels", with byte count correspondingly 1382400,1382400,691200. First two are 2-byte integers, and the third is 1-byte. All fields are 1440x480 grid boxes (0-360E,60N-S). The first grid box center is at (0.125E,59.875N). The grid increments most rapidly to the east. Grid boxes without valid data are filled with the (2-byte integer) "missing" value -31999. Valid estimates are only provided in the band 50N-S. This binary data sets are in IEEE "big-endian" floating-point format.
| Science Keywords: |
|
||
| Spatial Extent: | Bounding Rectangle: N: 60 S: -60 E: 180 W: -180 |
Data Format(s): | Distribution: binary |
| Temporal Extent: | Platform(s): | TMPA | |
| Data Center(s): | NASA/GSFC/SED/ESD/GCDC/GESDISC | Instrument(s): | NOT APPLICABLE |
| Version: | 7 | ||
- Title: TRMM (TMPA-RT) Near Real-Time IR precipitation estimate L3 1-hour 0.25 degree x 0.25 degree V7
- Version: 7
- Creator: Dr. George Huffman
- Publisher: Goddard Earth Sciences Data and Information Services Center (GES DISC)
- Release Date: 2012-11-01T00:00:00.000Z
- Linkage: https://disc.gsfc.nasa.gov/datacollection/TRMM_3B41RT_7.html
10.5067/TRMM/TMPA/3H-E-IR/7
- READ-ME: https://docserver.gesdisc.eosdis.nasa.gov/public/project/GPM/3B4XRT_doc_V7.pdf, README Document
- GENERAL DOCUMENTATION: https://gpmweb2https.pps.eosdis.nasa.gov/tsdis/AB/docs/anomalous.html, TRMM Data Gaps
- GENERAL DOCUMENTATION: https://docserver.gesdisc.eosdis.nasa.gov/public/project/GPM/TMPA-to-IMERG_transition.pdf, Transition from TMPA to IMERG
Collection Information
-
Purpose
The NASA Goddard Space Flight Center (GSFC) system to produce the TMPA-RT estimates in real time for use by the operational research community was developed to apply new concepts in merging quasi-global precipitation estimates and to take advantage of the increasing availability of input data sets in near real time. - Search for granules from this collection
Data Identification
-
Processing Level
3
- Quality The *accuracy* of the precipitation products can be broken into systematic departures from the true answer (bias) and random fluctuations about the true answer (sampling), as discussed in Huffman (1997). The former are the biggest problem for climatological averages, since they will not average out. For the Infrared estimates (VAR), the sampling is good, but the algorithm likely has substantial RMS error due to the weak physical connection between IR Tb's and precipitation. Accordingly, the "random error" is assumed to be dominant, and estimates could be computed as discussed in Huffman (1997). Random error cannot be corrected. The "bias error" is likely small, or at least contained. This is less true over land, where the lower-frequency microwave channels are not useful for precipitation estimation with our current state of knowledge. The state of the art at the monthly scale is reflected in the study by Smith et al. (2006) and Adler et al. (2012). One study of the sub-monthly bias is provided by Tian et al. (2009). Best used in Real Time applications/monitoring, where long-term accuracy and biases are not of issue.
-
Collection Progress
Complete
-
Use Constraints
The Earth Observing System Data and Information System (EOSDIS) data use policy for NASA data can be accessed at https://earthdata.nasa.gov/earth-observation-data/data-use-policy. For information on how to properly cite and acknowledge data from the NASA GES DISC, refer to https://disc.gsfc.nasa.gov/information/documents?title=data-policy.
-
Access Constraints
None
-
Title: Estimates of Root-Mean-Square Random Error for Finite Samples of Estimated Precipitation
Publication Date: 1997-01-01
Author(s): Huffman, G.J.
Series: J. Appl. Meteor.
Volume: 14
Pages: 1191-1201
-
Title: The TRMM Multi-satellite Precipitation Analysis: Quasi- Global, Multi-Year, Combined-Sensor Precipitation Estimates at Fine Scale.
Publication Date: 2007-01-01
Author(s): 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
Series: J. Hydrometeor
Volume: 8
Pages: 38-55
-
Title: The TRMM Multi-satellite Precipitation Analysis (TMPA). Chapter 1 in Satellite Rainfall Applications for Surface Hydrology
Publication Date: 2010-01-01
Author(s): Huffman, G.J., R.F. Adler, D.T. Bolvin, E.J. Nelkin
DOI: 10.1007/978-90-481-2915-7
Data Dates
| Creation | |
| Last Revision |
Publication References
Related URLs
Other Descriptive Keywords
Ancillary Keywords
- EOSDIS
ISO Topic Categories
- CLIMATOLOGY/METEOROLOGY/ATMOSPHERE
Acquisition Information
Projects
| Project Short Name | Campaigns | Project Dates |
|---|---|---|
| TRMM | No campaigns listed. | No dates provided. |
Temporal Information
Spatial Information
| Coverage Type | Zone Identifier | Geometry | Granule Representation |
|---|---|---|---|
| HORIZONTAL | CARTESIAN | CARTESIAN |
Location Keywords
- GEOGRAPHIC REGION
- GLOBAL
Data Centers
-
NASA/GSFC/SED/ESD/GCDC/GESDISC
ARCHIVERGoddard 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
This data center does not have any addresses listed.
This data center does not have any contact mechanisms listed.
Data Contacts
-
ANDREY SAVTCHENKO
Metadata AuthorANDREY SAVTCHENKO
-
Distributed Active Archive Center Global Change Data Center
Code 610.2
NASA Goddard Space Flight Center
Greenbelt, MD 20771
301-614-5705
-
-
GEORGE HUFFMAN
InvestigatorGEORGE HUFFMAN
-
NASA Goddard Space Flight Center
Mailstop 612
Greenbelt, MD 20771
301-614-6308
-
-
GES DISC HELP DESK SUPPORT GROUP
Data Center ContactGES DISC HELP DESK SUPPORT GROUP
NASA/GSFC/SED/ESD/GCDC/GESDISC-
Goddard Earth Sciences Data and Information Services Center
Code 610.2
NASA Goddard Space Flight Center
Greenbelt, MD 20771
-
Archive And Distribution Information
-
Format: binary
Format Type: Native
Media: Online Archive
Fees: none
File Distribution Information
There is no direct distribution information for this collection.