TRMM_3B41RT_7

TRMM (TMPA-RT) Near Real-Time IR precipitation estimate L3 3 hour 0.25 degree x 0.25 degree V7 (TRMM_3B41RT) at GES DISC

Version 7 eng
  • Abstract
    These data are output from the TRMM Multi-satellite Precipitation Analysis (TMPA), the Near Real-Time (RT) processing stream. The latency is 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 consisteing of a 2880-byte header 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 the data fields. All fields are 1440x480 grid boxes (0-360�E,60�N-S). The first grid box center is at (0.125�E,59.875�N). 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 50�N-S. This binary data sets are in IEEE ?big-endian? floating-point format. Files are produced every 3 hours on synoptic observation hours (00, 03, ..., 21 UTC) as an accumulation of all HQ swath data observed within +/-90 minutes of the nominal file time. I.e. Each file is a snapshot considered to represent the three-hour period centered on the "nominal" file time. So, e.g., 00 UTC nominally represents the period from 2230 UTC of the previous day to 0130 UTC of the current day.
  • 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.
  • Version Description
    Not provided

Data Identification Fields:

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    Data Dates
    Creation
    Last Revision
    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).
    Collection Progress

    In Work

    Use Constraints
    Best used in Real Time applications/monitoring, where long-term accuracy and biases are not of issue.
    Access Constraints

    None

    Publication References
    • Publication reference title not provided
        Not provided
Related URLs
    Science Keywords
    • EARTH SCIENCE
    • ATMOSPHERE
    • PRECIPITATION
    • PRECIPITATION RATE
Other Descriptive Keywords
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Ancillary Keywords
  • EOSDIS
ISO Topic Categories
  • CLIMATOLOGY/METEOROLOGY/ATMOSPHERE
Additional Attributes
  • Granularity
    STRING
    The time coverage of individual data granules.
    Resolution Range Begin Range End Unit of Measure Accuracy

  • metadata.uuid
    STRING
    Not provided
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  • metadata.extraction_date
    STRING
    Not provided
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  • metadata.keyword_version
    FLOAT
    Not provided
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  • DIF9.0-to-DIF10-Converter
    STRING
    Not provided
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  • Discipline
    STRING
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  • IDN_Node.Short_Name
    STRING
    Not provided
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  • IDN_Node.UUID
    STRING
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  • Original.Metadata_Version
    STRING
    Not provided
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  • Original.Dataset_Language
    STRING
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  • Original.xsi:schemaLocation
    STRING
    Not provided
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Acquisition Information Fields:

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Platforms
  • Models/Analyses
    TMPA
    Instruments
    • NOT APPLICABLE
Projects
Project Short Name Campaigns Project Dates
TRMM No campaigns listed. No dates provided.

Temporal Information Fields:

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Spatial Information Fields:

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Location Keywords
    • GEOGRAPHIC REGION
    • GLOBAL

Data Centers

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  • NASA/GSFC/SED/ESD/GCDC/GESDISC
    ARCHIVER
    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

    This data center does not have any addresses listed.

    This data center does not have any contact mechanisms listed.

Data Contacts

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  • ANDREY
    Metadata Author
    ANDREY SAVTCHENKO

    Distributed Active Archive Center Global Change Data Center
    Code 610.2
    NASA Goddard Space Flight Center
    Greenbelt, MD 20771

  • GEORGE
    Investigator
    GEORGE HUFFMAN

    NASA Goddard Space Flight Center
    Mailstop 612
    Greenbelt, MD 20771

  • Data Center Contact
    GES 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

    • Email
    • 301-614-5224
    • 301-614-5268

Collection Citations Fields:

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    Collection Citations
    • TRMM (TMPA-RT) Near Real-Time IR precipitation estimate L3 3 hour 0.25 degree x 0.25 degree V7
      7

      Created by: Dr. George Huffman

      Editor: Kyle MacRitchie

      Published by: Goddard Earth Sciences Data and Information Services Center (GES DISC)

      Released: 2012-11-01