GPM_2AGPROFMT1SAPHIR_03

GPM SAPHIR on MT1 (GPROF) Radiometer Precipitation Profiling L2A 1.5 hours 10 km V03 (GPM_2AGPROFMT1SAPHIR) at GES DISC

Version 03 eng
  • Abstract
    The 2AGPROF (also known as, GPM GPROF (Level 2)) algorithm retrieves consistent precipitation and related science fields from the following GMI and partner passive microwave sensors: GMI, SSMI (DMSP F15), SSMIS (DMSP F16, F17, F18) AMSR2 (GCOM-W1), TMI SAPHIR (NOAA 18&19, METOP A&B), ATMS (NPP), SAPHIR (MT1) This provides the bulk of the 3-hour coverage achieved by GPM. For each sensor, there are near-realtime (NRT) products, standard products, and climate products. These differ only in the amount of data that are available within 3 hours, 48 hours, and 3 months of collection, as well as the ancillary data used. The NRT product uses GANAL forecast fields. Standard products use the GANAL analysis product, while the climate product uses ECMWF reanalysis in order to allow for consistent data records with earlier missions. These earlier data may be archived separately. The main strength of the product is the large sampling provided. The GPM radiometer algorithms are Bayesian-type algorithms. These algorithms search an a-priori database of potential rain profiles and retrieve a weighted average of these entries based upon the proximity of the observed brightness temperature (Tb) to the simulated Tb corresponding to each rain profile. By using the same a-priori database of rain profiles, with appropriate simulated Tb for each constellation sensor, the Bayesian method is completely parametric and thus well suited for GPM's constellation approach. The a-priori information will be supplied by the combined algorithm supplied by GPM's core satellite as soon after launch as feasible. Databases for V0 of the algorithm had to be constructed from various sources as described in the ATBD. The solution provides a mean rain rate as well as the vertical structure of cloud and precipitation hydrometeors and their uncertainty.
  • Version Description
    Not provided

Data Identification Fields:

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    Data Dates
    Creation
    Last Revision
    Processing Level

    2

    Quality
    The major sources of systematic errors in these algorithms are the quality of the a-priori database, and the estimate of the model uncertainties that are needed to construct a Bayesian algorithm. Some error can also be introduced by the ancillary information (surface type, surface temperature, and total precipitable water) used to subset the a-priori database in the algorithm. Because passive microwave signatures at the pixel level represent primarily integrated quantities, neither the vertical structure nor the near-surface precipitation from radiometers are typically as good as their radar counterparts. Solutions are also smoothed by the Bayesian scheme, leading to fewer extremes relative to a radar.
    Collection Progress

    In Work

    Use Constraints
    None
    Access Constraints

    1.0

    None

    Publication References
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Related URLs
    Science Keywords
    • EARTH SCIENCE
    • ATMOSPHERE
    • ATMOSPHERIC WATER VAPOR
    • EARTH SCIENCE
    • ATMOSPHERE
    • PRECIPITATION
Other Descriptive Keywords
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Ancillary Keywords
  • Atmosphere, Precipitation, Water Vapor
ISO Topic Categories
  • CLIMATOLOGY/METEOROLOGY/ATMOSPHERE
Additional Attributes
  • Data Granularity
    STRING
    The time coverage of individual data granules.
    Resolution Range Begin Range End Unit of Measure Accuracy

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Acquisition Information Fields:

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Platforms
  • Earth Observation Satellites
    GPM
    Instruments
    • GMI
  • Earth Observation Satellites
    MT1
    Instruments
    • SAPHIR
Projects
Project Short Name Campaigns Project Dates
GPM No campaigns listed. No dates provided.

Temporal Information Fields:

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Spatial Information Fields:

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Location Keywords
    • GEOGRAPHIC REGION
    • TROPICS

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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  • CHRISTIAN
    Investigator
    CHRISTIAN KUMMEROW

    Department of Atmospheric Science
    Colorado State University
    Fort Collins, CO 80523

    • Email
    • 1-970-491-7473
    • 1-970-491-8449
  • DAVID
    Metadata Author
    DAVID SILBERSTEIN

    Code 610.2 Bldg 32 Rm S131.5
    NASA Goddard Space Flight Center
    Greenbelt, MD 21230

    • Email
    • 301-614-5183
    • 301-614-5268
  • 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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