LPRM_AMSRE_D_RZSM3_001

AMSR-E/Aqua root zone soil moisture (LPRM) L3 1 day 25 km x 25 km descending and 2-Layer Palmer Water Balance Model V001 (LPRM_AMSRE_D_RZSM3) at GES DISC

Version 001 eng
  • Abstract
    This Level 3 (gridded) root zone soil moisture product is derived via the assimilation of Land Parameter Retrieval Model (LPRM)/Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E)/NASA EOS Aqua surface soil moisture retrievals into the 2-Layer Palmer Water Balance Model, using a 1-dimensional, 30-member Ensemble Kalman filter (EnKF). The 2-Layer Palmer Water Balance Model was forced with meteorological forcing data obtained from the Air Force Weather Agency (AFWA). The EnKF seeks to (1) optimally combine soil moisture information derived from model forecast and satellite retrieval and (2) vertically extrapolate surface soil moisture retrievals into deeper root zone soil moisture predictions. There is one file per day (nighttime). The data set covers the period from June 2002 to December 2010.
  • Version Description
    Not provided

Data Identification Fields:

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    Data Dates
    Creation
    Last Revision
    Processing Level

    4

    Quality
    The accuracy of the EnKF root zone soil moisture (RZSM) predictions depends on (1) the magnitude of errors in the model forecasts and satellite surface soil moisture retrievals from which the RZSM is derived, (2) the quality of error information provided to the EnKF (and used to optimally weigh conflicting information obtained from various sources), and (3) the vertical accuracy of the model (used as the basis for extrapolating surface soil moisture measurements to constrain soil moisture at greater vertical depths). Validation results suggest that the EnKF generally provides a more accurate RZSM prediction, compared with the baseline 2-Layer Palmer Model predictions (particularly in sparsely-vegetated and/or data-poor regions of the world).
    Collection Progress

    Complete

    Use Constraints
    None
    Access Constraints

    None

    Publication References
    • Multisensor historical climatology of satellite-derived global land surface moisture
      2008-01-01

      Author(s) Owe, M., R. de Jeu, and T. Holmes

      Journal of Geophysical Research

      Vol: 113

      Iss: F01002

      Pages: 17 pp.

      DOI: 10.1029/2007JF000769

        Not provided
    • Global soil moisture patterns observed by space borne microwave radiometers and scatterometers
      2008-01-01

      Author(s) De Jeu, R.A.M., W. Wagner, T.R.H. Holmes, A.J. Dolman, N.C. van de Giesen, and J. Friesen

      Surveys in Geophysics

      Vol: 29

      Pages: 399-420

      DOI: 10.1007/s10712-008-9044-0

        Not provided
    • Error estimates for near-real-time satellite soil moisture as derived from the Land Parameter Retrieval Model
      2011-01-01

      Author(s) Parinussa, R.M., A.G.C.A. Meesters, Y.Y. Liu, W. Dorigo, W. Wagner, and R.A.M. de Jeu

      IEEE Geoscience and Remote Sensing Letters

      Vol: 8

      Iss: 4

      Pages: 779 - 783

      DOI: 10.1109/LGRS.2011.2114872

        Not provided
    • Improved prediction of quasi-global vegetation conditions using remotely-sensed surface soil moisture
      2012-01-01

      Author(s) Bolten, J.D. and W.T Crow

      Geophysical Research Letters

      Vol: 39

      Iss: L19406

      Pages: 5 pp.

      DOI: 10.1029/2012GL053470

        Not provided
    • Evaluating the utility of remotely sensed soil moisture retrievals for operational agricultural drought monitoring
      2010-01-01

      Author(s) Bolten, J.D., W.T. Crow, X. Zhan, T.J. Jackson, and C.A. Reynolds

      IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

      Vol: 3

      Iss: 1

      Pages: 57-66

      DOI: 10.1109/JSTARS.2009.2037163

        Not provided
    • Meteorological drought
      1965-01-01

      Author(s) Palmer, W.C.

      U.S. Weather Bureau Research Paper

      Pages: 65 pp.

        Not provided
Related URLs
    Science Keywords
    • EARTH SCIENCE
    • LAND SURFACE
    • SOILS
    • SOIL MOISTURE/WATER CONTENT
Other Descriptive Keywords
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Ancillary Keywords
  • Hydrology
  • AMSR-E
  • Surface soil moisture
  • Soil water content
  • Root zone soil moisture
  • Rainfall
  • Air temperature
  • Water balance model
  • Microwave
ISO Topic Categories
  • ENVIRONMENT
Additional Attributes
  • metadata.uuid
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    The time coverage of individual data granules
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Acquisition Information Fields:

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Platforms
  • Earth Observation Satellites
    AQUA
    Instruments
    • AMSR-E
Projects
Project Short Name Campaigns Project Dates
AQUA 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 LAND

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

Toggle Data Contacts
  • WADE
    Investigator
    WADE CROW

    USDA-ARS Hydrology and Remote Sensing Laboratory
    Building 007, Room 104, BARC-West
    Beltsville, MD 20705-2350

    • Email
    • 301 504 6847
    • 301 504 8931
  • WILLIAM
    Metadata Author
    WILLIAM TENG

    Code 610.2
    NASA Goddard Space Flight Center
    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
    • AMSR-E/Aqua root zone soil moisture (LPRM) L3 1 day 25 km x 25 km descending and 2-Layer Palmer Water Balance Model V001
      001

      Created by: USDA Agricultural Research Service (Wade Crow)

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

      Released: 2012-05-21