Related URL

Link: GET DATA Link: GET DATA > MIRADOR

Geographic Coverage

N: 60.0

S: -60.0

E: 180.0

W: -180.0

Data Set Citation

Dataset Originator/Creator: USDA Agricultural Research Service Dataset Title: LPRM/AMSR-E/Aqua Daily L3 Descending and 2-Layer Palmer Water Balance Model Root Zone Soil Moisture Dataset Release Date: 05.21.2012 Dataset Release Place: Greenbelt, MD U.S.A. Dataset Publisher: Goddard Earth Sciences Data and Information Services Center (GES DISC) Version: 1 Online Resource: ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/WAOB/LPRM_AMSRE_D_RZSM3.001/

Temporal Coverage

Start Date: 2002-06-01

Stop Date: 2010-12-31

Location Keywords

GEOGRAPHIC REGION > GLOBAL LAND

Data Resolution

Latitude Resolution: 25 km Longitude Resolution: 25 km Temporal Resolution: Daily

Science Keywords

LAND SURFACE >SOILS >SOIL MOISTURE/WATER CONTENT    [Definition]

ISO Topic Category

ENVIRONMENT

Platform

AQUA >Earth Observing System, AQUA    [Information]

Instrument

AMSR-E >Advanced Microwave Scanning Radiometer-EOS    [Information]

Project

EOS >Earth Observing System    [Information]

EOSDIS >Earth Observing System Data Information System    [Information]

AQUA >Earth Observing System (EOS), AQUA    [Information]

CWIC >CEOS WGISS Integrated Catalog    [Information]

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).

Access Constraints

None

Use Constraints

None

Keywords

Hydrology

AMSR-E

Surface soil moisture

Soil water content

Root zone soil moisture

Rainfall

Air temperature

Water balance model

Data Set Progress

COMPLETE

Originating Center

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

Data Center

Hydrology DISC, Goddard Earth Sciences Data and Information Services Center, Global Change Data Center, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA    [Information] Data Center URL: http://disc.sci.gsfc.nasa.gov/hydrology/ Data Center Personnel Name: GES DISC HELP DESK SUPPORT GROUP 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

Distribution

Distribution_Media: Online (FTP) Distribution_Size: (per file) 4 MB Distribution_Format: NETCDF Fees: None

Personnel

WADE CROW Role: INVESTIGATOR Phone: 301 504 6847 Fax: 301 504 8931 Email: Wade.Crow at ars.usda.gov Contact Address: USDA-ARS Hydrology and Remote Sensing Laboratory Bldg. 007, Rm. 104, BARC-West City: Beltsville Province or State: MD Postal Code: 20705-2350 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