LPRM/WindSat/Coriolis Daily L3 Ascending Surface Soil Moisture, Ancillary Params, and QCEntry ID: GES_DISC_LPRM_WINDSAT_DY_SOILM3_V001
Abstract: This Level 3 (gridded) data set’s land surface parameters, surface soil moisture, land surface (skin) temperature, and vegetation water content, are derived from WindSat, a satellite-based polarimetric microwave radiometer, data, using the Land Parameter Retrieval Model (LPRM). There are two files per day, one ascending (daytime) and one descending (nighttime), archived as two different products. ... This document is for the daytime product. The data set covers the period from October 2007 to July 2012, at a spatial resolution of 0.25 degree. The data are stored in netCDF format.
The LPRM is based on a forward radiative transfer model to retrieve surface soil moisture and vegetation optical depth. The land surface temperature is derived separately from the WindSat's Ka-band (36.5 GHz). A unique feature of this method is that it can be applied at any microwave frequency, making it very suitable to exploit all the available passive microwave data from various satellites.
Input data are from the WindSat resampled brightness temperatures product, nighttime passes, as processed using LPRM (i.e., LPRM/WindSat/Coriolis L2B product, GES_DISC_LPRM_WINDSAT_SOILM2_V002).
Data Set Citation
Dataset Originator/Creator: Vrije Universiteit Amsterdam and NASA GSFC
Dataset Title: LPRM/WindSat/Coriolis Daily L3 Descending Surface Soil Moisture, Ancillary Params, and QC
Dataset Release Date: 06.28.2013
Dataset Release Place: Greenbelt, MD U.S.A.
Dataset Publisher: Goddard Earth Sciences Data and Information Services Center (GES DISC)
Version: 2Online Resource: ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/WAOB/LPRM_WNDST_DY_SOILM3....
Start Date: 2007-10-02Stop Date: 2012-07-31
Latitude Resolution: 25 km
Longitude Resolution: 25 km
Horizontal Resolution Range: 10 km - < 50 km or approximately .09 degree - < .5 degree
Temporal Resolution: Daily
ISO Topic Category
Quality The LPRM/WindSat data are sensitive to both internal model limitations and external processes and are screened for radio frequency interference, the presence of snow/frozen soils, water, and dense vegetation covers. All screened out data pixels are flagged and indicated by a non-data value. A soil moisture uncertainty parameter at both C and X bands is included (Parinussa et al., 2011).
Access Constraints None
Use Constraints None
Data Set Progress
Distribution Media: Online (FTP)
Distribution Size: (per file) 16.2 MB
Distribution Format: NETCDF
Phone: +31 20 598 7287
Email: Richard.de.jeu at falw.vu.nl
Faculty of Earth and Life Sciences Department of Hydrology and Geo-environmental Sciences Vrije Universiteit Amsterdam
City: 1081 HV Amsterdam
Country: The Netherlands
Role: TECHNICAL CONTACT
Email: gsfc-help-disc at lists.nasa.gov
Goddard Earth Sciences Data and Information Services Center Code 610.2 NASA Goddard Space Flight Center
Province or State: MD
Postal Code: 20771
Owe, M., R. de Jeu, and T. Holmes (2008), Multisensor historical climatology of satellite-derived global land surface moisture, Journal of Geophysical Research, 113, F01002, 17 pp., doi:10.1029/2007JF000769
De Jeu, R.A.M., W. Wagner, T.R.H. Holmes, A.J. Dolman, N.C. van de Giesen, and J. Friesen (2008), Global soil moisture patterns observed by space borne microwave radiometers and scatterometers, Surveys in Geophysics, 29, 399-420, doi:10.1007/s10712-008-9044-0
Holmes, T.R.H., R.A.M. De Jeu, M. Owe, and A.J. Dolman (2009), Land surface temperature from Ka band (37 GHz) passive microwave observations, Journal of Geophysical Research, 114, D04113, 15 pp., doi:10.1029/2008JD010257
Parinussa, R.M., A.G.C.A. Meesters, Y.Y. Liu, W. Dorigo, W. Wagner, and R.A.M. de Jeu (2011), Error estimates for near-real-time satellite soil moisture as derived from the Land Parameter Retrieval Model, IEEE Geoscience and Remote Sensing Letters, 8, 4, 779 - 783, doi:10.1109/LGRS.2011.2114872
Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date: 2013-06-26
Last DIF Revision Date: 2013-10-25