Description
WindSat/Coriolis surface soil moisture (LPRM) L3 1 day 25 km x 25 km daytime V001 is a Level 3 (gridded) data set. Its land surface parameters, surface soil moisture, land surface (skin) temperature, and vegetation water content, are derived from polarimetric microwave radiometer data from WindSat, onboard the Naval Research Laboratory's Coriolis satellite, 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 February 2003 to July 2012.
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 (37.0 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 brightness temperatures (sdrLowRes) product, daytime passes, as processed using LPRM (i.e., LPRM/WindSat/Coriolis L2 product, LPRM_WINDSAT_SOILM2_V001).
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| This dataset's landing page | HTML | Access the dataset landing page from the GES DISC website. | Open resource |
| View documentation related to this dataset | HTML | GES DISC Hydrology Documentation | Open resource |
| Get a related visualization | PNG | LPRM_WINDSAT_DY_SOILM3_001.png | Open resource |
| Download this dataset through a directory map | HTML | Access the data via HTTPS. | Open resource |
| Use OPeNDAP to access the dataset's data | HTML | Access the data via the OPeNDAP protocol. | Open resource |
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |
| Download this dataset through Earthdata Search | HTML | Use the Earthdata Search Client to find and retrieve data sets across multiple data centers. | Open resource |