SMOS-Based SMAP L2 Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture V001

Description

The Soil Moisture Active Passive (SMAP, launched in 2015) and the Soil Moisture and Ocean Salinity (SMOS, launched in 2009) missions are each L-band satellites that provide brightness temperature and soil moisture estimates and vegetation optical depth approximately every 2-3 days with a spatial resolution of ~40 km. By integrating brightness temperature observations from both satellites, these data products reduce the revisit time to about one day, improving the ability to monitor fast-response processes such as groundwater drainage and recharge, early dry-down after storms, and pre-storm soil moisture conditions for runoff determination.

The Integrated SMAP and SMOS Soil Moisture Data is available in two products:

  • SMOS-Based SMAP L2 Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture (NSIDC-0799): This product is generated by processing half-orbit granules (either 6 AM ascending or 6 PM descending) from the pre-processed SMOS product. The L2 product consists solely of SMOS-based data, incorporating information after SMOS brightness temperatures (TBs) at a 40° incidence angle were inter-calibrated and the soil moisture (SM) and vegetation optical depth (VOD) were retrieved using the SMAP Dual Channel Algorithm (DCA).
  • SMAP/SMOS L3 Radiometer 9 km EASE-Grid Soil Moisture (NSIDC-0800): To generate this product, processing software ingests one day’s worth of granules from both the SMAP SPL2SMP_E product and the SMOS-derived L2 data. The L3 product contains both SMAP and SMOS descending (6:00 AM/PM) and ascending (6:00 PM/AM) data stored in separate arrays.

Resources

Name Format Description Link
View documentation related to this dataset HTML Includes a user's guide, supplemental documents like ATBDs and academic papers, How Tos, FAQs, etc. Open resource
Download this dataset HTML Direct download via HTTPS protocol. Open resource
Google Scholar search results HTML Search results for publications that cite this dataset by its DOI. Open resource
Download this dataset HTML Search and filter data files using a map-based interface Open resource

Tags

Topics

Categories