Description
The CYGNSS Level 3 Soil Moisture V3.2 dataset is produced by CYGNSS investigators at the University Corporation for Atmospheric Research (UCAR) and the University Colorado at Boulder (CU), it provides volumetric water content estimates for soils between 0-5 cm depth at a 6-hour discretization for most of the subtropics. and is derived from version 3.2 of the CYGNSS L1 SDR dataset (https://doi.org/10.5067/CYGNS-L1X32).
CYGNSS was launched on 15 December 2016, it is a NASA Earth System Science Pathfinder Mission that was launched with the purpose of collecting the first frequent space‐based measurements of surface wind speeds in the inner core of tropical cyclones. Originally made up of a constellation of eight micro-satellites, the observatories provide nearly gap-free Earth coverage using an orbital inclination of approximately 35° from the equator, with a mean (i.e., average) revisit time of seven hours and a median revisit time of three hours.
The soil moisture algorithm uses collocated soil moisture retrievals from SMAP to calibrate CYGNSS observations from the same day. For a given location, a linear relationship between the SMAP soil moisture and CYGNSS reflectivity is determined and used to transform the CYGNSS observations into soil moisture. The data are archived in daily files in netCDF-4 format. Two soil moisture variables report the volumetric water content in units of cm3/cm3. The variable SM_subdaily includes up to four soil moisture estimates per day. Another variable SM_daily provides a daily average. The time series covers the period from March 2017 to present.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| View documentation related to this dataset | HTML | Updated Monthly | Open resource |
| View documentation related to this dataset | HTML | Updated Monthly | Open resource |
| View documentation related to this dataset | HTML | Updated Monthly | Open resource |
| View documentation related to this dataset | HTML | Updated Monthly | Open resource |
| View documentation related to this dataset | HTML | Updated Monthly | Open resource |
| View documentation related to this dataset | HTML | Updated Monthly | Open resource |
| View documentation related to this dataset | HTML | Updated Monthly | Open resource |
| View documentation related to this dataset | HTML | Updated Monthly | Open resource |
| View this dataset's user's guide | HTML | Soil Moisture netCDF Data Dictionary | Open resource |
| NetCDF File | NetCDF | Quality Flags (.nc) | Open resource |
| View this dataset's user's guide | User Guide for the UCAR/CU CYGNSS Soil Moisture Product | Open resource | |
| Download this dataset through a directory map | HTML | HTTPS endpoint for data browse and download | Open resource |
| View documentation related to this dataset | HTML | CYGNSS Mission Page at University of Michigan | Open resource |
| View this dataset's documented anomalies | HTML | Google Sheet Log of Anomalous CYGNSS Sampling Events | Open resource |
| View this dataset's publications | HTML | Chew, C. C., & Small, E. E. (2018). Soil Moisture Sensing Using Spaceborne GNSSReflections: Comparison of CYGNSS Reflectivity to SMAP Soil Moisture.Geophysical Research Letters, 45(9), 4049-4057.https://doi.org/10.1029/2018GL077905 | Open resource |
| View this dataset's publications | HTML | Chew, C.C., E.E. Small. 'Description of the UCAR/CU Soil Moisture Product'. Remote Sens. 2020, 12, 1558. https://doi.org/10.3390/rs12101558 | Open resource |
| View this dataset's user's guide | HTML | CYGNSS Handbook | Open resource |
| View this dataset's data recipes | HTML | Generic Data Readers | Open resource |
| View this dataset's data recipes | HTML | PO.DAAC Cookbook | Open resource |
| View this dataset's data citation policy | HTML | Data Use and Citation Policy | Open resource |
| Get a related visualization | JPG | Thumbnail | 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 | Browse granule search results in Earthdata Search | Open resource |