Description
These data are the Goddard Satellite-based Surface Turbulent Fluxes Version 3 Dataset recently produced through a MEaSURES funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project.
This is a Daily product; data are projected to equidistant Grid that covers the globe at 0.25x0.25 degree cell size, resulting in data arrays of 1440x720 size.
The input data sets used for this recent GSSTF production include the upgraded and improved datasets such as the Special Sensor Microwave Imager (SSM/I) Version-6 (V6) product of brightness temperature [Tb], total precipitable water [W], and wind speed [U] produced by the Wentz of Remote Sensing Systems (RSS), as well as the NCEP/DOE Reanalysis-2 (R2) product of sea skin temperature [SKT], 2-meter air temperature [Tair], and sea level pressure [SLP].
The short name for this product is GSSTF_NCEP.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| This dataset's landing page | HTML | Access the dataset landing page from the GES DISC website. | Open resource |
| Get a related visualization | PNG | Goddard Satellite-based Surface Turbulent Fluxes (GSSTF) Sea Surface Skin Temperature NCEP/DOE Reanalysis II 1 x 1 degree 01/01/2001 [C] | Open resource |
| View this dataset's algorithm theoretical basis document | Science_of_the_data.GSSTF3.pdf | Open resource | |
| The dataset's project home page | HTML | MEaSUREs Project Home Page | Open resource |
| Download this dataset through a directory map | HTML | Access the data via HTTP. | Open resource |
| View this dataset's read me document | README Document | 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 to find and retrieve data sets across multiple data centers. | Open resource |