Climate Data

Goddard Satellite-based Surface Turbulent Fluxes Version 2c (GSSTF 2c)

This data set (GSSTF 2C) has been superceded by GSSTF3 released in July 2012. The Goddard Satellite-based Surface Turbulent Fluxes (GSSTF) data set is part of the NASA Making Earth Science Data Records for Use in Research Environments (MEaSUREs) Project. The objective of this project is to continually produce a uniform data set of sea surface turbulent fluxes derived from remote sensing data and analysis that have been and continue to be useful for global energy and water flux research and applications. This product is useful for diagnosing the global water and energy cycle interaction of higher frequency scenario. Fully tested, these products can serve as a crucial input for data assimilation of oceanic GCMs for forecasting.

Expert Developer Guidance

Model climate simulations show an enhanced hydrologic cycle, which must be corroborated with observations. The daily temporal and one-degree spatial resolution of the product can be used to examine climate variability at these scales. Oceanic evaporation contributes to the net fresh water input to the oceans and drives the upper ocean density structure and consequently the circulation of the oceans. On the other hand, the 12-hr temporal and a quarter degree spatial resolution of the product can be used to studying the hurricane-ocean interaction of higher frequency scenario. Fully tested, these products can serve as a crucial input for data assimilation of oceanic GCMs for forecasting.

Technical Notes

The GSSTF 2c collection of datasets is an upgraded and improved version from the preceding GSSTF 2b (Version 2b) released in October 2010. The Special Sensor Microwave Imager (SSM/I) Version-6 brightness temperatures (Tb) used for the GSSTF 2b production were recently found to contain "artificial" temporal trends that were mainly due to drifts/trends in the Earth Incidence Angle (EIA) of the SSM/I satellites (e.g., F08, F10, F11, F13, F14 and F15). An algorithm that successfully handles the EIA problem has therefore been developed and applied to produce a corrected version of SSM/I brightness temperatures, which are subsequently used for producing the GSSTF 2c collection. The GSSTF, Version 2c, daily fluxes have first been produced for each individual available SSM/I (Special Sensor Microwave Imager) satellite tapes (e.g., F08, F10, F11, F13, F14 and F15). Then, the Combined daily fluxes are produced by averaging (equally weighted) over available flux data/files from various satellites. These Combined daily flux data are considered as the "final" GSSTF, Version 2c, and are stored in this HDF-EOS5 collection.

Years of Record

1987/01 to 2008/12
temporal metadataID:

Formats

Timestep

Climatology | Daily | Monthly | Seasonal | Annual

Domain

Spatial Resolution

1x1

Ocean or Land

Ocean Only

Missing Data Flag

missing data present

Data Access: Please Cite data sources, following the data providers' instructions.

Key Figures

Click the thumbnails to view larger sizes

Thumbnails

Captions

Climate Data Guide Image: GSSTF 2c: Total precipitable water The 'minor' variable "total precipitable water" before and after interpolation. Generally, the high southern latitudes are where the interpolation takes place. (Climate Data Guide; D. Shea)
Climate Data Guide Image: GSSTF 2c: Sensible and latent heat flux Sensible and latent heat flux Dec 2008. Not interpolated. (Climate Data Guide; D. Shea)
Climate Data Guide Image:  GSSTF 2c: Zonal and meridional wind stress Zonal and meridional wind stress Dec 2008. Not interpolated. (Climate Data Guide; D. Shea)

Cite this page

National Center for Atmospheric Research Staff (Eds). Last modified 08 Oct 2013. "The Climate Data Guide: Goddard Satellite-based Surface Turbulent Fluxes Version 2c (GSSTF 2c)." Retrieved from https://climatedataguide.ucar.edu/climate-data/goddard-satellite-based-surface-turbulent-fluxes-version-2c-gsstf-2c.

Acknowledgement of any material taken from this page is appreciated. On behalf of experts who have contributed data, advice, and/or figures, please cite their work as well.