Abstract: These data are the Goddard Satellite-based Surface Turbulent Fluxes Version-3 (GSSTF3) 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 suite of GSSTF version 3 products is the 0.25x0.25 deg resolution version of the GSSTF 2c collections. It does not contain, however, the "WB" variable - 'lowest 500-m precipitable water' (g/cm**2).
This is the Daily (24-hour) product; data are projected to equidistant Grid that covers the globe at 0.25 degree cell size, resulting in data arrays of 1440x720 size.
As in previous versions, the daily fluxes have first been produced for each individual available SSM/I 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 3, and are stored in this HDF-EOS5 collection.
There are only one set of GSSTF, Version 3, Combined data, "Set1"
The double-quoted labels are the short names of the data fields in the HDF-EOS5 files.
The "individual" daily flux data files, produced for each individual satellite, are also available in HDF-EOS5, although from different collections: GES_DISC_GSSTF_xxx_3, where xxx are the individual satellites (F08, F10, etc..)
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]. Relevant to this MEaSUREs project, these are converted to HDF-EOS5, and are stored in the GES_DISC_GSSTF_NCEP_3 collection.
Please use these products with care and proper citations, i.e., properly indicating your applications with, e.g., "using the combined 2001 data file of Set1" or "using the 2001 F13 data file".
APPENDIX SET1 --------------- The following list summarizes individual satellites used to produce the Combined SET1.
(1) Y1987/: F08/ 1987/07-12: F08 (Note: 1987/12 is filled with missing value due to data scarcity)
(2) Y1988/: F08/ 1988/01-12: F08
(3) Y1989/: F08/ 1989/01-12: F08
(4) Y1990: F08/ F10/ 1990/01-12: F08 (Note: F10 started in 1990/12, but N/A due to data scarcity)
(a) For Y2006, Y2007 and Y2008, the current Combined daily data files do not include the F15 Individual daily data files due to problematic calibration in F15. The Combined daily files will be updated for those three years once an improved set of Individual daily data files are produced using corrected and updated SSM/I F15 input files.
(b) The current Combined daily data files are produced with at most 4 combined satellites, i.e., F10, F11, F13 and F14 for May-Nov 1997, and F11, F13, F14 and F15 for Jan-May 2000.
Parameters contained in the data files include the following: Variable Name|Description|Units DQ|sea-air humidity difference|(g/kg) E|latent heat flux|(W/m^^2) H|sensible heat flux|(W/m^^2) Qair|surface air (~10-m) specific humidity|(g/kg) STu|zonal wind stress|(N/m^^2) STv|meridional wind stress|(N/m^^2) Tot_Precip_Water|total precipitable water|(g/cm^^2) U|10-m wind speed|(m/s) End of parameter information
The daily temporal and quarter-degree spatial resolution of the product can be used to examining climate variability at these scales. The global water cycle's provision of water to terrestrial storage, reservoirs, and rivers rests upon the global excess of evaporation to precipitation over the oceans. Variations in the magnitude of this ocean evaporation excess will ultimately lead to variations ... in the amount of freshwater that is transported (by the atmosphere) and precipitated over continental regions. The air-sea fluxes of momentum, radiation, and freshwater (precipitation-evaporation) play a very essential role in a wide variety of atmospheric and oceanic problems (e.g., 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). Information on these fluxes is crucial in understanding the interactions between the atmosphere and oceans, global energy, and water cycle variability, and in improving model simulations of climate variations.
The GSSTF dataset has been widely used by scientific communities for global energy and water cycle research and regional and short period data analysis since its official release in 2000/2001. Accurate sea surface fluxes measurements are crucial to understanding the global water and energy cycles. The oceanic evaporation that is a major component of the global oceanic fresh water flux is particularly useful to predicting oceanic circulation and transport. Remote sensing is a valuable tool for global monitoring of these flux measurements. The GSSTF algorithm has been developed and applied to remote sensing research and applications. We are looking forward to serving the scientific communities with another useful dataset in GSSTF3.
Brunke, A. M., Z. Wang, X. Zeng, M. Bosilovich, and C.-L. Shie, 2011: An assessment of the uncertainties in ocean surface turbulent fluxes in 11 reanalysis, satellite-derived, and combined global data sets. J. Climate, Vol. 24, 5469-5493. doi: 10.1175/2011JCLI4223.1
Chiu, L. S., S. Gao, and C.-L. Shie, 2012: Oceanic evaporation: Trends and variations (book chapter title), Book title: Remote ... Sensing / Book 2. InTech - Open Access Publisher. (accepted)
Chiu, L. S., S. Gao, and C.-L. Shie, 2012: Satellite-based ocean surface turbulent fluxes (book chapter title), Book title: Satellite-based Applications of Climate Change, Editors: J. Qu and A. Powell. CRC Press. (in review)
Hilburn, K., and C.-L. Shie, 2011: Decadal trends and variability in Special Sensor Microwave / Imager (SSM/I) brightness temperatures and Earth incidence angle, Abstract IN21A-1418, the 2011 AGU Fall Meeting, 5-9 December 2011, San Francisco, CA, 2011.
Lai, Q., L. Wu, L., and C.-L. Shie, 2012: Sea Surface Response to Typhoon Morakot (2009) and the Influence on its Activity, Journal of Tropical Meteorology. (in press)
Shie, C.-L., and K. Hilburn, 2011: A newly revived satellite-based global air-sea surface turbulent fluxes dataset and its dependence on the SSM/I brightness temperature, the 2011 IEEE IGARSS, Vancouver, Canada, 25-29 July. Extended Abstract (4 pp), Proceedings (published in CD).
Shie, C.-L., and K. Hilburn, 2011: A satellite-based global ocean surface turbulent fluxes dataset and the impact of the associated SSM/I brightness temperature, the 2011 EUMESAT Meteorological Satellite Conference, Oslo, Norway, 5-9 September. Proceedings, 8 pp. (Available online at: http://www.eumetsat.int/Home/Main/AboutEUMETSAT/Publications/Confer...)
Shie, C.-L., K. Hilburn, & L. S. Chiu, R. Adler, I-I Lin, E. Nelkin, J. Ardizzone, S. Gao, A. Savtchenko, 2011: The Goddard Satellite-based Surface Turbulent Fluxes (GSSTF) Datasets and the uncertainties/impact due to the SSM/I brightness temperature, Abstract IN21A-1417, the 2011 AGU Fall Meeting, 5-9 December 2011, San Francisco, CA, 2011.
Shie, C.-L., and collaborators, 2012: The Goddard Satellite-based Surface Turbulent Fluxes (GSSTF) datasets: updates, improvements and applications, the 18th Conference on Satellite Meteorology, Oceanography and Climatology (SatMOC) Conference, New Orleans, LA, 22-26 Jan 2012. (invited talk) (Abstract available at http://ams.confex.com/ams/92Annual/webprogram/Paper192220.html)
Chou, S.-H., E. Nelkin, J. Ardizzone, R. Atlas, and C.-L. Shie (2003) Surface turbulent heat and momentum fluxes over global oceans based on the Goddard satellite retrieval, version 2 (GSSTF2). J. Climate, 16, pp. 3256-3273, 2003.
Hilburn, K. A., and C-L. Shie (2011a) The impact of incidence angle variations on climate trends from simple water vapor retrieval algorithms, The 2011 EUMETSAT Meteorological Satellite Conference, Oslo, Norway, 5-9 September, 2011.
Hilburn, K. A., and C.-L. Shie (2011b) Decadal trends and variability in Special Sensor Microwave Imager (SSM/I) brightness temperatures and Earth incidence angle, report number 092811, Remote Sensing Systems, 53 pp.
Shie, C.-L., L. S. Chiu, R. Adler, P. Xie, I-I Lin, F.-C. Wang, E. Nelkin, R. Chokngamwong, W. S. Olson, and D. A. Chu (2009) A note on reviving the Goddard Satellite-based Surface Turbulent Fluxes (GSSTF) dataset, Advances in Atmospheric Sciences, 26(6), 1071-1080.
Shie, C.-L, and K. A. Hilburn, (2011) A Satellite-based Global Ocean Surface Turbulent Fluxes Dataset and the Impact of the Associated SSM/I Brightness Temperature, The 2011 EUMETSAT Meteorological Satellite Conference, Oslo, Norway, 5-9 September, 2011.
Shie, C.-L., K. A. Hilburn, L. S. Chiu, R. Adler, I-I Lin, E. Nelkin, and J. Ardizzone (2011) The Goddard Satellite-Based Surface Turbulent Fluxes Dataset --- Version 2c (GSSTF 2c). GSSTF2c of HDF-EOS5 format is scheduled for official distribution via NASA GES DISC by October 2011.