Version 2 Goddard Satellite-Based Surface Turbulent Fluxes (GSSTF) DataEntry ID: GES_DISC_GISSTF_V002
Abstract: [Source: NASA GES-DISC, ftp://disc2.nascom.nasa.gov/data/TRMM/Ancillary/gsstf/gsstf2.0/gsst... ]
The data set is referred to as the "GSSTF 2.0 Global Ocean Gridded Data
Set." GSSTF stands for Goddard Satellite-Based Surface Turbulent Fluxes.
The data set currently contains a suite of 3 products. The ... first two
products provide (i) daily and (ii) monthly-mean, global ocean 1-degree
latitude by 1-degree longitude gridded values of surface fluxes and some
related quantities based mainly on SSM/I data (Special Sensor Microwave/
Imager; onboard F8, F10, F11, F13, and F14 satellites) over the 13.5-year
period of July 1987 through December 2000. Note that monthly-mean data were
produced using at least 10 available daily values.
The third product provides (iii) the 1988-2000 monthly-mean and annual-mean
climatology data for the same parameters. The monthly-mean climatology data
were produced using the interpolated (grids with missing value being
interpolated from their neighboring 8 grids by a distance weight) individual
monthly-mean data. An aggressive interpolation scheme was used, with
newly-interpolated grid boxes serving as input for filling in additional
grid boxes, in order to maximize the number of grid boxes with data. The
climatology files thus have more grid boxes with non-missing data values
than the individual monthly and daily files. The annual-mean climatology
was then generated based on those 12 monthly-mean climatologies.
The daily, monthly-mean, and annual- and monthly-mean climatology products
all include eight variables:
(1) "E" : latent heat flux (W/m**2),
(2) "STu": zonal wind stress (N/m**2),
(3) "STv": meridional wind stress (N/m**2),
(4) "H" : sensible heat flux (W/m**2),
(5) "Q" : surface air (~10-m) specific humidity (g/kg),
(6) "WB" : lowest 500-m precipitable water (g/cm**2),
(7) "U" : 10-m wind speed (m/s),
(8) "DQ" : sea-air humidity difference (g/kg).
WB is retrieved from the SSM/I radiances using the method of Schulz et al.
(1993), while U is an SSM/I product derived by Wentz (1997). Q is derived
from WB and water vapor amount in the entire atmospheric column of Wentz
(1997) using the method developed by Chou et al. (1995, 1997). DQ is
derived from Q and sea surface temperature (SST) of the NCEP reanalysis
(Kalnay et al. 1996), including a 2% reduction in saturation specific
humidity at SST due to salinity effect. The turbulent fluxes (wind stress,
E, and H) are then computed from U, DQ, and sea-air temperature difference
of NCEP reanalysis based on surface layer similarity (Chou 1993; with the
flux-profile relationships of Dyer (1974) but changing the von Karman
constant from 0.41 to 0.4). Wind stress direction is taken from 10-m wind
direction derived from SSM/I 10-m wind speed (Wentz 1997), 10-m wind field
of NCEP reanalysis, and wind measurements from ships and buoys (see Atlas
et al. 1996) produced at NASA GMAO by Atlas' group.
The main refereed citation for the data set is Chou et al. (2003)
(all references are listed in section 10).
Data Set Citation
Dataset Originator/Creator: S.-H. Chou, E.J. Nelkin, J. Ardizzone, R.M. Atlas, and C.-L. Shie
Dataset Title: Version 2 Goddard Satellite-Based Surface Turbulent Fluxes (GSSTF) Data
Dataset Release Place: Greenbelt, MD, USA
Dataset Publisher: NASA Goddard Earth Sciences Data and Information Services Center (GES-DISC)
Version: 2.0Online Resource: http://disc.sci.gsfc.nasa.gov/precipitation/data-holdings/access/gs...
Start Date: 1987-07-01Stop Date: 2000-12-31
Start Date: 1988-01-01Stop Date: 2000-12-31
Latitude Resolution: 1 Degree
Longitude Resolution: 1 Degree
Horizontal Resolution Range: 100 km - < 250 km or approximately 1 degree - < 2.5 degrees
Temporal Resolution: Monthly
Temporal Resolution Range: Monthly - < Annual
ATMOSPHERE > ATMOSPHERIC WATER VAPOR > HUMIDITY > SPECIFIC HUMIDITY
ATMOSPHERE > ATMOSPHERIC WATER VAPOR > HUMIDITY > SEA-AIR HUMIDITY DIFFERENCE
ATMOSPHERE > ATMOSPHERIC WATER VAPOR > PRECIPITABLE WATER > LOWEST 500-M PRECIPITABLE WATER
ATMOSPHERE > ATMOSPHERIC WINDS > WIND STRESS > ZONAL WIND STRESS
OCEANS > OCEAN HEAT BUDGET > HEAT FLUX > LATENT HEAT FLUX
OCEANS > OCEAN HEAT BUDGET > HEAT FLUX > SENSIBLE HEAT FLUX
OCEANS > OCEAN WINDS > SURFACE WINDS > 10 M WINDS
OCEANS > OCEAN WINDS > WIND STRESS
OCEANS > OCEAN WINDS > WIND STRESS > MERIDIONAL WIND STRESS
Use Constraints Please Cite the data set creators if you use this data.
Data Set Progress
Role: TECHNICAL CONTACT
Email: Eric.J.Nelkin at nasa.gov
NASA Goddard Space Flight Center Code 613.1
Province or State: MD
Postal Code: 20771
Role: TECHNICAL CONTACT
Email: chung-lin.shie-1 at nasa.gov
Role: DIF AUTHOR
Email: Scott.A.Ritz at nasa.gov
NASA Goddard Space Flight Center Global Change Master Directory
Province or State: Maryland
Postal Code: 20771
Atlas, R., R.N. Hoffman, S.C. Bloom, J.C. Jusem, and J. Ardizzone, 1996: A multiyear global surface wind velocity dataset using SSM/I wind obser-vations. Bull. Amer. Meteor. Soc., 77, 869-882.
Chou, S.-H., 1993: A comparison of airborne eddy correlation and bulk aerodynamic methods for ocean-air turbulent fluxes during cold-air outbreaks. Bound.-Layer Meteor., ... 64, 75-100.
Chou, S.-H., R.M. Atlas, C.-L. Shie, and J. Ardizzone, 1995: Estimates of surface humidity and latent heat fluxes over oceans from SSM/I data. Mon. Wea. Rev., 123, 2405-2425.
Chou, S.-H., C.-L. Shie, R.M. Atlas, and J. Ardizzone, 1997: Air-sea fluxes retrieved from special sensor microwave imager data. J. Geophys. Res., 102, 12705-12726.
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 retrievals, version 2 (GSSTF2). J. Climate, 16, 3256-3273.
Dyer, A.J., 1974: A review of flux-profile relationships. Bound.-Layer Meteor., 7, 363-372.
Kalnay, E. and coauthors, 1996: The NCEP/NCAR 40-year reanalysis project. Bull. Amer. Meteor. Soc., 77, 437-471.
Schulz, J., P. Schluessel, and H. Grassl, 1993: Water vapor in the atmospheric boundary layer over oceans from SSM/I measurements. Int. J. Remote Sens., 14, 2773-2789.
Wentz, F.J., 1997: A well calibrated ocean algorithm for SSM/I. J. Geophys. Res., 102, 8703-8718.
GSSTF 2.0 Global Ocean Gridded Data Set
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Creation and Review Dates
DIF Creation Date: 2008-11-03
Last DIF Revision Date: 2011-07-26