DocumentCode :
26679
Title :
L-Band Passive and Active Microwave Geophysical Model Functions of Ocean Surface Winds and Applications to Aquarius Retrieval
Author :
Yueh, Simon H. ; Wenqing Tang ; Fore, Alexander G. ; Neumann, Gerhard ; Hayashi, Ayako ; Freedman, Avraham ; Chaubell, Julian ; Lagerloef, G.S.E.
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Volume :
51
Issue :
9
fYear :
2013
fDate :
Sept. 2013
Firstpage :
4619
Lastpage :
4632
Abstract :
The L-band passive and active microwave geophysical model functions (GMFs) of ocean surface winds from the Aquarius data are derived. The matchups of Aquarius data with the Special Sensor Microwave Imager (SSM/I) and National Centers for Environmental Prediction (NCEP) winds were performed and were binned as a function of wind speed and direction. The radar HH GMF is in good agreement with the PALSAR GMF. For wind speeds above 10 m·s-1, the L-band ocean backscatter shows positive upwind-crosswind (UC) asymmetry; however, the UC asymmetry becomes negative between about 3 and 8 m·s-1. The negative UC (NUC) asymmetry has not been observed in higher frequency (above C-band) GMFs for ASCAT or QuikSCAT. Unexpectedly, the NUC symmetry also appears in the L-band radiometer data. We find direction dependence in the Aquarius TBV, TBH, and third Stokes data with peak-to-peak modulations increasing from about a few tenths to 2 K in the range of 10-25- m·s-1 wind speed. The validity of the GMFs is tested through application to wind and salinity retrieval from Aquarius data using the combined active-passive algorithm. Error assessment using the triple collocation analyses of SSM/I, NCEP, and Aquarius winds indicates that the retrieved Aquarius wind speed accuracy is excellent, with a random error of about 0.75 m·s-1. The wind direction retrievals also appear reasonable and accurate above 10 m·s-1. The results of the error analysis indicate that the uncertainty of the GMFs for the wind speed correction of vertically polarized brightness temperatures is about 0.14 K for wind speed up to 10 m·s-1.
Keywords :
atmospheric temperature; error analysis; oceanographic techniques; radiometry; wind; ASCAT; Aquarius data; L-band ocean backscatter; L-band passive model functions; L-band radiometer data; NCEP; NUC symmetry; National Centers-for-Environmental Prediction; PALSAR GMF; QuikSCAT; Stokes data; active microwave geophysical model functions; combined active-passive algorithm; error assessment; ocean surface winds; peak-to-peak modulations; positive upwind-crosswind asymmetry; radar HH GMF; salinity retrieval; special sensor microwave imager; vertically polarized brightness temperatures; wind direction function; wind speed function; L-band; Microwave radiometry; Ocean temperature; Radar; Sea surface; Wind speed; Microwave remote sensing; ocean wind; radar; radiometer;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2013.2266915
Filename :
6553597
Link To Document :
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