An improved NASA Scatterometer geophysical model function for tropical cyclones

Author

Jones, W. Linwood ; Park, Jun-Dong ; Donnelly, W.J. ; Carswell, J.R. ; McIntosh, R.E. ; Zec, Josko ; Yueh, Simon

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Central Florida, Orlando, FL, USA

Volume

4

fYear

1998

fDate

6-10 Jul 1998

Firstpage

1994

Abstract

The NASA Scatterometer (NSCAT) has been used to infer ocean surface wind vectors in tropical cyclones, but these measurements have generally under-estimated the high winds. This research provides an improved relationship, between the radar backscatter and the ocean surface wind vector, known as the geophysical model function (GMF). Satellite and airborne scatterometer backscatter measurements, obtained during tropical cyclones, are used to develop a neural network based GMF. NSCAT wind retrievals in a Pacific typhoon are presented that yield higher surface wind speeds for this GMF than produced using the current NSCAT GMF (NSCATI)

Keywords

atmospheric techniques; backscatter; meteorological radar; neural nets; radar cross-sections; radar theory; remote sensing by radar; spaceborne radar; storms; wind; NASA Scatterometer; Pacific typhoon; geophysical model function; high winds; meteorological radar; neural net; neural network; radar backscatter; radar remote sensing; radar scattering; radar scatterometry; storm; surface wind vector; tropical atmosphere; tropical cyclone; wind; wind retrieval; Backscatter; Geophysical measurements; NASA; Oceans; Radar measurements; Satellites; Sea measurements; Sea surface; Spaceborne radar; Tropical cyclones;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International

Conference_Location

Seattle, WA

Print_ISBN

0-7803-4403-0

Type

conf

DOI

10.1109/IGARSS.1998.703719

Filename

703719