Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/3040
Title: Ocean surface wind vector retrievals using active and passive microwave sensing on ADEOS-II
Authors: Kasparis, Takis 
Soisuvarn, Seubson 
Jones, Wilma L. 
metadata.dc.contributor.other: Κασπαρής, Τάκης
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Keywords: Geoscience;Image converters;Microwaves;Oceanography;Meteorological satellites;Radiometers
Issue Date: Jul-2005
Source: International Geoscience and Remote Sensing Symposium (IGARSS), 2005, vol. 6, pp. 4006-4009
Conference: International Geoscience and Remote Sensing Symposium (IGARSS) 
Abstract: Conventional "multiple-azimuth-look" space-borne scatterometers have been used to retrieve ocean surface wind vector for over three decades. However, the requirement for the antenna to view both forward and aft has made the scatterometer a difficult instrument to accommodate on remote sensing satellites with multiple earth-viewing sensors. In this paper, we present a new technique for ocean surface wind vector measurement using a "single-azimuth-look" combined active and passive microwave sensing from space. We demonstrate this methodology by using actual measurements of the ocean normalized radar cross section (sigma-0) and the radiometer-inferred wind magnitude respectively from the SeaWinds scatterometer and the Advanced Microwave Scanning Radiometer (AMSR) on-board the Advanced Earth Observing Satellite (ADEOS-II). For the scatterometer measurements, only the forward look, in the same direction as the AMSR measurements, is used. Owing to the biharmonic nature of the scatterometer anisotropic Geophysical Model Function (GMF), the retrieved wind direction consists of as many as four possible wind directions (aliases) at each wind vector cell (WVC). Alias selection is presented and performance is measured by comparison of the selected to the standard wind vector product from SeaWinds. Statistical analyses are performed and results show that it is feasible to measure ocean surface wind vector using single look geometry.
URI: https://hdl.handle.net/20.500.14279/3040
ISBN: 0-7803-9050-4
ISSN: 2153-7003
DOI: 10.1109/IGARSS.2005.1525792
Rights: © 2005 IEEE
Type: Conference Papers
Affiliation: University of Central Florida 
Affiliation : University of Central Florida 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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