Title

Ocean Surface Wind Vector Retrievals Using Active And Passive Microwave Sensing On Adeos-Ii

Keywords

Active Passive Sensing; ADEOS-II; AMSR; Ocean wind vector retrieval; Scatterometer; SeaWinds

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. © 2005 IEEE.

Publication Date

12-1-2005

Publication Title

International Geoscience and Remote Sensing Symposium (IGARSS)

Volume

6

Number of Pages

4006-4009

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/IGARSS.2005.1525792

Socpus ID

33745726315 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33745726315

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