DocumentCode :
2200260
Title :
Ocean surface wind retrieval from stationary and moving platform marine radar data
Author :
Lund, Björn ; Graber, Hans C. ; Horstmann, Jochen ; Terrill, Eric
Author_Institution :
RSMAS, Univ. of Miami, Miami, FL, USA
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
2790
Lastpage :
2793
Abstract :
In this paper we evaluate different methods to retrieve wind information from marine radar data. In contrast to traditional in-situ sensors, marine radar wind data cover a large area and therefore are much less susceptible to air flow distortion by the platform. Unlike previous studies that have been limited to fixed-platform data, this study includes data from a quasi-stationary and moving platform. Images collected with a standard marine HH-polarized X-band radar operating at grazing incidence angle exhibit a single intensity peak in the upwind direction. Marine radar images that are averaged over about 1 min may also show wind streaks, which are usually well-aligned with the mean surface wind direction. Here, we use both phenomena to retrieve wind directional information and compare results to determine the best approach under the given conditions. To retrieve wind speeds, an empirical model function which relates average backscatter intensity to wind speed is developed.
Keywords :
atmospheric boundary layer; atmospheric techniques; oceanography; remote sensing by radar; velocity measurement; wind; empirical model function; grazing incidence angle operation; marine HH-polarized X-band radar; marine radar images; mean surface wind direction; moving platform marine radar data; ocean surface wind retrieval; quasistationary platform marine radar data; wind speed retrieval; Backscatter; Radar antennas; Radar imaging; Sea measurements; Standards; Wind speed; Marine radar; sea surface; signal analysis; wind;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6350853
Filename :
6350853
Link To Document :
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