DocumentCode
2122764
Title
Ocean wind fields retrieved from radar-image sequences
Author
Dankert, Heiko ; Horstmann, Jochen ; Koch, Wolfgang ; Rosenthal, Wolfgang
Author_Institution
GKSS Res. Center, Geesthacht, Germany
Volume
4
fYear
2002
fDate
24-28 June 2002
Firstpage
2150
Abstract
An algorithm is presented for retrieving wind vectors from radar-image sequences acquired by a standard nautical radar near at near grazing incidence. The radar operates at X-band (9.5 GHz) with horizontal and vertical polarization in transmit and receive. The algorithm consists of two parts, one for wind direction and another for wind speed retrieval. Wind directions are locally extracted from wind induced streaks, which are approximately in line with the mean wind direction. The algorithm assumes wind direction as normal to the gradient of the amplitude image, which is approximated by finite differences over an appropriate length. The resulting wind direction is taken as normal to the retrieved local gradients. Wind speeds are derived from the radar cross section, by parameterization of its dependency on the wind vector using a neural network. The algorithm was tested and validated using data from a radar mounted in the North Sea. The applicability of nautical radars for wind retrieval is shown for both tower based and ship borne (moving) instruments.
Keywords
atmospheric techniques; geophysical signal processing; image sequences; meteorological radar; radar signal processing; remote sensing by radar; wind; 9.5 GHz; SHF; X-band; algorithm; boundary layer; grazing incidence; marine atmosphere; marine radar; measurement technique; meteorological radar; nautical radar; neural net; neural network; radar cross section; radar image sequence; radar remote sensing; wind; wind direction; wind induced streak; wind speed; wind vector; Finite difference methods; Instruments; Marine vehicles; Neural networks; Oceans; Polarization; Poles and towers; Radar cross section; Testing; Wind speed;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN
0-7803-7536-X
Type
conf
DOI
10.1109/IGARSS.2002.1026475
Filename
1026475
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