Title :
Generalized Variational Optimization Analysis for Improving Scatterometer Surface Wind Field
Author :
Zhang Liang ; Huang Si-Xun
Author_Institution :
Inst. of Meteorol., Univ. of Sci. & Technol. of PLA, Nanjing, China
Abstract :
In order to improve the wind field retrieval from microwave scatterometer, we firstly used SeaWinds Data Processor (SDP) model produced by KNMI to retrieve sea-surface wind from near real time data of SeaWinds which aboard on QuikSCAT in middle wind speed. Then we proposed generalized variational optimization analysis method to adjust the wind field, and the structure of the wind field was further improved. This paper offered a new idea for improving wind field retrieval from microwave scatterometer data.
Keywords :
atmospheric techniques; data assimilation; geophysics computing; wind; KNMI; QuikSCAT; SDP model; SeaWinds Data Processor model; generalized variational optimization analysis method; microwave scatterometer data; sea-surface wind retrieval; wind field structure; wind speed; Backscatter; Extraterrestrial measurements; Geophysical measurements; Information retrieval; Meteorology; Pollution measurement; Radar measurements; Sea measurements; Sea surface; Spaceborne radar;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5301516
