DocumentCode :
144398
Title :
Wind retrieval processing for HY-2A microwave scatterometer
Author :
Juhong Zou ; Xuetong Xie ; Yi Zhang ; Mingsen Lin
Author_Institution :
Nat. Satellite Ocean Applic. Sevice, Beijing, China
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
5160
Lastpage :
5163
Abstract :
The research constructed a retrieval algorithm of routine wind fields for microwave scatterometer onboard HY-2A (HY-2A/SACT). To prepare the sigma0 measurements for conducting wind vectors retrieval, the time ordered L1B product was regrouped to the sub-track aligned wind vector cells (WVCs). Besides, the authors utilized an extension land and ice mask to simplify the surface flag process. The maximum-likelihood estimator (MLE) was applied to retrieve wind vector for each WVC with the NSCAT-2 as geophysical model function (GMF). Furthermore, to greatly improve the ambiguity removal skill, the research used circular median filter to remove the ambiguities, and the NCEP wind field as a background to re-initialized wind field comprising of ambiguous wind vectors. Wind vectors observed by HY-2A/SACT were evaluated by comparing with NDBC buoy observations. The RMS difference for wind speed was less than 2 m/s or 10%; while the RMS difference for wind direction was less than 20°comparing with wind direction. This result showed that the wind products provided by HY-2A/SCAT are able to meet the requirements of science and routine meteo users.
Keywords :
maximum likelihood estimation; microwave imaging; remote sensing by radar; wind; GMF; HY-2A microwave scatterometer; HY-2A/SACT; MLE; NCEP wind field; NDBC buoy observations; NSCAT-2; WVC; circular median filter; extension land/ice mask; geophysical model function; maximum-likelihood estimator; retrieval algorithm; routine wind fields; sigma0 measurements; subtrack aligned wind vector cells; surface flag process; time ordered L1B product; wind direction; wind retrieval processing; wind speed; wind vectors retrieval; Maximum likelihood estimation; Radar measurements; Sea measurements; Sea surface; Vectors; Wind speed; HY-2A; scatterometer; wind vector retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6947660
Filename :
6947660
Link To Document :
بازگشت