DocumentCode :
3054442
Title :
Quantitative analysis of Bora events in the Adriatic Sea by means of SAR-based techniques and the ETA model
Author :
Adamo, M. ; De Carolis, Giacomo ; Morelli, Sandra ; Pasquariello, G. ; Rana, F.M.
Author_Institution :
Inst. of Intell. Syst. for Autom. (ISSIA), Bari, Italy
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
1258
Lastpage :
1261
Abstract :
Bora is the north-eastern wind which, blowing in the Adriatic Sea from NE and interacting with the orography of the Croatian Dinaric Alps, is characterized by multiple surface intense wind jets [1]. The exceptional Bora events of the beginning of February 2012 over the Gulf of Trieste have been studied by means of two ASAR Wide Swath (WS) images, acquired on the 2nd and 5th of February. Two different methods to extract wind direction from SAR images have been exploited to catch the spatial dynamic of this extreme phenomenon. In particular, SAR sea surface wind directions obtained with Local Gradient (LG) method [2] and the relatively novel technique based on the use of 2D continuous wavelet transform (CWT2) [3] have been analyzed. The retrieved wind directions extracted by the above mentioned methods have been used to estimate the wind speeds with a classical inversion procedure applied to the forward semi-empirical backscatter model CMOD-5 [4]. Results will be compared with wind fields simulated by the atmospheric ETA model [5].
Keywords :
oceanographic regions; remote sensing by radar; synthetic aperture radar; wind; 2D continuous wavelet transform; AD 2012 02; ASAR Wide Swath images; Adriatic sea; Bora event quantitative analysis; CMOD-5 model; Croatian Dinaric Alps; Gulf of Trieste; Local Gradient method; SAR images; SAR sea surface wind directions; SAR-based techniques; atmospheric ETA model; forward semiempirical backscatter model; north-eastern wind; surface intense wind jets; Atmospheric modeling; Continuous wavelet transforms; Numerical models; Sea surface; Synthetic aperture radar; Wind forecasting; ETA; Local gradient; Wavelets; Wind fields;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723009
Filename :
6723009
Link To Document :
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