Validation of a new empirical SAR algorithum

Author

Song, Guiting ; Lehner, Susanne ; Schulz-Stellenfleth, Johannes ; Breit, Helko ; Grassl, Hartmut

Author_Institution

Univ. of Hamburg, Hamburg

fYear

2007

fDate

23-28 July 2007

Firstpage

3289

Lastpage

3292

Abstract

A new empirical algorithm-CWAVE [1] was developed at the German aerospace center (DLR). A global dataset of two years (September 1998 to December 2000) of ERS SAR data was reprocessed to more than one million SAR imagettes. Met ocean parameters like significant ocean wave height (H_s), wind speed (U₁₀) and mean wave period (T_m-10) are derived from the SAR images using the CWAVE algorithm [1]. The results are compared to collocated ERS altimeter data and in situ measurements from NOAA buoys and observations taken onboard the vessel Polarstern. It is shown that the SAR derived H_s is comparable in quality to altimeter measurements and can thus be used for real time assimilation.

Keywords

data assimilation; image processing; ocean waves; program verification; synthetic aperture radar; wind; AD 1998 09 to 2000 12; CWAVE algorithm; ERS SAR data; NOAA buoys; Polarstern vessel; SAR algorithm; data assimilation; mean wave period; significant ocean wave height; time 2 year; wind speed; Meteorology; Notice of Violation; Ocean waves; Predictive models; Remote sensing; Satellites; Sea measurements; Synthetic aperture radar; Weather forecasting; Wind speed; SAR; algorithm; wave height; wind speed;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International

Conference_Location

Barcelona

Print_ISBN

978-1-4244-1211-2

Electronic_ISBN

978-1-4244-1212-9

Type

conf

DOI

10.1109/IGARSS.2007.4423547

Filename

4423547