Wind and wave measurements using complex ERS-2 SAR wave mode data

A global dataset of complex synthetic aperture (SAR) images is processed fr om wave mode raw data acquired by the ERS-2 satellite. Using these data, di fferent algorithms for wind and wave measurements recently developed in vie w of future ENVISAT ASAR data are analyzed on a statistical basis. Different aspects of complex SAR wave mode processing with the DLR processo r BSAR are discussed and global statistics of processing parameters are pre sented. Single-look complex (SLC) imagettes give the opportunity to apply multilook techniques in range as well as in azimuth, Such methods are used to reduce speckle noise or to analyze the time evolution of the ocean surface cross section during SAR integration time. A global analysis of different new alg orithms for wind and ocean wave measurements, taking advantage of SLC data, is given. Wind speed is estimated with the azimuthal cross-correlation alg orithm (CCA), As a modification of the existing CCA, range multilooking is used to deal with the speckle bias. Homogeneity of the imagettes is conside red, Wind speed is derived from mean SAR image intensities taking into acco unt wind direction (CMOD algorithm). Comparison with collocated ERS-2 scatt erometer data shows reasonable agreement with the CCA and good agreement fo r the CMOD approach, Using imagettes instead of image power spectra allows us to study ocean sur face features caused by natural slicks, sea ice, or atmospheric processes. The impact of these phenomena on SCAT measurements is considered. Cross spectral methods are used to derive the ocean wave propagation direct ion from complex imagettes on a global basis. Comparison with model data pr ovided by the European Center for Medium Range Weather Forecast (ECMWF), Re ading, U.K., shows good agreement.