Title :
Simultaneous Measurements by Advanced SAR and Radar Altimeter on Potential Improvement of Ocean Wave Model Assimilation
Author :
Xiao-ming Li ; Lehner, S. ; Bruns, Thomas
Author_Institution :
Remote Sensing Technol. Inst., German Aerosp. Center (DLR), Wessling, Germany
Abstract :
Simultaneous measurements of significant wave height (SWH) obtained from two independent active microwave sensors of Radar Altimeter 2 (RA-2) and Advanced Synthetic Aperture Radar (ASAR) onboard the ENVIronmental SATellite (ENVISAT) are used for a global verification of ocean wave models (WAMs). In the present study, SWH is retrieved from ASAR wave mode data using the empirical algorithm called C-band WAVE algorithm for ENVISAT, which is capable of representing total SWH irrespective of the cutoff of SAR. Comparisons of two radar measurements with the reanalyses ERA-Interim model (with assimilation of RA-2 measurements) and the German operational WAM (Deutscher Wetterdienst Global Sea wave Model, without assimilation before 2008) show that both WAMs agree well with ASAR and RA-2 measurements. However, the discrepancies of agreement indicate to which extent that the assimilation of RA-2 measurements can improve the performance of WAMs. Moreover, differences in the comparisons of ASAR and RA-2 measurements with the same WAM of ERA-Interim reveal that, although assimilation of RA-2 significantly improves the accuracy of model on grids near the RA-2 tracks, the improvement decreases along with the increase of distance between model grids and RA-2 tracks.
Keywords :
data assimilation; height measurement; ocean waves; remote sensing by radar; synthetic aperture radar; Advanced Synthetic Aperture Radar; C-band WAVE algorithm; ENVISAT; ENVIronmental SATellite; ERA Interim model; RA-2 measurements; Radar Altimeter 2; active microwave sensors; advanced SAR; ocean wave model assimilation; ocean wave models; significant wave height; Radar Altimeter (RA); sea surface wave; synthetic aperture radar (SAR); wave modeling;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2013.2262137