On the recent years wave reanalyses have become popular as a powerful source of information for wave climate research andengineering applications. These wave reanalysis providecontinuous time-series reanalyses provide continuous time series of offshore wave parameters, nevertheless, in coastal areas or shallow water, waves arepoorly described because spatial resolution is not detailed.By means of wave downscaling, it is possible to increase spatial resolution in high temporal coverage simulations, usingforcing from wind and offshore wave databases. Meanwhile,the reanalysis wave databases are enough to describe thewave climate on at the limit of simulations, wind reanalysis; wind reanalyses at an adequate spatial resolution to describe the wind structure near the coast are not frequently available. Remote Sensing Synthetic Aperture Radar sensing syntheticaperture radar (SAR) has the ability to detect sea surface signatures and estimate wind field fields at high resolution (up to 300 m) and high frequency.In this work a wave downscaling is done on the NorthernAdriatic sea, using an northern Adriatic Sea, using a hybrid methodology and global wave and wind reanalysis as forcing. The wave fields produced were compared to wave fieldsproduced with SAR winds that represent the two dominantwind regimes in the area: the Bora bora (ENE direction) and Sirocco (SE direction). Results show a good correlation between the waves forced with reanalysis wind and SAR wind. In addition, a validation of reanalysis is shown. This research demonstrates how Earth Observation products, asSAR wind fields, can be successfully up-taken into oceanographic modeling, producing similar downscaled wave fieldfields when compared to waves forced with reanalysis wind.
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