Abstract
A primary objective of this study is to demonstrate a methodology that can potentially be used to generate high spatial resolution gridded vector wind fields for the northwest Atlantic on synoptic time scales. This task is accomplished using optimal interpolation (OI) to blend satellite wind data from European remote sensing (ERS-2) satellite scatterometers, National Aeronautics and Space Administration (NASA) scatterometers (NSCAT), and TOPEX/Poseidon and ERS-2 altimeters with numerical weather prediction (NWP) model wind estimates. The NWP model wind fields are produced using the MC2 atmospheric model (Canadian mesoscale compressible community atmospheric model). The grid for these fields is 0.25°. OI correlation functions and variances are derived from remotely sensed data. A second objective of the study is to provide a methodology for validation of synthetic aperture radar (SAR) derived vector winds from RADARSAT-1 images collected during the 1997 Labrador Sea Deep Convection Experiment (LSDCE). These winds are derived from the observed radar cross section and a scatterometer wind retrieval model. The validation of the SAR-derived winds is based on the OI winds and in situ ship-based winds.
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