Reconstructed Wind Fields from Multi-Satellite Observations

Abstract

Abstract:We present and validate a method of reconstructing high-resolution sea surface wind fields from multi-sensor satellite data over the Grand Banks of Newfoundland off Atlantic Canada. Six-hourly ocean wind fields from blended products (including multi-satellite measurements) with 0.25° spatial resolution and 226 RADARSAT-2 synthetic aperture radar (SAR) wind fields with 1-km spatial resolution have been used to reconstruct new six-hourly wind fields with a resolution of 10 km for the period from August 2008 to December 2010, except July 2009 to November 2009. The reconstruction process is based on the heapsort bucket method with topdown search and the modified Gauss-Markov theorem. The result shows that the mean difference between the reconstructed wind speed and buoy-estimated wind speed is smaller than 0.6 m/s, and the standard deviation is smaller than 2.5 m/s. The mean difference in wind direction between reconstructed and buoy estimates is 3.7°; the standard deviation is 40.2°. There is fair agreement between the reconstructed wind vectors and buoy-estimated ones.

Analysis of coastal wind speed retrieval from CYGNSS mission using artificial neural network

“…weather stations, buoys and ships) have been playing important roles in marine forecasting, disaster prevention and mitigation. However, these traditional techniques are limited by small coverage and high cost (Tang et al, 2014).…”

“…Satellite remote sensing, both active (radar, scatterometer and altimeter) and passive (radiometer), has been providing significant understanding of ocean by providing global observations (Tang et al, 2014;Li et al, 2020). During the last decades, Global navigation satellite system reflectometry (GNSS-R) has become a valid option for ocean remote sensing (Garrison and Katzberg, 2000).…”

Assessment of the 2006-2012 Climatological Fields and Mesoscale Features from Regional Downscaling of CESM Data by WRF-Chem over Southeast Alaska

“…Reconstruction of wind speeds from satellite observations is possible over water; typically, such reconstructed wind speeds show differences to buoy-recorded wind speeds of less than 0.6 m/s with a standard deviation of about 2.5 m/s [71].…”

Validation of NOAA CyGNSS Wind Speed Product with the CCMP Data

“…Sea surface wind is an important physical parameter in oceanography, as it regulates the spatial distribution of air-sea fluxes of heat, moisture, gases, momentum, and other physical parameters, thus determining and maintaining the air-sea interactions and atmospheric dynamics [1][2][3][4]. In the process of ocean dynamics, sea surface wind is the most influential factor in the generation of ocean hydroynamic phenomena such as wind waves.…”

“…Measurements from ships may be contaminated by ship motion; many survey reports are geographically biased [1]. Satellite remote sensing is capable of systematically providing large-area synchronous measurements over the entire globe [4,[10][11][12][13], which complement existing techniques. High-spatial-resolution sea surface wind fields can be provided by synthetic aperture radar (SAR).…”