Research Of Multi-source Satellite Sea Surface Wind Validation And Data Fusion

As an important research in ocean and atmospheric science,sea surface wind(SSW)has its extremely important research significance.Currently,both conventional and remote sensing observations are the two main methods of observing SSW.The conventional observation has the advantages of short measurement interval,high data precision and closest to the true value.But owing that it is subject to the means of observation,the conventional observation can only obtain the wind data around the sensor,so it has the defects of uneven spatial distribution,strong dispersion and limited data volume.Since the 20th century,the development of satellite remote sensing technology has brought about qualitative changes in the acquisition of global SSW.However,since the SSW from satellite is a kind of product from indirect observation,we need to validate its quality.In addition,although satellites provide a large amount of SSW data,the SSW provided by a single satellite sensor always has inevitable defects in space-time coverage and space-time resolution.Therefore,it is of great significance to study how to integrate these multi-source satellite SSW so as to implement their complementary advantages.The research area selected in this paper is the west coast of the United States(30°?50°N,118°?140°W),and the validation and data fusion research of multi-source satellite SSW are carried out.In the validation research,we proposed a program which can be applied in terrible ocean environment,and applied it to two microwave scatterometers,QuikSCAT(SeaWinds on QuikSCAT)SSW from July 1999 to November 2009 and ASCAT(The Advanced SCATterometer)SSW from March 2007 to December 2017,one microwave radiometer,WindSat SSW from February 2003 to December 2017,and two synthetic aperture radars,Radarsat-1 and Envisat ASAR(Advanced Synthetic Aperture Radar)with total of 40 SAR SSW images.The results and differences between the proposed program and the conventional buoy-based observation validation were compared,and the suitability analysis under different wind speed,rainfall,time and offshore distance conditions was carried out.Based on the results of validation and suitability analysis of multi-source satellite SSW,in this paper,we proposed a space-time weighted fusion algorithm based on maximum likelihood estimation,and used the algorithm for 3 kinds of SSW in 2008.The effectiveness and advantages of the proposed algorithm were verified by experimental comparison and analysis.The accuracy of the fusion results,spatial coverage comparison and comparison with single SSW were obtained.Finally,a US West Coast sea area fusion SSW in 2008 with spatial resolution of 0.25°×0.25° was obtained.