WANG He, ZHU Jianhua, LIN Mingsen, HUANG Xiaoqi, ZHAO Yili, CHEN Chuntao, ZHANG Youguang, PENG Hailong. First six months quality assessment of HY-2A SCAT wind products using in situ measurements[J]. Acta Oceanologica Sinica, 2013, 32(11): 27-33. doi: 10.1007/s13131-013-0374-5
Citation: WANG He, ZHU Jianhua, LIN Mingsen, HUANG Xiaoqi, ZHAO Yili, CHEN Chuntao, ZHANG Youguang, PENG Hailong. First six months quality assessment of HY-2A SCAT wind products using in situ measurements[J]. Acta Oceanologica Sinica, 2013, 32(11): 27-33. doi: 10.1007/s13131-013-0374-5

First six months quality assessment of HY-2A SCAT wind products using in situ measurements

doi: 10.1007/s13131-013-0374-5
  • Received Date: 2012-08-24
  • Rev Recd Date: 2012-12-10
  • The first Chinese microwave ocean environment satellite HY-2A, carrying a Ku-band scatteromenter (SCAT), was successfully launched in August 2011. The first quality assessment of HY-2A SCAT wind products is presented through the comparison of the first 6 months operationally released SCAT products with in situ data. The in situ winds fromtheNationalData Buoy Center (NDBC) buoys, R/V Polarstern, Aurora Australis, Roger Revelle and PY30-1 oil platform, were converted to the 10 m equivalent neutral winds. The temporal and spatial differences between the HY-2A SCAT and the in situ observations were limited to less than 5 min and 12.5 km. For HY-2A SCAT wind speed products, the comparison and analysis using the NDBC buoys yield a bias of -0.49 m/s, a root mean square error (RMSE) of 1.3 m/s and an increase negative bias with increasing wind speed observation above 3m/s. Although less accurate of HY-2A SCAT wind direction at low winds, the RMSE of 19.19° with a bias of 0.92° is found for wind speeds higher than 3 m/s. These results are found consistent with those fromR/Vs and oil platformcomparisons. Moreover, the NDBC buoy comparison results also suggest that the accuracy of HY-2A SCAT winds is consistent over the first half year of 2012. The encouraging assessment results over the first 6 months show that wind products from HY-2A SCAT will be useful for scientific community.
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  • Bentamy A, Croize-Fillon D, Perigaud C. 2008. Characterization of ASCAT measurements based on buoy and QuikSCAT wind vector observations. Ocean Science, 4: 265-274
    BourassaMA, FreilichMH, Legler DM, et al. 1997. Wind observations from new satellite and research vessels agree. EOS Transaction of American Geophysical Union, 78: 597
    BourassaMA, Legler DM, O'Brien J J, et al. 2003. SeaWinds validation with research vessels. Journal of Geophysical Research, 108: 3019, doi: 10.1029/2001JC001028
    Ebuchi N, Graber H C, Caruso M J. 2002. Evaluation of wind vectors observed by QuikSCAT/SeaWinds using ocean buoy data. Journal of Atmospheric and Oceanic Technology, 19: 2049-2062
    Fairall CW, Bradley E F, Hare J E, et al. 2003. Bulk parameterization of air sea fluxes: updates and verification for the COARE algorithm. Journal of Climate, 16: 571-590
    Jiang Xingwei, LinMingsen, Liu Jianqiang, et al. 2012. The HY-2 satellite and its preliminary assessment. International Journal of Digital Earth, 5: 266-281
    Jiang Xingwei, Song Qingtao. 2010a. Satellite microwave measurements of the global oceans and future missions. Science and Technology Review (in Chinese), 28: 105-111
    Jiang Xingwei, Song Qingtao. 2010b. A climatology of sea surface wind speed and wind stress fields constructed from scatterometer observations. Acta Oceanologica Sinica (in Chinese), 32: 83-90
    Mathewa T, Chakraborty A, Sarkar A, et al. 2012. Comparison of oceanic winds measured by space-borne scatterometers and altimeters. Remote Sensing Letters, 3: 715-720
    Mears C A, Smith D K,Wentz F J. 2001. Comparison of SSM/I and buoy-measured wind speeds from1987 to 1997. Journal of Geophysical Research,106: 11719-11729
    Meissner T, Wentz F J. 2006. Ocean retrievals for WindSat: radiative transfer model, algorithm, validation. Proceedings of the 9th SpecialistMeeting onMicrowave Radiometry and Remote Sensing Applications, San Juan, Puerto Rico: IEEE. 130-133
    Pickett M H, Tang W Q, Rosenfeld L K, et al. 2003. QuikSCAT satellite comparisons with nearshore buoy wind data off the U.S. west coast. Journal of Atmospheric and Oceanic Technology, 19: 1869-1879
    Quilfen Y, Chapron B, Vandemark D. 2001. The ERS scatterometer wind measurement accuracy: evidence of seasonal and regional biases. Journal of Atmospheric and Oceanic Technology, 18: 1684-1697
    Sánchez R F, Relvas P, Pires H O. 2007. Comparisons of ocean scatterometer and anemometer winds off the southwestern Iberian Peninsula. Continental Shelf Research, 27: 155-175
    Verspeek J, Stoffelen Ad, Portabella M, et al. 2010. Validation and calibration of ASCAT using CMOD5.n. IEEE Transactions on Geoscience and Remote Sensing, 48: 386-395
    Vogelzang J, Stoffelen Ad. 2012. Scatterometer wind vector products for application in meteorology and oceanography. Journal of Sea Research, 73: doi: 10.1016/j.seares.2012.05.002
    Weissman D E, Bourassa M A, Tongue J. 2002. Effects of rain rate and windmagnitude on SeaWinds scatterometer wind speed errors. Journal of Atmospheric and Oceanic Technology, 19: 738-746
    Wentz F J. 1990. SBIR phase Ⅱ report: West coast storm forecasting with SSM/I. Santa Rosa, Remote Sensing Systems, 378
    Yuan Xiaojun. 2004. High wind evaluation in the Southern Ocean. Journal of Geophysical Research, 109: D13101, doi: 10.1029/ 2003JD00417
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