HY-2A散射计风场在南海海域的检验和分析
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摘要
利用南海浮标及海洋观测站的实测资料作为真实值对HY-2A散射计反演的风矢量作多角度对比分析,结果表明:HY-2A散射计风速与浮标(海洋站)实测风速数据具有良好的相关性,散射计观测风速普遍大于浮标(海洋站)实测风速;风速误差符合正态分布,风力≤3级时,风向的平均绝对误差最大;4~5级时风速平均偏差和平均绝对偏差均最小。逐月统计发现:1—3月的风速平均偏差最小,两者基本吻合。7—9月的风速平均偏差最大,12月的风向平均偏差最小。另外,东北向的风速平均偏差最小,西北向风速平均偏差最大;远海站点的风速和风向检验误差均小于近海站点。以上结论表明HY-2A散射计风场资料在南海海域具有可信性,为HY-2A散射计风场在南海的应用和研究提供依据。
The observation data from buoys and Ocean stations in the South China Sea(SCS) is used to evaluate and analyze the wind vector from HY-2A scatterometer. The results show: the wind speed values from HY-2A generally perform higher than the observed data, while there still exists a good correlation between satellite and in-situ data. The wind speed error is normal distribution. The error of wind direction appears different distribution features under different wind power level. The mean absolute error reaches the maximum value when the wind force ≤3 level, while the mean bias and mean absolute bias are the smallest at 4-5 level. The wind speed and direction error presents seasonal variation, with the lowest speed bias value from January to March and highest from July to September, and the lowest mean bias value for wind direction at December. The mean bias of wind speed mean has the smallest value under northeast direction, and reaches at the biggest value under northwest direction. The error for wind speed and wind direction at offshore site are less than the onshore site. The wind data of HY-2A scattering meter have credibility in the SCS and provide basis for the application and research of HY-2A scattering meter wind field in the SCS.
The observation data from buoys and Ocean stations in the South China Sea(SCS) is used to evaluate and analyze the wind vector from HY-2A scatterometer. The results show: the wind speed values from HY-2A generally perform higher than the observed data, while there still exists a good correlation between satellite and in-situ data. The wind speed error is normal distribution. The error of wind direction appears different distribution features under different wind power level. The mean absolute error reaches the maximum value when the wind force ≤3 level, while the mean bias and mean absolute bias are the smallest at 4-5 level. The wind speed and direction error presents seasonal variation, with the lowest speed bias value from January to March and highest from July to September, and the lowest mean bias value for wind direction at December. The mean bias of wind speed mean has the smallest value under northeast direction, and reaches at the biggest value under northwest direction. The error for wind speed and wind direction at offshore site are less than the onshore site. The wind data of HY-2A scattering meter have credibility in the SCS and provide basis for the application and research of HY-2A scattering meter wind field in the SCS.
引文
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[12]朱金台,董晓龙,云日升.利用浮标和NWP风场对HY-2散射计联合定标验证[J].电子学报,2015,43(11):2237-2242.
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[14]周嘉陵,沈树勤,曾明剑,等.Quik SCAT风矢量资料在黄海洋面的真实性检验及应用[J].科学技术与工程,2010,10(35):8670-8675.
[15]王东良,姚小海,孟雷,等.海洋二号卫星散射计风场产品真实性检验及分析[J].海洋预报,2014,31(4):47-53.
[16]王慧鹏,王春明,项杰,等.Quik SCAT卫星散射计矢量风检验及南海月平均风场特征分析[J].气象科学,2014,34(1):54-59.
[17]苗春生,高雅,王坚红.HY-2卫星近海面风场资料融合及在海上天气系统分析中的应用[J].海洋预报,2015,32(4):12-22.
[18]刘宇昕,张毅,王兆徽,等.基于ASCAT微波散射计风场与NCEP再分析风场的全球海洋表面混合风场[J].海洋预报,2014,31(3):10-18.
[19]Li D W,Shen H.Evaluation of wind vectors observed by HY-2A scatterometer using ocean buoy observations,ASCAT measurements,and numerical model data[J].Chinese Journal of Oceanology and Limnology,2015,33(5):1191-1200.
[2]杨超宇,唐丹玲,叶海彬.基于GF-4遥感数据的叶绿素浓度反演算法研究[J].热带海洋学报,2017,36(5):33-39.
[3]韩伟孝,杨俊钢,王际朝.基于浮标数据的卫星雷达高度计海浪波高数据评价与校正[J].海洋学报,2016,38(11):73-89.
[4]Bracalente E M,Grantham W L,Boggs D H,et al.The SASS scattering coefficient algorithm[J].IEEE Journal of Oceanic Engineering,1980,5(2):145-154.
[5]Jones W L,Schroeder L C,Boggs D H,et al.The seasat-A satellite scatterometer:the geophysical evaluation of remotely sensed wind vectors over the ocean[J].Journal of Geophysical Research:Atmospheres,1982,87(C5):3297-3317.
[6]Ebuchi N,Graber H C,Caruso M J.Evaluation of wind vectors observed by Quik SCAT/Sea Winds using ocean buoy data[J].Journal of Atmospheric and Oceanic Technology,2002,19(12):2049-2062.
[7]Pensieri S,Bozzano R,Schiano M E.Comparison between Quik SCAT and buoy wind data in the Ligurian Sea[J].Journal of Marine Systems,2010,81(4):286-296.
[8]林明森,张毅,宋清涛,等.HY-2卫星微波散射计在西北太平洋台风监测中的应用研究[J].中国工程科学,2014,16(6):46-53.
[9]张婷,张杰,杨俊钢,等.卫星散射计与海面平台所测的风场数据比较[J].海洋学研究,2013,31(2):45-51.
[10]张婷,张杰,王进,等.HY-2扫描辐射计风速数据产品与平台基观测数据的比较研究[J].海洋科学,2014,38(6):43-46.
[11]穆博,林明森,彭海龙,等.HY-2卫星微波散射计反演风矢量产品真实性检验方法研究[J].中国工程科学,16(6):39-45.
[12]朱金台,董晓龙,云日升.利用浮标和NWP风场对HY-2散射计联合定标验证[J].电子学报,2015,43(11):2237-2242.
[13]Xing J Y,Shi J C,Lei Y H,et al.Evaluation of HY-2A scatterometer wind vectors using data from buoys,ERA-interim and ASCAT during 2012-2014[J].Remote Sensing,2016,8(5):390.
[14]周嘉陵,沈树勤,曾明剑,等.Quik SCAT风矢量资料在黄海洋面的真实性检验及应用[J].科学技术与工程,2010,10(35):8670-8675.
[15]王东良,姚小海,孟雷,等.海洋二号卫星散射计风场产品真实性检验及分析[J].海洋预报,2014,31(4):47-53.
[16]王慧鹏,王春明,项杰,等.Quik SCAT卫星散射计矢量风检验及南海月平均风场特征分析[J].气象科学,2014,34(1):54-59.
[17]苗春生,高雅,王坚红.HY-2卫星近海面风场资料融合及在海上天气系统分析中的应用[J].海洋预报,2015,32(4):12-22.
[18]刘宇昕,张毅,王兆徽,等.基于ASCAT微波散射计风场与NCEP再分析风场的全球海洋表面混合风场[J].海洋预报,2014,31(3):10-18.
[19]Li D W,Shen H.Evaluation of wind vectors observed by HY-2A scatterometer using ocean buoy observations,ASCAT measurements,and numerical model data[J].Chinese Journal of Oceanology and Limnology,2015,33(5):1191-1200.