首页> 外文会议>International symposium on remote sensing;ISRS >CHARACTERISTICS OF SEA SURFACE TEMPERATURE ERRORS IN THE NORTHWEST PACIFIC USING MICROWAVE SATELLITES
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CHARACTERISTICS OF SEA SURFACE TEMPERATURE ERRORS IN THE NORTHWEST PACIFIC USING MICROWAVE SATELLITES

机译:微波卫星在西北太平洋海域表面温度误差特征

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The accuracy and error characteristics of microwave Sea Surface Temperature (SST) measurements in the Northwest Pacific were analysed using the GMI sensor data of currently operated GPM satellite and AMSR2 sensor data of GCOM-W1. The data of matchup points between each sensor data and oceanic in-situ temperature measurements were produced from the launch date of each sensor to August 2016. The AMSR2 SST and GMI SST measurements had a Root-Mean-Square (RMS) error of about 0.63C and 1.46C and a bias error of about 0.05C and 0.34C, respectively. The SST differences between microwave SST and in-situ measurements were caused by various factors, such as wind speed, SST, distance from the coast, and the thermal front. The microwave SST data showed an error due to the diurnal effect, which was much higher than the in-situ temperature measurements at low wind speed (<6 m/s) during the daytime. In addition, the RMS error tended to be large in the winter because the emissivity of the sea surface was increased by high wind speeds and it could induce positive deviation in the SST retrieval. Low sensitivity at colder temperature and land contamination also affected an increase in the error of microwave SST. An analysis of the effect of the thermal front on satellite SST error indicated that SST error increased as the magnitude of the spatial gradient of the SST increased and the distance from the front decreased. The GMI SST tended to show a large error at high latitudes due to the cold water temperature.
机译:使用当前运行的GPM卫星的GMI传感器数据和GCOM-W1的AMSR2传感器数据,分析了西北太平洋微波海表温度(SST)测量的准确性和误差特征。从每个传感器的发射日期到2016年8月,每个传感器数据与海洋原位温度测量值之间的匹配点数据均已产生。AMSR2SST和GMI SST测量值的均方根(RMS)误差约为0.63 C和1.46C,偏置误差分别约为0.05C和0.34C。微波SST与原位测量之间的SST差异是由多种因素引起的,例如风速,SST,距海岸的距离以及热锋。微波SST数据显示由于昼夜效应而引起的误差,该误差远高于白天低风速(<6 m / s)时的现场温度测量结果。另外,由于高风速提高了海面的发射率,并且在SST的反演中会引起正偏差,因此RMS误差在冬季趋于较大。在较低温度下的低灵敏度和土地污染也影响了微波SST误差的增加。分析热锋对卫星SST误差的影响表明,随着SST空间梯度的幅度增加和距锋的距离减小,SST误差会增加。由于冷水温度的影响,GMI SST在高纬度地区往往会显示出较大的误差。

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