基于PMDB数据集的海表温度反演误差统计分析  

Statistical Analysis of Sea Surface Temperature Retrieval Error based on PMDB

作　　者：黄二辉[1] 杨燕明[1] 

机构地区：[1]国家海洋局第三海洋研究所海洋声学与遥感开放实验室,福建厦门361005

出　　处：《遥感技术与应用》2012年第6期880-886,共7页Remote Sensing Technology and Application

基　　金：国家海洋局青年海洋科学基金重点项目资助(2009429);海洋公益性行业科研专项经费资助(201005030)

摘　　要：红外辐射计在测量海表温度时,大气水汽含量是影响遥感反演精度的主要因素之一。利用1988年1月～2009年11月60°N～60°S的SST和水汽月平均资料及AVHRR准同步实测数据集PMDB,分析了海表温度及其卫星反演误差和海面水汽含量的相关关系。结果表明:海表温度和水汽含量的纬度带月均值具有明显的季节变化特征。纬度越高,遥感SST偏离实测SST越小;在中低纬海域,PFSST算法通常低估了海表温度,而高纬度海域则高估了海表温度;SST误差的气候态月均值在中高纬海域具有较好的季节分布特征,与水汽、SST的季节变化相关性较高。Atmospheric water vapor is one of the main factors when satellite infrared radiometer measure sea surface temperature. In this paper, the correlation among sea surface temperature and its retrieval error and atmospheric water vapor are analyzed by the monthly mean data of sea surface temperature and water vapor dataset in January 1988～November 2009,60°N-60°S and AVHRR quasi synchronous pathfinder matchup database. The results showed that the latitudinal monthly mean value of both sea surface temperature and precipitation water vapor have significant seasonal variation characteristic;in the higher latitudes, show the smaller deviation between remote sensing retrieval sea surface temperature and in-situ sea surface tempera- ture, sea surface temperature is usually underestimated in middle-latitude and low-latitude zone, but overes- timated in high-latitude zone based on PFSST algorithm. Climatological monthly mean value of sea surface temperature retrieval error have a good seasonal distribution in middle and high latitude ocean, and has higher correlation among it, sea surface temperature and precipitation water vapor on time series statistics.

关 键 词：PMDB数据集 水汽含量 海表温度 PFSST 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]