基于AVHRR和MODIS的海表温度一致性分析

Sea surface temperature consistency analysis based on AVHRR and MODIS

  • 摘要: 本文以太平洋为研究区域,选取平均偏差、绝对偏差、标准偏差和相关系数4个误差统计指标,开展2002年7月至2009年12月MODIS SST与AVHRR SST两种SST产品的一致性分析。结果表明:(1)两种SST产品的差异在时空上分布不均匀,距平前,一致性较好的区域均分布在偏差条带(10° N附近)的南、北两边低纬度区域以及澳洲的东部海域,且二者偏差长时间稳定在±0.4 ℃以内;(2)在南美洲中西部海域以及马来群岛附近海域,两种SST产品差异具有明显的季节性规律,并且在马来群岛附近海域,两种传感器存在一定程度的原理机制区别;(3)在南半球中纬度太平洋中部海域和北半球中纬度太平洋中部海域,季节性因素并不是造成两种SST产品差异的主要原因;(4)距平后,其中一致性较好的区域主要分布在偏差条带(10° N附近)的南、北两边低纬度区域以及澳洲的东部海域,其他区域在距平后的差异更接近同一水平;(5)两种SST数据产品中,夜间降轨(Night)产品之间的差异大于白天升轨(Day),距平后,这种差异大大缩小。

     

    Abstract: Focusing on the Pacific, four error statistical indicators: average deviation, absolute deviation, standard deviation, and correlation coefficient are selected to conduct a consistency analysis of two SST data, MODIS SST and AVHRR SST, from July 2002 to December 2009 in this paper. The results show that: (1) The difference between the two SST data is unevenly distributed in space and time. Before the anomaly, the area with better consistency is distributed in the low-latitude on the south and north sides of the deviation band (around 10° N) and the eastern seas of Australia, and the deviation is stable within ± 0.4 ℃ for a long time; (2) In the seas of central and western South America and near the Malay Islands, the difference between the two SST data have obvious seasonal rules, and the two sensors have a certain degree of mechanism difference near the Malay Islands; (3) Season is not the main reason for the difference between the two SST data In the central of the mid-latitude of Pacific in the southern and northern hemisphere; (4)After the anomaly, the area with better consistency is mainly distributed in the low-latitude on the south and north sides of the deviation band (around 10° N) and the eastern seas of Australia. The difference in the other areas after the anomaly are closer to the same level;(5)Of the two SST data, the difference between the night derailment (Night) data is greater than the daytime ascension (Day). After the anomaly, this difference is greatly reduced.

     

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