Sea surface temperature consistency analysis based on AVHRR and MODIS

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.