A quasi-physical sea surface temperature method for the split-window data from the Second-generation Global Imager (SGLI) onboard the Global Change Observation Mission-Climate (GCOM-C) satellite

REMOTE SENSING OF ENVIRONMENT

卷:257

Article

Kurihara, Yukio¹  Murakami, Hiroshi¹  Ogata, Kazunori¹  Kachi, Misako¹ 

[1] Japan Aerosp Explorat Agcy JAXA, Earth Observat Res Ctr EORC, 2-1-1 Sengen, Tsukuba, Ibaraki 3058505, Japan

关键词: SST;    Q-method;    SGLI;    GCOM-C;    AHI;    Himawari;   

DOI  :  10.1016/j.rse.2021.112347

来源: Elsevier

【 摘 要 】

This paper describes a quasi-physical method (the Q-method) for determining the sea surface temperatures (SSTs). The Q-method is a coefficient-based technique developed for processing the multiband infrared (IR) data of the geostationary Himawari-8 satellite. We applied the Q-method to the split-window data from the Second generation Global Imager (SGLI) onboard the Global Change Observation Mission-Climate (GCOM-C) satellite. A comparison of the determined SGLI SSTs and buoy data shows a bias with a robust standard deviation of-0.097 K and 0.28 K in the daytime and-0.18 K and 0.28 K at night, respectively. Meanwhile, high biases of nearly-0.5 K were calculated for SSTs at and around 305 K. A residuals analysis suggests that the high negative bias is caused by insufficient information on the atmospheric correction brought by split-window data. This paper discusses the physical and mathematical background of the Q-method and compares it with another coefficient based physical scheme.

【 授权许可】

Free