气候变化领域集成服务门户(CCPortal): 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

CCPortal

DOI	10.1016/j.rse.2021.112347
	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
	Kurihara Y.; Murakami H.; Ogata K.; Kachi M.
发表日期	2021
ISSN	00344257
卷号	257
英文摘要	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. © 2021 The Authors
英文关键词	AHI; GCOM-C; Himawari; Q-method; SGLI; SST
语种	英语
scopus关键词	Atmospheric temperature; Climate change; Geostationary satellites; Submarine geophysics; Surface properties; Surface waters; Temperature measurement; Atmospheric corrections; Global change observation missions; Quasi physical methods; Residuals analysis; Sea surface temperature (SST); Sea surface temperatures; Second generation; Standard deviation; Oceanography; atmospheric correction; correction; data; data processing; satellite data; sea surface temperature
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178907
作者单位	Earth Observation Research Center (EORC), Japan Aerospace Exploration Agency (JAXA), 2-1-1 Sengen, Tsukuba-shi, Ibaraki, 305-8505, Japan
推荐引用方式 GB/T 7714	Kurihara Y.,Murakami H.,Ogata K.,et al. 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[J],2021,257.
APA	Kurihara Y.,Murakami H.,Ogata K.,&Kachi M..(2021).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,257.
MLA	Kurihara Y.,et al."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 257(2021).