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不同SST资料在海南岛和北部湾珊瑚白化预警中的适用性比较
旷芳芳,张俊鹏,查晶,靖春生,牛文涛,王翠
0
(自然资源部第三海洋研究所,福建 厦门 361005)
摘要:
近年来,受全球气候变化及极端天气的影响,全球范围频繁出现珊瑚礁白化现象,遥感SST已广泛应用于珊瑚白化的监测和预警中。海南岛近岸及北部湾海域的珊瑚礁近年也倍受白化压力,然而,遥感SST在海南岛近岸及北部湾海域珊瑚白化预警中的适用性尚不清楚。为此,本研究比较了3种常用的遥感SST数据(OISST、GHRSST和CoralTemp)在研究海域的异同及其在夏季珊瑚白化预警中的适用性。结果表明,GHRSST的SST最高、CoralTemp次之、OISST最低,OISST的偏差在2013年以前比较明显,GHRSST和CoralTemp在2003年之后比较接近;与浮标的现场观测值相比,2006—2020年CoralTemp的平均偏差和均方根误差分别为0.03 ℃和0.92 ℃,GHRSST为0.08 ℃和0.96 ℃,OISST为-0.25 ℃和1.21 ℃,CoralTemp在研究区域内更为准确;3种遥感SST计算的DHW与使用现场SST计算的趋势一致,CoralTemp的结果更为接近现场SST。因此,3种遥感SST资料中,CoralTemp相对来说更适用于研究海域。
关键词:  海洋环境科学  遥感  SST  珊瑚白化  海南岛  北部湾
DOI:10.3969/J.ISSN.2095-4972.20211126001
基金项目:国家重点研发计划(2022YFC3106301);自然资源部第三海洋研究所基本科研业务费(海三科2022013)
A comparison of three remote sensing SSTs for coral bleaching warnings in coastal areas of Hainan Island and Beibu Gulf
KUANG Fangfang,ZHANG Junpeng,CHA Jing,JING Chunsheng,NIU Wentao,WANG Cui
(Third Institute of Oceanography, MNR, Xiamen 361005, China)
Abstract:
The coral reef bleaching phenomenon has been frequently observed worldwide in recent years due to global climate change and extreme weather conditions. The applicability of remote sensing SST in coral bleaching early warning in the Beibu Gulf and coastal areas of Hainan Island is not known. In this study, we compared three commonly used remote sensing SST data (OISST, GHRSST and CoralTemp) and their applicability in coral bleaching early warning during summer. It showed that, GHRSST had the highest SST, CoralTemp the second and OISST the lowest, the bias of OISST was more obvious before 2013, and GHRSST and CoralTemp were close to each other after 2003; compared with in situ observations of buoys, from 2006 to 2020, the mean deviation and root mean square error were 0.03 ℃ and 0.92 ℃ for CoralTemp, 0.08 ℃ and 0.96 ℃ for GHRSST, and -0.25 ℃ and 1.21 ℃ for OISST, respectively, CoralTemp was more accurate in the study area; DHW calculated by the three remote sensing SSTs followed the same trend as those in situ SSTs calculated, with CoralTemp's results more closer to in situ SST. Therefore, among the three remote sensing SST data, CoralTemp is relatively more applicable in the study area. The findings of this paper will provide a reference for the research and application of coral bleaching early warning models in the study area.
Key words:  marine environment science  remote sensing  SST  coral reef bleaching  Hainan Island  Beibu Gulf

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