基于Himawari-8台湾海峡海温时空变化分析及应用

doi:10.6046/zrzyyg.2023072

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台湾海峡具有重要的战略地位和研究价值,开展台湾海峡及其周边海域的海洋表面温度(sea surface temperature,SST)时空变化研究有助于了解台湾海峡海陆环境与洋流变化,特别是对于充分了解台湾海峡复杂的海洋锋面系统有重要的意义。以台湾海峡及其周边海域为研究区,利用2016—2020年Himawari-8卫星数据,通过计算获取研究区年平均、季平均、旬平均的SST遥感数据,开展SST时空变化研究,并以此为基础,研究SST与福建内陆降水、福建沿海海雾之间存在的相关关系,研究结果表明: 台湾海峡及其周边海域年平均SST由西北向东南呈带状分布并逐渐升高,按季节特点可分为等温线近似与岸界平行分布的冬季型及等温线近似均匀分布的夏季型,旬SST资料能更精细地刻画台湾海峡SST的时空变化情况; 内陆月降水量与月平均SST总体存在较弱的负相关,但越远离外海海域负相关性越高; SST与沿海海雾存在着较强的负相关关系,并且随着SST的升高,海雾发生次数呈现减弱趋势。

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	张春桂
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	陈文佳

关键词 ：台湾海峡, SST时空变化, Himawari-8, 海雾

Abstract：

The Taiwan Strait holds a significant strategic position and great value for research. Investigating the spatiotemporal variations in sea surface temperature (SST) in the Taiwan Strait and its surrounding sea areas helps enhance the understanding of the marine-continental environmental interactions and changes in ocean currents in this region. Such investigation is particularly significant for comprehensively understanding the complex marine frontal systems within the Taiwan Strait. This study investigated the Taiwan Strait and its surrounding sea areas. Using 2016—2020 Himawari-8 satellite data, this study determined the annual, seasonal, and ten-day averages of SST remote sensing data. Based on these data, this study examined spatiotemporal variations in the SST and, accordingly, explored correlations between SST and inland precipitation and coastal fog in Fujian. The results indicate that the annual mean SST in the Taiwan Strait and surrounding sea areas exhibited a zonal distribution, increasing gradually from northwest to southeast. Seasonally, the SST exhibited two distribution patterns: a winter pattern, with isotherms approximately parallel to the coast, and a summer pattern, with isotherms more uniformly distributed. The ten-day SST data allowed for more fine-scale characterization of the spatiotemporal variations in the SST of the Taiwan Strait. The inland monthly precipitation generally exhibited a weak negative correlation with monthly mean SST, with this correlation strengthening with an increase in the distance from open sea areas. Additionally, a strong negative correlation was observed between the SST and coastal fog, with the coastal fog occurrence number trending downward with increasing SST.

Key words： Taiwan Strait SST spatiotemporal variation Himawari-8 sea fog

收稿日期: 2023-03-21 出版日期: 2024-12-23

ZTFLH:

TP79

基金资助:福建省科技厅重点项目“基于遥感和气象的福建空气清新度技术研究”(2020Y0072);福建省气象局青年科技专项项目“基于遥感的台湾海峡海温反演产品真实性检验研究”(2022Q3)

作者简介: 张春桂(1966-),男,正高级工程师,主要从事气象卫星遥感应用研究。Email: fjygwork@163.com。

引用本文:

张春桂, 吴作航, 王婧, 陈文佳. 基于Himawari-8台湾海峡海温时空变化分析及应用[J]. 自然资源遥感, 2024, 36(4): 175-184.
ZHANG Chungui, WU Zuohang, WANG Jing, CHEN Wenjia. Analysis and application of spatiotemporal variation in sea surface temperature in the Taiwan Strait based on Himawari-8 data. Remote Sensing for Natural Resources, 2024, 36(4): 175-184.

链接本文:

https://www.gtzyyg.com/CN/10.6046/zrzyyg.2023072 或 https://www.gtzyyg.com/CN/Y2024/V36/I4/175

Tab.1 研究区13个区域代表点的地理位置及代表区域

Fig.1 2016—2020年研究区年平均SST分布及13个区域代表点位置

Fig.2 2016—2020年研究区不同点位的年平均SST值

Fig.3 台湾海峡及其周边海域SST季节变化空间分布

Fig.4 台湾海峡及其周边海域典型区域平均SST季节变化

Fig.5 台湾海峡及其周边海域SST逐旬变化空间分布

Fig.6 台湾海峡及其周边海域典型区域平均SST逐旬变化

Fig.7 福建省8个国家气象观测站及浮标站位置

Fig.8 较优结果的SST与降水相关性

Fig.9 福建沿海16个浮标站4 a旬际海雾累计时数

Tab.2 16个浮标站SST与海雾相关性统计

Fig.10 12号浮标SST与海雾相关性拟合

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