夏季琼东上升流的高频变化特征研究*

doi:10.11978/2019080

热带海洋学报 ›› 2020, Vol. 39 ›› Issue (4): 1-12.doi: 10.11978/2019080CSTR: 32234.14.2019080

• 海洋水文学 • 下一篇

夏季琼东上升流的高频变化特征研究^*

刘叶取^1,^2,³(), 唐世林^1,³()

1.热带海洋环境国家重点实验室(中国科学院南海海洋研究所), 广东广州 510301
2.中国科学院大学, 北京 100049
3.广东省海洋遥感重点实验室(中国科学院南海海洋研究所), 广东广州 510301

收稿日期:2019-08-30 修回日期:2020-01-09 出版日期:2020-07-20 发布日期:2020-07-27
通讯作者: 唐世林
作者简介:刘叶取(1992—), 男, 广东省阳江市人, 硕士研究生, 从事海洋遥感应用研究。E-mail: liuyequ@scsio.ac.cn
基金资助:
中国科学院战略性先导科技专项(A类)资助(XDA13010404);国家自然科学基金项目(41876207);广东省科技计划项目(2017B020217002)

Study on the characteristics of high-frequency variation of Qiongdong upwelling in summer*

Yequ LIU^1,^2,³(), Shilin TANG^1,³()

1. State Key Laboratory of Tropical Oceanography (South China Sea Institute of Oceanology, Chinese Academy of Sciences), Guangzhou 510301, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. Guangdong Key Lab of Ocean Remote Sensing (South China Sea Institute of Oceanology, Chinese Academy of Sciences), Guangzhou 510301, China

Received:2019-08-30 Revised:2020-01-09 Online:2020-07-20 Published:2020-07-27
Contact: Shilin TANG
Supported by:
Foundation item: Strategic Priority Research Program of the Chinese Academy of Sciences(XDA13010404);National Natural Science Foundation of China(41876207);Science and Technology Planning Project of Guangdong Province, China(2017B020217002)

摘要/Abstract

摘要：

以往对上升流的研究更多的是关注其年际或季节变化, 高时间分辨率遥感产品的出现使得研究上升流的高频特征成为可能。本文基于融合的逐日海表温度数据, 结合多尺度分割方法, 提出了一种探测上升流冷信号异质性的新算法, 通过上升流面积和强度指数展示了一个完整的琼东上升流过程。分析SST(Sea Surface Temperature)图像的结果表明, 夏季琼东涌升到海面的上升流存在间断期, 平均间隔为6d。每年夏季(6—9月)平均有98d在海表面识别到上升流, 其平均面积为7698km², 平均强度为1.0℃, 两者存在较高的相关性。琼东上升流发生频率与离岸距离成反比, 琼东北海域为高发区。不同上升流的影响因子可能不同, 离岸风、风应力旋度、热带气旋均与上升流短期变化密切相关。

关键词: 琼东上升流, 高频变化, 海表温度, 多尺度分割, 局地风场

Abstract:

Previous studies on upwelling mainly focus on inter-annual or seasonal variation, but the high-frequency observations of upwelling gain more attention with the availability of high-temporal-resolution remote sensing products. In this paper, we propose an algorithm for detecting cold upwelling signal based on daily merged sea surface temperature (SST) data with a multi-scale segmentation method. The upwelling area and intensity variation reflect a complete process of upwelling off eastern Hainan Island. Analyses on SST images in recent decade demonstrate that the upwelling did not exist daily during summer; instead, it occurred with a mean time interval of 6 days. Colder signature of upwelling events appeared for approximately 98 days on average in every summer from June to September. The mean values of cold area and intensity are 7698 km² and 1.0℃, respectively, which are highly correlated. The frequency of upwelling occurrence is inversely proportional to the offshore distance, and the northeast is a high-frequent area. Offshore wind and wind stress curl make different contributions for different upwelling in the studied area. Offshore wind, wind stress curl and tropical cyclones are closely related to the short-term change of the upwelling.

Key words: Qiongdong upwelling, high-frequency variation, sea surface temperature, multi-scale segmentation, local wind

中图分类号:

P731.2

刘叶取, 唐世林. 夏季琼东上升流的高频变化特征研究^*[J]. 热带海洋学报, 2020, 39(4): 1-12.

Yequ LIU, Shilin TANG. Study on the characteristics of high-frequency variation of Qiongdong upwelling in summer*[J]. Journal of Tropical Oceanography, 2020, 39(4): 1-12.

图/表 11

图1

图2

图3

图4

图5

图6

图7

图8

图9

表1

图10

参考文献 36

[1]	邓松, 钟欢良, 王名文, 等, 1995. 琼海沿岸上升流及其与渔场的关系[J]. 台湾海峡, 14(1):51-56.
	DENG SONG, ZHONG HUANGLIANG, WANG MINGWEN, et al, 1995. On relation between upwelling off Qionghai and fishery[J]. Journal of Oceanography in Taiwan Strait, 14(1):51-56 (in Chinese with English abstract).
[2]	管秉贤, 陈上及, 1964. 中国近海的海流系统: 全国海洋综合调查报告第五册第六章[R]. 北京: 国家科委海洋组海洋综合调查办公室: 1-85 (in Chinese).
[3]	郭飞, 侍茂崇, 夏综万, 1998. 琼东沿岸上升流二维数值模型的诊断计算[J]. 海洋学报, 20(6):109-116.
	GUO FEI, SHI MAOCHONG, XIA ZHONGWAN, 1998. Two-demension diagnose model to calculate upwelling on offshore of the east coast of Hainan Island[J]. Haiyang Xuebao, 20(6):109-116 (in Chinese with English abstract).
[4]	韩舞鹰, 王明彪, 马克美, 1990. 我国夏季最低表层水温海区—琼东沿岸上升流区的研究[J]. 海洋与湖沼, 21(3):267-275.
	HAN WUYING, WANG MINGBIAO, MA KEMEI, 1990. On the lowest surface water temperature area of China Sea in summer-the upwelling along the east coast of Hainan Island[J]. Oceanologia et Limnologia Sinica, 21(3):167-275 (in Chinese with English abstract).
[5]	经志友, 齐义泉, 华祖林, 2008. 南海北部陆架区夏季上升流数值研究[J]. 热带海洋学报, 27(3):1-8.
	JING ZHIYOU, QI YIQUAN, HUA ZULIN, 2008. Numerical study on summer upwelling over northern continental shelf of South China Sea[J]. Journal of Tropical Oceanography, 27(3):1-8 (in Chinese with English abstract).
[6]	李立, 许金殿, 1994. 近海对台风的响应注记——I.大亚湾海况对8708和8710号台风的综合响应[J]. 台湾海峡, 13(3):213-218.
	LI LI, XU JINDIAN, 1994. Notes on response of coastal waters to typhoon passage I. response of Daya Bay hydrological conditions to Typhoons No. 8708 and No. 8710[J]. Journal of Oceanography in Taiwan Strait, 13(3):213-218 (in Chinese with English abstract).
[7]	潘爱军, 郭小钢, 许金电, 等, 2011. 粤东沿岸上升流对2006年夏季台风响应[J]. 中国科学: 地球科学, 40(10):1530-1541.
	PAN AIJUN, GUO XIAOGANG, XU JINDIAN, et al, 2011. Responses of Guangdong coastal upwelling to the summertime typhoons of 2006. Science China Earth Sciences, 55(3):495-506.
[8]	孙璐, 王东晓, 胡建宇, 等, 2008. 南海北部海洋对局地生成热带气旋的响应[J]. 热带海洋学报, 27(4):10-18.
	SUN LU, WANG DONGXIAO, HU JIANYU, et al, 2008. Responses of upper layer of northern South China Sea to two locally-generated tropical cyclones[J]. Journal of Tropical Oceanography, 27(4):10-18 (in Chinese with English abstract).
[9]	汪彧, 经志友, 齐义泉, 2016. 2013年夏季琼东海域上升流观测研究[J]. 热带海洋学报, 35(2):40-49. doi: 10.11978/2015062
	WANG YU, JING ZHIYOU, QI YIQUAN, 2016. Coastal upwelling off eastern Hainan Island observed in the summer of 2013[J]. Journal of Tropical Oceanography, 35(2):40-49 (in Chinese with English abstract). doi: 10.11978/2015062
[10]	吴日升, 李立, 2003. 南海上升流研究概述[J]. 台湾海峡, 22(2):269-277.
	WU RISHENG, LI LI, 2003. Summarization of study on upwelling system in the South China Sea[J]. Journal of Oceanography in Taiwan Strait, 22(2):269-277 (in Chinese with English abstract).
[11]	谢玲玲, 张书文, 赵辉, 2012. 琼东上升流研究概述[J]. 热带海洋学报, 31(4):35-41. doi: 10.3969/j.issn.1009-5470.2012.04.005
	XIE LINGLING, ZHANG SHUWEN, ZHAO HUI, 2012. Overview of studies on Qiongdong upwelling[J]. Journal of Tropical Oceanography, 31(4):35-41 (in Chinese with English abstract). doi: 10.3969/j.issn.1009-5470.2012.04.005
[12]	谢玲玲, 宗晓龙, 伊小飞, 等, 2016. 琼东上升流的年际变化及长期变化趋势[J]. 海洋与湖沼, 47(1):43-51.
	XIE LINGLING, ZONG XIAOLONG, YI XIAOFEI, et al, 2016. The interannual variation and long-term trend of Qiongdong upwelling[J]. Oceanologia et Limnologia Sinica, 47(1):43-51 (in Chinese with English abstract).
[13]	谢玲玲, 何超凤, 李明明, 等, 2017. 琼东上升流区海表温度对台风过境的响应[J]. 海洋科学进展, 35(1):8-19.
	XIE LINGLING, HE CHAOFENG, LI MINGMING, et al, 2017. Response of Sea surface temperature to typhoon passages over the upwelling zone east of Hainan Island[J]. Advances in Marine Science, 35(1):8-19 (in Chinese with English abstract).
[14]	许金电, 蔡尚湛, 宣莉莉, 等, 2013. 2006年夏季琼东、粤西沿岸上升流研究[J]. 海洋学报, 35(4):11-18.
	XU JINDIAN, CAI SHANGZHAN, XUAN LILI, et al, 2013. Study on coastal upwelling in eastern Hainan Island and western Guangdong in summer, 2006[J]. Haiyang Xuebao, 35(4):11-18 (in Chinese with English abstract).
[15]	于文泉, 1987. 南海北部上升流的初步探讨[J]. 海洋科学, 6(11):7-10.
	YU WENQUAN, 1987. A preliminary approach of the upwelling for the northern South China Sea[J]. Marine Sciences, 6(11):7-10 (in Chinese with English abstract).
[16]	BEAULIEU J M, GOLDBERG M, 1989. Hierarchy in picture segmentation: a stepwise optimization approach[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(2):150-163. doi: 10.1109/34.16711
[17]	BENZ U C, HOFMANN P, WILLHAUCK G, et al, 2004. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 58(3-4):239-258. doi: 10.1016/j.isprsjprs.2003.10.002
[18]	BLASCHKE T, HAY G J, KELLY M, et al, 2014. Geographic object-based image analysis-towards a new paradigm[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 87:180-191. doi: 10.1016/j.isprsjprs.2013.09.014
[19]	CHENG Y H, HU JIAYU, ZHENG QUANAN, et al, 2018. Interannual variability of cold domes northeast of Taiwan[J]. International Journal of Remote Sensing, 2017,39(13):4293-4303. doi: 10.1080/01431161.2017.1395972
[20]	HU J Y, KAWAMURA H, TANG D L, 2003. Tidal front around the Hainan Island, northwest of the South china Sea[J]. Journal of Geophysical Research: Oceans, 2003,108(C11):3342.
[21]	HU JIANYU, WANG XIAOHUA, 2016. Progress on upwelling studies in the China seas[J]. Reviews of Geophysics, 54(3):653-673. doi: 10.1002/2015RG000505
[22]	HUANG ZHI, FENG MING, 2015. Remotely sensed spatial and temporal variability of the Leeuwin Current using MODIS data[J]. Remote Sensing of Environment, 166:214-232. doi: 10.1016/j.rse.2015.05.028
[23]	HUANG ZHI, WANG XIAOHUA, 2019. Mapping the spatial and temporal variability of the upwelling systems of the Australian south-eastern coast using 14-year of MODIS data[J]. Remote Sensing of Environment, 227:90-109. doi: 10.1016/j.rse.2019.04.002
[24]	JING ZHIYOU, QI YIQUAN, DU YAN, 2011. Upwelling in the continental shelf of northern South China Sea associated with 1997-1998 El Niño[J]. Journal of Geophysical Research: Oceans, 116(C2):C02033.
[25]	JING ZHIYOU, QI YIQUAN, HUA ZULIN, et al, 2009. Numerical study on the summer upwelling system in the northern continental shelf of the South China Sea[J]. Continental Shelf Research, 29(2):467-478. doi: 10.1016/j.csr.2008.11.008
[26]	LI YINENG, PENG SHIQIU, WANG JIA, et al, 2018. On the mechanism of the generation and interannual variations of the summer upwellings west and southwest off the Hainan Island[J]. Journal of Geophysical Research: Oceans, 123(11):8247-8263. doi: 10.1029/2018JC014226
[27]	NIINO H, EMERY K O, 1961. Sediments of shallow portions of east China Sea and South China Sea[J]. GSA Bulletin, 72(5):731-762. doi: 10.1130/0016-7606(1961)72[731:SOSPOE]2.0.CO;2
[28]	SHU YEQIANG, WANG DONGXIAO, FENG MING, et al, 2018. The contribution of local wind and ocean circulation to the interannual variability in coastal upwelling intensity in the northern south china sea[J]. Journal of Geophysical Research: Oceans, 123(9):6766-6778. doi: 10.1029/2018JC014223
[29]	SOUSA F M, NASCIMENTO S, CASIMIRO H, et al, 2008. Identification of upwelling areas on sea surface temperature images using fuzzy clustering[J]. Remote Sensing of Environment, 112(6):2817-2823. doi: 10.1016/j.rse.2008.01.014
[30]	SU JIAN, POHLMANN T, 2009. Wind and topography influence on an upwelling system at the eastern Hainan coast[J]. Journal of Geophysical Research: Oceans, 114(C6):C06017.
[31]	SU JIAN, WANG JUN, POHLMANN T, et al, 2011. The influence of meteorological variation on the upwelling system off eastern Hainan during summer 2007-2008[J]. Ocean Dynamics, 61(6):717-730. doi: 10.1007/s10236-011-0404-9
[32]	WANG DONGXIAO, SHU YEQIANG, XUE HUIJIE, et al, 2014. Relative contributions of local wind and topography to the coastal upwelling intensity in the northern South China Sea[J]. Journal of Geophysical Research: Oceans, 119(4):2550-2567. doi: 10.1002/2013JC009172
[33]	WEISS A, 2001. Topographic position and landforms analysis[C]// Poster Presentation, ESRI User Conference, San Diego, CA. 2001: 200.
[34]	WYRTKI K, 1961. Physical oceanography of the Southeast Asian waters. Scientific results of marine investigations of the South China Sea and the Gulf of Thailand 1959-1961[R]. La Jolla,California: Scripps Institution of Oceanography: 1-195.
[35]	XIE SHANGPING, XIE QIANG, WANG DONGXIAO, et al, 2003. Summer upwelling in the South China Sea and its role in regional climate variations[J]. Journal of Geophysical Research: Oceans, 108(C8):3261.
[36]	YIN WENBIN, HUANG DAJI, 2019. Short-Term variations in the surface upwelling off northeastern Taiwan observed via satellite data[J]. Journal of Geophysical Research: Oceans, 124(2):939-954. doi: 10.1029/2018JC014537

台风编号	名称	历经时间	登陆时间	登陆风速/(m·s^-1)	台风级别	登陆位置
200905	苏迪罗	7月10—12日	12日6时	18	热带风暴	中部
200913	彩虹	9月9—12日	11日2时	20	热带风暴	中部
201003	灿都	7月19—23日	22日13时	35	台风	北部
201305	贝碧嘉	6月20—23日	22日11时	23	热带风暴	中部
201306	温比亚	6月28—7月2日	2日5时	30	强热带风暴	北部
201309	飞燕	7月31—8月3日	2日19时	28	强热带风暴	北部
201409	威马逊	7月12—20日	18日15时	72	超强台风	中部
201415	海鸥	9月12—17日	16日9时	42	强台风	中部
201508	鲸鱼	6月21—25日	22日18时	25	强热带风暴	南部
201603	银河	7月26—28日	26日22时	28	强热带风暴	南部

夏季琼东上升流的高频变化特征研究^*

Study on the characteristics of high-frequency variation of Qiongdong upwelling in summer*

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 11

参考文献 36

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	储小青, 彭启华. 沿岸风和海洋波动在北向索马里流生成中的作用[J]. 热带海洋学报, 2023, 42(2): 1-8.
[2]	陈克海, 解学通, 张金兰, 郑艳. 一种温度相关的HY-2A散射计地球物理模型函数[J]. 热带海洋学报, 2022, 41(2): 90-102.
[3]	汪浩, 王静, 郑佳喻. 南印度洋热带气旋快速增强事件气候特征及其年际变率[J]. 热带海洋学报, 2022, 41(1): 94-105.
[4]	薛文璟, 余锦华, 陈林. 2016与1998年春季北大西洋海表温度异常的差异及成因[J]. 热带海洋学报, 2020, 39(3): 19-30.
[5]	方珂,余锦华. 北半球热带中太平洋与印度洋海表温度梯度对夏季西北太平洋热带气旋生成频数变化的影响[J]. 热带海洋学报, 2019, 38(5): 42-51.
[6]	胡敏航, 陈天然, 张文静. 滨珊瑚Sr/Ca的种间和种内差异性^*[J]. 热带海洋学报, 2018, 37(6): 74-84.
[7]	李薛, 付东洋, 张莹, 刘大召, 丁又专, 王文芳, 栾虹, 蒋城飞. 超强台风“威马逊”对南海西北海域海洋环境的影响^*[J]. 热带海洋学报, 2016, 35(6): 19-28.
[8]	王闵杨, 罗义勇, 杜岩. 太平洋赤道不稳定波强度变化及其与ENSO的关系^*[J]. 热带海洋学报, 2016, 35(3): 41-47.
[9]	杨亚力, 杜岩. ENSO及印度洋海盆模态关联的南海SST异常年代际变化及海洋平流输送的贡献[J]. 热带海洋学报, 2016, 35(1): 72-81.
[10]	韩雪, 蔡怡, 陈幸荣, 李琰. 渤黄海冬季海温异常的时空分布特征及影响因子分析[J]. 热带海洋学报, 2014, 33(5): 1-12.
[11]	林锐, 张彩云, 李炎. 卫星遥感南海海表面日增温的时空变化特征^*[J]. 热带海洋学报, 2014, 33(2): 17-27.
[12]	郑珊珊, 陈楚群. 不依赖现场数据的ASTER海表温度反演方法[J]. 热带海洋学报, 2013, 32(5): 9-14.
[13]	徐海明, 张岚, 杜岩. 南印度洋偶极子及其影响研究进展[J]. 热带海洋学报, 2013, 32(1): 1-7.
[14]	王坚红,邵彩霞,苗春生,钟青,吴云荣. 近海海温对再入海台风数值模拟影响的研究[J]. 热带海洋学报, 2012, 31(5): 106-115.
[15]	滕伟成, 管磊. 西北太平洋NOAA AVHRR海表温度日变化校正研究*[J]. 热带海洋学报, 2012, 31(4): 1-7.