卫星遥感南海海表面日增温的时空变化特征*

doi:10.11978/j.issn.1009-5470.2014.02.003

热带海洋学报 ›› 2014, Vol. 33 ›› Issue (2): 17-27.doi: 10.11978/j.issn.1009-5470.2014.02.003cstr: 32234.14.j.issn.1009-5470.2014.02.003

卫星遥感南海海表面日增温的时空变化特征^*

林锐^{1, 2}, 张彩云¹, 李炎^{1, 2}

1. 福建省海陆界面生态重点实验室(厦门大学), 福建厦门 361005; 2. 厦门大学环境与生态学院, 福建厦门 361005;

收稿日期:2012-10-24 修回日期:2013-07-11 出版日期:2014-04-02 发布日期:2014-04-02
通讯作者: 张彩云。E-mail: cyzhang@xmu.edu.cn
作者简介:林锐(1988~), 女, 福建省龙岩市, 硕士研究生, 主要从事海洋遥感应用研究。E-mail: sannoy@126.com

Satellite observation of the temporal and spatial variation of sea surface diurnal warming in the South China Sea

LIN Rui^{1, 2}, ZHANG Cai-yun¹, LI Yan^{1, 2}

1. Fujian Provincial Joint Key Laboratory for Coastal Ecology and Environmental Studies (Xiamen University), Xiamen 361005, China; 2. College of the Environment and Ecology, Xiamen University, Xiamen 361005, China;

Received:2012-10-24 Revised:2013-07-11 Online:2014-04-02 Published:2014-04-02
Contact: 福建省自然科学基金项目(2011J01278); 国家自然科学基金项目(40706041); *感谢陈嘉伟、雷发美、魏国妹在论文编写过程所提供的关于绘图以及IDL编程的建议和指导。文中使用到的遥感SST资料和风场资料分别下载于美国航空航天局哥达德太空飞行中心以及遥感系统数据中心,云量资料来自美国国家海洋和大气管理局,在此一并致谢。

摘要/Abstract

摘要： 利用搭载在Aqua和Terra卫星上的MODIS(moderate resolution imaging spectroradiometer)、AMSR-E(advanced microwave scanning radiometer for the earth observing system)传感器测量反演的昼夜海表温度(SST), 计算海表面日增温(sea surface diurnal warming), 分析南海海表面日增温的短期和年变动特征。受观测平台过境时间、传感器测量SST方式、反演算法等影响, MODIS/Aqua计算的日增温幅度略大于AMSR-E/Aqua和MODIS/Terra, 但在表征南海海表面日增温的时空分布特征以及变化趋势上三者并未见显著性差异。南海海表面日增温在时间分布上以冬季为最小, 春季为最大; 在空间分布上则是南部海域大于中部和北部海域, 东部海域大于西部海域。春夏之交的吕宋海峡西北部尤其容易发生日增温事件。海表面日增温与太阳辐射、风速、云量等影响有关, 其中风速与海表面日增温显著负相关。

关键词: 海表温度(SST), 海表面日增温, 时空分布, 南海, 卫星遥感

Abstract: Satellite-derived sea surface temperature (SST) data from the MODIS (moderate resolution imaging spectroradiometer)/ Aqua, AMSR-E (advanced microwave scanning radiometer for the earth observing system)/Aqua and MODIS/Terra over the past ~10 years are analyzed to investigate the sea surface diurnal warming in the South China Sea (SCS). The results reveal that sea surface diurnal warming derived by MODIS/Aqua is slightly higher than that by AMSR-E/Aqua and MODIS/Terra, due to the differences in satellite transit time, sampling manner and retrieval algorithm, among others. However, there are no significant biases in terms of spatial and temporal distributions, and of the variation of sea surface diurnal warming over the SCS. The magnitude of sea surface diurnal warming in the SCS is the weakest during winter, and the strongest during spring. The magnitude is generally larger in the southern regions than in the central and northern regions, and is larger in the eastern regions than in the western regions. Northwest of the Luzon Strait, the sea surface diurnal warming tends to appear easily from late spring to early summer. It is suggested that the seasonal variation of sea surface diurnal warming in the SCS be affected by solar radiation, wind speed and cloud amount; among them, the wind speed is the most important factor with a significant negative correlation with the diurnal warming.

Key words: sea surface temperature, sea surface diurnal warming, temporal and spatial distribution, South China Sea, satellite remote sensing

中图分类号:

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.

LIN Rui, ZHANG Cai-yun, LI Yan. Satellite observation of the temporal and spatial variation of sea surface diurnal warming in the South China Sea[J]. Journal of Tropical Oceanography, 2014, 33(2): 17-27.

参考文献

[1].王桂华, 苏纪兰, 齐义泉. 2005. 南海中尺度涡研究进展[J]. 地球科学进展, 20: 882-886.
[2].肖晖, 蔡淑惠. 1988. 台湾海峡西部海域温, 盐度分布特征[J]. 台湾海峡, 7: 227-234.
[3].臧楠. 2005. 南海 SST 日变化特征及夏季风爆发对 SST日变化的影响[D]. 青岛: 中国海洋大学: 1-65
[4].张学斌, 胡建宇. 2000. 台湾浅滩南部边缘海域1997年8月温盐度的多周日变化[J]. 台湾海峡, 19: 89-94.
[5].DONLON C, MINNETT P, GENTEMANN C, et al. 2002. Toward improved validation of satellite sea surface skin temperature measurements for climate research[J]. Journal of Climate, 15(4): 353-369.
[6].FLAMENT P, FIRING J, SAWYER M, et al. 1994. Amplitude and horizontal structure of a large diurnal sea surface warming event during the Coastal Ocean Dynamics Experiment[J]. Journal of Physical Oceanography, 24: 124-139.
[7].GENTEMANN C L, DONLON C J, STUART-MENTETH A, et al. 2003. Diurnal signals in satellite sea surface temperature measurements[J]. Geophysical Research Letters, 30(3): 1140.
[8].GENTEMANN C L, MINNETT P J. 2008. Radiometric measurements of ocean surface thermal variability[J]. Journal of Geophysical Research, 113: C08017.
[9].HOSODA K, KAWAMURA H, LAN K W, et al. 2012. Temporal scale of sea surface temperature fronts revealed by microwave observations[J]. Geoscience and Remote Sensing Letters, 9(1): 3-7.
[10].KAWAI Y, WADA A. 2007. Diurnal sea surface temperature variation and its impact on the atmosphere and ocean: A review[J]. Journal of oceanography, 63: 721-744.
[11].LI W B, LUO C, WANG D X, et al. 2010. Diurnal variations of precipitation over the South China Sea[J]. Meteorology and Atmospheric Physics, 109(1-2): 33-46.
[12].MERCHANT C, FILIPIAK M, LE BORGNE P, et al. 2008. Diurnal warm-layer events in the western Mediterranean and European shelf seas[J]. Geophysical Research Letters, 35: L04601.
[13].PRICE J, WELLER R, PINKEL R. 1986. Diurnal cycling: Observations and models of the upper-ocean response to diurnal heating, cooling, and wind mixing[J]. Journal of Geophysical Research, 91(C7): 8411-8427.
[14].QIU C H, WANG D X, KAWAMURA H, et al. 2009. Validation of AVHRR and TMI-derived sea surface temperature in the northern South China Sea[J]. Continental Shelf Research, 29(20): 2358-2366.
[15].QU T D, DU Y, GAN J P, et al. 2007. Mean seasonal cycle of isothermal depth in the South China Sea[J]. Journal of Geophysical Research, 112(C2): C02020.
[16].SAKAIDA F, KAWAMURA H, TAKAHASHI S, et al. 2009. Research and development of the New Generation Sea Surface Temperature for Open Ocean(NGSST-O)product and its demonstration operation[J]. Journal of Oceanography, 65: 859-870.
[17].STRAMMA L, CORNILLON P, WELLER R A, et al. 1986. Large diurnal sea surface temperature variability: Satellite and in situ measurements[J]. Journal of Physical Oceanography, 16: 827-837.
[18].STUART-MENTETH A C, ROBINSON I S, CHALLENOR P G. 2003. A global study of diurnal warming using satellite- derived sea surface temperature[J]. Journal of Geophysical Research: Oceans (1978-2012), 108(C5): 3155.
[19].SUN L, ZHENG Q A, WANG D X, et al. 2011. A case study of near-inertial oscillation in the South China Sea using mooring observations and satellite altimeter data[J]. Journal of Oceanography, 67(6): 677-687.
[20].SUN L, ZHENG Q A, TANG T Y, et al. 2012. Upper ocean near-inertial response to 1998 Typhoon Faith in the South China Sea[J]. Acta Oceanologica Sinica, 31(2): 25-32.
[21].TANAHASHI S, KAWAMURA H, TAKAHASHI T, et al. 2003. Diurnal variations of sea surface temperature over the wide-ranging ocean using VISSR on board GMS[J]. Journal of Geophysical Research, 108(C7): 3216.
[22].WALTON C, PICHEL W, SAPPER J, et al. 1998. The development and operational application of nonlinear algorithms for the measurement of sea surface temperatures with the NOAA polar-orbiting environmental satellites[J]. Journal of Geophysical Research, 103(C12): 27999-28012.
[23].WANG D X, DU Y, SHI P. 2001a. Evidence for thermocline ventilation in the South China Sea in winter[J]. Chinese Science Bulletin, 46(9): 774-778.
[24].WANG D X, LIU Y, QI Y Q, et al. 2001b. Seasonal variability of thermal fronts in the northern South China Sea from satellite data[J]. Geophysical Research Letters, 28(20): 3963-3966.
[25].WANG D X, LIU Q Y, XIE Q, et al. 2013. Progress of regional oceanography study associated with western boundary current in the South China Sea[J]. Chinese Science Bulletin, 58(11): 1205-1215.
[26].WENTZ F, MEISSNER T. 2000. AMSR Ocean Algorithm, Version 2[M]. Santa Rosa: Remote Sensing Systems: 1-66.
[27].YAO J L, BELKIN I, CHEN J, et al. 2012. Thermal fronts of the southern South China Sea from satellite and in situ data[J]. International Journal of Remote Sensing, 33(23): 7458-7468.
[28].YOKOYAMA R, TANBA S, SOUMA T. 1995. Sea surface effects on the sea surface temperature estimation by remote sensing[J]. International Journal of Remote Sensing, 16(2): 227-238.
[29].ZENG L L, DU Y, XIE S P, et al. 2009a. Barrier layer in the South China Sea during summer 2000[J]. Dynamics of Atmospheres and Oceans, 47(1): 38-54.
[30].ZENG L L, SHI P, LIU W T, et al. 2009b. Evaluation of a satellite-derived latent heat flux product in the South China Sea: A comparison with moored buoy data and various products[J]. Atmospheric Research, 94(1): 91-105.
[31].ZENG L L, WANG D X. 2009c. Intraseasonal variability of latent-heat flux in the South China Sea[J]. Theoretical and Applied Climatology, 97(1-2): 53-64.
[32].ZHUANG W, WANG D X, HU J Y, et al. 2006. Response of the cold water mass in the western South China Sea[J]. Acta Oceanologica Sinica, 25(4): 1-13.
[33].

卫星遥感南海海表面日增温的时空变化特征^*

Satellite observation of the temporal and spatial variation of sea surface diurnal warming in the South China Sea

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	徐超, 龙丽娟, 李莎, 袁丽, 徐晓璐. 南海及其附属岛礁海洋科学考察历史资料系统整编3. 数据共享服务及应用[J]. 热带海洋学报, 2024, 43(5): 158-165.
[2]	徐超, 龙丽娟, 李莎, 何云开, 袁丽, 徐晓璐. 南海及其附属岛礁海洋科学考察历史资料系统整编1. 资料整编技术及应用[J]. 热带海洋学报, 2024, 43(5): 143-149.
[3]	徐超, 龙丽娟, 李莎, 徐晓璐, 袁丽. 南海及其附属岛礁海洋科学考察历史资料系统整编2. 数据治理技术与应用[J]. 热带海洋学报, 2024, 43(5): 150-157.
[4]	柳原, 柯志新, 李开枝, 谭烨辉, 梁竣策, 周伟华. 人类活动和沿岸流影响下的粤东近海浮游动物群落特征[J]. 热带海洋学报, 2024, 43(4): 98-111.
[5]	刘玓玓, 张喜洋, 孙富林, 王明壮, 谭飞, 施祺, 王冠, 杨红强. 南海海滩岩微生物群落结构和特定菌株对其成因机制的启示*[J]. 热带海洋学报, 2024, 43(4): 112-122.
[6]	江绿苗, 陈天然, 赵宽, 张婷, 许莉佳. 南海北部涠洲岛边缘珊瑚礁的生物侵蚀实验研究[J]. 热带海洋学报, 2024, 43(3): 155-165.
[7]	许莉佳, 廖芝衡, 陈辉, 王永智, 黄柏强, 林巧云, 甘健锋, 杨静. 南海北部珊瑚群落结构特征及其对海洋热浪事件的响应[J]. 热带海洋学报, 2024, 43(3): 58-71.
[8]	邱燕, 鞠东, 黄文凯, 王英民, 聂鑫. 南海中央海盆海底初始扩张时间的重新认定[J]. 热带海洋学报, 2024, 43(2): 154-165.
[9]	赵明辉, 袁野, 张佳政, 张翠梅, 高金尉, 王强, 孙珍, 程锦辉. 南海北部被动陆缘洋陆转换带张裂-破裂研究新进展[J]. 热带海洋学报, 2024, 43(2): 173-183.
[10]	黄谕, 王琳, 麦志茂, 李洁, 张偲. 南海热带岛礁生物土壤结皮中细菌的分离及其固砂特性初步研究[J]. 热带海洋学报, 2023, 42(6): 101-110.
[11]	王辰燕, 史敬文, 颜安南, 康亚茹, 王煜轩, 覃素丽, 韩民伟, 张瑞杰, 余克服. 有机磷酸酯在南海长棘海星中的生物富集特征及来源解析[J]. 热带海洋学报, 2023, 42(5): 30-37.
[12]	李牛, 邸鹏飞, 冯东, 陈多福. 冷泉渗漏对海洋沉积物氧化还原环境地球化学识别的影响——以南海东北部F站位活动冷泉为例^*[J]. 热带海洋学报, 2023, 42(5): 144-153.
[13]	胡晨悦, 丘仲锋, 廖廓, 赵冬至, 吴到懋. 福建海雾的CALIOP遥感监测及基于Himawari-8的云下雾光谱特征分析^*[J]. 热带海洋学报, 2023, 42(4): 104-112.
[14]	张智晟, 谢玲玲, 李君益, 李强. 边缘海与开阔海中尺度涡生命周期演化规律对比分析: 以南海和黑潮延伸体为例[J]. 热带海洋学报, 2023, 42(4): 63-76.
[15]	杨磊, 温金辉, 王强, 罗希, 黄华明, 何云开, 陈举. 热带气旋影响吕宋海峡输运的研究进展与展望^*[J]. 热带海洋学报, 2023, 42(3): 40-51.