利用经验正交函数数据插值法重构东中国海叶绿素a质量浓度场

海洋学研究 ›› 2013, Vol. 31 ›› Issue (2): 10-15.

利用经验正交函数数据插值法重构东中国海叶绿素a质量浓度场

何海伦, 李熠, 王渊, 宋迅殊, 刘晓辉

卫星海洋环境动力学国家重点实验室,国家海洋局第二海洋研究所,浙江杭州 310012

收稿日期:2013-03-05 修回日期:2013-03-21 出版日期:2013-06-15 发布日期:2022-11-29
作者简介:何海伦(1982-),男,江苏淮安市人,博士,主要从事物理海洋学研究。E-mail:hehailun@sio.org.cn
基金资助:
国家自然科学基金重大研究计划重点支持资助项目(91128204);国家自然科学基金青年科学基金资助项目(41106019,41106020);国家博士后基金资助项目(20100481449);国家海洋局第二海洋研究所基本科研业务费专项资助项目(GT1205)

Reconstruction of chlorophyll a mass concentration in the East China Sea using Data INterpolating Empirical Orthogonal Functions

HE Hai-lun, LI Yi, WANG Yuan, SONG Xun-shu, LIU Xiao-hui

State Key Laboratory of Satellite Ocean Environment Dynamics, The SecondInstitute of Oceanography, SOA, Hangzhou 310012, China

Received:2013-03-05 Revised:2013-03-21 Online:2013-06-15 Published:2022-11-29

摘要/Abstract

摘要： 利用经验正交函数数据插值法(Data INterpolating Empirical Orthogonal Functions)重构由MODIS-Aqua卫星提供的三级产品叶绿素a质量浓度,得到了从2003—2009年东中国海叶绿素a质量浓度的月平均场。东中国海近岸叶绿素a质量浓度7 a平均值明显高于外海。对叶绿素a质量浓度季节平均场进行分析研究表明,东中国海叶绿素a质量浓度主要受长江径流、海表水温和季风的影响。对叶绿素a质量浓度异常场进行EOF分析表明,第一模态方差贡献为37.8％,空间分布显示,在长江口东北部出现叶绿素a质量浓度异常高值区,时间变化以半年和半年以下周期为主;第二模态方差贡献为21.4％,空间分布显示,在长江口东部出现叶绿素a质量浓度异常高值区,时间系数主要表现为年际变化。

关键词: 叶绿素a质量浓度, 经验正交函数数据插值法, 东中国海

Abstract: Data INterpolating Empirical Orthogonal Functions (DINEOF) were used to reconstruct the chlorophyll a mass concentration from the three-level product of the MODIS-Aqua satellite. The monthly chlorophyll a mass concentration from 2003 to 2009 was obtained. The analysis on the filled data showed that the 7-years averaged chlorophyll a mass concentration in the nearshore is significantly larger than the one in the offshore. The seasonal chlorophyll-a mass concentration supports the conclusion that chlorophyll a in the East China Sea is mainly controlled by runoff of Changjiang River, sea surface temperature and monsoon. Furthermore, Empirical Orthogonal Functions were imposed on the chlorophyll a anomaly, and results showed that the first mode contribution is 37.8%, also the spatial pattern shows large value in the north-east of Changjiang River, and the corresponding temporal period is dominated by half a year or less. Meanwhile, the second mode contribution is 21.4%, the spatial pattern presents high value in the east of Changjiang River, and its temporal coefficient shows the inter-annual variance.

Key words: chlorophyll a mass concentration, Data INterpolating Empirical Orthogonal Functions, the East China Sea

中图分类号:

何海伦, 李熠, 王渊, 宋迅殊, 刘晓辉. 利用经验正交函数数据插值法重构东中国海叶绿素a质量浓度场[J]. 海洋学研究, 2013, 31(2): 10-15.

HE Hai-lun, LI Yi, WANG Yuan, SONG Xun-shu, LIU Xiao-hui. Reconstruction of chlorophyll a mass concentration in the East China Sea using Data INterpolating Empirical Orthogonal Functions[J]. Journal of Marine Sciences, 2013, 31(2): 10-15.

参考文献

[1] WU Yu-mei, XU Zhao-li, CUI Xue-sen, et al. Temporal-spatial change of concentration of chlorophyll a in the East China Sea during 1997-2007[J]. Research of Environmental Science,2008,21(6):137-142.
伍玉梅,徐兆礼,崔雪森,等.1997—2007年东海叶绿素a质量浓度的时空变化分析[J].环境科学研究,2008,21(6):137-142.
[2] HAMA T, SHIN K H, HANDA N. Spatial variability in the primary productivity in the East China Sea and its adjacent waters[J]. Journal of Oceanography,1997,53:41-51.
[3] ZHOU Wei-hua, YUAN Xiang-cheng, HUO Wen-yi, et al. Distribution of chlorophyll a and primary productivity in the adjacent sea area of Changjiang River Estuary[J]. Acta Oceanologica Sinica,2004,26(3):143-150.
周伟华,袁翔城,霍文毅,等.长江口邻域叶绿素a和初级生产力的分布[J].海洋学报,2004,26(3):143-150.
[4] GONG G C, SHIAH F K, LIU K K, et al. Spatial and temporal variation of chlorophyll a, primary productivity and chemical hydrography in the southern East China Sea[J]. Continental Shelf Research,2000,20:411-436.
[5] SHANG Shao-ling, HONG Hua-sheng, ZHANG Cai-yun, et al. Chl a distribution feature of the Taiwan Straits region in winter, 1998 as observed by SeaWiFS[J]. Marine Science Bulletin,2001,20(2):25-29.
商少凌,洪华生,张彩云,等.1998年冬季台湾海峡遥测叶绿素分布特征[J].海洋通报,2001,20(2):25-29.
[6] CHEN Chu-qun, SHI Ping, MAO Qing-wen. Satellite remotely-sensed analysis of distribution characters of Chlorophyll concentration in South China Sea[J]. Journal of Tropical Oceanography,2001,20(2):66-71.
陈楚群,施平,毛庆文.南海海域叶绿素浓度分布特征的卫星遥感分析[J].热带海洋学报,2001,20(2):66-71.
[7] CONG Pi-fu, NIU Zheng, MENG Ji-hua, et al. Variability of chlorophyll a retrieved from satellite in Chinese shelf sea from 1998 to 2003[J]. Marine Environmental Science,2006,25(1):30-33.
丛丕福,牛铮,蒙继华,等.1998—2003年卫星反演的中国陆架海叶绿素a浓度变化分析[J].海洋环境科学,2006,25(1):30-33.
[8] BECKERS J M, RIXEN M. EOF calculations and data filling from incomplete oceanographic data sets[J]. Journal of Atmospheric and Oceanic Technology,2003,20(12):1 839-1 856.
[9] ALVERA-AZCARATE A, BARTH A, RIXEN M, et al. Reconstruction of incomplete oceanographic data sets using empirical orthogonal functions: Application to the Adriatic Sea[J]. Ocean Modelling,2005,9(4):325-346.