Reconstruction of vertical thermal structure from several subsurface temperatures in the China Seas and adjacent waters

YIC-IR > 中国科学院海岸带环境过程与生态修复重点实验室 > 海岸带信息集成与战略规划研究中心

	Reconstruction of vertical thermal structure from several subsurface temperatures in the China Seas and adjacent waters
	Hao Jiajia 1,2,3; Chen Yongli 1; Feng Junqiao 1,2; Wang Fan 1
发表期刊	CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY
	2009-06-01
卷号	27 期号:2 页码:218-228
关键词	Thermocline Eof Reconstruction Of Vertical Thermal Structure China Seas
英文摘要	Empirical Orthogonal Function (EOF) analysis is used in this study to generate main eigenvector fields of historical temperature for the China Seas (here referring to Chinese marine territories) and adjacent waters from 1930 to 2002 (510 143 profiles). A good temperature profile is reconstructed based on several subsurface in situ temperature observations and the thermocline was estimated using the model. The results show that: 1) For the study area, the former four principal components can explain 95% of the overall variance, and the vertical distribution of temperature is most stable using the in situ temperature observations near the surface. 2) The model verifications based on the observed CTD data from the East China Sea (ECS), South China Sea (SCS) and the areas around Taiwan Island show that the reconstructed profiles have high correlation with the observed ones with the confidence level > 95%, especially to describe the characteristics of the thermocline well. The average errors between the reconstructed and observed profiles in these three areas are 0.69A degrees C, 0.52A degrees C and 1.18A degrees C respectively. It also shows the model RMS error is less than or close to the climatological error. The statistical model can be used to well estimate the temperature profile vertical structure. 3) Comparing the thermocline characteristics between the reconstructed and observed profiles, the results in the ECS show that the average absolute errors are 1.5m, 1.4 m and 0.17A degrees C/m, and the average relative errors are 24.7%, 8.9% and 22.6% for the upper, lower thermocline boundaries and the gradient, respectively. Although the relative errors are obvious, the absolute error is small. In the SCS, the average absolute errors are 4.1 m, 27.7 m and 0.007A degrees C/m, and the average relative errors are 16.1%, 16.8% and 9.5% for the upper, lower thermocline boundaries and the gradient, respectively. The average relative errors are all < 20%. Although the average absolute error of the lower thermocline boundary is considerable, but contrast to the spatial scale of average depth of the lower thermocline boundary (165 m), the average relative error is small (16.8%). Therefore the model can be used to well estimate the thermocline.
文章类型	Article
收录类别	SCI
语种	英语
关键词[WOS]	DATA ASSIMILATION ; ALTIMETER DATA ; INFERENCE ; SATELLITE ; FIELDS ; OCEAN ; MODEL
研究领域[WOS]	Marine & Freshwater Biology ; Oceanography
WOS记录号	WOS:000267970300005
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.yic.ac.cn/handle/133337/9229
专题	中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
作者单位	1.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Wave Studies, Qingdao 266071, Peoples R China 2.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China 3.CAS, Yantai Inst Costal Zone Res Sustainable Dev, Yantai 264003, Peoples R China
推荐引用方式 GB/T 7714	Hao Jiajia,Chen Yongli,Feng Junqiao,et al. Reconstruction of vertical thermal structure from several subsurface temperatures in the China Seas and adjacent waters[J]. CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY,2009,27(2):218-228.
APA	Hao Jiajia,Chen Yongli,Feng Junqiao,&Wang Fan.(2009).Reconstruction of vertical thermal structure from several subsurface temperatures in the China Seas and adjacent waters.CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY,27(2),218-228.
MLA	Hao Jiajia,et al."Reconstruction of vertical thermal structure from several subsurface temperatures in the China Seas and adjacent waters".CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY 27.2(2009):218-228.