Objective analysis and classification of the ten-day mean sea surface temperature variation in the East China Sea using singular value decomposition technique
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Objective analysis and classification of the ten-day mean sea surface temperature variation in the East China Sea using singular value decomposition technique
Objective analysis and classification of the ten-day mean sea surface temperature variation in the East China Sea using singular value decomposition technique
海洋湖沼学报(英文)1983年1卷第2期 页码:145-155
Affiliations:
Institute of Oceanology Academia Sinica
Author bio:
Funds:
Contribution No. 801 from the Institute of Oceanology, Academia Sinica. An abstract of this paper was presented at an IAPSO Session of XVII IUGG held at Canberra, Australia, December 1979.
Objective analysis and classification of the ten-day mean sea surface temperature variation in the East China Sea using singular value decomposition technique[J]. 海洋湖沼学报(英文), 1983,1(2):145-155.
Zijun, G., Hanli, M. Objective analysis and classification of the ten-day mean sea surface temperature variation in the East China Sea using singular value decomposition technique., Chin. J. Ocean. Limnol. 1, 145–155 (1983). https://doi.org/10.1007/BF02900478
Objective analysis and classification of the ten-day mean sea surface temperature variation in the East China Sea using singular value decomposition technique[J]. 海洋湖沼学报(英文), 1983,1(2):145-155. DOI: 10.1007/BF02900478.
Zijun, G., Hanli, M. Objective analysis and classification of the ten-day mean sea surface temperature variation in the East China Sea using singular value decomposition technique., Chin. J. Ocean. Limnol. 1, 145–155 (1983). https://doi.org/10.1007/BF02900478DOI:
Objective analysis and classification of the ten-day mean sea surface temperature variation in the East China Sea using singular value decomposition technique
摘要
Abstract
The seasonal changes of the ten-day mean sea surface temperature in the East China Sea for the years 1953–1972 were studied using the singular value decomposition technique. Main results obtained are as follows: In the singular vector analysis of the ten-day mean sea surface temperature in the East China Sea
the first three singular vectors (or seasonal march functions) account for 97.76% of the variance of the data. The geographical distribution in the weightings (or spatial pattern functions) on these vectors shows a remarkable regional organization. An objective classification of the surface water mass in the East China Sea was based on the mode of its seasonal temperature changes.
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Keywords
references
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