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Ma Jirui,Tian Suzhen,Zheng Wenzhen,Chai Xinmin. 1995. Trend analysis of relative sea level rise or fall of the tide gauge stations in the Pacific. Acta Oceanologica Sinica, (3):319-328
Trend analysis of relative sea level rise or fall of the tide gauge stations in the Pacific
Trend analysis of relative sea level rise or fall of the tide gauge stations in the Pacific
Received:January 10, 1995  Revised:March 05, 1995
DOI:
Key words:Pacific  sea level  nonlinear  bi-spectrum  spectral analysis  period component  linear trend
中文关键词:  Pacific  sea level  nonlinear  bi-spectrum  spectral analysis  period component  linear trend
基金项目:This study was supported by the National Natural Science Foundation of China under contrast No. 49376261.
Author NameAffiliation
Ma Jirui Insitute of Marine Scientific and Technological Information, State Ocedc Administration, Tianjing 300171, China 
Tian Suzhen Research Institute of Marine Strategies, State Oceanic Administration, Beijing 100081, China 
Zheng Wenzhen Insitute of Marine Scientific and Technological Information, State Ocedc Administration, Tianjing 300171, China 
Chai Xinmin Insitute of Marine Scientific and Technological Information, State Ocedc Administration, Tianjing 300171, China 
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Abstract:
      On the basis of the analytical results of the period components of monthly mean sea level of 236 stations in the Pacific, the period components plus linear trend are used to fit the monthly mean sea level series.The statistical results of linear trend croefficients of these stations indicate that, if the abnormal values of sea-level rise and fall are neglected, the average rise rate of relative sea level in the Pacific is 1.16 mm/a.Affected by nonuniformity of land subsidente and other factors, the regional change of relative sea level rise or faV in the Pacific is greater.In the light of the positive or negative values of linear trend coefficients as well es the geographical position of the sea area, zoning is made of the sea level rise or faV in the Pacific including the coastal areas of China and Southeast Asia to obtain the average rate of rise or fall in each sea area.The rise or fall trends of relative sea level obtained for the entire Pacific Ocean, west coast of North America, the northern and central South America, the greater part of the tropical Pacific and the croastal Islands of Japan are basically in keeping with the other relevant results.The regional average estimated result of the relative sea level in the coast of East Asia is on the rise while the estimated results provided by Barnett tend to drop;the main cause of this nonuniformity is the number of stations selected and the distributional density.
中文摘要:
      On the basis of the analytical results of the period components of monthly mean sea level of 236 stations in the Pacific, the period components plus linear trend are used to fit the monthly mean sea level series.The statistical results of linear trend croefficients of these stations indicate that, if the abnormal values of sea-level rise and fall are neglected, the average rise rate of relative sea level in the Pacific is 1.16 mm/a.Affected by nonuniformity of land subsidente and other factors, the regional change of relative sea level rise or faV in the Pacific is greater.In the light of the positive or negative values of linear trend coefficients as well es the geographical position of the sea area, zoning is made of the sea level rise or faV in the Pacific including the coastal areas of China and Southeast Asia to obtain the average rate of rise or fall in each sea area.The rise or fall trends of relative sea level obtained for the entire Pacific Ocean, west coast of North America, the northern and central South America, the greater part of the tropical Pacific and the croastal Islands of Japan are basically in keeping with the other relevant results.The regional average estimated result of the relative sea level in the coast of East Asia is on the rise while the estimated results provided by Barnett tend to drop;the main cause of this nonuniformity is the number of stations selected and the distributional density.
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