2010Chinese Journal of GeophysicsRequires access

Inferring ocean heat content variations from satellite altimetry and model data

Wei Feng, Min Zhong, Min Jiang, Houze Xu

Open publisher page 2 citations

Abstract

Considering ocean bottom pressure change, we estimate the heat content variations of the global ocean and the China Sea by using merged altimetric data from 2003 to 2008.The improved method includes the effect of ocean bottom pressure (OBP) variations and the effect of thermal expansion coefficient variations with ocean water's depth.The estimation accuracy of ocean heat content variation is improved in mid and high latitude areas.In North Pacific Region Ⅰ (30°N~50°N,170°E~190°E), South Indian Region Ⅱ (40°S~60°S, 100°E~120°E) and South Pacific Region Ⅲ (40°S~60°S, 100°W~120°W) where OBP changes significantly, the root mean squares of the improved method reduce by 16.3% ,60.5% , and 48.4%.The study also indicates that the accuracy of satellite altimetry and the effect of salinity are the main factors which affect heat content estimation accuracy in mid and high latitude areas.Ocean heat content mainly changes annually in the East China Sea and the Yellow Sea.Besides the annual variation, semiannual and interannual variations exist in the South China Sea.There exists an increasing tendency of heat content in the South China Sea.

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What this paper is about

Considering ocean bottom pressure change, we estimate the heat content variations of the global ocean and the China Sea by using merged altimetric data from 2003 to 2008.The improved method includes the effect of ocean bottom pressure (OBP) variations and the effect of thermal expansion coefficient variations with ocean water's depth.The estimation accuracy of ocean heat content variation is improved in mid and high latitude areas.In North Pacific Region Ⅰ (30°N~50°N,170°E~190°E), South Indian Region Ⅱ (40°S~60°S, 100°E~120°E) and South Pacific Region Ⅲ (40°S~60°S, 100°W~120°W) where OBP changes significantly, the root mean squares of the improved method reduce by 16.3% ,60.5% , and 48.4%.The study also indicates that the accuracy of satellite altimetry and the effect of salinity are the main factors which affect heat content estimation accuracy in mid and high latitude areas.Ocean heat content mainly changes annually in the East China Sea and the Yellow Sea.Besides the annual variation, semiannual and interannual variations exist in the South China Sea.There exists an increasing tendency of heat content in the South China Sea.

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Available abstract

Considering ocean bottom pressure change, we estimate the heat content variations of the global ocean and the China Sea by using merged altimetric data from 2003 to 2008.The improved method includes the effect of ocean bottom pressure (OBP) variations and the effect of thermal expansion coefficient variations with ocean water's depth.The estimation accuracy of ocean heat content variation is improved in mid and high latitude areas.In North Pacific Region Ⅰ (30°N~50°N,170°E~190°E), South Indian Region Ⅱ (40°S~60°S, 100°E~120°E) and South Pacific Region Ⅲ (40°S~60°S, 100°W~120°W) where OBP changes significantly, the root mean squares of the improved method reduce by 16.3% ,60.5% , and 48.4%.The study also indicates that the accuracy of satellite altimetry and the effect of salinity are the main factors which affect heat content estimation accuracy in mid and high latitude areas.Ocean heat content mainly changes annually in the East China Sea and the Yellow Sea.Besides the annual variation, semiannual and interannual variations exist in the South China Sea.There exists an increasing tendency of heat content in the South China Sea.

Key concepts: Ocean heat content, Altimeter, Latitude, Satellite, Climatology, Salinity, Environmental science, Temperature salinity diagrams

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