1997•Journal of Geophysical Research AtmospheresOpen access

A parametric model for the Yellow Sea thermal variability

Peter C. Chu, Charles R. Fralick, Steven D. Haeger, Michael J. Carron

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Abstract

A thermal parametric model has been developed for analyzing observed regional sea temperature profiles based on a layered structure of temperature fields (mixed layer, thermocline, and deep layers). It contains three major components: (1) a first‐guess parametric model, (2) high‐resolution profiles interpolated from observed profiles, and (3) fitting of high‐resolution profiles to the parametric model. The output of this parametric model is a set of major characteristics of each profile: sea surface temperature, mixed‐layer depth, thermocline depth, thermocline temperature gradient, and deep layer stratification. Analyzing nearly 15,000 Yellow Sea historical (1950–1988) temperature profiles (conductivity‐temperature‐depth station, 4825; expendable bathythermograph, 3213; bathythermograph, 6965) from the Naval Oceanographic Office's Master Oceanographic Observation Data Set by this parametric model, the Yellow Sea thermal field reveals dual structure: one layer (vertically uniform) during winter and multilayer (mixed layer, thermocline, sublayer) during summer. Strong seasonal variations were also found in mixed‐layer depth, thermocline depth, and thermocline strength.

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A thermal parametric model has been developed for analyzing observed regional sea temperature profiles based on a layered structure of temperature fields (mixed layer, thermocline, and deep layers). It contains three major components: (1) a first‐guess parametric model, (2) high‐resolution profiles interpolated from observed profiles, and (3) fitting of high‐resolution profiles to the parametric model. The output of this parametric model is a set of major characteristics of each profile: sea surface temperature, mixed‐layer depth, thermocline depth, thermocline temperature gradient, and deep layer stratification. Analyzing nearly 15,000 Yellow Sea historical (1950–1988) temperature profiles (conductivity‐temperature‐depth station, 4825; expendable bathythermograph, 3213; bathythermograph, 6965) from the Naval Oceanographic Office's Master Oceanographic Observation Data Set by this parametric model, the Yellow Sea thermal field reveals dual structure: one layer (vertically uniform) during winter and multilayer (mixed layer, thermocline, sublayer) during summer. Strong seasonal variations were also found in mixed‐layer depth, thermocline depth, and thermocline strength.

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Available abstract

A thermal parametric model has been developed for analyzing observed regional sea temperature profiles based on a layered structure of temperature fields (mixed layer, thermocline, and deep layers). It contains three major components: (1) a first‐guess parametric model, (2) high‐resolution profiles interpolated from observed profiles, and (3) fitting of high‐resolution profiles to the parametric model. The output of this parametric model is a set of major characteristics of each profile: sea surface temperature, mixed‐layer depth, thermocline depth, thermocline temperature gradient, and deep layer stratification. Analyzing nearly 15,000 Yellow Sea historical (1950–1988) temperature profiles (conductivity‐temperature‐depth station, 4825; expendable bathythermograph, 3213; bathythermograph, 6965) from the Naval Oceanographic Office's Master Oceanographic Observation Data Set by this parametric model, the Yellow Sea thermal field reveals dual structure: one layer (vertically uniform) during winter and multilayer (mixed layer, thermocline, sublayer) during summer. Strong seasonal variations were also found in mixed‐layer depth, thermocline depth, and thermocline strength.

Key concepts: Thermocline, Bathythermograph, Mixed layer, Geology, Stratification (seeds), Sea surface temperature, Climatology, Temperature gradient

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