[논문]Eddy Kinetic Energy in the East Sea Estimated from Topex/Poseidon Altimeter Measurements

Cho Kwangwoo; Cho Kyu-Dae

doi:10.5657/fas.2002.5.3.219

Eddy Kinetic Energy in the East Sea Estimated from Topex/Poseidon Altimeter Measurements 원문보기

Journal of fisheries science and technology, v.5 no.3, 2002년, pp.219 - 228

Cho Kwangwoo (Environmental Impact Assessment Division, Korea Environment Institute) , Cho Kyu-Dae (Department of Oceanography, Pukyong National University)

Abstract ▼ AI-Helper

Based on the five-year (October 1992 through September 1997) Topex/Poseidon altimeter measurements, we describe the statistical characteristics of the eddy variability in the East Sea in terms of sea surface height anomaly, slope variability, and eddy kinetic energy (EKE). The sea surface height anomalies in the East Sea are produced with standard corrections from Topex/Poseidon measurements. In order to eliminate the high frequency noise in the sea surface height anomaly data, the alongtrack height anomaly data was filtered by about 40 km low-pass Lanczos filter based on Strub et al. (1997) and Kelly et a1. (1998). We find that there exists a distinct spatial contrast of high eddy variability in the south and low eddy energy in the north, bordering the Polar Front. In the northwestern area $(north\;of\;39^{\circ}N\;and\;west\;of\;133^{\circ}E)$ from the Polar Front where the eddies frequently appear, the EKE is also considerabel. The high kinetic energy in the southern East Sea reveals a close connection with the paths of the Tsushima Warm Current, suggesting that the high variability in the south is mainly generated by the baroclinic instability process of the Tsushima Warm Current. This finding is supported by other studies (Fu and Zlontnicki, 1989; Stammer, 1997) wh.ch have shown the strong eddy energy coupled in the major current system. The monthly variation of the EKE in both areas of high and low eddy variability shows a strong seasonality of a high eddy kinetic energy from October to February and a relatively low one from March to September. The sequential pattern of wind stress curl shows resemblance with those of monthly and seasonal EKE and the two sequences have a correlation of 0.82 and 0.67, respectively, providing an evidence that wind stress curl can be the possible forcing for the monthly and seasonal variation of the EKE in the East Sea. The seasonality of the EKE also seems to correlate with the seasonality of the Tsushima Warm Current. There also exists the large spatial and interannual variabilities in the EKE.

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가설 설정

In the global application of the Topex/Poseidon data, Stammer (1997)characterized theeddy Variability over the world ocean. He found that the strong eddy variability was shown in the major ocean current system and hypothesized that the major eddy-generation mechanism is baroclinic instability, not only near major current but on a broad basis. Zlontnicki et al.
In this study we tried to describe the eddy variability in the East Sea with statistical approach rather than dynamical one. One of the limitation in the present study is the assumption of isotropic condition in calculating EKE because of the spatial sampling interval of the Topex/Poseidon altimeter.
82). Thus it is hypothesized that the monthly variation of the EKE is forced by a monthly variation of wind stress curl in the East Sea. The high EKE in October seems to be related with the seasonality of the Tsushima Warm Current which expands its strength during summer and fall seasons.

제안 방법

For the visual convenience, the SSHA and EKE distributions are arbitrarily divided into three groups of low eddy variability area as small dots (SSHA11.5 cm and EKE>250 cm2/s2), respectively.
In order to find the seasonal variability and to check possible correlation with wind forcing, the seasonal mean variation of the surface EKE is calculated with the five-year Topex/Poseidon measurements. The seasons are divided into spring (S) from April to June, summer (S) from July to September, fall (F) from October to December, and winter (W) January to March, respectively.

이론/모형

The sea state bias is calculated with BM4 fonnula (Gasper and Ogor, 1996). The com ponents of ocean and loading tides are calculated from CSI3.0 model (Eanes and Bettadpur, 1995)and solid earh tide from a model of Cartwright and Tayler (1971). The sea surface height is then derived by subtracting the altimeter range and various correctior s above from the Topex/Poseidon orbit.

후속연구

(1998). However, the signal to noise can be different depending on the ocean applied and thus further study is required to recover the true signal of the current from altimeter data by comparing with direct observation such as drifters and current meter observations. Also spatial distribution of the eddy variability is quite limited in the present study because of the poor sampling in the cross-track direction of the Topex/Poseidon mission.

참고문헌 (28)

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Eddy Kinetic Energy in the East Sea Estimated from Topex/Poseidon Altimeter Measurements 원문보기

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Eddy Kinetic Energy in the East Sea Estimated from Topex/Poseidon Altimeter Measurements 원문보기

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