[논문]동아시아 해역의 표층 순열속 변동과 한반도 기온 및 강수량 변동의 상관성 분석

이석준; 장유순

doi:10.4217/opr.2021.43.1.015

동아시아 해역의 표층 순열속 변동과 한반도 기온 및 강수량 변동의 상관성 분석
Correlation Analysis Between the Variation of Net Surface Heat Flux Around the East Asian Seas and the Air T emperature and Precipitation Over the Korean Peninsula 원문보기

Ocean and polar research, v.43 no.1, 2021년, pp.15 - 30

이석준 (국립공주대학교 사범대학 지구과학교육과) , 장유순 (국립공주대학교 사범대학 지구과학교육과)

Abstract ▼ AI-Helper

In this study, using 16 ORA-IP (Ocean Reanalysis Intercomparison Project) data, we investigated spatial and temporal changes of net surface heat flux in the East Asian seas and presented a new ensemble net surface heat flux index. The ensemble net surface heat flux index is produced considering the data distribution and the standard deviation of each ORA-IP. From the correlation analysis with air temperature averaged over the Korean Peninsula, ensemble net heat flux around the Korea Strait shows the highest correlation (0.731) with a 3 month time lag. For the correlation study regarding precipitation over the Korean Peninsula, it also shows significant correlation especially in winter and spring seasons. Similar results are also found in comparison with climate indices (AO, PDO, and NINO3.4), but ensemble net surface heat flux data in winter season reveals the strongest correlation patterns especially with winter temperature and spring precipitation.

주제어

표/그림 (14)

표 Table 1. ORA-IP flux data information used in this study
그림 Fig. 1. (Left upper panel) Spatial distribution of ensemble mean net heat surface flux for 16 ORA-IP product and (left lower panel) spatial mean value of each products. Red line denotes ensemble mean and black solid lines represent one and two times of standard deviation of 16 ORA-IP products. Right panel is the same information but for only 12 selective products
그림 Fig. 2 . (a) Spatial d istribution of th e difference between OA_Flux and ensemble mean net h eat surface flux (Ens_HFLX). Time series of (b) OA_Flux and Ens_HFLX averaged over East Asian seas, and (c) their difference
그림 Fig. 3. Time series of (a) mean surface air-temperature observed by 45 stations over Korean peninsula, (b) ensemble net heat flux over East Asian seas, (c) comparison of each interannual time series convoluted by 24-month Hanning filter, and (d) their cross-correlation time series. Star symbol indicates the largest correlation coefficient between two time series shown in (c), and solid red line represent 95% confidence line
그림 Fig. 4. Spatial distribution of correlation coefficient between ensemble mean net surface heat flux and ensemble mean air-temperature. Black bold line indicates 95% confidence level
그림 Fig. 6. The same as Fig. 4 except for each season of (a) spring, (b) summer, (c) autumn, and (d) winter
그림 Fig. 5. (a) The same as Fig. 4 except for the correlation coefficient with 3-month time lag. (b) Time series of mean surface air temperature and net heat flux at 35.5°N and 130.5°E where shows the largest correlation coefficient with 3-month time lag
그림 Fig. 7 . Correlation coefficient diagram between net surface h eat flux and a ir temperature at each month ly unit with maximum 11-month time delay. Each monthly unit has been produced as a 3-month average value. The colored box indicates high correlation coefficient above 95% confidence level
그림 Fig. 8. The same as Fig. 3 except for precipitation
그림 Fig. 9. The same as Fig. 6 except for precipitation
그림 Fig. 10. The same as Fig. 7 except for the precipitation
그림 Fig. 11. Correlation coefficient between seasonal climate indices (AO, PDO, NINO3.4, and heat flux index suggested in this study) and air-temperature in (a) spring, (b) summer, (c) autumn, and (d) winter season with 95% confidence limits (dotted red lines). Gray bars indicate correlation coefficients with heat flux averaged only around the Yellow Sea, East China Sea, East/Japan Sea, and Northwestern Pacific in order
그림 Fig. 12. The same as Fig. 11 except for the precipitation
그림 Fig. 13. Spatial distribution of correlation coefficient between ensemble mean net surface heat flux in winter season and ensemble mean precipitation in next spring season. Black bold line indicates 95% confidence level

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저자의 다른 논문 :

표제어: PCR

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