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Korean Meteorological Society (한국기상학회)
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Eddy Momentum, Heat, and Moisture Transports During the Boreal Winter: Three Reanalysis Data Comparison

북반구 겨울철 에디들에 의한 운동량, 열 그리고 수분 수송: 세 가지 재분석 자료 비교

  • Moon, Hyejin (Department of Atmospheric Sciences, Division of Earth Environmental System, Pusan National University) ;
  • Ha, Kyung-Ja (Department of Atmospheric Sciences, Division of Earth Environmental System, Pusan National University)
  • 문혜진 (부산대학교 지구환경시스템학부 대기과학전공) ;
  • 하경자 (부산대학교 지구환경시스템학부 대기과학전공)
  • Received : 2016.09.01
  • Accepted : 2016.12.15
  • Published : 2016.12.31
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Abstract

This study investigates eddy transports in terms of space and time for momentum, heat, and moisture, emphasizing comparison of the results in three reanalysis data sets including ERA-Interim from the European Center for Medium-range Weather Forecasts (ECMWF), NCEP2 from the National Center for Environmental Prediction and the Department of Energy (NCEP-DOE), and JRA-55 from the Japan Meteorological Agency (JMA) during boreal winter. The magnitudes for eddy transports of momentum in ERA-Interim are represented as the strongest value in comparison of three data sets, which may be mainly come from that both zonal averaged meridional and zonal wind tend to follow the hierarchy of ERA-Interim, NCEP2, and JRA-55. Whereas in relation to heat and moisture eddy transports, those of NCEP2 are the strongest, implying that zonal averaged air temperature (specific humidity) tend to follow the raking of NCEP2, ERA-Interim, and JRA-55 (NCEP2, JRA-55, and ERA-Interim), except that transient eddy transports for heat in ERA-Interim are the strongest involving both meridional wind and air temperature. The stationary and transient eddy transports in the context of space and time correlation, and intensity of standard deviation demonstrate that the correlation (intensity of standard deviation) influence the structure (magnitude) of eddy transports. The similarity between ERA-Interim and NCEP2 (ERA-Interim and JRA-55) of space correlation (time correlation) closely resembles among three data sets. A resemblance among reanalysis data sets of space correlation is larger than that of time correlation.

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References

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