Dynamical Consistency of Reanalysis Datasets in the Extratropical Stratosphere
2016 · Journal of Climate
저자
Patrick Martineau, 손석우 (Seok‐Woo Son), Masakazu Taguchi
연구주제
Atmospheric Ozone and Climate · Meteorological Phenomena and Simulations · Climate variability and models
NTIS 과학기술표준분류
에너지/자원만에너지·환경·원자력 확장
배정 근거: AI 키워드가 잡은 NTIS 과제의 분류(정책 연계 맵과 같은 방법).
AI 연구 키워드·방법
extratropical stratosphere momentum budget 재분석 자료 불확실성
키워드 (OpenAlex)
reanalysis data time consistency extratropical stratosphere Coriolis torque gravity wave drag polar vortex ERA-Interim reanalysis ERA-40
초록
Abstract Reanalysis data provide a good estimate of global atmospheric temperature and wind fields. However, the available reanalysis datasets reveal nonnegligible discrepancies in their mean state and temporal variability. In this study, the quality of eight reanalysis datasets is evaluated by examining their dynamical consistency in the extratropical stratosphere. The dynamical consistency is quantified by computing the residual of the zonal-mean momentum equation. The residual is generally small in the lower stratosphere, especially at and below 30 hPa, but increases significantly aloft in both hemispheres poleward of 45°, where the effect of parameterized gravity wave drag becomes important. However, at most levels, a large difference in the residual is found among the datasets. This interdata difference is mainly caused by an uncertainty in the Coriolis torque. The non-quasigeostrop…
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