Stratospheric Initial Condition for Skillful Surface Prediction in the ECMWF Model
2019 · Geophysical Research Letters
저자
Jung Ho Choi, 손석우 (Seok‐Woo Son)
연구주제
Meteorological Phenomena and Simulations · Climate variability and models · Atmospheric Ozone and Climate
NTIS 과학기술표준분류
에너지/자원만에너지·환경·원자력 확장
지구과학 > 대기과학 > 대기 모델링/예보기술에너지 외
배정 근거: AI 키워드가 잡은 NTIS 과제의 분류(정책 연계 맵과 같은 방법).
AI 연구 키워드·방법
planetary wave reflection stratospheric initial condition 계절내-계절 예측(S2S)
키워드 (OpenAlex)
subseasonal-to-seasonal forecasting sea level pressure boreal winter wave reflection forecast skill
초록
Abstract The subseasonal‐to‐seasonal prediction of boreal‐winter sea‐level pressure (SLP) is investigated by examining 19‐year reforecast data sets from the European Centre for Medium‐Range Weather Forecasts ensemble prediction system. Based on a pattern anomaly correlation coefficient of 0.6, the model reliably predicted the extratropical SLP anomalies with a maximum forecast lead time of 9.8 days. This prediction skill, however, varies significantly from one forecast to another. The forecasts with relatively high skills and those with low skills exhibit significant zonal Wavenumber 1 patterns in the stratospheric initial conditions with an opposite sign. The high‐skill forecasts present a relatively weak westward Wavenumber 1 phase tilt with height compared with the low‐skill forecasts, dampening an upward wave propagation in the stratosphere. This result suggests that not only the zon…
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Meteorological Phenomena and Simulations