SNUEI

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)

예측 검증

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…

이 논문을 지원한 국가R&D 과제 (NTIS 성과)

NTIS 성과DB(2020–24)에서 DOI 매칭 없음

인접 그래프

노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동

이 문서와 연결된 페이지

교수 1

손석우

연구주제 1

Meteorological Phenomena and Simulations

정책분야 1

대기과학

키워드 1

계절내-계절 예측(S2S)

방법 1

예측 검증