SNUEI

The predictability of the extratropical stratosphere on monthly time‐scales and its impact on the skill of tropospheric forecasts

2014 · Quarterly Journal of the Royal Meteorological Society

저자

Om P. Tripathi, Mark Baldwin, Andrew James Charlton-Perez, Martin Charron, Stephen D. Eckermann, Edwin Paul Gerber, R. G. Harrison, D. R. Jackson, Baek‐Min Kim, Yuhji Kuroda, Andrea L. Lang, Sana Mahmood, Ryo Mizuta, Greg Roff, Michael Sigmond, 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

성층권-대류권 결합 성층권 극소용돌이 계절내-계절 예측(S2S)

문헌 고찰

키워드 (OpenAlex)

polar vortex stratosphere-troposphere coupling subseasonal forecasting Rossby waves

초록

Extreme variability of the winter‐ and spring‐time stratospheric polar vortex has been shown to affect extratropical tropospheric weather. Therefore, reducing stratospheric forecast error may be one way to improve the skill of tropospheric weather forecasts. In this review, the basis for this idea is examined. A range of studies of different stratospheric extreme vortex events shows that they can be skilfully forecasted beyond 5 days and into the sub‐seasonal range (0–30 days) in some cases. Separate studies show that typical errors in forecasting a stratospheric extreme vortex event can alter tropospheric forecast skill by 5–7% in the extratropics on sub‐seasonal time‐scales. Thus understanding what limits stratospheric predictability is of significant interest to operational forecasting centres. Both limitations in forecasting tropospheric planetary waves and stratospheric model biases…

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 3

계절내-계절 예측(S2S) · 성층권 극소용돌이 · 성층권-대류권 결합

방법 1

문헌 고찰