SNUEI

A process-based evaluation of biases in extratropical stratosphere–troposphere coupling in subseasonal forecast systems

2025 · Weather and Climate Dynamics

저자

Chaim I. Garfinkel, Zachary Duane Lawrence, Amy Hawes Butler, Etienne Dunn‐Sigouin, Irene Erner, Alexey Yu. Karpechko, Gerbrand Koren, Marta Ábalos, Blanca Ayarzagüena, David Barriopedro, Natalia Calvo, Álvaro de la Cámara, Andrew James Charlton-Perez, Judah L. Cohen, Daniela I. V. Domeisen, Javier García‐Serrano, Neil P. Hindley, Martin Jucker, Hera Kim, Robert William Lee, Simon Haydn Lee, Marisol Osman, Froila M. Palmeiro, Inna Polichtchouk, Jian Rao 외 7명

연구주제

Climate variability and models · Meteorological Phenomena and Simulations · 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

기후모델 편차 성층권-대류권 결합 계절내-계절 예측(S2S)

예측 검증

키워드 (OpenAlex)

stratosphere-troposphere coupling subseasonal-to-seasonal forecasting model bias stratospheric temperature anomalies stratospheric vortex model resolution model parameterization inter-model spread

초록

Two-way coupling between the stratosphere and troposphere is recognized as an important source of subseasonal-to-seasonal (S2S) predictability and can open windows of opportunity for improved forecasts. Model biases can, however, lead to a poor representation of such coupling processes; drifts in a model's circulation related to model biases, resolution, and parameterizations have the potential to feed back on the circulation and affect stratosphere–troposphere coupling. We introduce a set of diagnostics using readily available data that can be used to reveal these biases and then apply these diagnostics to 22 S2S forecast systems. In the Northern Hemisphere, nearly all S2S forecast systems underestimate the strength of the observed upward coupling from the troposphere to the stratosphere, downward coupling within the stratosphere, and the persistence of lower-stratospheric temperature a…

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

Climate variability and models

정책분야 1

대기과학

키워드 3

계절내-계절 예측(S2S) · 기후모델 편차 · 성층권-대류권 결합

방법 1

예측 검증