SNUEI

Forecast-based attribution of the role of stratospheric variability in weather extremes

2026 · Weather and Climate Dynamics

저자

William J. M. Seviour, Justin M Finkel, Philip Rupp, Regan Mudhar, Amy Hawes Butler, Chaim I. Garfinkel, Peter B. Hitchcock, Blanca Ayarzagüena, Dong‐Chan Hong, Yu‐Kyung Hyun, Hera Kim, Eun‐Pa Lim, Daniel De Maeseneire, Gabriele Messori, Gerbrand Koren, Michael Sigmond, Isla Ruth Simpson, 손석우 (Seok‐Woo Son)

연구주제

Climate variability and models · Atmospheric Ozone and Climate · Meteorological Phenomena and Simulations

NTIS 과학기술표준분류

에너지/자원만에너지·환경·원자력 확장

가장 가까운 분류(지구과학 > 자연재해분석/예측 > 폭염재해발생 분석/예측)가 에너지·환경·원자력 확장 범위 밖이다.

AI 연구 키워드·방법

한기 유출(한파) extreme event attribution 폭염 성층권 돌연승온(SSW)

너징 실험

키워드 (OpenAlex)

sudden stratospheric warming stratospheric polar vortex stratosphere-troposphere coupling extreme weather events extreme event attribution subseasonal forecasting cold air outbreaks snowfall

초록

Abstract. Variability of the stratospheric polar vortex, particularly its dramatic breakdown during sudden stratospheric warming (SSW) events, has been linked to a number of surface weather extremes. However, attributing the role of stratospheric variability in a specific observed weather extreme, rather than an abstracted class of extremes, has proved highly challenging. Here we use an ensemble of subseasonal forecast simulations from 7 forecast systems participating in the Stratospheric Nudging and Predictable Surface Impacts (SNAPSI) project to carry out this task. By comparing the likelihood of extreme events in free-running forecasts to those with the zonal-mean stratospheric state nudged towards its observed or climatological evolution (while the troposphere is freely-evolving), we are able to calculate the changes in the risk and severity of extremes due to the occurrence, or non-…

이 논문을 지원한 국가R&D 과제 (NTIS 성과)

NTIS 성과DB(2020–24)에서 DOI 매칭 없음

인접 그래프

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교수 1

손석우

연구주제 1

Climate variability and models

키워드 3

성층권 돌연승온(SSW) · 폭염 · 한기 유출(한파)

방법 1

너징 실험