The Predictability of the Downward Versus Non‐Downward Propagation of Sudden Stratospheric Warmings in S2S Hindcasts

Author:

Nebel David M.12,Garfinkel Chaim I.1ORCID,Cohen Judah34ORCID,Domeisen Daniela I. V.25,Rao Jian6ORCID,Schwartz Chen17ORCID

Affiliation:

1. Fredy and Nadine Herrmann Institute of Earth Sciences Hebrew University Jerusalem Israel

2. Institute for Atmospheric and Climate Science Zurich Switzerland

3. Atmospheric and Environmental Research Inc. Lexington MA USA

4. Massachusetts Institute of Technology Cambridge MA USA

5. University of Lausanne Lausanne Switzerland

6. Key Laboratory of Meteorological Disaster Ministry of Education (KLME) Joint International Research Laboratory of Climate and Environment Change (ILCEC) Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC‐FEMD) Nanjing University of Information Science and Technology Nanjing China

7. Centre for Climate Research Singapore Singapore Singapore

Abstract

AbstractRoughly one‐third of sudden stratospheric warming (SSW) events lack a strong canonical surface response, and this can lead to a forecast bust if a strong response was predicted. Hence, it is desirable to predict before SSW onset if an event will propagate downward. The predictability of the downward response of SSWs is considered in seven subseasonal‐to‐seasonal forecast models for 16 major SSWs between 1998 and 2022, a larger sample size than considered by previous works. The models successfully predict before SSW onset which SSWs have a stronger downward response to 100 hPa, however they struggle to predict which have a stronger tropospheric response. The downward response is stronger if the magnitude of the deceleration of the 10 hPa winds is more accurately predicted. Downward response is stronger for split and absorbing SSWs. In contrast, there is little relationship between SSWs whose onset can be predicted at earlier leads and the downward response.

Funder

Israel Science Foundation

National Natural Science Foundation of China

National Science Foundation

Publisher

American Geophysical Union (AGU)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3