Collaborative Research: The Influence of Arctic - Lower-Latitude Interactions on Weather and Climate Variability: Mechanisms, Predictability, and Prediction

合作研究：北极-低纬度相互作用对天气和气候变率的影响：机制、可预测性和预测

• 批准号: 1736738
• 负责人: Young-Oh Kwon
• 金额: $ 54万
• 依托单位: Woods Hole Oceanographic Institution
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-15 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1736738&HistoricalAwards=false
• 关键词: Collaborative; Research; Influence; Arctic; Lower

With the rapidly melting sea-ice, the Arctic is becoming increasingly important not only scientifically but also socioeconomically and geopolitically. Early efforts indicate that there is potential to predict Arctic variability on timescales ranging from subseasonal to decadal. However, skillful operational predictions of the Arctic weather and climate require major advances in our understanding of linkages in climate and weather extremes between the Arctic and lower-latitudes, and subsequently, how best to represent relevant mechanisms in prediction systems. While the changes in the lower-latitude ocean and atmosphere inevitably influence the Arctic, the interaction is truly two-way, in that changes in the Arctic also impact the lower-latitude climate and weather, in particular midlatitude extreme weather events. To improve our fundamental dynamical understanding, modeling capabilities, and prediction skill, using a combination of available observations and state-of-the-art climate models, the team proposes to investigate tropical and mid-latitude oceanic and atmospheric drivers of regional Arctic changes. They will also investigate the role of the Arctic on the Northern Hemisphere climate variability and weather extremes. The team will participate in the European Union (EU)-led international multi-model inter-comparison study, the Blue-Action Project under the EU Horizon 2020 Programme. A deeper understanding of Arctic-lower-latitude linkages, and our capacity for predicting Arctic and Northern Hemisphere variability is relevant to a wide variety of end-user applications, such as weather forecasting, fisheries management, commercial shipping, commercial insurance, and naval operations. Thus, this project has substantial broader impacts. The project team will also actively perform outreach activities to disseminate findings and to educate public through webpages, public lectures, K-12 school visits, teacher trainings, and Research Experience for Undergraduates (REU) programs. A postdoctoral scientist will also be trained under this project.

随着海冰的迅速融化，北极不仅在科学上，而且在社会经济和地缘政治上都变得越来越重要。早期的努力表明，有潜力预测北极的变化的时间尺度从亚季节到十年。然而，要对北极天气和气候进行熟练的业务预测，就需要我们在以下方面取得重大进展：了解北极与低纬度地区之间气候和极端天气之间的联系，以及如何最好地在预测系统中体现相关机制。虽然低纬度海洋和大气的变化不可避免地影响北极，但这种相互作用实际上是双向的，因为北极的变化也影响低纬度气候和天气，特别是中纬度极端天气事件。为了提高我们的基本动力学理解，建模能力和预测技能，使用现有观测和最先进的气候模型相结合，该团队建议调查区域北极变化的热带和中纬度海洋和大气驱动因素。他们还将调查北极对北方气候变化和极端天气的作用。该团队将参与欧盟领导的国际多模式相互比较研究，即欧盟地平线2020计划下的蓝色行动项目。对北极-低纬度联系的更深入理解以及我们预测北极和北方半球变化的能力与各种终端用户应用有关，例如天气预报、渔业管理、商业航运、商业保险和海军行动。因此，该项目具有相当广泛的影响。项目团队还将积极开展外展活动，通过网页，公开讲座，K-12学校访问，教师培训和本科生研究经验（REU）计划传播研究结果并教育公众。 一名博士后科学家也将在该项目下接受培训。

项目成果

The abyssal origins of North Atlantic decadal predictability

北大西洋年代际可预测性的深渊起源

• DOI: 10.1007/s00382-020-05382-4
• 发表时间: 2020
• 期刊: Climate Dynamics
• 影响因子: 4.6
• 作者: Yeager, Stephen

Decadal predictability of North Atlantic blocking and the NAO

• DOI: 10.1038/s41612-020-0120-6
• 发表时间: 2020-06-03
• 期刊: NPJ CLIMATE AND ATMOSPHERIC SCIENCE
• 影响因子: 9
• 作者: Athanasiadis, Panos J.;Yeager, Stephen;Tibaldi, Stefano
• 通讯作者: Tibaldi, Stefano

North Atlantic Natural Variability Modulates Emergence of Widespread Greenland Melt in a Warming Climate

• DOI: 10.1029/2018gl079682
• 发表时间: 2018-09-16
• 期刊: GEOPHYSICAL RESEARCH LETTERS
• 影响因子: 5.2
• 作者: Hahn, L.;Ummenhofer, C. C.;Kwon, Y. -O.
• 通讯作者: Kwon, Y. -O.

Quantification of the Arctic Sea Ice‐Driven Atmospheric Circulation Variability in Coordinated Large Ensemble Simulations

• DOI: 10.1029/2019gl085397
• 发表时间: 2020-01
• 期刊: Geophysical Research Letters
• 影响因子: 5.2
• 作者: Yu‐Chiao Liang;Young‐Oh Kwon;C. Frankignoul;G. Danabasoglu;S. Yeager;A. Cherchi;Yongqi Gao;G. Gastineau;R. Ghosh;D. Matei;J. Mecking;D. Peano;L. Suo;T. Tian

Impacts of Arctic Sea Ice on Cold Season Atmospheric Variability and Trends Estimated from Observations and a Multi-model Large Ensemble

• DOI: 10.1175/jcli-d-20-0578.1
• 发表时间: 2021-08
• 期刊: Journal of Climate
• 影响因子: 4.9
• 作者: Yu‐Chiao Liang;C. Frankignoul;Young‐Oh Kwon;G. Gastineau;E. Manzini;G. Danabasoglu;L. Suo;S. Yeager;Yongqi Gao;J. Attema;A. Cherchi;R. Ghosh;D. Matei;J. Mecking;T. Tian;Ying Zhang