The Seasonal Atmospheric Circulation and Climate Response to Arctic Sea Ice Loss: Mechanisms and Robustness across Models

季节性大气环流和气候对北极海冰损失的响应:各模型的机制和稳健性

基本信息

  • 批准号:
    1203539
  • 负责人:
  • 金额:
    $ 69.04万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-07-01 至 2016-06-30
  • 项目状态:
    已结题

项目摘要

The PIs propose to use 4 state-of-the-art coupled climate models participating in theIntergovernmental Panel on Climate Change 4th and 5th Assessment Reports in a consistent framework to investigate several outstanding issues related to the seasonal atmospheric response to Arctic sea ice loss including: model sensitivity to identical prescriptions of Arctic sea ice loss; the relative roles of late summer/early autumn vs. winter sea ice retreat; and the mediating influences of troposphere-stratosphere coupling and terrestrial snow cover. By using the same experimental design in all 4 models, they anticipate being able to assess the robustness of the seasonal atmospheric and surface climate response as well as identify the underlying physical processes.Policy and management responses to scenarios of future climate change will be informed by many sources, including models. It is known that some aspects of model output are robust between models and others are less so. The partnership between university, government, and international scientists contributing to this study will assess the robustness and uncertainty of models with respect to various polar processes.
PI建议在一个一致的框架内使用4个最先进的耦合气候模式参与政府间气候变化专门委员会第4和第5次评估报告,以调查与北极海冰损失的季节性大气响应相关的几个悬而未决的问题,包括:模式对北极海冰损失的相同处方的敏感性;夏末/初秋与冬季海冰退缩的相对作用;对流层-平流层耦合和地面积雪的中介作用。通过在所有4个模型中使用相同的实验设计,他们预计能够评估季节性大气和地面气候响应的稳健性,并确定潜在的物理过程,包括模型在内的许多来源将为政策和管理对未来气候变化情景的反应提供信息。 众所周知,模型输出的某些方面在模型之间是鲁棒的,而其他方面则不那么鲁棒。 参与本研究的大学、政府和国际科学家之间的合作将评估模型针对各种极地过程的稳健性和不确定性。

项目成果

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Clara Deser其他文献

Regional Sea Level Change over the North Pacific in CMIP models from 2000 to 2300 & Relation between interior sea level change and western boundary sea level change
2000-2300年CMIP模型北太平洋区域海平面变化及内陆海平面变化与西部边界海平面变化的关系
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Matthew Newman;Michael Alexander;Toby Ault;Kim Cobb;Clara Deser;Emanuele Di Lorenzo;Nathan Mantua;Arthur Miller;Shoshiro Minobe;Hisashi Nakamura;Niklas Schneider;Daniel Vimont;Adam Phillips;Tatsuo Suzuki
  • 通讯作者:
    Tatsuo Suzuki
A global overview of marine heatwaves in a changing climate
不断变化的气候中的海洋热浪全球概述
  • DOI:
    10.1038/s43247-024-01806-9
  • 发表时间:
    2024-11-20
  • 期刊:
  • 影响因子:
    8.900
  • 作者:
    Antonietta Capotondi;Regina R. Rodrigues;Alex Sen Gupta;Jessica A. Benthuysen;Clara Deser;Thomas L. Frölicher;Nicole S. Lovenduski;Dillon J. Amaya;Natacha Le Grix;Tongtong Xu;Juliet Hermes;Neil J. Holbrook;Cristian Martinez-Villalobos;Simona Masina;Mathew Koll Roxy;Amandine Schaeffer;Robert W. Schlegel;Kathryn E. Smith;Chunzai Wang
  • 通讯作者:
    Chunzai Wang
When is a trend meaningful? Insights to carbon cycle variability from an initial-condition large ensemble
趋势何时有意义?来自初始条件大集合的碳循环变异性的见解
  • DOI:
    10.1038/s41612-024-00878-w
  • 发表时间:
    2024-12-21
  • 期刊:
  • 影响因子:
    8.400
  • 作者:
    Gordon B. Bonan;Clara Deser;William R. Wieder;Danica L. Lombardozzi;Flavio Lehner
  • 通讯作者:
    Flavio Lehner
Predictability of tropical Pacific decadal variability is dominated by oceanic Rossby waves
热带太平洋年代际变率的可预测性主要由海洋罗斯贝波主导
  • DOI:
    10.1038/s41612-024-00851-7
  • 发表时间:
    2024-11-30
  • 期刊:
  • 影响因子:
    8.400
  • 作者:
    Xian Wu;Stephen G. Yeager;Clara Deser;Antonietta Capotondi;Andrew T. Wittenberg;Michael J. McPhaden
  • 通讯作者:
    Michael J. McPhaden
Strong 2023–2024 El Niño generated by ocean dynamics
由海洋动力学产生的强烈 2023-2024 年厄尔尼诺现象
  • DOI:
    10.1038/s41561-025-01700-9
  • 发表时间:
    2025-05-23
  • 期刊:
  • 影响因子:
    16.100
  • 作者:
    Qihua Peng;Shang-Ping Xie;Ayumu Miyamoto;Clara Deser;Pengcheng Zhang;Matthew T. Luongo
  • 通讯作者:
    Matthew T. Luongo

Clara Deser的其他文献

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{{ truncateString('Clara Deser', 18)}}的其他基金

Collaborative Research: Uncertainty in Antarctic Climate Change Projections and the Role of Sea Ice, Clouds and Ocean Structure
合作研究:南极气候变化预测的不确定性以及海冰、云和海洋结构的作用
  • 批准号:
    1643484
  • 财政年份:
    2017
  • 资助金额:
    $ 69.04万
  • 项目类别:
    Standard Grant
Collaborative Research: Reconstruction and Understanding of Antarctic Circulation Variability and Trends since 1905
合作研究:1905年以来南极环流变化和趋势的重建和理解
  • 批准号:
    1341527
  • 财政年份:
    2014
  • 资助金额:
    $ 69.04万
  • 项目类别:
    Standard Grant
An Informed Guide to Climate Data Sets with Relevance to Earth System Model Evaluation
与地球系统模型评估相关的气候数据集知情指南
  • 批准号:
    1048899
  • 财政年份:
    2011
  • 资助金额:
    $ 69.04万
  • 项目类别:
    Standard Grant
Applying Ice Cores, Instrumental Climate Records and Climate Modeling Towards a Mechanistic Understanding of Antarctic Climate Variability on Interannual to Multidecadal Time Scale
应用冰芯、仪器气候记录和气候模型对南极气候年际至数十年时间尺度变化的机制进行理解
  • 批准号:
    0838871
  • 财政年份:
    2009
  • 资助金额:
    $ 69.04万
  • 项目类别:
    Standard Grant
Collaborative Research: The Seasonal Response of the Arctic and Global Climate System to Projected Sea Ice Loss within the Context of GHG-induced Climate Change
合作研究:在温室气体引起的气候变化背景下,北极和全球气候系统对预计海冰消失的季节响应
  • 批准号:
    0902065
  • 财政年份:
    2009
  • 资助金额:
    $ 69.04万
  • 项目类别:
    Standard Grant
Climate Response to Future Changes in Arctic Snow Cover and Sea Ice: A New Perspective from the High-Resolution NCAR CCSM3
气候对北极积雪和海冰未来变化的响应:高分辨率 NCAR CCSM3 的新视角
  • 批准号:
    0629300
  • 财政年份:
    2006
  • 资助金额:
    $ 69.04万
  • 项目类别:
    Standard Grant

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  • 批准号:
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  • 批准号:
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合作研究:在新型环流控制框架中评估大气不透明度和海冰对北极变暖的因果影响
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