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CAREER: Causal Connections Between the Arctic and Mid-latitudes

CAREER: Causal Connections Between the Arctic and Mid-latitudes
职业:北极与中纬度地区之间的因果关系
批准号:
1749261
负责人:
Elizabeth Barnes
金额:
$86.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-08-01 至 2024-07-31

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中文摘要
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英文摘要
The accelerated warming of the Arctic and unprecedented loss of sea ice in recent years have spurred a flurry of research and public interest on how these changes at high latitudes may impact weather at lower latitudes. There is much disagreement on whether we have already witnessed substantial impacts. The focal point of these debates is the question "who-is-causing-who", as changes in high latitudes take place at the same era as those in other latitudes, including mid-latitudes. The question how to infer the causality from data (observations and model outputs) is one of the most outstanding issues that the climate science community needs to resolve urgently. Here, the PI plans to apply causal discovery techniques, a unique type of statistical and data analysis, to the question of causal connections between the Arctic and mid-latitude circulation. These tools will provide insight into the causal pathways connecting Arctic temperatures to mid-latitude weather, quantify the ability of state-of-the-art climate models to simulate these pathways, and assess how these pathways may change in the coming decades. The funded research will advance our understanding of the two-way links between the Arctic and mid-latitude weather, which in turn, can lead to improvements in short-term weather forecasts as well as improvements in predictions of weather/climate variability in the coming decades. In addition, this project will include the development of an online "gateway" of accessible explanations of data analysis techniques with accompanying atmospheric-science-motivated examples for atmospheric scientists: the Data Analysis Tools for Atmospheric Scientists (DATAS) Gateway. The recent explosion of climate data and increasing complexity of earth-system models requires that now, more than ever, atmospheric scientists be equipped with the necessary skills to make novel and robust discoveries. A joint community effort is planned for creating, testing, and disseminating the DATAS Gateway material. These community coordinated research/education activities include peer contributions and review, graduate student workshops, statistical and gateway-developer consultants, and integration into current and planned curricula across seven universities. The DATAS Gateway will not only be a resource for scientists across the globe, but will also allow for the sharing of ideas and tools, spur scientific breakthroughs and support five undergraduate researchers. A sustainability plan will be developed to transition the DATAS Gateway to a community-driven effort to ensure that it outlives the 5-year horizon of this CAREER grant. The project as a whole will additionally support a graduate student and individuals under-represented in STEM by supporting the efforts of six female faculty (the PI and five collaborators).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(13)
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会议论文
DOI: 10.1029/2022gl098635
发表时间: 2022-08
期刊: Geophysical Research Letters
影响因子: 5.2
作者: [Emily M. Gordon;E. Barnes]
通讯作者: Emily M. Gordon;E. Barnes
Identifying Opportunities for Skillful Weather Prediction with Interpretable Neural Networks
利用可解释的神经网络识别熟练天气预报的机会
DOI: --
发表时间: 2020
期刊: NeurIPS AI4EARTH 2020
影响因子: --
作者: [Barnes, Elizabeth A.]
通讯作者: Barnes, Elizabeth A.
DOI: 10.1029/2020gl091168
发表时间: 2020-10
期刊: Geophysical Research Letters
影响因子: 5.2
作者: [S. Samarasinghe;Charlotte Connolly;E. Barnes;I. Ebert‐Uphoff;Lantao Sun]
通讯作者: S. Samarasinghe;Charlotte Connolly;E. Barnes;I. Ebert‐Uphoff;Lantao Sun
DOI: 10.1029/2021gl093842
发表时间: 2021-06
期刊: Geophysical Research Letters
影响因子: 5.2
作者: [B. Toms;E. Barnes;J. Hurrell]
通讯作者: B. Toms;E. Barnes;J. Hurrell
13
    State-dependent decadal predictability identified with explainable machine learning
    • 批准号:
      2210068
    • 项目类别:
      Standard Grant
    • 资助金额:
      $70.0万
    • 财政年份:
      2022
    • 负责人:
      Elizabeth Barnes
    • 依托单位:
    Seasonal Sensitivity of the Midlatitude Circulation to Future Climate Warming
    • 批准号:
      1545675
    • 项目类别:
      Standard Grant
    • 资助金额:
      $59.97万
    • 财政年份:
      2016
    • 负责人:
      Elizabeth Barnes
    • 依托单位:
    Variability of Midlatitude Transport and Mixing In a Warmer World
    • 批准号:
      1419818
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $34.99万
    • 财政年份:
      2014
    • 负责人:
      Elizabeth Barnes
    • 依托单位:
    海外基金