Collaborative Research: Revisiting the Low-Frequency Variability of the Extratropical Circulation Using Non-Empirical Orthogonal Function (EOF) Modes and Linear Response Functions

合作研究:使用非经验正交函数 (EOF) 模式和线性响应函数重新审视温带环流的低频变化

基本信息

  • 批准号:
    1921413
  • 负责人:
  • 金额:
    $ 38.6万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-08-15 至 2023-07-31
  • 项目状态:
    已结题

项目摘要

One dominant pattern of the atmospheric circulation variability in the extratropical troposphere of both hemispheres is the oscillation between stronger and weaker westerly jet streams with a time scale longer than 10 days. Such low-frequency variability of extratropical westerly jet streams is called the annular mode. The annual mode influences the day-to-day weather and extreme events in the middle and high latitude regions and is therefore of great interest to understand. The annular mode in winter hemisphere also influences, and is influenced by, the stratospheric polar vortex. This project seeks a deeper understanding of the factors that control the annular mode. The outcome of this work will potentially transform the understanding of jet stream variability and weather in the middle and high latitudes. The outcome could also lead to advances in predictability past the current weather prediction barrier of about 10 days, and lead to improvements in capabilities of climate models. Furthermore, the new quantitative framework will aid the interpretation of the range of outcomes predicted by comprehensive climate models. These outcomes have the potential to advance the national and global efforts aimed at preparing for climate change and weather-related extremes, resulting in significant socio-economic benefits. This project will support the education and training of two PhD students and a postdoctoral researcher, thus preparing the next generation of atmospheric dynamists and climate scientists. Some of the tools developed during this work will be used by the PIs in their undergraduate and graduate-level teaching to help the students with visualizing and quantifying some aspects of the jet stream variability. Also, the project will engage K-12 students in climate and computer modeling-related research through several STEM outreach programs at Rice and Stanford.In this project, novel analysis methods will be developed, and will be employed along with computer models and observational data to gain a deeper understanding of this variability of the jet streams. Furthermore, a new framework will be developed to quantitively link this variability in the present day to variability in the future. This framework will integrate the response of the jet stream variability and polar vortex to various climate forcings, such as greenhouse gas increase or ozone depletion. The specific tasks of this project are 1) examining the coupling between the barotropic and baroclinic annular modes in observations and in climate models; 2) developing an eddy feedback model for propagating annular modes; 3) understanding stratospheric influence on the tropospheric annular mode in both hemispheres using numerical experiments; 4) studying low-frequency variability modes and fluctuation-dissipation relationship in climate model simulations to better evaluate the fidelity of the climate change projections in these simulations.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.
两半球温带外对流层大气环流变化的一个主要模式是时间尺度大于10天的强弱西风急流之间的振荡。这种温带西风急流的低频变化称为环状模式。这种年模式影响着中高纬度地区的日常天气和极端事件,因此了解它是非常有意义的。冬半球的环状模式也影响平流层极涡,并受其影响。该项目寻求对控制环状模式的因素有更深入的了解。这项工作的结果可能会改变人们对中、高纬度地区急流变化和天气的理解。这一结果还可能导致可预报性的进步,超过目前约10天的天气预报障碍,并导致气候模型能力的提高。此外,新的量化框架将有助于解释综合气候模型预测的结果范围。这些成果有可能推动旨在为应对气候变化和与天气有关的极端情况做准备的国家和全球努力,从而产生重大的社会经济效益。该项目将支持两名博士生和一名博士后研究员的教育和培训,从而培养下一代大气动力学家和气候科学家。在这项工作中开发的一些工具将被PIS用于其本科生和研究生水平的教学,以帮助学生可视化和量化急流可变性的某些方面。此外,该项目将通过莱斯和斯坦福的几个STEM扩展项目,让K-12年级的学生参与与气候和计算机模拟相关的研究。在这个项目中,将开发新的分析方法,并将与计算机模型和观测数据一起使用,以更深入地了解急流的这种可变性。此外,还将制定一个新的框架,将当前的这种可变性与未来的可变性量化地联系起来。该框架将综合急流变化和极地涡旋对各种气候强迫的响应,例如温室气体增加或臭氧消耗。该项目的具体任务是:1)在观测和气候模型中检验正压和斜压环模之间的耦合;2)开发传播环模的涡旋反馈模式;3)通过数值实验了解平流层对两个半球的对流层环模的影响;4)研究气候模型模拟中的低频变化模式和波动-耗散关系,以更好地评估气候变化预测在这些模拟中的逼真度。这一奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Effects of climate change on the movement of future landfalling Texas tropical cyclones
  • DOI:
    10.1038/s41467-020-17130-7
  • 发表时间:
    2020-07-03
  • 期刊:
  • 影响因子:
    16.6
  • 作者:
    Hassanzadeh, Pedram;Lee, Chia-Ying;Yeung, Laurence Y.
  • 通讯作者:
    Yeung, Laurence Y.
Eddy Length Scale Response to Static Stability Change in an Idealized Dry Atmosphere: A Linear Response Function Approach*
理想干燥大气中静态稳定性变化的涡流长度响应:线性响应函数方法*
  • DOI:
    10.1175/jas-d-21-0044.1
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    3.1
  • 作者:
    Chan, Pak Wah;Hassanzadeh, Pedram;Kuang, Zhiming
  • 通讯作者:
    Kuang, Zhiming
The 3D Structure of Northern Hemisphere Blocking Events: Climatology, Role of Moisture, and Response to Climate Change
北半球阻塞事件的 3D 结构:气候学、水分的作用以及对气候变化的响应
  • DOI:
    10.1175/jcli-d-21-0141.1
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    4.9
  • 作者:
    Nabizadeh, Ebrahim;Lubis, Sandro W.;Hassanzadeh, Pedram
  • 通讯作者:
    Hassanzadeh, Pedram
An Eddy–Zonal Flow Feedback Model for Propagating Annular Modes
用于传播环形模态的涡流分区流反馈模型
  • DOI:
    10.1175/jas-d-20-0214.1
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    3.1
  • 作者:
    Lubis, Sandro W.;Hassanzadeh, Pedram
  • 通讯作者:
    Hassanzadeh, Pedram
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Pedram Hassanzadeh其他文献

Stable ema posteriori/em LES of 2D turbulence using convolutional neural networks: Backscattering analysis and generalization to higher emRe/em via transfer learning
  • DOI:
    10.1016/j.jcp.2022.111090
  • 发表时间:
    2022-06-01
  • 期刊:
  • 影响因子:
    3.800
  • 作者:
    Yifei Guan;Ashesh Chattopadhyay;Adam Subel;Pedram Hassanzadeh
  • 通讯作者:
    Pedram Hassanzadeh
Machine learning for the physics of climate
用于气候物理学的机器学习
  • DOI:
    10.1038/s42254-024-00776-3
  • 发表时间:
    2024-11-11
  • 期刊:
  • 影响因子:
    39.500
  • 作者:
    Annalisa Bracco;Julien Brajard;Henk A. Dijkstra;Pedram Hassanzadeh;Christian Lessig;Claire Monteleoni
  • 通讯作者:
    Claire Monteleoni

Pedram Hassanzadeh的其他文献

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{{ truncateString('Pedram Hassanzadeh', 18)}}的其他基金

CAREER: Quantifying the Dynamics and Spatiotemporal Variability of Blocking Events Using Linear Response Functions and the Buckingham-Pi Theorem
职业:使用线性响应函数和 Buckingham-Pi 定理量化阻塞事件的动力学和时空变化
  • 批准号:
    2046309
  • 财政年份:
    2021
  • 资助金额:
    $ 38.6万
  • 项目类别:
    Standard Grant
Collaborative Research: Framework: Improving the Understanding and Representation of Atmospheric Gravity Waves using High-Resolution Observations and Machine Learning
合作研究:框架:利用高分辨率观测和机器学习提高对大气重力波的理解和表示
  • 批准号:
    2005123
  • 财政年份:
    2020
  • 资助金额:
    $ 38.6万
  • 项目类别:
    Standard Grant

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