CAREER: Quantifying the Dynamics and Spatiotemporal Variability of Blocking Events Using Linear Response Functions and the Buckingham-Pi Theorem
CAREER: Quantifying the Dynamics and Spatiotemporal Variability of Blocking Events Using Linear Response Functions and the Buckingham-Pi Theorem
批准号:
2046309
负责人:
Pedram Hassanzadeh
金额:
$73.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-04-15 至 2026-03-31
中文摘要
大气阻塞事件描述了在温带外地区持续5天到几周的大范围、准静止的高压系统的发生。它的出现改变了急流的流向(改变了附近的天气),并可能导致热浪和干旱等极端事件。预测阻塞事件是困难的。我们对阻塞事件的理解很差,关于阻塞的完整理论仍然不存在。该项目的成果将提高我们对阻塞的认识,这将增强我们更好地预报中纬度极端天气和预测阻塞对气候变化的反应的能力。除了培养博士生,该项目还将开发(1)教师研究经验(RET)计划,以开发气候科学创新教材为重点;(2)为非地球科学量化专业的大学生提供气候科学方面的教育课程。具体地说,该计划旨在了解阻塞动力学及其时空变异性以及他们对气候变化的反应。研究的目的是:(1)评估正涡旋阻塞反馈机制在阻塞持续中的作用;(2)评估大尺度环流对阻塞特征的影响;(3)考察气候变化对阻塞的影响;(4)考察潜热在先前目标中的作用。从干湿两层准地转模式到干湿两层准地转模式到干湿理想大气环流模式,再到全耦合大气环流模式的大集合模拟,本研究方法创新地运用了线性响应函数理论、白金汉-皮尺度分析和小波分析。RET计划将为高中科学教师提供7个研究职位,他们将开发关于气候变化的入门课程。这些课程将通过研讨会和其他场所与100多名科学教师分享,并将教授给1000多名休斯顿公立学校的学生,其中许多来自代表性不足的群体。开发的课程将产生新的材料,将气候科学/研究介绍给更广泛的STEM学生,加强旨在培训气候科学未来熟练劳动力的努力。该奖项反映了NSF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。
英文摘要
An atmospheric blocking event describes the occurrence of a large-scale, quasi-stationary, high-pressure system that persists between 5 days to a few weeks in the extratropics. Its appearance diverts the jet stream flow (altering nearby weather) and can contribute to extreme events like heat waves and droughts. Predicting blocking events is difficult. Our understanding of blocking events is poor, and complete theory for blocking still does not exist. The outcome of this project will advance our knowledge of blocking, which will enhance our capabilities to better forecast midlatitude weather extremes and project the response of blocking to climate change. In addition to training doctoral students, the project will develop (1) a Research Experiences for Teachers (RET) program with workshops focused on developing innovative teaching materials on climate science, and (2) a course to educate college students from non-geoscience quantitative majors about climate science.Specifically, this proposal seeks to understand blocking dynamics and their spatiotemporal variability as well as their response to climate change. The research objectives are to: (1) assess the role of positive eddy-blocking feedback mechanism in blocking persistence, (2) evaluate the impact of large-scale circulation on blocking characteristics, (3) examine the impact of climate change to blocking, and (4) investigate the roles of latent heating in the previous objectives. The research approach includes an innovative use of the linear response function theory, Buckingham-pi scale analysis, and wavelet analysis in a hierarchy of models, from dry/moist two-layer quasi-geostrophic to dry/moist idealized general circulation models (GCMs) to large-ensemble simulations from fully coupled GCMs. The RET program will provide 7 research positions for high-school science teachers, who will develop introductory lessons on climate change. These lessons will be shared with 100s of science teachers through workshops and other venues and will be taught to 10000s of Houston public school students, many from the underrepresented groups. The developed class will result in novel materials for introducing climate science/research to a broad group of STEM students, strengthening efforts aimed at training a skilled future workforce in climate science.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(2)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1029/2022av000833
发表时间:
2023-05
期刊:
AGU Advances
影响因子:
8.4
作者:
[Sandro W. Lubis;P. Hassanzadeh]
通讯作者:
Sandro W. Lubis;P. Hassanzadeh
DOI:
10.1029/2022gl099401
发表时间:
2022-08
期刊:
Geophysical Research Letters
影响因子:
5.2
作者:
[Ebrahim Nabizadeh;Sandro W. Lubis;P. Hassanzadeh]
通讯作者:
Ebrahim Nabizadeh;Sandro W. Lubis;P. Hassanzadeh
Collaborative Research: Framework: Improving the Understanding and Representation of Atmospheric Gravity Waves using High-Resolution Observations and Machine Learning
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批准号:2005123
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项目类别:Standard Grant
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资助金额:$114.4万
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财政年份:2020
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负责人:Pedram Hassanzadeh
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依托单位:
Collaborative Research: Revisiting the Low-Frequency Variability of the Extratropical Circulation Using Non-Empirical Orthogonal Function (EOF) Modes and Linear Response Functions
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批准号:1921413
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项目类别:Standard Grant
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资助金额:$38.6万
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财政年份:2019
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负责人:Pedram Hassanzadeh
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依托单位:
海外基金