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Real Examples of Classic Storm Structures for Classroom Use Based on Data from FRONT-PORCH

Real Examples of Classic Storm Structures for Classroom Use Based on Data from FRONT-PORCH
基于 FRONT-PORCH 数据的课堂经典风暴结构的真实示例
批准号:
1303025
负责人:
Sandra Yuter
金额:
$9.25万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-03-01 至 2017-02-28

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中文摘要
翻译
概述:概念模型图经常用于本科生和研究生的大气科学课程,因为它们允许学生可视化复杂风暴系统的动态交织部分。这些模型是对支配系统的关系的可视化简化,在课堂上使用它们已被证明显著改善了学生的学习。尽管传统的概念模型具有公认的重要性,但它们往往是动态系统的静态表示,往往难以再现真实风暴的复杂和嘈杂的现实。研究表明,当学生能够将概念模型与真实数据进行比较和对比,并找出简化模型中的弱点时,概念模型的教育价值就会最大化。该建议旨在利用前廊实验期间收集的观测数据,开发一系列常见观测到的风暴结构的案例研究。三维风场的高分辨率双多普勒重建、双极化水流星识别以及地面和高空气象观测将结合在一起并并排展示,以完整地展示风暴结构的真实例子,可以与常用的概念模式进行比较和对比。这些例子将被存放在一个案例研究图书馆的网络上,全国各地的学生可以在那里选择不同的风暴类型,并在一部他们可以控制回放的电影中观看风暴的演变。此外,还将编写一系列使用案例研究库的实验室练习,以加快将这些数据带入课堂,从而提高气象学课程的有效性,而不需要个别教师付出大量额外努力。智力优势:大气科学方面的教育倡议传统上落后于其他物理和地球科学教学的进展数年。该项目将是大气科学中首批开发广泛可用的教育资源的项目之一,该资源主要依赖于野外实验期间收集的观测数据。广泛的影响:随着课堂从以讲授为基础的、以教授为中心的被动学习方式转变为学生积极参与知识建构的方式,科学、技术、工程和数学(STEM)教育正在进行广泛的基层改革。这些变化背后的推动力是一系列新的研究,这些研究不断证明,以讲座为基础的教学不如结合主动学习的教学方式有效。这个永久性的案例研究库将允许全国各地的学生除了检查气象学教科书中常见的传统静态概念模型外,还可以检查真实数据。实验练习要求学生积极探索数据,并在得到答案之前就风暴的运作方式得出自己的结论。通过将真实数据与概念模型进行比较和对比,学生将对复杂的风暴结构有更深刻和更完整的理解。此外,可以轻松实施的预先打包的练习将便于我们的学术同行使用此资源和其他教育资源
英文摘要
Overview:Conceptual model diagrams are frequently used in undergraduate and graduate atmospheric science courses because they allow students to visualize the dynamic interwoven pieces of complex storm systems. These models are visual simplifications of the relationships that govern the system and the use of them in the classroom has been shown to significantly improve student learning. Despite their recognized importance, traditional conceptual models are most often static representations of dynamic systems and often struggle to reproduce the complex and noisy reality of authentic storms. Studies have shown that the educational value of conceptual models is maximized when students are able to compare and contrast the model with real data and identify weaknesses in the simplified model.This proposal seeks to develop a series of case study examples of commonly observed storm structures using observational data collected during the FRONT-PORCH experiment. High resolution dual-Doppler reconstructions of the three-dimensional wind field, dual-polarization hydrometeor identification, and surface and upper-air meteorology observations will be combined and displayed side by side to give a complete view of a real example of storm structure that can be compared and contrasted with commonly used conceptual models. These examples will be housed on the web in a case study library where students across the country can choose among different storm types and view the evolution of the storms in a movie whose playback they can control. Additionally, a series of laboratory exercises using the case study library will be written to accelerate bringing this data into classrooms and thus enhance the effectiveness of meteorology courses without significant additional effort on the part of individual instructors.Intellectual Merit:Educational initiatives in the atmospheric sciences have traditionally lagged several years behind advancements in the teaching of other physical and geosciences. This project will be one of the first in the atmospheric sciences to develop a widely available educational resource that relies primarily on observational data collected during a field experiment.Broader Impacts:A broad grassroots reformation is underway in Science, Technology, Engineering, and Mathematics (STEM) education as classes shift from a lecture based, professor centric, passive learning approach into one in which students are actively engaged in the construction of their knowledge. The driving force behind these changes is the litany of new studies that consistently demonstrate that lecture based instruction is not as effective as a style that incorporates active learning. The permanent case study library will allow students across the country to examine real data alongside the traditional static conceptual models that are common in meteorology textbooks. The lab exercises involve the students in actively exploring the data and coming to their own conclusions about the way a storm works before being given the answer. By comparing and contrasting real data with conceptual models students will gain a deeper and more complete understanding of complex storm structures. Additionally, pre-packaged exercises that can be easily implemented will facilitate use of this and other educational resources by our academic colleague
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Collaborative Research: Extensive Field Observations and Modeling to Understand Multi-band Precipitation Processes within Winter Storms
  • 批准号:
    1905736
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $40.44万
  • 财政年份:
    2019
  • 负责人:
    Sandra Yuter
  • 依托单位:
Collaborative Research: Mechanisms Governing Synoptic-scale, Rapid Cloud Dissipation in Subtropical Marine Low Clouds
  • 批准号:
    1656314
  • 项目类别:
    Standard Grant
  • 资助金额:
    $46.02万
  • 财政年份:
    2017
  • 负责人:
    Sandra Yuter
  • 依托单位:
Collaborative Research: Observations and Modeling of Mesoscale Precipitation Banding in Cool-season Storms
  • 批准号:
    1347491
  • 项目类别:
    Standard Grant
  • 资助金额:
    $46.23万
  • 财政年份:
    2014
  • 负责人:
    Sandra Yuter
  • 依托单位:
Collaborative Research: The Wasatch Hydrometeor Aggregation and Riming Experiment
  • 批准号:
    1127759
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $12.95万
  • 财政年份:
    2011
  • 负责人:
    Sandra Yuter
  • 依托单位:
海外基金