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Collaborative Research: Enhancing Radar Meteorology Instruction with an Open, Flexible, Online Course

Collaborative Research: Enhancing Radar Meteorology Instruction with an Open, Flexible, Online Course
合作研究:通过开放、灵活的在线课程加强雷达气象学教学
批准号:
2303653
负责人:
Robin Tanamachi
金额:
$43.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-01 至 2028-08-31

项目摘要

项目成果

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中文摘要
翻译
一个免费的,在线的,可定制的,大学水平的雷达气象学课程将创建此奖项。该项目旨在教育公众,专业合作伙伴和学生关于天气雷达的使用,应用和局限性。来自公共和私人气象雷达的数据正在用于地方,区域和国家层面的日常决策,包括龙卷风和山洪暴发等紧急响应情况。然而,并非所有的天气雷达都具有相同的属性、能力或数据质量。如果天气雷达数据使用不当,可能会危及公共安全。为了优化雷达在决策中的使用,天气雷达数据的所有最终用户都必须获得高质量的教学材料,解释雷达产品的物理意义,准确解释和局限性。如果不能获得这种开放的教育材料,雷达气象学教育的质量将仍然不平衡,使那些可能无法获得昂贵的软件和教科书的学习者感到沮丧。雷达气象学课程将作为一系列课程在彗星气象学教育(MetEd)网站上发布,该网站已经提供了数百个免费的大气科学和地球科学课程。雷达气象学课程的设计将满足不同需求和能力水平的不同用户的需求,但也足够全面和详细,以纳入大学水平的教学。此外,这些课程将结合多媒体图形和虚拟现实(VR)渲染,使用户能够将雷达感应到的变量与大气过程和属性联系起来。所有媒体资产都将开放下载和重复使用。这种在线多媒体方法将使雷达气象学教育广泛地提供给不同的用户,增加公众对天气雷达数据的能力和局限性的了解,并告知决策者如何使用雷达。该项目与NSF支持教育并扩大多元化学习者对科学的参与的使命相一致。包括一系列的在线课程在本科水平,这个多媒体,互动课程将通过普渡大学和大学大气研究公司的彗星计划之间的合作创建。该课程将存在于彗星的气象教育(MetEd)网站,并将准备气象学学生,专业合作伙伴和公众了解和应用偏振天气雷达产品,以及新的雷达系统架构(如相控阵雷达),他们可能会在未来遇到。课程将涵盖的主题包括极化电磁散射,信号处理,天气雷达变量的物理解释,以及天气雷达及其数据的实际应用等主题。案例研究画廊将包括各种天气雷达观测许多大气现象的例子。该图库将包括来自国家气象局业务雷达(WSR-88 D),普渡大学X波段天气雷达(XTRRA)的示例,以及来自国家大气科学中心地球观测实验室档案的实验/现场数据,延长这些资产的寿命。此外,基于开源软件的示例将指导用户询问和分析天气雷达数据。在线课程将超越传统的基于教科书的雷达气象学教学风格,包括互动,多媒体和编程演示。将在COMET的正式设计和开发过程之后总结经验教训。COMET将根据科学内容和调查结果确定相关的学习成果和目标,并选择有效的教学方法和设计范式。通过使用课程前和课程后评估、完成率和访问指标(由COMET自动收集)来评估这些课程的有效性。 一个顾问委员会和学生用户测试参与者将审查教训。这个奖项反映了NSF的法定使命,并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。
英文摘要
A free, online, customizable, college-level course in Radar Meteorology will be created with this award. This project aims to educate the general public, professional partners, and students about the uses, applications, and limitations of weather radars. Data from public and private weather radars are being used in everyday decision making at local, regional, and national levels, including in emergency response situations such as tornadoes and flash floods. However, not all weather radars have the same attributes, capabilities, or data quality. If weather radar data is used inappropriately, it can potentially jeopardize public safety. To optimize the use of radar in decision making, it is critical that all end users of weather radar data have access to high-quality instructional material explaining the physical meaning, accurate interpretation, and limitations of radar products. Absent access to such open educational materials, the quality of radar meteorology education will remain uneven, disadvantaging those learners who may not have access to expensive software and textbooks. The Radar Meteorology course will be published as a series of lessons on the COMET Meteorology Education (MetEd) web site, which already hosts hundreds of free atmospheric science and geoscience lessons. The radar meteorology lessons will be designed to meet the needs of diverse users with different needs and ability levels, but also comprehensive and detailed enough to incorporate into university-level instruction. Additionally, the lessons will incorporate multimedia graphics and virtual reality (VR) renderings, allowing users to connect radar-sensed variables to atmospheric processes and properties. All media assets will be openly downloadable and reusable. This online, multimedia approach will make radar meteorology education broadly accessible to diverse users, increase public knowledge about the capabilities and limitations of weather radar data, and inform decision makers in the use of radar. This project aligns with NSF’s missions to support education and broaden participation in science to diverse learners. Comprising a series of online lessons at the undergraduate level, this multimedia, interactive course will be created through a collaboration between Purdue University and the University Corporation for Atmospheric Research's COMET program. The course will exist on COMET’s Meteorology Education (MetEd) website and will prepare meteorology students, professional partners, and the general public to understand and apply polarimetric weather radar products, as well as novel radar system architectures (such as phased array radar) that they are likely to encounter in the future. The lessons will cover topics including polarimetric electromagnetic scattering, signal processing, physical interpretation of weather radar variables, and real-world applications of weather radar and its data, among other topics. A case study gallery will include examples from a variety of weather radars observing many atmospheric phenomena. This gallery will include examples from the National Weather Service operational radars (WSR-88D), Purdue University’s X-band weather radar (XTRRA), and experimental/field data from the National Center for Atmospheric Science’s Earth Observing Laboratory’s archive, extending the longevity of these assets. Additionally, open-source software-based examples will instruct users on the interrogation and analysis of weather radar data. The online course will expand beyond the traditional textbook-based style of teaching radar meteorology to include interactive, multimedia, and programming demonstrations. Lessons will be developed following COMET's formal design and development process. COMET will define relevant learning outcomes and objectives based on the science content and survey results and choose an effective instructional approach and design paradigm. The effectiveness of these lessons through the use of pre- and post-course assessments, completion rates, and access metrics (automatically collected by COMET). An advisory board and student user testing participants will review lessons.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.
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会议论文
Collaborative Research: Polarimetric Tornado Precursor Signatures
  • 批准号:
    1741003
  • 项目类别:
    Standard Grant
  • 资助金额:
    $59.28万
  • 财政年份:
    2017
  • 负责人:
    Robin Tanamachi
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
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  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
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