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: 2303654
• 负责人: Andrea Smith
• 金额: $ 32.7万
• 依托单位: University Corporation For Atmospheric Res
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2028-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2303654&HistoricalAwards=false
• 关键词: Collaborative; Research; Enhancing; Radar; Meteorology

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.

创建一个免费的在线，大学气象学的课程。但是，在出现响应中，sutituationse ch作为龙卷风和山洪泛滥。在决策中，至关重要的是，所有最终的天气雷达数据都可以访问高质量的教学材料，以解释物理含义，准确的解释和雷达产品的局限性。教科书。此外，Willporate Multimedia图形和虚拟现实（VR）效果图，使用户可以对大气过程和属性进行雷达，并可以使多媒体访问多元化。和天气雷达数据的局限大气的Omet的气象教育（Meted）网站将准备气象学专业的学生以及公众了解和苹果偏光型产品。这些课程将涵盖偏光式电磁散射，信号处理，天气雷达的物理学解释和WATHER雷达ATS数据的实际应用。 -88d），普渡大学的D天气雷达（XTRRA），以及来自国家大气科学中心的实验/现场数据，实验室的档案馆构成了THESET的寿命。教学将基于科学内容的互动，多媒体，多媒体和编程演示。 - 课程，完成率和访问指标（由Comet收集的自动化）将审查课程。该奖项反映了NSF的nsflects nsf'sflects nsf'sflects，并被认为是值得通过基金会的知识分子和更广泛的影响来获得支持的。审查标准。