Enhancing Weather and Climate Learning with Fluid Earth Viewer (FEVer)

流体地球查看器（FEVer），一个互动和视觉吸引力的网络应用程序，将允许用户可视化我们星球的大气和海洋的当前和过去的条件将通过这个奖项建立。这一免费的网络应用程序可供任何有互联网连接的人使用，将通过三次实地测试直接影响约2 000人，预计将在网上影响更多人。FEVer将是现有开源网络应用程序的扩展，PI将在用户界面中添加极地数据集，扩展选项，并在现有的“地球”应用程序中查看历史气候/天气数据。它将成为现代地球科学交流的工具，使科学界最常用的信息可以访问并吸引更广泛的社区。特别是，它将提供对极地地区的重要气候作用，它们与低纬度地区的联系以及它们正在经历的变化的实际可视化。一个配套网站，FEVer-Ed，将提供背景，教育支持，并通过历史上有趣的大气和海洋事件画廊额外学习的机会。FEVer将作为一个数据集的门户，否则研究界以外的受众无法访问这些数据集。虽然本提案中包含了一些大型数据集，（区域和全球业务天气模型/再分析），该平台是可扩展的，包括其他数据，如冰盖和冰川动力学。该项目部分由推进非正式STEM学习（AISL）计划资助，该计划旨在推进新的方法，并以证据为基础的理解，在非正式环境中设计和开发STEM学习。这包括提供多种途径，以扩大获得和参与STEM学习经验，推进非正式环境中STEM学习的创新研究和评估，以及发展参与者对深入学习的理解。

The Fluid Earth Viewer (FEVer), an interactive and visually appealing web application that will allow users to visualize current and past conditions of our planet's atmosphere and oceans will be built via this award. This free web application, available to anyone with an internet connection, will directly impact approximately 2,000 individuals in-person through three field tests and is expected to reach many more online. FEVer will be an extension of an existing open-source web application, and the PIs will add polar data sets, extended options in the user interface, and the ability to view historical climate/weather data to the existing "earth" app. It will be a vehicle of modern Earth science communication, making information most often used by the scientific community accessible and engaging to broader communities. In particular, it will provide hands-on visualization of the important climatic role of the polar-regions, their connections to lower latitudes, and the changes they are undergoing. A companion website, FEVer-Ed, will provide background, educational support, and opportunities for additional learning through a gallery of historically interesting atmospheric and oceanic events. FEVer will serve as a gateway to data sets that have otherwise been inaccessible to audiences outside of the research community. While a number of large data sets are included in this proposal (regional and global operational weather models/reanalyses), the platform is scalable to include other data such as ice sheet and glacier dynamics.This project is partially funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.