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

流体地球查看器(FEVER)是一个交互式的、视觉上有吸引力的网络应用程序，它将允许用户可视化我们星球大气和海洋的当前和过去的状况。这款免费的网络应用程序对任何有互联网连接的人都可用，它将通过三次现场测试直接影响大约2000人，并有望接触到更多的人在线。FEVER将是现有开源Web应用程序的扩展，PI将添加极地数据集、用户界面中的扩展选项以及在现有的“地球”应用程序中查看历史气候/天气数据的能力。它将成为现代地球科学传播的工具，使科学界最常使用的信息可供获取，并使更广泛的社区参与其中。特别是，它将提供极地地区重要的气候作用、它们与低纬地区的联系以及它们正在经历的变化的实际可视化。一个配套的网站FEVER-ED将提供背景、教育支持，并通过一个历史上有趣的大气和海洋事件图库提供额外学习的机会。FEVER将成为通往数据集的门户，否则研究社区以外的受众将无法访问这些数据集。虽然该提案包含了许多大型数据集(区域和全球业务天气模式/再分析)，但该平台可以扩展到包括其他数据，如冰盖和冰川动态。该项目的部分资金来自推进非正式STEM学习(AISL)计划，该计划旨在促进对非正式环境中STEM学习的设计和开发的新方法和基于证据的理解。这包括为扩大获得和参与STEM学习经验提供多种途径，推进对非正式环境中STEM学习的创新研究和评估，以及加深参与者对更深层次学习的理解。

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.