EarthCube Capabilities: CloudDrift: a platform for accelerating research with Lagrangian climate data

EarthCube 功能：CloudDrift：利用拉格朗日气候数据加速研究的平台

• 批准号: 2126413
• 负责人: Shane Elipot
• 金额: $ 47.69万
• 依托单位: University of Miami
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2126413&HistoricalAwards=false
• 关键词: EarthCube; Capabilities; CloudDrift; platform; accelerating

The DriftCloud project aims at propelling forward the discovery and use of unique oceanic Lagrangian observational data principally gathered by freely drifting buoys. The tools developed will utilize existing cyberinfrastructures and established open source and open access protocols in order to bring analyses of ocean observational and numerical heterogeneously distributed geospatial data at the fingertips of users with level of proficiency ranging from high school students to statistical experts. This will potentially contribute to more equitable access to data and computing resources for a broad spectrum of specific and interdisciplinary applications ranging from marine plastics transport to the impact of surface gravity waves on satellite sea surface temperature calibrations. A wide and diverse set of users will be able to access these notebooks which will be bound to openly-accessible cloud-based executable environments deployed on existing infrastructures thanks to collaborations with the EarthCube and other cognizant communities. This project will support an early-career scientist.The DriftCloud project will facilitate and accelerate the production and analysis of Lagrangian datasets by using the climate relevant Lagrangian data of sea surface current, sea surface temperature, and sea level pressure from the drifting buoys of the National Oceanic and Atmospheric Administration’s Global Drifter Program as a working framework. The project will generate new add-on datasets and a suite of modular and open source conversion tools to render Lagrangian datasets ready for analyses and optimized for cloud computing environments. An additional suite of open source tools will be developed for rapid and efficient visualizations and analyses of any Lagrangian data. The utilization of both suites of software tools will be fostered by creating pedagogical demonstration Jupyter Notebooks using the open source python language.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.

DriftCloud项目旨在推动发现和使用独特的海洋Lagrangian观察数据，主要由自由漂移浮标收集。开发的工具将利用现有的网络基础设施，并建立了开源和开放访问协议，以便在用户的指尖分析海洋观察和数值异质分布的地理空间数据，其水平从高中生到统计专家到统计专家。这将有可能有助于更公平地访问数据和计算资源，从而为广泛的特定和跨学科应用，从海洋塑料运输到表面重力波对卫星海表温度校准的影响。一组广泛的潜水用户将能够访问这些笔记本电脑，这些笔记本将与现有基础架构上的基于公开访问的基于云的可执行性环境，这要归功于与EarthCube和其他认知社区的合作。该项目将支持早期的科学家。DriftCloud项目将支持早期的职业科学家。DriftCloud项目将通过使用气候相关的Lagrangian数据数据集的生产和分析，从而支持和分析Lagrangian数据集的生产和分析。海面电流，海面温度，海平面温度以及来自国家海洋和大气层政府全球Drifter计划的驱动力的海平面压力。该项目将生成新的附加数据集和一套模块化和开源转换工具，以渲染lagrangian数据集准备进行分析并为云计算环境进行了优化。将开发一套开源工具的额外套件，以快速有效的可视化和分析任何拉格朗日数据。通过使用开源Python语言创建教学演示的Jupyter笔记本，可以培养两种软件工具的套件。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子优点和更广泛的影响标准来评估NSF的法定任务。