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主要由自由漂移浮标收集的独特海洋拉格朗日观测数据。所开发的工具将利用现有的网络基础设施和既定的开放源代码和开放访问协议，以便使从高中生到统计专家等熟练程度的用户都能对海洋观测数据和数值型异质分布的地理空间数据进行分析。这可能有助于更公平地获取数据和计算资源，用于从海洋塑料运输到表面重力波对卫星海面温度校准的影响等广泛的具体和跨学科应用。由于与EarthCube和其他知名社区的合作，广泛而多样化的用户将能够访问这些笔记本电脑，这些笔记本电脑将绑定到部署在现有基础设施上的开放访问的基于云的可执行环境。DriftCloud项目将利用美国国家海洋和大气管理局全球漂流者计划的漂流浮标提供的与气候相关的海表海流、海表温度和海平面压力的拉格朗日数据作为工作框架，促进和加速拉格朗日数据集的制作和分析。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，以渲染拉格朗日数据集，为分析做好准备，并针对云计算环境进行优化。将开发另外一套开源工具，用于快速有效地可视化和分析任何拉格朗日数据。这两套软件工具的使用将通过使用开源python语言创建教学演示的python Notebooks来促进。该奖项反映了NSF的法定使命，并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，被认为值得支持。