The Argo Online School: An e-learning tool to get started with Argo

The Argo Online School (AoS) is a collection of videos, animations and hands-on Python-driven Jupyter notebooks designed to make the data accessible from more than 4,000 profiling floats that constitute the Argo program. The Argo program samples, in near real-time, the upper 2,000 meters of the ocea...

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Detalles Bibliográficos
Autores: González-Santana, Alberto, Vélez-Belchí, Pedro
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/386802
Acceso en línea:http://hdl.handle.net/10261/386802
Access Level:acceso abierto
Palabra clave:Jupyter Notebooks
Oceanography
Operational oceanography
Observing systems
Robotics
Descripción
Sumario:The Argo Online School (AoS) is a collection of videos, animations and hands-on Python-driven Jupyter notebooks designed to make the data accessible from more than 4,000 profiling floats that constitute the Argo program. The Argo program samples, in near real-time, the upper 2,000 meters of the ocean using a fleet of floats that drift with the ocean currents. The AoS consists of 28 chapters about the Argo program and its data, organized into a total of 3 lessons and 2 self-assessment sections: • Lesson 1 is intended to introduce the basics of Argo, its objectives and key elements, such as the structure of the Argo floats and their operation in the open ocean. • Lesson 2 focuses on the data coming from the Argo network, from its organization to its accessibility. Data quality control is also addressed through its two main modes: Real-Time and Delayed-Mode. • Lesson 3 is the AoS hands-on component, and it requires basic knowledge of Python. It provides a set of instructions for preparing a Python environment in case the user wants to run the Python Jupyter Notebooks on a local machine. This environment already includes recommended packages. The walk-through of Lesson 3 shows how to work with the netCDF format, how to access and process Argo data, and create visualizations to enhance understanding of the information derived from Argo data. The target audience of the AoS is high school, undergraduate or early graduate students. The programming content in Lesson 3 offers an ideal opportunity to support students pursuing a technical or science curriculum. Lessons 1 and 2 form a closed module and can be used independently by learners who wish to focus solely on Argo. It is recommended not to skip any lesson in the AoS, as the content is carefully structured from simpler to more complex concepts, providing a progressive learning experience. Users have the opportunity to self-assess their learning progress through the proposed interactive self-assessments in the AoS. The AoS has been designed to be expanded in the future to follow the implementation of new features in the Argo program.