Tucker, T., D. Giglio, M. Scanderbeg, and S.S.P. Shen: Argovis: A Web Application for Fast Delivery, Visualization, and Analysis of Argo Data. J. Atmos. Oceanic Technol., 37, 401–416, https://doi.org/10.1175/JTECH-D-19-0041.1
Abstract
Argovis provides a representation of the profiles collected over the lifetime of the Argo program. This representation is intended to present an interpretation of Argo data that is slightly simplified from the original product, but still appropriate for a large majority of scientific and educational use cases. Simplifications include presenting delayed (better corrected and QCed) mode data where available; presenting interpolated biogeochemical data only; and merging core and biogeochemical data collected in parallel into unified oceanic profiles. For an introduction to using the Argovis API to access Argo data see https://argovis.colorado.edu/argourlhelper. If using Python, please also see https://github.com/argovis/demo_notebooks/blob/main/Intro_to_Argovis.ipynb. Argo data in Argovis can be integrated (via the Argovis API) into living documents like Jupyter notebooks and analyses intended to update their consumption of Argo data in near-real-time, and our web frontend (https://argovis.colorado.edu/argo) is intended to make it easy for students and educators to explore Argo data at will. Finally, Argovis API also makes it easy to co-locate Argo profiles with other datasets.