About Argovis

Intro

Argovis is a REST API and web application for searching, downloading, co-locating and visualizing oceanographic data, including Argo array data, ship-based profile data, data from the Global Drifter Program, tropical cyclone data, and several gridded products. Our API is meant to be integrated into living documents like Jupyter notebooks and analyses intended to update their consumption of Argo data in near-real-time, and our web frontend is intended to make it easy for students and educators to explore data about Earth's oceans at will.

The landing page of Argovis shows colocated data. For access to individual products (point or gridded data), see the "Explore" menu, e.g. the Argo profile page is here.

News & events

User guide

More educational resources for using Argovis are planned for the near future. For now, Python users can see our collection of Jupyter notebooks for examples on how to consume our API; for a language agnostic introduction, see this document. Complete API docs are always up to date via Swagger. Try exploring our web app in Firefox or any webkit browser (Chrome, Safari, Brave) on your laptop / desktop, or in Chrome or Safari on your mobile device.

The Argovis team

Donata Giglio is an Assistant Professor in the Department of Atmospheric and Ocean Science at University of Colorado Boulder and is the PI of the Argovis project. Her research interests are in large scale ocean-atmosphere dynamics, geophysical fluid dynamics, data science, accessibility and visualization.

Bill Katie-Anne Mills is a scientific software developer based in Brooklyn, NY. They started their career by developing novel reconstruction algorithms in high energy particle physics for the ATLAS experiment at the LHC, and developed web apps for the nuclear structure community for years before heading to the private sector to teach organizations how to design and operate software at scale using Docker and Kubernetes. They are currently working in Prof. Giglio's group at University of Colorado Boulder as the lead engineer on Argovis.

Megan Scanderbeg is the Argo Program Science Coordinator and the Argo Data Management Team Co-chair. She works at Scripps Institution of Oceanography and is interested in making oceanographic data freely available and understandable for all.

Tyler Tucker lives and works (and plays) on the Big Island of Hawaii. He is currently a scientific software engineer at the W. M. Keck Observatory on the Big Island. In 2019-2020, he worked as a Research Assistant in Professor Giglio's group at University of Colorado Boulder. Tyler started developing Argovis as part of a Master's thesis entitled "Mathematics and big data technology development to visualize, deliver and analyze IMS and Argo data," defended in May 2018 at San Diego State University. The Argovis project started in 2017 when Tyler was an Applied Mathematics MS student at the Climate Informatics Lab, San Diego State University, supervised by Professor Samuel Shen, and working in collaboration with Donata Giglio and Megan Scanderbeg.

Collaborators

  • NSF project award #2026954 to include GO-SHIP data in Argovis: Dr. Sarah Purkey, Steve Diggs, Lynne Merchant, Andrew Barna.
  • NOAA project award #NA21OAR4310261 to produce a new Argo gridded product with uncertainties and include it in Argovis: Dr. Mikael Kuusela.
  • Others, current and past: Sam Shen, Gui Castelao, Matt Mazloff, Aneesh Subramanian, Lynne Talley, Julien Pierret, Shane Elipot, Philippe Miron.

How to cite

See the Citations page for instructions on how to cite Argovis and its upstream datasets.

Acknowledgements

Argovis is hosted on a server of the Department of Atmospheric and Oceanic Sciences (ATOC) at the University of Colorado Boulder. Currently, Argovis is funded by the NSF Earthcube program (Award #2026954) and by the NSF Physical Oceanography, GEO Cyberinfrastructure, Polar Cyberinfrastructure, Software Institutes programs (Award #2311919).

In the past, Argovis has been funded by (starting with the most recent):

  • NSF Earthcube program (Award #1928305)
  • Giglio's research funds provided by University of Colorado Boulder
  • the SOCCOM Project through grant number NSF PLR-1425989
  • the US Argo Program through NOAA Grant NA15OAR4320071 (CIMEC) the National Oceanic and Atmospheric Administration – Cooperative Science Center for Earth System Sciences and Remote Sensing Technologies (NOAA-CREST) under the Cooperative Agreement Grant \#: NA16SEC4810008
  • the U.S. NOAA Cooperative Institute for Climate Science (Award No. 13342-Z7812001)
  • The City College of New York, NOAA-CREST program and NOAA Office of Education, Educational Partnership Program which provided full fellowship support to Tyler Tucker at San Diego State University

The initial development of Argovis referenced the codes and ideas of the 4-Dimensional Visual Delivery (4DVD) technology developed at the Climate Informatics Lab, San Diego State University. The computer code for 4DVD is at https://github.com/dafrenchyman/4dvd, and is available for download under the GNU General Public License open source license. All applicable restrictions, disclaimers of warranties, and limitations of liability in the GNU General Public License also applies to uses of 4DVD on this website.

Contact us

Please contact us with any questions or issues with Argovis.

argovis@colorado.edu

Donata Giglio, University of Colorado Boulder

donata.giglio@colorado.edu

Katie Mills, University of Colorado Boulder

Katie.Mills@colorado.edu

Megan Scanderbeg, Scripps Institution of Oceanography

mscanderbeg@ucsd.edu