Unidata Staff at AGU Fall 2023 Meeting
29 November 2023
The American Geophysical Union will be conducting a hybrid in-person and virtual conference for its 2023 Fall meeting, December 11-15 2023, with live events taking place in San Francisco, CA.
Unidata's parent organization UCAR will have a physical presence in the AGU exhibit hall this year, come visit at booth 807!
Several Unidata staff members will be presenting as part of the AGU Scientific Program; read on for a schedule of their talks and posters.
[Read More]Call for abstracts: CF and netCDF session at 2023 AGU Fall Meeting
30 June 2023
The American Geophysical Union's 2023 Fall Meeting in will be held 11-15 December 2023 in San Francisco, CA. This year's theme is “Wide. Open. Science.”
The organizers of session IN017: CF and NetCDF: 30 Years of Wide Open Science encourage you to consider submitting an abstract for this session.
[Read More]Abstract Deadlines for AMS, AGU Meetings
15 June 2023
The 104th American Meteorological Society Annual Meeting in will be held 28 January - 1 February 2024 in Baltimore, MD. This year's theme is “Living in a Changing Environment.” The submission deadline for abstracts is 24 August 2023.
The American Geophysical Union's 2023 Fall Meeting in will be held 11-15 December 2023 in San Francisco, CA. This year's theme is “Wide. Open. Science.” The submission deadline for abstracts is 2 August 2023.
[Read More]Unidata Staff at AGU Fall 2022 Meeting
28 November 2022
The American Geophysical Union will be conducting a hybrid in-person and virtual conference for its 2022 Fall meeting, December 12-16 2022, with live events taking place in Chicago, IL.
Several Unidata staff members will be presenting as part of the AGU Scientific Program; read on for a schedule of their talks and posters.
[Read More]20 July 2022
The 2022 AGU Fall Meeting will be held 12-16 December 2022 in Chicago, IL. This year the Education section will include a session that may be of special interest to Unidata community members: “ED013. Education and Workforce Development for Convergence and Data Sciences in the Era of Artificial Intelligence and Machine Learning.”
[Read More]
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