We have a session open at the American Meteorological Society Annual Meeting, to take place in Denver, CO, Jan 8-12, 2023. We would invite any submissions!
Session Topic ID: 62154
Session Topic Title: FAIR and Open Data and Software within the Atmospheric and Ocean Sciences to Support Transparent, Reusable and Efficient Research and Operations
Conference: 39th Conference on Environmental Information Processing Technologies (Joint with 26th Conference of Atmospheric Librarians International, the 22nd Conference on Artificial Intelligence for Environmental Science, the 13th Symposium on Advances in Modeling and Analysis Using Python, the 13th Conference on Transition of Research to Operations*,* and the Committee on Open Environmental Information Services)
The deadline for all submissions is Wednesday, 24 August 11:59pm (Eastern).
Visit the AMS 103rd Annual Meeting website for the most up-to-date information about the meeting.
Session Title: FAIR and Open Data and Software within the Atmospheric and Ocean Sciences to Support Transparent, Reusable and Efficient Research and Operations
Session Description: The need to understand linkages between climatic extremes and security outcomes such as displacement/migration, public health, and food/electricity production has never been higher. Analysis of these linkages requires integration of the Earth, social, economic, and political sciences as well as equitable access to community datasets, data proximate compute, community developed data analysis workflows and open source software tools. In this session, we invite submissions that discuss research, applications and initiatives that build upon the principles of FAIR (Findable, Accessible, Interoperable, and Reusable) Open Data and Software within the atmospheric and related sciences to drive new discoveries. We welcome technical, policy, and community-focused submissions on a range of topics related to facilitating transparency of science and leveraging community supported open science capabilities to drive research and operational outcomes. Examples include:
- Research, operations and industry uses that employ a combination of public cloud compute, cloud hosted datasets such as those provided through NOAA’s Open Data Dissemination Program, and open source data analysis tools and workflows.
2.Solutions for data and software discoverability, metadata creation and management, provenance tracking, and other relevant topics.
Platforms for reproducible research and reusable tools will accelerate the analytics enterprise and build the salience, credibility, and legitimacy required to effectively inform policy. This session will highlight emerging open-science tools and platforms for weather and climate-security analysis.