AMS Session Seeking Abstracts: Impactful science leveraging data proximate compute, open data and open source software

Hello Colleagues,

Please consider submitting your work to our session on FAIR and Open Data and Software within the Atmospheric and Ocean Sciences to Support Transparent, Reusable and Efficient Research at the January 2023 AMS Annual Meeting! Abstract are due Aug 24.

https://ams.confex.com/ams/103ANNUAL/webprogrampreliminary/Session62154.html

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:

  1. 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.

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