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. With the increasing use of constellations of sensors and more and more observations being processed at the point of collection, this session explores the use of the Internet of Things to gather data and edge computing to process data. An example of this kind of technology is the Smart Great Lakes project (https://www.glos.us/smartgreatlakes/). Topics in this session might include: the deployment of IoT sensors for the collection of environmental data, techniques for processing data at the point of collection, integrating new data sources with existing data architectures, AI and the use of IoT sensors, the use of the cloud to gather and disseminate data, and information ecosystems based on smart technologies.
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.