Description:

The surface transportation system is impacted significantly by weather, from public safety and maintenance costs to lost productivity and commerce. In addition, new weather-related solution and support requirements are being established as the transportation industry is experiencing rapid modernization through the development of technologies in automated vehicles, connected vehicles, decision support systems, data sharing, communication, and cloud computing. This session is focused on the impacts of weather and climate hazards on the safe, reliable, and efficient operation of surface transportation networks and infrastructure. Moreover, it is imperative to understand the needs of various communities ranging from the general public, supply chain management, transportation agencies, forecasters, and beyond in addressing these impacts. Once these needs are better understood, then a path to stronger engagement can occur, and more effective and efficient solutions can be deployed to minimize the adverse impacts of weather on the surface transportation system.

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Earth and atmospheric science data is increasingly heterogeneous in nature. Data is collected from a variety of sensors at varying levels of complexity and volume. As the open data effort continues to gain momentum, scientists and data archives are increasingly being asked to share data and to make it FAIR. However, making data consistently open and FAIR can be a challenge for heterogeneous, long-tail data.  The intent of this session is to provide a forum for discussing data stewardship and management best practices for heterogeneous Earth and atmospheric science data. This session seeks submissions that highlight efforts to develop flexible data management plans; to more accurately describe data via metadata and data formats; to more consistently and thoroughly document data methods and quality; and to make data more openly accessible and discoverable. Papers describing unique solutions to data stewardship needs or summarizing lessons learned from data stewardship activities will be prioritized.