After a storm, transportation agencies need to conduct after-action studies and prepare after-action reports. To do this, data from numerous sources needs to be accessed, collected, and analyzed. These data may be difficult to access and use for a number of reasons. They may not be easy to find, or it may be difficult to parse readily available data. Some kinds of data may also be difficult to export, particularly video of radar or forecast maps.
The goal of this project is to allow transportation agencies to more quickly and easily reconstruct winter weather events, with a focus on drawing from data sources that cover the entire United States or large regions.
This project should identify easily usable data sources and develop a user-friendly data retrieval interface. The project outcome should let agencies spend much less time finding and preparing data and allow them move quickly to analysis and follow up. This will help agencies better understand the development and outcomes of such events, react appropriately to such events in the short and long term, and refine future maintenance decision-making.