StormCaster incorporates several key technologies, and has inspired several more, including:

GIS – Geographic Information Systems provide a sense of place in software tools, immediately enhancing user experience and shallowing the learning curve for using complex tools. StormCaster uses Esri’s Silverlight SDK to incorporate mapping, and to make the map the literal background on which StormCaster users operate. Incorporating Esri’s street map services as the background further enhances the sense of place and allowed the StormCaster Development Team to quickly stand up the workbench on which the tool is built.esri_logo
A NetCDF GCM Results Web Service – An important input data requirement for StormCaster is GCM results. Luckily, StormCaster could build on the shoulders of another important project to get the data. The North Slope Decision Support System (NSDSS) was developed through a research grant from the U.S. Dept of Energy. This project – on which Atkins was co-principal investigator – was aimed at providing a decision support system for stakeholders of the oil exploration process on the North Slope of Alaska as they planned ice roads. A key outcome of the project was a GCM results web service, which serves precipitation and temperature projections from four GCMs focused on three of the GHG scenarios defined by the IPCC. The web service is based on the Observations Data Model (ODM) web service paradigm created by the Consortium of Universities for the Advancement of Hydrologic Sciences, INC (CUAHSI) – the key innovation being the replacement of database-stored weather observations with netCDF-stored GCM results files. In the NSDSS the web service is used by artificially intelligent helper programs that build climate-change aware water budget models for lakes on the North Slope. The StormCaster uses the GCM service to discover grid cells that overlie target forecast locations and as a source of monthly time-step data for the GCM results.nsdss_logo
A Nationwide NCDC Historical Rainfall Web Service – The Atkins team needed to build a new web service to provide a consistent source of quality controlled data, in regards to historical rainfall data. This service was developed to meet this need. Based on a stripped-down version of the CUASHI ODM data model, this service contains approximately 3,300 rain sites, some with more than 100 years of short time step rainfall data. Open to the public, the service provides a crucial building block for StormCaster and will be an important ingredient in for future tools.
MS Silverlight – Microsoft’s Silverlight browser plug-in provides a feature-rich environment in which to build tools like StormCaster, allowing for map integration, charting, tables presentations, and robust communications. As we move into 2015, HTML5 is maturing to the point where it can be used in place of Silverlight, and we anticipate migrating the solution to an HTML5-based paradigm in the future.silverlight





Why Stormcaster?

A new tool for understanding climate change in your community.

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How it works

To produce a storm forecast that includes climate change impacts, StormCaster uses two sources of data.

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Case Study

A sample forecast: The Atlanta Case Study.

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StormCaster network

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