Abstract: A method for predicting effects of climate change on supply chain performance includes receiving a global climate change model, a supply chain model, and at least one element model. A regional climate model modeling local weather is generated using the global climate model. A first supply chain performance is simulated using the supply chain model, the element model and the regional climate model. One or more extreme weather events are forecasted using the regional climate model. A second supply chain performance is simulated using the supply chain model and the forecasted extreme weather events. A score is determined for the supply chain performance.

Abstract: A method for structuring an electric utility grid having traditional and renewable sources of electric power uses a weather forecasting system to determine, for a time interval, whether there are paths between all generating units and all consuming units satisfying certain constraints. The method includes computing a probable output for each of the generating units, both traditional and renewable, and computing a probable load for each of said consuming units for the time interval using both historical and weather forecast data. The method also includes determining the maximum load capacity of each segment in the utility grid for the time interval, the segments being the power lines making up the grid, and assigning the maximum load capacity of each segment to be a constraint therefor for the time interval and computing whether there are paths from each of the generating units to each of the consuming units for which the maximum load capacities will not be exceeded.

Abstract: A method for structuring an electric utility grid having traditional and renewable sources of electric power uses a weather forecasting system to determine, for a time interval, whether there are paths between all generating units and all consuming units satisfying certain constraints. The method includes computing a probable output for each of the generating units, both traditional and renewable, and computing a probable load for each of said consuming units for the time interval using both historical and weather forecast data. The method also includes determining the maximum load capacity of each segment in the utility grid for the time interval, the segments being the power lines making up the grid, and assigning the maximum load capacity of each segment to be a constraint therefor for the time interval and computing whether there are paths from each of the generating units to each of the consuming units for which the maximum load capacities will not be exceeded.

Abstract: The present disclosure relates generally to methods, systems and computer program storage devices for generating a flooding forecast. In one specific example, the present disclosure relates generally to methods, systems and computer program storage devices for generating a flooding forecast for an urban environment. In another example, a fully conservative model may be utilized that allows employing an unstructured hybrid grid (1-dimesional/2-dimensional) to represent an urban area, where the 1-dimesional grid is a simplified representation of part of the domain.

Abstract: The present disclosure relates generally to methods, systems and computer program storage devices for generating a response to flooding. In one specific example, the present disclosure relates to methods, systems and computer program storage devices for generating one or more operational responses to flooding.