Abstract: A method and system for providing a recovery sequence for a network from a state of disruption to a state of partial or complete functionality are provided. The method and system can measure the response of a network to one or multiple hazards and can generate and compare the effectiveness of multiple recovery strategies in a quantitative and generalizable manner, providing a user with practical tools to implement an efficient restoration of the network.

Abstract: A system and method for providing multivariate climate change forecasting are provided that obtain, from one or more climate model datasets, simulated historical and future climate model data, and from one or more climate observational datasets, historical observed climate data. A statistical distribution, using a Bayesian model, is provided of extremes or climate indices for one or more variable climate features using the simulated climate model data and the observed climate data. One or more metrics are determined, including a prediction of a future climate variable for a determined future time period, a confidence bound of the prediction of the future climate variable for the determined future time period, and a prediction bound for the future climate variable for the determined future time period. The metrics can be transmitted to a variety of applications in a variety of formats.

Abstract: A method and system for providing a recovery sequence for a network from a state of disruption to a state of partial or complete functionality are provided. The method and system can measure the response of a network to one or multiple hazards and can generate and compare the effectiveness of multiple recovery strategies in a quantitative and generalizable manner, providing a user with practical tools to implement an efficient restoration of the network.

Abstract: A method and system for providing a recovery sequence for a network from a state of disruption to a state of partial or complete functionality are provided. The method and system can measure the response of a network to one or multiple hazards and can generate and compare the effectiveness of multiple recovery strategies in a quantitative and generalizable manner, providing a user with practical tools to implement an efficient restoration of the network.

Abstract: A system and method for providing multivariate climate change forecasting are provided that obtain, from one or more climate model datasets, simulated historical and future climate model data, and from one or more climate observational datasets, historical observed climate data. A statistical distribution, using a Bayesian model, is provided of extremes or climate indices for one or more variable climate features using the simulated climate model data and the observed climate data. One or more metrics are determined, including a prediction of a future climate variable for a determined future time period, a confidence bound of the prediction of the future climate variable for the determined future time period, and a prediction bound for the future climate variable for the determined future time period. The metrics can be transmitted to a variety of applications in a variety of formats.

Abstract: A method and system for providing a recovery sequence for a network from a state of disruption to a state of partial or complete functionality are provided. The method and system can measure the response of a network to one or multiple hazards and can generate and compare the effectiveness of multiple recovery strategies in a quantitative and generalizable manner, providing a user with practical tools to implement an efficient restoration of the network.