The Air Force has integrated operational weather data from regional data sets into a single global set and is seeking innovative ways to leverage this data for decision makers at all levels. To achieve this goal, a toolkit must be developed that is capable of dynamically ingesting published weather data, generating constraints that the weather imposes on operations, and incorporating the resulting assessments into decision-support applications. IAI and its collaborators at the University of South Carolina will build WeatherMan, a novel mission planning tool that considers the impact of weather on tactical operations. The key innovation of WeatherMan is formulating a mission planning optimization problem, constrained by probabilistic weather forecasts with uncertainties and other conventional variables, and provide a Receding Horizon (RH)-field D* based solution to achieve optimal mission success rates. The optimal mission will be evaluated based on metrics combining both weather related operational risk and other critical factors such as execution time, route distance, and fuel consumption. WeatherMan will satisfy the generic demands of weather impact support from the Joint Mission Planning System (JMPS). The tool will also be useful in any Command and Control application that involves the planning of events affected by weather whether they are military operations, government operations, or commercial applications, such as sporting events, transportation, and agriculture.