The value of numerical forecast prod ucts in improving tactical air delivery methods

摘要

This thesis investigates the development of an agent-based system to analyze meteorological model data and generate statistics for comparison purposes. With it, it is possible to research the value and level of improvement when utilizing different levels of atmospheric-model resolution for guidance in tactical decision aids. Our agent-based system automates the comparison of model data at a location in the model field with environmental data extracted from sensor data obtained from RAOB launches. Statistics were efficiently generated for the variability of the u and v components of the wind directions, to aid in the rapid determination of the variability of model data and its effects on targeting accuracy. By addressing the interoperability and adaptability of agents, this research demonstrates the usefulness of agents to extract information to rapidly compute mission-planning accuracy.