A quantitative method has been developed to evaluate meteorological data (surface weather observations) in terms of the performance of visual and infrared sensors so that relevant time and space variability in performance can be depicted. Approximate atmospheric transmission parameters for visible and infrared radiation are deduced from common weather observables (cloud data, temperature, humidity, etc.) as are vertical profiles of the parameters. Use of these algorithms with a set of target acquisition modeling equations (as given in Appendix A) can produce target detection probabilities for any location, season, and time scale for which historical-weather data are available. In turn, the detection probabilities can be employed in battle simulation models to examine how force effectiveness varies as a function of weather and climate. 38 pp. Ref.
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