The functionality of airports is key to sustain enterprise transportation operations. Natural hazards such as earthquakes, windstorms, etc, can disrupt the airports and cause operational downtime at enterprises that are dependent on air cargo. This paper presents a framework to estimate functionality downtime of airports following a hazard by estimating damage to different key components such as terminals, air control towers, runways, etc, and makes probabilistic predictions for recovery duration. The framework is presented at two different resolutions so that relevant parameters can be estimated based on the availability of data. At a coarser resolution, the downtime is estimated conditioned on damage to key airport components. It is considered that all the airport components must function for the airport to remain functional. At a finer resolution, the functionality capacity/demand on each key airport component is separately accounted in the framework to determine the complete airport functionality. The model outcome is the mean and standard deviation of the airport functional downtime and a recovery curve representing expected functionality of the airport as a function of time following the disaster. Based on historic observations, multiple airport functionality levels are considered following a disaster in order to derive downtime estimates. An example of model parameter calibration and validation is presented based on available ground truth data from recent earthquakes and example model predictions are summarized for different earthquake intensities. The model estimates can help decision makers to plan operations after future events, for example, by building emergency operations, communication and recovery plans.