As part of an ongoing effort for the U.S. Air Force (USAF), under a subcontract to Xator Corporation, the Aeris team is providing atmospheric modeling, simulation, and analytical technology/services to enhance/improve their current suite of operational environmental decision aid systems. Early in this effort, Aeris performed a variety of Observing System Simulation Experiments (OSSEs) to develop and evaluate improved methodologies for extraction of observed signals of interest from the ambient environmental background. For this, we utilized a modified version of the Weather Research and Forecast (WRF) model to generate ensembles of atmospheric influenced dispersion patterns, which were sampled, via virtual sampler systems, and subsequently analyzed by a variety of candidate signal enhancement methodologies. Performance of these methods was documented and provided to the USAF customer in the form of a final report and presentation.
More recently, the Aeris team is actively developing high resolution downscaled weather reanalysis products over complex terrain regions to assess and improve atmospheric transport and dispersion (AT&D) modeling challenges for these situations. Here again, we are utilizing the Numerical Weather Prediction (NWP) and reanalysis capabilities of the WRF modeling system to generate a 20 month reconstruction of atmospheric conditions over the western Indian Himalayan Region, as illustrated in Figure 1. These reanalysis products will be used to initialize AT&D simulations using the Second-order Closure Integrated PUFF (SCIPUFF) model, the results of which will be further analyzed and evaluated to identify and resolve related performance issues.