This review paper summarizes current knowledge available for aviation operations related
to meteorology and provides suggestions for necessary improvements in the measurement …

Understanding atmospheric transport and dispersal events has an important role in a range
of scenarios. Of particular importance is aiding in emergency response after an intentional or …

Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather
in: Bulletin of the American Meteorological Society Volume 98 Issue 10 (2017) Jump to …

We present an overview of recent work on using artificial intelligence (AI)/machine learning
(ML) techniques for forecasting convective weather and its associated hazards, including …

Environmental sensors have been deployed in various cities for early detection of
contaminant releases into the atmosphere. Event reconstruction and improved dispersion …

Establishing an accurate source–receptor relationship is essential for identifying unknown
sources of air pollution in complex urban environments. Existing source term estimation …

The rapid and accurate prediction of the release source and concentration of pollutants
remains a crucial issue in emergency rescue. A suitable gas diffusion model, an appropriate …

A methodology combining Bayesian inference with Markov chain Monte Carlo (MCMC)
sampling is applied to a real accidental radioactive release that occurred on a continental …

In this work, we present a method to localize a source in complex urban environments using
particle swarm optimization (PSO). Instead of using PSO to minimize the difference between …

In homeland security applications, it is often necessary to characterize the source location
and strength of a potentially harmful contaminant. Correct source characterization requires …