The Atmosphere Special Issue entitled “Air Pollution Modeling: Local, Regional, and Global-Scale Applications” comprises nine original papers [...]

This paper presents a hybrid methodology for accelerating Computational Fluid Dynamics (CFD) simulations intertwining inferences from deep neural networks (DNN). The strategy leverages the local spatial data of velocity field to leverage three-dimensional convolutional kernels within DNN. workflow is composed two-step cycles where CFD solvers calculations are utilized feed predictive models, wh...

There is no question that libraries of all sizes, matter how small, have an important role to play in preserving and facilitating the discovery government publications. This especially true for documents issued at state local level, precisely because they are less-well known nationally therefore less likely be included larger national digitization projects. By focusing on what might as well cal...