Charles Schillinger

Fast and Scalable Air Quality Neural Emulator for High‐Resolution Predictions on Very Large Domains

Abstract This research explores the development and implementation of SIRANet, an advanced deep learning‐based emulator designed for fine‐scale air quality modeling. Leveraging the computational efficiency of neural networks, SIRANet builds upon the established SIRANE atmospheric...