Pollutant dispersion processes over complex terrain are much more complicated than over
flat areas, as they are affected by atmospheric interactions with the orography at different …

This work aims at distilling a systematic methodology to modernize existing sequential
scientific codes with a little re-designing effort, turning an old codebase into modern code, ie …

This paper presents the results of a field campaign aiming at testing the ability of a network
of low-cost electrochemical sensors to measure nitrogen dioxide concentration levels …

Abstract Inverse Dispersion Modelling (IDM) establishes a relationship between an air
pollutant concentration downstream of a source and the strength of an emission source by …

Pollutant concentrations in the atmosphere are controlled not only by emissions, but also by
meteorological processes. As a consequence, adverse atmospheric conditions may hinder …

This work aims at assessing the ability of the Weather Research and Forecasting model,
coupled with a multilayer urban canopy scheme and a building energy model (BEP+ BEM) …

In the present work the mesoscale meteorological model Weather Research and
Forecasting (WRF), coupled with a multilayer urban canopy parameterization and a building …

We compare three machine learning models—artificial neural network (ANN), random forest
(RF), and convolutional neural network (CNN)—for spatial downscaling of temperature at 2 …

This study analyzes turbulent energy fluxes in the Arctic atmospheric boundary layer (ABL)
using measurements with a small Uncrewed Aircraft System (sUAS). Turbulent fluxes …

Accurate simulation of pollution diffusion under uneven terrain with complicated obstacles is
a difficult but important scientific and technological issue. The inlet-boundary was important …