This paper describes the pre-operational analysis and forecasting system developed during
MACC (Monitoring Atmospheric Composition and Climate) and continued in the MACC-II …

The scientific literature is scarce when referring to the influence of atmospheric pollutants on
neurodegenerative diseases for present and future climate change scenarios. In this sense …

Due to its dependence on fossil fuel combustion, emissions from the marine transport sector
can significantly contribute to air pollution. This work aims to evaluate the impact of maritime …

In preparation for the Fourth Industrial Revolution (IR 4.0) in Malaysia, the government
envisions a path to environmental sustainability and an improvement in air quality. Air …

Quantifying predictive uncertainty of ensemble air quality forecast is very crucial and
challenging. This study integrated a Copula-based Bayesian Model Averaging (CBMA) and …

A high percentage of the world's population lives in areas where air pollutant concentrations
exceed the World Health Organization guidelines. This work aims to develop and test, a high …

Quantifying predictive uncertainty inherent in the nonlinear multivariate dependence
structure of multi-step-ahead PM 2.5 forecasts is challenging. This study integrates a …

This paper presents the application of an ensemble forecasting approach to the Prev'Air
operational platform. This platform aims at forecasting maps, on a daily basis, for ozone …

Currently three air quality modelling systems operate routinely with high-resolution over
mainland Portugal for forecasting purposes, namely MM5-CHIMERE, MM5-EURAD, and …

Improving Air Quality Predictions over the United States with an Analog Ensemble in:
Weather and Forecasting Volume 35 Issue 5 (2020) Jump to Content Jump to Main …