Sentence examples for air quality forecasting from inspiring English sources

In this paper advances in air quality forecasting are discussed with an emphasis on data assimilation.

We present the operational air quality forecasting and monitoring system PREV'AIR and its evaluation.

Furthermore, the algorithm's DB implementation enables time sensitive burned area mapping to support operational air quality forecasting.

Air quality forecasting requires dynamic fire emission estimates that are generated in a timely manner to support real-time operations.

As more atmospheric chemical observations become available chemical data assimilation is expected to play an essential role in air quality forecasting.

Improved wildland fire emission inventory methods are needed to support air quality forecasting and guide the development of air shed management strategies.

An enhanced PM2.5 air quality forecast model based on nonlinear regression (NLR) and back-trajectory concentrations has been developed for use in the Louisville, Kentucky metropolitan area.

Defra could give no indication of when service might be restored, but the spokesperson insisted that the holding page was regularly updated with the latest air quality forecasts, pollution notifications and health advice.

Atmospheric chemical transport models (CTMs) are essential tools for the study of air pollution, for environmental policy decisions, for the interpretation of observational data, and for producing air quality forecasts.

The PM2.5 air quality forecast model is designed for use in the warm season, from May through September, when PM2.5 air quality is more likely to be critical for human health.

The enhanced PM2.5 model consists of a basic NLR model, developed for use with an automated air quality forecast system, and an additional parameter based on upwind PM2.5 concentration, called PM24.