Descripción
Impacts AQ Modeling and Forecasting
Application of Air Quality Modeling and Forecasting
Sand and dust storm forecasts and the extended R&D and applications of CUACE
CUACE is the CMA Unified Atmospheric Chemistry Environment which is designed for the numerical chemical weather forecasting. Based on CUACE, two forecasting systems have been developed in CMA. One is the CUACE/Haze-fog which is for heavy pollution warning, the other is CUACE/Dust which has been operationally run...
Air quality (AQ) is a major challenge in Bogota. Frequently, PM ambient standards are exceeded in the southwestern areas of the city. An AQ modeling plataform was estalished in Bogota aiming to understand sources of pollution and evaluate control strategies. Modeling fields allow to estimate pollutant concentrations outside the AQ monitoring network range. Health impacts can be assessed at the...
The Rapid Refresh and High-Resolution Rapid Refresh coupled with Smoke (RAP/HRRR-Smoke) models are based on NOAA’s RAP/HRRR numerical weather prediction modeling systems. The RAP model domain covers the entire North and Central Americas at 13.5km grid spacing. The HRRR domain covers the contiguous US at 3km grid spacing. The RAP-Smoke model provides boundary conditions for the meteorological...
The impacts of climate change on air quality — and thus on human and ecosystem health — act through multiple pathways. The drivers of these impacts are primarily higher temperatures (influencing chemical reaction rates), but also changes in other meteorological factors such as clouds (influencing photochemistry), precipitation (influencing deposition), and winds (influencing pollutant...
As in many other countries, Mexico needs to develop the capacity to model air quality for various diagnostic and forecasting applications. These two applications categories have common challenges and needs specific to one or the other. Both require being able to evaluate the model performance in terms of the maximum pollutants values and their hourly profiles. This requires comparisons...
A daily and monthly estimate of sulfur dioxide (SO2) dispersion emitted by the Turrialba volcano in Costa Rica was made between January and December 2019 with the help of the AERMOD code. The measured data at the emission source such as topography (digital elevation model of the area around the volcano) and other characteristics of the emission source were included in the computer program....
The National Weather Service (NWS) National Air Quality Forecast Capability (NAQFC) implemented a newer version of the operational air quality model, AQM version 6, at the National Center for Environmental Prediction (NCEP) in July 2021. NAQFC is a collaborative effort to improve operational air quality (AQ) forecast guidance among the Environmental Modeling Center (EMC), Air Resources...
The National Oceanic and Atmospheric Administration (NOAA) National Air Quality Forecast Capability (NAQFC) utilizes the offline-coupled Global Forecast System (GFS) with the Community Multiscale Air Quality (CMAQ) modeling system (GFS-CMAQ). Although NAQFC has used carbon-bond (CB) series mechanisms, its capability of deploying different mechanisms for operational forecasting has not been...
