Real-time air quality forecasting, part I: History, techniques, and current status
Real-time air quality forecasting (RT-AQF), a new discipline of the atmospheric sciences,
represents one of the most far-reaching development and practical applications of science …
represents one of the most far-reaching development and practical applications of science …
[HTML][HTML] Advances in air quality modeling and forecasting
A Baklanov, Y Zhang - Global Transitions, 2020 - Elsevier
The importance of and interest to research and investigations of atmospheric composition
and its modeling for different applications are substantially increased. Air quality forecast …
and its modeling for different applications are substantially increased. Air quality forecast …
Root mean square error (RMSE) or mean absolute error (MAE)?–Arguments against avoiding RMSE in the literature
T Chai, RR Draxler - Geoscientific model development, 2014 - gmd.copernicus.org
Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly
employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that …
employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that …
[PDF][PDF] Root mean square error (RMSE) or mean absolute error (MAE)
T Chai, RR Draxler - Geoscientific model development …, 2014 - gmd.copernicus.org
Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly
employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that …
employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that …
Computational AI prediction models for residual tensile strength of GFRP bars aged in the alkaline concrete environment
Based on a comprehensive literature study, the potential variables that can affect the
durability of GFRP bars under a harsh alkaline environment especially seawater and sea …
durability of GFRP bars under a harsh alkaline environment especially seawater and sea …
Description of the NASA GEOS composition forecast modeling system GEOS‐CF v1. 0
Abstract The Goddard Earth Observing System composition forecast (GEOS‐CF) system is a
high‐resolution (0.25°) global constituent prediction system from NASA's Global Modeling …
high‐resolution (0.25°) global constituent prediction system from NASA's Global Modeling …
Coupling aerosol-cloud-radiative processes in the WRF-Chem model: Investigating the radiative impact of elevated point sources
EG Chapman, WI Gustafson Jr… - Atmospheric …, 2009 - acp.copernicus.org
The local and regional influence of elevated point sources on summertime aerosol forcing
and cloud-aerosol interactions in northeastern North America was investigated using the …
and cloud-aerosol interactions in northeastern North America was investigated using the …
Modeling of gas and aerosol with WRF/Chem over Europe: Evaluation and sensitivity study
P Tuccella, G Curci, G Visconti… - Journal of …, 2012 - Wiley Online Library
The “online” meteorological and chemical transport Weather Research and
Forecasting/Chemistry (WRF/Chem) model has been implemented over a European …
Forecasting/Chemistry (WRF/Chem) model has been implemented over a European …
Real-time air quality forecasting, part II: State of the science, current research needs, and future prospects
The review of major 3-D global and regional real-time air quality forecasting (RT-AQF)
models in Part I identifies several areas of improvement in meteorological forecasts …
models in Part I identifies several areas of improvement in meteorological forecasts …
Machine learning algorithms in air quality modeling
A Masih - Global Journal of Environmental Science and …, 2019 - gjesm.net
Modern studies in the field of environment science and engineering show that deterministic
models struggle to capture the relationship between the concentration of atmospheric …
models struggle to capture the relationship between the concentration of atmospheric …