Online coupled regional meteorology chemistry models in Europe: current status and prospects
A Baklanov, K Schlünzen, P Suppan… - Atmospheric …, 2014 - acp.copernicus.org
Online coupled mesoscale meteorology atmospheric chemistry models have undergone a
rapid evolution in recent years. Although mainly developed by the air quality modelling …
rapid evolution in recent years. Although mainly developed by the air quality modelling …
A review of operational, regional-scale, chemical weather forecasting models in Europe
Numerical models that combine weather forecasting and atmospheric chemistry are here
referred to as chemical weather forecasting models. Eighteen operational chemical weather …
referred to as chemical weather forecasting models. Eighteen operational chemical weather …
Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique
Abstract A 5-year Clean Air Action Plan was implemented in 2013 to reduce air pollutant
emissions and improve ambient air quality in Beijing. Assessment of this action plan is an …
emissions and improve ambient air quality in Beijing. Assessment of this action plan is an …
Recommendations on statistics and benchmarks to assess photochemical model performance
Photochemical grid models are addressing an increasing variety of air quality related issues,
yet procedures and metrics used to evaluate their performance remain inconsistent. This …
yet procedures and metrics used to evaluate their performance remain inconsistent. This …
The Community Multiscale Air Quality (CMAQ) model versions 5.3 and 5.3. 1: system updates and evaluation
The Community Multiscale Air Quality (CMAQ) model version 5.3 (CMAQ53), released to the
public in August 2019 and followed by version 5.3. 1 (CMAQ531) in December 2019 …
public in August 2019 and followed by version 5.3. 1 (CMAQ531) in December 2019 …
Openair—an R package for air quality data analysis
DC Carslaw, K Ropkins - Environmental Modelling & Software, 2012 - Elsevier
openair is an R package primarily developed for the analysis of air pollution measurement
data but which is also of more general use in the atmospheric sciences. The package …
data but which is also of more general use in the atmospheric sciences. The package …
PM10 emission forecasting using artificial neural networks and genetic algorithm input variable optimization
DZ Antanasijević, VV Pocajt, DS Povrenović… - Science of the Total …, 2013 - Elsevier
This paper describes the development of an artificial neural network (ANN) model for the
forecasting of annual PM10 emissions at the national level, using widely available …
forecasting of annual PM10 emissions at the national level, using widely available …
Source apportionment and spatial variability of PM2. 5 using measurements at five sites in the Netherlands
D Mooibroek, M Schaap, EP Weijers… - Atmospheric …, 2011 - Elsevier
The Netherlands is considered one of the hotspot areas in Europe with high concentrations
of particulate matter (PM) and may not be able to meet all standards for PM2. 5 in time with …
of particulate matter (PM) and may not be able to meet all standards for PM2. 5 in time with …
How aerosol size matters in aerosol optical depth (AOD) assimilation and the optimization using the Ångström exponent
J Jin, B Henzing, A Segers - Atmospheric Chemistry and Physics, 2023 - acp.copernicus.org
Satellite-based aerosol optical depth (AOD) has gained popularity as a powerful data source
for calibrating aerosol models and correcting model errors through data assimilation …
for calibrating aerosol models and correcting model errors through data assimilation …
Air quality modeling in the metropolitan area of São Paulo, Brazil: A review
Numerous studies have used air quality models to estimate pollutant concentrations in the
Metropolitan Area of São Paulo (MASP) by using different inputs and assumptions. Our …
Metropolitan Area of São Paulo (MASP) by using different inputs and assumptions. Our …