scholarly journals Air quality real-time operational forecasting system for Europe: an application of the MM5-CMAQ-EMIMO modelling system

2006 ◽  
Author(s):  
R. San José ◽  
J. L. Pérez ◽  
R. M. González
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Operational Forecasting ◽  
Forecasting System ◽  
Modelling System

scholarly journals Aerosols in the CALIOPE air quality modelling system: validation and analysis of PM levels, optical depths and chemical composition over Europe

2011 ◽  
Vol 11 (7) ◽  
pp. 20575-20629
Author(s):  
S. Basart ◽  
M. T. Pay ◽  
O. Jorba ◽  
C. Pérez ◽  
P. Jiménez-Guerrero ◽  
...  
Keyword(s):  
Air Quality ◽  
Chemical Composition ◽  
Air Quality Modelling ◽  
Po Valley ◽  
Aerosol Mass ◽  
Forecasting System ◽  
Bulk Parameters ◽  
Quality Threshold ◽  
Daily Pm10 ◽  
Modelling System

Abstract. The CALIOPE high-resolution air quality modelling system is developed and applied to Europe (12 km × 12 km, 1 h). The modelled daily to seasonal aerosol variability over Europe in 2004 have been evaluated and analysed. The aerosols are estimated from two models, CMAQv4.5 (AERO4) and BSC-DREAM8b. CMAQv4.5 calculates biogenic, anthropogenic and sea salt aerosol and BSC-DREAM8b provides the natural mineral dust contribution from North African deserts. For the evaluation, we use daily PM10/PM2.5 and chemical composition data from 54 stations of the EMEP/CREATE network and coarse and fine aerosol optical depth (AOD) data from 35 stations of the AERONET sun photometer network. The model achieves daily PM10 and PM2.5 correlations of 0.57 and 0.47, respectively, and total, coarse and fine AOD correlations of 0.51, 0.63, and 0.53, respectively. The higher correlations of the PM10 and the coarse mode AOD are largely due to the accurate representation of the African dust influence in the forecasting system. Overall PM and AOD levels are underestimated. The evaluation of the chemical composition highlights underestimations of the modelled fine fractions particularly for carbonaceous matter (EC and OC) and secondary inorganic aerosols (SIA; i.e. nitrates, sulphates and ammonium). The scores of the bulk parameters are significantly improved after applying a simple model bias correction based on the chemical composition observations. SIA are dominant in the fine fractions representing up to 80 % of the aerosol budget in latitudes beyond 40° N. The highest aerosol concentrations are found over the industrialized and populated areas of the Po Valley and the Benelux regions. High values in southern Europe are linked to the transport of coarse particles from the Sahara desert which contributes up to 40 % of the total aerosol mass. Close to the surface, maxima dust seasonal concentrations (>30 μg m–3) are found between spring and early autumn. We estimate that desert dust causes daily exceedances of the PM10 European air quality threshold (50 μg m–3) in large areas south of 45° N reaching up to more than 75 days per year in the southernmost regions.

The Development and Application of Real-Time Monitoring and Forecasting System of Urban Air Quality

2012 ◽  
Vol 201-202 ◽  
pp. 586-589
Author(s):  
Rui Lian Hou
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Urban Air Quality ◽  
Urban Air ◽  
Real Time Monitoring ◽  
Network Database ◽  
Low Energy Consumption ◽  
Function Modules ◽  
Monitoring And Forecasting ◽  
Forecasting System

Underlying on the technologies of internet, network database and GIS, this paper presents the total solution of the development of the real-time monitoring and forecasting system model of urban air quality, which fulfils the requirements to low energy consumption and quick response and provides reference for similar project research.The paper systematically describes the system target,background of the development,running environment choice of the software, process of the development etc.Then it analyses function modules of the system.At last it gives the structures and implementation methods of the system’s database and the system security solution.This system not only can generate the state analysis reports and the early warning, but also can visualize the data analysing of the air quality by GIS.

scholarly journals Preliminary Tests on the Sensitivity of the FORAIR_IT Air Quality Forecasting System to Different Meteorological Drivers

Atmosphere ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 574 ◽  
Author(s):  
Mario Adani ◽  
Antonio Piersanti ◽  
Luisella Ciancarella ◽  
Massimo D’Isidoro ◽  
Maria Gabriella Villani ◽  
...  
Keyword(s):  
Air Quality ◽  
Integrated Assessment Model ◽  
Assessment Model ◽  
Atmospheric Pollutants ◽  
Atmospheric Modelling ◽  
Regional Atmospheric Modelling System ◽  
Forecasting System ◽  
Meteorological Input ◽  
Modelling System ◽  
Air Quality Forecasting

Since 2017, the operational high-resolution air quality forecasting system FORAIR_IT, developed and maintained by the Italian National Agency for New Technologies, Energy and Sustainable Economic Development, has been providing three-day forecasts of concentrations of atmospheric pollutants over Europe and Italy, on a daily basis, with high spatial resolution (20 km on Europe, 4 km on Italy). The system is based on the Atmospheric Modelling System of the National Integrated Assessment Model for Italy (AMS-MINNI), which is a national modelling system evaluated in several studies across Italy and Europe. AMS-MINNI, in its forecasting setup, is presently a candidate model for the Copernicus Atmosphere Monitoring Service’s regional production, dedicated to European-scale ensemble model forecasts of air quality. In order to improve the quality of the meteorological input into the chemical transport model component of FORAIR_IT, several tests were carried out on daily forecasts of NO2 and O3 concentrations for January and August 2019 (representative of the meteorological seasons of winter and summer, respectively). The aim was to evaluate the sensitivity to the meteorological input in NO2 and O3 concentration forecasting. More specifically, the Weather Research and Forecasting model (WRF) was tested to potentially improve the meteorological driver with respect to the Regional Atmospheric Modelling System (RAMS), which is currently embedded in FORAIR_IT. In this work, the WRF chain is run in several setups, changing the parameterization of several micrometeorological variables (snow, mixing height, albedo, roughness length, soil heat flux + friction velocity, Monin–Obukhov length), with the main objective being to take advantage of WRF’s consistent physics in the calculation of both mesoscale variables and micrometeorological parameters for air quality simulations. Daily forecast concentrations produced by the different meteorological model configurations are compared to the available measured concentrations, showing the general good performance of WRF-driven results, even if performance skills are different according to the single meteorological configuration and to the pollutant type. WRF-driven forecasts clearly improve the model reproduction of the temporal variability of concentrations, while the bias of O3 is higher than in the RAMS-driven configuration. The results suggest that we should keep testing WRF configurations, with the objective of obtaining a robust improvement in forecast concentrations with respect to RAMS-driven forecasts.

Air quality forecasting system based on chemical transport models

2019 ◽  
Vol 4 ◽  
pp. 203-218
Author(s):  
I.N. Kusnetsova ◽  
◽  
I.U. Shalygina ◽  
M.I. Nahaev ◽  
U.V. Tkacheva ◽  
...  
Keyword(s):  
Air Quality ◽  
Chemical Transport ◽  
Transport Models ◽  
Chemical Transport Models ◽  
Forecasting System ◽  
Air Quality Forecasting

Real-Time Forecasting System of Winds, Waves and Surge in Tropical Cyclones

2003 ◽  
Author(s):  
Hans C. Graber ◽  
Mark A. Donelan ◽  
Michael G. Brown ◽  
Donald N. Slinn ◽  
Scott C. Hagen ◽  
...  
Keyword(s):  
Real Time ◽  
Tropical Cyclones ◽  
Forecasting System
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