Review of Briant R. Et al, Aerosol effects modelling using an online coupling between the meteorological model WRF and the chemistry-transport model CHIMERE, GMDD, 2016

Aerosol concentrations over Europe and Germany were simulated for the years 1985 and 2013 using the aerosol-chemistry transport model COSMO-MUSCAT. The aerosol fields from the two simulations were used in a high-resolution meteorological model for a sensitivity study on cloud properties. The modelled aerosol and cloud variables were compared to a variety of available observations, including satellites, remote sensing and in-situ observations. Finally, the radiative forcing of the aerosol could be estimated from the different sensitivity simulations.Due to reduction of emissions the ambient aerosol mass and number in Europe was strongly decreased since the 1980s. Hence, today&#8217;s number of particles in the CCN size range is smaller. The HD(CP)2 (High Definition Clouds and Precipitation for Climate Prediction) project amongst others aimed at analysing the effect of the emission reduction on cloud properties.As a pre-requiste, the aerosol mass, number, and composition over Germany were simulated for 1985 and 2013 using the regional chemistry-transport-model COSMO-MUSCAT. The EDGAR emission inventory was used for both years.The model results were compared to observations from the two HD(CP)2 campaigns that took place in 2013 (HOPE, HOPE-Melpitz) as well as the AVHRR aerosol optical thickness product, which is available from 1981 onwards. Despite the fact, that emissions of the 1980s are very uncertain, the modelled AOD is in good agreement with observations. The modelled mean CCN number concentration in 1985 is a factor of 2-4 higher than in 2013.Within HD(CP)2, the ICON weather forecast model was applied in a configuration allowing for large-eddy simulations. In these simulations, the time-varying CCN fields for the year 1985 and 2013 calculated with COSMO-MUSCAT were used as input for ICON-LEM. In the present-day simulation, the cloud droplet number agrees with observations, whereas the perturbed (1985) simulation does not with droplet numbers about twice as high as in 2013. Also, for other cloud variables systematic changes between the two scenarios were observed.

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Aerosol effects modeling using an online coupling between the meteorological model WRF and the chemistry-transport model CHIMERE

10.5194/gmd-2016-73 ◽

2016 ◽

Author(s):

Régis Briant ◽

Paolo Tuccella ◽

Adrien Deroubaix ◽

Dmitry Khvorostyanov ◽

Laurent Menut ◽

...

Keyword(s):

Optical Properties ◽

Transport Model ◽

Regional Scale ◽

Total Duration ◽

Radiation Budget ◽

Aerosol Optical Properties ◽

Chemistry Transport Model ◽

Meteorological Model ◽

Western Asia ◽

The Impact

Abstract. The presence of airborne aerosols affects the meteorology as it induces a perturbation in the radiation budget, the number of cloud condensation nuclei and the cloud micro-physics. Those effects are difficult to model at regional scale as several distinct models are usually involved. In this paper, the coupling of the CHIMERE chemistry-transport model with the WRF meteorological model using the OASIS3-MCT coupler is presented. WRF meteorological fields along with CHIMERE aerosol optical properties are exchanged through the coupler at a high frequency in order to model the aerosol direct and semidirect effects. The WRF-CHIMERE online model has a higher computational burden than both models ran separately in offline mode (up to 42 % higher). This is mainly due to some additional computations made within the models such as more frequent calls to meteorology treatment routines or calls to optical properties computations routines. On the other hand, the overall time required to perform the OASIS3-MCT exchanges is not significant compared to the total duration of the simulations. The impact of the coupling is evaluated on a case study over Europe, northern Africa, Middle East and western Asia during the Summer 2012, through comparisons of the offline and two online simulations (with and without the aerosol optical properties feedback) to observations of temperature, Aerosol Optical Depth (AOD) and surface PM10 (particulate matter with diameters lower than 10 µm) concentrations. Result shows that using the optical properties feedback induces a radiative forcing (average forcing of −4.8 W.m−2) which creates a perturbation in the average surface temperatures over desert areas (up to 2.6° locally) along with an increase of both AOD and PM10 concentrations.

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The CHIMERE v2020r1 online chemistry-transport model

10.5194/gmd-2021-96 ◽

2021 ◽

Author(s):

Laurent Menut ◽

Bertrand Bessagnet ◽

Régis Briant ◽

Arineh Cholakian ◽

Florian Couvidat ◽

...

Keyword(s):

Meteorological Parameters ◽

Transport Model ◽

Model Performance ◽

Subgrid Scale ◽

Chemistry Transport Model ◽

Meteorological Model ◽

Online Mode ◽

Range Transport ◽

Emission Activity ◽

Operator Integration

Abstract. The CHIMERE v2020r1 model replaces the v2017r5 version and provides numerous novelties. The most important of which is the online coupling with the WRF meteorological model, via the OASIS3-MCT external coupler. The model can still be used in offline mode; the online mode enables taking into account the direct and indirect effects of aerosols on meteorology. This coupling also enables using the meteorological parameters with sub-hourly time-steps. Some new parameterizations are implemented to increase the model performance and the user's choices: DMS emissions, additional schemes for SOA formation with VBS and H2O, improved schemes for mineral dust, biomass burning and sea-salt emissions. The NOx emissions from lightning is added. The model also includes the possibility to use the splitting-operator integration technique. The subgrid scale variability calculation of concentrations due to emission activity sectors is now possible. Finally, a new vertical advection scheme has been implemented, able to simulate more correctly long-range transport of thin pollutants plumes.

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Linking the advanced research WRF meteorological model with the CHIMERE chemistry-transport model

Environmental Modelling & Software ◽

10.1016/j.envsoft.2008.02.002 ◽

2008 ◽

Vol 23 (8) ◽

pp. 1092-1094 ◽

Cited By ~ 3

Author(s):

Oriol Jorba ◽

Thomas Loridan ◽

Pedro Jiménez-Guerrero ◽

Carlos Pérez ◽

José María Baldasano

Keyword(s):

Transport Model ◽

Chemistry Transport Model ◽

Meteorological Model

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Aerosol–radiation interaction modelling using online coupling between the WRF 3.7.1 meteorological model and the CHIMERE 2016 chemistry-transport model, through the OASIS3-MCT coupler

Geoscientific Model Development ◽

10.5194/gmd-10-927-2017 ◽

2017 ◽

Vol 10 (2) ◽

pp. 927-944 ◽

Cited By ~ 15

Author(s):

Régis Briant ◽

Paolo Tuccella ◽

Adrien Deroubaix ◽

Dmitry Khvorostyanov ◽

Laurent Menut ◽

...

Keyword(s):

Optical Properties ◽

Transport Model ◽

Regional Scale ◽

Total Duration ◽

Radiation Budget ◽

Aerosol Optical Properties ◽

Chemistry Transport Model ◽

Meteorological Model ◽

Western Asia ◽

The Impact

Abstract. The presence of airborne aerosols affects the meteorology as it induces a perturbation in the radiation budget, the number of cloud condensation nuclei and the cloud micro-physics. Those effects are difficult to model at regional scale as regional chemistry-transport models are usually driven by a distinct meteorological model or data. In this paper, the coupling of the CHIMERE chemistry-transport model with the WRF meteorological model using the OASIS3-MCT coupler is presented. WRF meteorological fields along with CHIMERE aerosol optical properties are exchanged through the coupler at a high frequency in order to model the aerosol–radiation interactions. The WRF-CHIMERE online model has a higher computational burden than both models run separately in offline mode (up to 42 % higher). This is mainly due to some additional computations made within the models such as more frequent calls to meteorology treatment routines or calls to optical properties computation routines. On the other hand, the overall time required to perform the OASIS3-MCT exchanges is not significant compared to the total duration of the simulations. The impact of the coupling is evaluated on a case study over Europe, northern Africa, the Middle East and western Asia during the summer of 2012, through comparisons of the offline and two online simulations (with and without the aerosol optical properties feedback) to observations of temperature, aerosol optical depth (AOD) and surface PM10 (particulate matter with diameters lower than 10 µm) concentrations. The result shows that using the optical properties feedback induces a radiative forcing (average forcing of −4.8 W m−2) which creates a perturbation in the average surface temperatures over desert areas (up to 2.6° locally) along with an increase in both AOD and PM10 concentrations.

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Estimating the Exposure Levels of Quercus Pollen: A Case Study in the Greater Area of Thessaloniki, Greece

Environmental Sciences Proceedings ◽

10.3390/ecas2021-10326 ◽

2021 ◽

Vol 8 (1) ◽

pp. 15

Author(s):

Serafim Kontos ◽

Dafni Parliari ◽

Sofia Papadogiannaki ◽

Dimitrios Melas

Keyword(s):

Transport Model ◽

Chemistry Transport Model ◽

Meteorological Model ◽

Area Of Interest ◽

Pollen Concentrations ◽

Natural Emissions ◽

Exposure Levels ◽

Overall Performance ◽

The City

In this study the exposure levels from Quercus pollen in the greater area of Thessaloniki are estimated. The estimation is implemented with a modeling system, comprising the meteorological model WRF, the Natural Emissions Model (NEMO) for the calculation of the Quercus pollen emissions and the chemistry-transport model CAMx for the advection and the deposition of the pollen particles. The period of 2016 with the highest potential is selected, based on the available measurements for the area of interest. The modeling system is evaluated with meteorological and pollen measurements, as well on the expected exposure levels, indicating a satisfactory overall performance. The modeling system is finally utilized for the estimation of exposure levels in the greater area of Thessaloniki, showing that the city of is not going to experience significant number of days with high Quercus pollen concentrations, although other, smaller cities and towns might be affected.

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Variability of springtime transpacific pollution transport during 2000–2006: the INTEX-B mission in the context of previous years

Atmospheric Chemistry and Physics ◽

10.5194/acp-10-1345-2010 ◽

2010 ◽

Vol 10 (3) ◽

pp. 1345-1359 ◽

Cited By ~ 16

Author(s):

G. G. Pfister ◽

L. K. Emmons ◽

D. P. Edwards ◽

A. Arellano ◽

T. Campos ◽

...

Keyword(s):

Transport Model ◽

Pollution Transport ◽

Chemistry Transport Model ◽

Pollution Levels ◽

Annual Variability ◽

Source Regions ◽

Time Period ◽

The Pacific ◽

The Us ◽

Transport Experiment

Abstract. We analyze the transport of pollution across the Pacific during the NASA INTEX-B (Intercontinental Chemical Transport Experiment Part B) campaign in spring 2006 and examine how this year compares to the time period for 2000 through 2006. In addition to aircraft measurements of carbon monoxide (CO) collected during INTEX-B, we include in this study multi-year satellite retrievals of CO from the Measurements of Pollution in the Troposphere (MOPITT) instrument and simulations from the chemistry transport model MOZART-4. Model tracers are used to examine the contributions of different source regions and source types to pollution levels over the Pacific. Additional modeling studies are performed to separate the impacts of inter-annual variability in meteorology and dynamics from changes in source strength. Interannual variability in the tropospheric CO burden over the Pacific and the US as estimated from the MOPITT data range up to 7% and a somewhat smaller estimate (5%) is derived from the model. When keeping the emissions in the model constant between years, the year-to-year changes are reduced (2%), but show that in addition to changes in emissions, variable meteorological conditions also impact transpacific pollution transport. We estimate that about 1/3 of the variability in the tropospheric CO loading over the contiguous US is explained by changes in emissions and about 2/3 by changes in meteorology and transport. Biomass burning sources are found to be a larger driver for inter-annual variability in the CO loading compared to fossil and biofuel sources or photochemical CO production even though their absolute contributions are smaller. Source contribution analysis shows that the aircraft sampling during INTEX-B was fairly representative of the larger scale region, but with a slight bias towards higher influence from Asian contributions.

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The On-Line Integrated Mesoscale Chemistry Model BOLCHEM

Atmosphere ◽

10.3390/atmos12020192 ◽

2021 ◽

Vol 12 (2) ◽

pp. 192

Author(s):

Rita Cesari ◽

Tony Christian Landi ◽

Massimo D’Isidoro ◽

Mihaela Mircea ◽

Felicita Russo ◽

...

Keyword(s):

Correlation Coefficient ◽

Transport Model ◽

Horizontal Resolution ◽

Integration Step ◽

Chemistry Transport Model ◽

European Environmental Agency ◽

On Line ◽

One Year ◽

Pm2.5 And Pm10 ◽

Monitoring Service

This work presents the on-line coupled meteorology–chemistry transport model BOLCHEM, based on the hydrostatic meteorological BOLAM model, the gas chemistry module SAPRC90, and the aerosol dynamic module AERO3. It includes parameterizations to describe natural source emissions, dry and wet removal processes, as well as the transport and dispersion of air pollutants. The equations for different processes are solved on the same grid during the same integration step, by means of a time-split scheme. This paper describes the model and its performance at horizontal resolution of 0.2∘× 0.2∘ over Europe and 0.1∘× 0.1∘ in a nested configuration over Italy, for one year run (December 2009–November 2010). The model has been evaluated against the AIRBASE data of the European Environmental Agency. The basic statistics for higher resolution simulations of O3, NO2 and particulate matter concentrations (PM2.5 and PM10) have been compared with those from Copernicus Atmosphere Monitoring Service (CAMS) ensemble median. In summer, for O3 we found a correlation coefficient R of 0.72 and mean bias of 2.15 over European domain and a correlation coefficient R of 0.67 and mean bias of 2.36 over Italian domain. PM10 and PM2.5 are better reproduced in the winter, the latter with a correlation coefficient R of 0.66 and the mean bias MB of 0.35 over Italian domain.

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