Evaluation of the chemistry transport model system KAMM/DRAIS, based on daytime ground-level ozone data

2004 ◽  
Vol 22 (1/2) ◽  
pp. 87 ◽  
Author(s):  
Klaus Nester ◽  
Hans Jurgen Panitz
Keyword(s):  
Transport Model ◽  
Ground Level ◽  
Model System ◽  
Chemistry Transport Model ◽  
Ground Level Ozone ◽  
Ozone Data

Aerosol Dynamics Modelling in the Regional Chemistry Transport Model System Eurad

1998 ◽  
pp. 721-722
Author(s):  
Ingmar J. Ackermann ◽  
Heinz Hass ◽  
A. Ebel ◽  
M. Memmesheimer ◽  
H. J. Jakobs
Keyword(s):  
Transport Model ◽  
Model System ◽  
Chemistry Transport Model ◽  
Aerosol Dynamics ◽  
Dynamics Modelling

scholarly journals First steps towards the assimilation of IASI ozone data into the MOCAGE-PALM system

2009 ◽  
Vol 9 (2) ◽  
pp. 6691-6737 ◽  
Author(s):  
S. Massart ◽  
C. Clerbaux ◽  
D. Cariolle ◽  
A. Piacentini ◽  
S. Turquety ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Total Ozone ◽  
Transport Model ◽  
Polar Regions ◽  
Observation Error ◽  
Random Errors ◽  
Chemistry Transport Model ◽  
Ozone Data ◽  
The One ◽  
New Generation

Abstract. The Infrared Atmospheric Sounding Interferometer (IASI) is one of the five European new generation instruments carried by the polar-orbiting MetOp-A satellite. Data assimilation is a powerful tool to combine these data with a numerical model. This paper presents the first steps made towards the assimilation of the total ozone columns from the IASI measurements into a chemistry transport model. The IASI ozone data used are provided by an inversion of radiances performed at the LATMOS (Laboratoire Atmosphères, Milieux, Observations Spatiales). As a contribution to the validation of this dataset, the LATMOS-IASI data are compared to a four dimensional ozone field, with low systematic and random errors compared to ozonesondes and OMI-DOAS data. This field results from the combined assimilation of ozone profiles from the MLS instrument and of total ozone columns from the SCIAMACHY instrument. It is found that on average, the LATMOS-IASI data tends to overestimate the total ozone columns by 2% to 8%. The random observation error of the LATMOS-IASI data is estimated to about 6%, except over polar regions and deserts where it is higher. Using this information, the LATMOS-IASI data are then assimilated, combined with the MLS data. This first LATMOS-IASI data assimilation experiment shows that the resulting analysis is quite similar to the one obtained from the combined MLS and SCIAMACHY data assimilation.

scholarly journals Impact of the vertical emission profiles on ground-level gas-phase pollution simulated from the EMEP emissions over Europe

2013 ◽  
Vol 13 (2) ◽  
pp. 3663-3693
Author(s):  
S. Mailler ◽  
D. Khvorostyanov ◽  
L. Menut
Keyword(s):  
Air Quality ◽  
Gas Phase ◽  
Recent Literature ◽  
Transport Model ◽  
Ground Level ◽  
Anthropogenic Emissions ◽  
Vertical Profiles ◽  
Chemistry Transport Model ◽  
Vertical Injection ◽  
One Year

Abstract. Five one-year air quality simulations over a domain covering Europe have been performed using the CHIMERE chemistry transport model and the EMEP emission dataset for Europe. These five simulations differ only by the representation of the effective emission heights for anthropogenic emissions: one has been run using the EMEP standard recommandations, three others with vertical injection profiles derived from the EMEP recommandations but multiplying the injection height by respectively 0.75, 0.50 and 0.25, while the last one uses vertical profiles derived from the recent literature. It is shown that using injection heights lower than the EMEP recommandations leads to significantly improved simulation of SO2, NO2 and O3 concentrations when compared to the Airbase station measurements.

scholarly journals Characterizing the regional concentrations and seasonality of the emerging pollutant decamethylcyclopentasiloxane (D5) using a WRF+CHIMERE modeling approach

Elem Sci Anth ◽  
2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Pedro Jiménez-Guerrero ◽  
Nuno Ratola
Keyword(s):  
Emission Factor ◽  
Transport Model ◽  
Ground Level ◽  
Seasonal Distribution ◽  
Emission Rates ◽  
Chemistry Transport Model ◽  
Future Behavior ◽  
Emerging Pollutant ◽  
Urban Sites ◽  
Strong Seasonality

In this study, the results from two passive air sampling campaigns (winter and summer) performed previously in 8 different urban sites allowed the inclusion of the volatile methyl siloxane (VMS) D5 in a chemistry transport model (WRF+CHIMERE modeling system) to assess its performance in describing the concentrations and seasonal distribution of this emergent contaminant in a domain covering the western Iberian Peninsula. The model estimations were evaluated using the available field-based data, and the WRF+CHIMERE approach showed, in general, errors under 50% for all sampling sites and seasons, with a slight tendency to underestimations of D5 concentrations when using the lowest emission factor among those selected from the literature and to very large overestimations when using the highest emission factor available. The greatest errors are found for remote sampling points (substantial overestimations of the models at Midões, by even a factor of 3) and for coastal ones (where population and therefore emissions exhibit strong seasonality). The results also indicate that the chemical sinks by OH degradation play a negligible role on the ground-level concentrations of D5 at the scale of the investigated domain, with average contributions under 0.5%. Despite the lack of data regarding D5 emissions in the area, which led to the assumption of emission rates taken from other countries (and a constant population in the domain), the results of this first study are excellent and highlight the skill of WRF+CHIMERE in reproducing D5 concentrations. Indeed, the nature of the proposed modeling tool is helpful for understanding the processes conditioning the present and future behavior of contaminants like D5. Moreover, the model is bound to allow the future inclusion of D5 (and other VMSs) in regulatory scenarios, since restrictions on the use of these chemicals have just started to be introduced.

scholarly journals Attribution of ground-level ozone to anthropogenic and natural sources of nitrogen oxides and reactive carbon in a global chemical transport model

2020 ◽  
Vol 20 (17) ◽  
pp. 10707-10731
Author(s):  
Tim Butler ◽  
Aurelia Lupascu ◽  
Aditya Nalam
Keyword(s):  
Transport Model ◽  
Surface Ozone ◽  
Ground Level ◽  
Chemical Transport ◽  
Oxides Of Nitrogen ◽  
Source Attribution ◽  
Current Generation ◽  
Ground Level Ozone ◽  
Reactive Carbon ◽  
Intercontinental Transport

Abstract. We perform a source attribution for tropospheric and ground-level ozone using a novel technique that accounts separately for the contributions of the two chemically distinct emitted precursors (reactive carbon and oxides of nitrogen) to the chemical production of ozone in the troposphere. By tagging anthropogenic emissions of these precursors according to the geographical region from which they are emitted, we determine source–receptor relationships for ground-level ozone. Our methodology reproduces earlier results obtained via other techniques for ozone source attribution, and it also delivers additional information about the modelled processes responsible for the intercontinental transport of ozone, which is especially strong during the spring months. The current generation of chemical transport models used to support international negotiations aimed at reducing the intercontinental transport of ozone shows especially strong inter-model differences in simulated springtime ozone. Current models also simulate a large range of different responses of surface ozone to methane, which is one of the major precursors of ground-level ozone. Using our novel source attribution technique, we show that emissions of NOx (oxides of nitrogen) from international shipping over the high seas play a disproportionately strong role in our model system regarding the hemispheric-scale response of surface ozone to changes in methane, as well as to the springtime maximum in intercontinental transport of ozone and its precursors. We recommend a renewed focus on the improvement of the representation of the chemistry of ship NOx emissions in current-generation models. We demonstrate the utility of ozone source attribution as a powerful model diagnostic tool and recommend that similar source attribution techniques become a standard part of future model intercomparison studies.

scholarly journals Attribution of ground-level ozone to anthropogenic and natural sources of NO<sub>x</sub> and reactive carbon in a global chemical transport model

2020 ◽  
Author(s):  
Tim Butler ◽  
Aurelia Lupascu ◽  
Aditya Nalam
Keyword(s):  
Transport Model ◽  
Surface Ozone ◽  
Ground Level ◽  
Chemical Transport ◽  
Oxides Of Nitrogen ◽  
Source Attribution ◽  
Current Generation ◽  
Ground Level Ozone ◽  
Reactive Carbon ◽  
Intercontinental Transport

Abstract. We perform a source attribution for tropospheric and ground-level ozone using a novel technique which accounts separately for the contributions of the two chemically distinct emitted precursors (reactive carbon and oxides of nitrogen) to the chemical production of ozone in the troposphere. By tagging anthropogenic emissions of these precursors according to the geographical region from which they are emitted, we determine source/receptor relationships for ground-level ozone. Our methodology reproduces earlier results obtained through other techniques for ozone source attribution, and also delivers additional information about the modelled processes responsible for intercontinental transport of ozone, which is especially strong during the spring months. The current generation of chemical transport models used to support international negotiations aimed at reducing the intercontinental transport of ozone show especially strong inter-model differences in simulated springtime ozone. Current models also simulate a large range of different responses of surface ozone to methane, one of the major precursors of ground-level ozone. Using our novel source attribution technique, we show that emissions of NOx from international shipping over the high seas play a disproportionately strong role in our model system to the hemispheric-scale response of surface ozone to changes in methane, as well as to the springtime maximum in intercontinental transport of ozone and its precursors. We recommend a renewed focus on improvement of the representation of the chemistry of ship NOx emissions in current-generation models. We demonstrate the utility of ozone source attribution as a powerful model diagnostic tool, and recommend that similar source attribution techniques become a standard part of future model inter-comparison studies.

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