Boundary layer photochemistry simulated with a two-stream convection scheme

Vautard, Robert; Maidi, Mohamed; Menut, Laurent; Beekmann, Matthias; Colette, Augustin

doi:10.1016/j.atmosenv.2007.06.056

Cited by 11 publications

(10 citation statements)

References 28 publications

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“…Nowacki et al (1996), Ulke and Andrade (2001), Vautard et al (2007). In particular, the differences reach 20% near the surface, while they are insignificant throughout the mixed layer, during the early morning hours (not shown).…”

Section: Ozonementioning

confidence: 77%

“…The more sophisticated non-local turbulent schemes have so far been implemented mainly in one-dimensional chemical models (e.g. Zhang and Rao 1999;Han and Byun 2005;Vautard et al 2007).…”

mentioning

confidence: 99%

“…In most chemistry models the representation of the turbulent fluxes is based on first-order K-theory (Russell and Dennis 2000;Vautard et al 2007). The more sophisticated non-local turbulent schemes have so far been implemented mainly in one-dimensional chemical models (e.g.…”

mentioning

confidence: 99%

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The Role of Planetary Boundary-Layer Parameterizations in the Air Quality of an Urban Area with Complex Topography

Bossioli

Tombrou

Dandou

et al. 2009

Boundary-Layer Meteorol

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The effect of different planetary boundary-layer (PBL) parameterization schemes on the spatial distribution of atmospheric pollution over the complex topography of the greater Athens area is investigated. Four PBL schemes originally implemented in a numerical meteorological model and a fifth one simulating the urban effect are examined. Two different atmospheric conditions are analyzed; a typical summer and a typical winter pollution episode. The relative importance of chemical and physical processes of the pollution predictions is discussed using process analysis. It is revealed that, for primary pollutants, a local scheme seems more adequate to represent the maximum observed concentrations while, completely different in structure, a non-local scheme reproduces the mean observed values in the basin. Concerning secondary pollutants, peak concentration differences, due to the different PBL schemes, are smoothed out. Nevertheless, the PBL scheme selection shapes the horizontal and the vertical extension of maximum values. The non-local and semi non-local schemes are superior to the others, favouring strong vertical mixing and transport towards the surface. The stronger turbulence accommodated effectively by the semi non-local urban scheme enhances ozone production along the sea-breeze axis and preserves the high ozone concentrations during the nighttime hours in the urban core.

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Section: Ozonementioning

confidence: 77%

“…The more sophisticated non-local turbulent schemes have so far been implemented mainly in one-dimensional chemical models (e.g. Zhang and Rao 1999;Han and Byun 2005;Vautard et al 2007).…”

mentioning

confidence: 99%

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The Role of Planetary Boundary-Layer Parameterizations in the Air Quality of an Urban Area with Complex Topography

Bossioli

Tombrou

Dandou

et al. 2009

Boundary-Layer Meteorol

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“…The Chemistry and Transport Model CHIMERE has been used in numerous studies: daily operational forecast (Rouïl et al, 2009), emission scenario evaluation (Cuvelier et al, 2007), evaluation in extreme events (Vautard et al, 2007), long-term studies (Colette et al, 2011(Colette et al, , 2013Wilson et al, 2012) and inter-comparisons models and ensembles (Solazzo et al, 2012a, b).…”

Section: Training and Validation Data Setsmentioning

confidence: 99%

Using statistical models to explore ensemble uncertainty in climate impact studies: the example of air pollution in Europe

2016

Self Cite

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Abstract. Because of its sensitivity to unfavorable weather patterns, air pollution is sensitive to climate change so that, in the future, a climate penalty could jeopardize the expected efficiency of air pollution mitigation measures. A common method to assess the impact of climate on air quality consists in implementing chemistry-transport models forced by climate projections. However, the computing cost of such methods requires optimizing ensemble exploration techniques. By using a training data set from a deterministic projection of climate and air quality over Europe, we identified the main meteorological drivers of air quality for eight regions in Europe and developed statistical models that could be used to predict air pollutant concentrations. The evolution of the key climate variables driving either particulate or gaseous pollution allows selecting the members of the EuroCordex ensemble of regional climate projections that should be used in priority for future air quality projections (CanESM2/RCA4; CNRM-CM5-LR/RCA4 and CSIRO-Mk3-6-0/RCA4 and MPI-ESM-LR/CCLM following the EuroCordex terminology). After having tested the validity of the statistical model in predictive mode, we can provide ranges of uncertainty attributed to the spread of the regional climate projection ensemble by the end of the century (2071–2100) for the RCP8.5. In the three regions where the statistical model of the impact of climate change on PM2.5 offers satisfactory performances, we find a climate benefit (a decrease of PM2.5 concentrations under future climate) of −1.08 (±0.21), −1.03 (±0.32), −0.83 (±0.14) µg m−3, for respectively Eastern Europe, Mid-Europe and Northern Italy. In the British-Irish Isles, Scandinavia, France, the Iberian Peninsula and the Mediterranean, the statistical model is not considered skillful enough to draw any conclusion for PM2.5. In Eastern Europe, France, the Iberian Peninsula, Mid-Europe and Northern Italy, the statistical model of the impact of climate change on ozone was considered satisfactory and it confirms the climate penalty bearing upon ozone of 10.51 (±3.06), 11.70 (±3.63), 11.53 (±1.55), 9.86 (±4.41), 4.82 (±1.79) µg m−3, respectively. In the British-Irish Isles, Scandinavia and the Mediterranean, the skill of the statistical model was not considered robust enough to draw any conclusion for ozone pollution.

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“…A detailed documentation of the physical and chemical parameterisations used in CHIMERE is available online http://www.lmd.polytechnique.fr/chimere/. Regarding particulate matter, an extensive evaluation of the model at a regional scale can be found in (Vautard et al, 2007) and (Bessagnet et al, 2008). The aerosols species considered by the model are sulphates, nitrates, ammonium, organic aerosols and sea-salt.…”

Section: Meteorology and Chemistry Transport Modellingmentioning

confidence: 99%

Lidar signal simulation for the evaluation of aerosols in chemistry transport models

et al. 2012

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Abstract. We present an adaptable tool, the OPTSIM (OPTical properties SIMulation) software, for the simulation of optical properties and lidar attenuated backscattered profiles (β ) from aerosol concentrations calculated by chemistry transport models (CTM). It was developed to model both Level 1 observations and Level 2 aerosol lidar retrievals in order to compare model results to measurements: the level 2 enables to estimate the main properties of aerosols plume structures, but may be limited due to specific assumptions. The level 1, originally developed for this tool, gives access to more information about aerosols properties (β ) requiring, at the same time, less hypothesis on aerosols types. In addition to an evaluation of the aerosol loading and optical properties, active remote sensing allows the analysis of aerosols' vertical structures. An academic case study for two different species (black carbon and dust) is presented and shows the consistency of the simulator. Illustrations are then given through the analysis of dust events in the Mediterranean region during the summer 2007. These are based on simulations by the CHIMERE regional CTM and observations from the CALIOP space-based lidar, and highlight the potential of this approach to evaluate the concentration, size and vertical structure of the aerosol plumes.

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Boundary layer photochemistry simulated with a two-stream convection scheme

Cited by 11 publications

References 28 publications

The Role of Planetary Boundary-Layer Parameterizations in the Air Quality of an Urban Area with Complex Topography

The Role of Planetary Boundary-Layer Parameterizations in the Air Quality of an Urban Area with Complex Topography

Using statistical models to explore ensemble uncertainty in climate impact studies: the example of air pollution in Europe

Lidar signal simulation for the evaluation of aerosols in chemistry transport models

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