An exploratory performance assessment of the CHIMERE model (version 2017r4) for the northwestern Iberian Peninsula and the summer season

Brands, Swen; Fernández-García, Guillermo; Vivanco, Marta G.; Montecelo, Marcos Tesouro; Fernández, Nuria Gallego; Estévez, Anthony David Saunders; García, Pablo Enrique Carracedo; Venâncio, A.; Costa, Pedro; Tomé, Paula Costa; Otero, Cristina; Macho, María Luz; Taboada, J. J.

doi:10.5194/gmd-13-3947-2020

Cited by 4 publications

(3 citation statements)

References 60 publications

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“…A systematic overestimation of surface ozone concentrations is reported in many CHIMERE studies. For example, at northwestern Iberian Peninsula and during the summer season, CHIMERE overestimated the ozone mean concentrations and underestimated the temporal variability of the daily maximum O 3 concentrations [56]. A specific study for Portugal [55] also reports overestimation of O 3 concentrations, with higher magnitude at suburban stations.…”

Section: Observation Data and Model Validationmentioning

confidence: 94%

Assessing Douro Vineyards Exposure to Tropospheric Ozone

et al. 2021

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Tropospheric ozone (O3) can strongly damage vegetation. Grapevines (Vitis vinifera L.), in particular, have intermediate sensitivity to ozone. Wine production is an important economic activity, as well as a pillar to the cultural identity of several countries in the world. This study aims to evaluate the risk of Douro vineyards exposure to ozone, by estimating its concentration and deposition in the Demarcated Region of Douro in Portugal. Based on an assessment of the climatology of the area, the years 2003 to 2005 were selected among the hottest years of the recent past, and the chemical transport model CHIMERE was used to estimate the three-dimensional field of ozone and its dry deposition over the Douro region with 1 km2 of horizontal resolution. Model results were validated by comparison with measured data from the European air quality database (AirBase). The exposure indicator AOT40 (accumulated concentration of ozone above 40 ppb) was calculated and an exposure–response function was applied to determine the grapevine risk to ozone exposure. The target value for the protection of vegetation established by the Air Quality Framework Directive was exceeded on most of the Douro region, especially over the Baixo Corgo and Cima Corgo sub-regions. The results of the exposure–response functions suggest that the productivity loss can reach 27% and that the sugar content of the grapes could be reduced by 32%, but these values are affected by the inherent uncertainty of the used methodology.

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Section: Observation Data and Model Validationmentioning

confidence: 94%

Assessing Douro Vineyards Exposure to Tropospheric Ozone

et al. 2021

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“…We evaluate model performance for meteorological variables affecting aerosol and gas chemistry and physics and pollutant concentration fields. For evaluation, both measurements and model simulated variables are composited from a daily mean scale to either monthly or annual mean values following approached developed in studies in other world regions (e.g., AQMEII, 2006; Brands et al., 2020; Solazzo & Galmarini, 2015), with averaging of measurements to the model grid level. Specifically, PM 2.5 chemical composition is used from 11 representative stations from the national observation network of COALESCE (Maheshwarkar et al., 2022), in addition to public data sets representing a large number of pan‐India stations.…”

Section: Methodsmentioning

confidence: 99%

Drivers of PM_2.5 Episodes and Exceedance in India: A Synthesis From the COALESCE Network

Venkataraman,

Anand,

Maji

et al. 2024

JGR Atmospheres

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Emission sources influencing high particulate air pollution levels and related mortality in India have been studied earlier on country‐wide and sub‐national scales. Here, we use novel data sets of emissions (for 2019) and observations created under the Carbonaceous Aerosol Emissions, Source Apportionment, and Climate Impacts network in India (Venkataraman et al., 2020, https://doi.org/10.1175/bams‐d‐19‐0030.1) in WRF‐Chem simulations to evaluate drivers of high PM2.5 levels during episodes and in airsheds with different pollution levels. We identify airsheds in “extreme” (110–140 μg/m3), “severe” (80–110 μg/m3) and “significant” (40–80 μg/m3) exceedance of the Indian annual ambient air quality standard (National Ambient Air Quality Standards [NAAQS]) of 40 μg/m3 for PM2.5. We find that primary organic matter and anthropogenic mineral matter (largely coal fly‐ash) drive high PM2.5 levels, both annually and during high PM2.5 episodes. PM2.5 episodes are driven by organic aerosol in north India (Mohali) in wintertime but are additionally influenced by mineral matter and secondary inorganics in central (Bhopal), south India (Mysuru) and eastern India (Shyamnagar). Across airsheds in exceedance of the NAAQS and during high PM2.5 episodes, primary PM2.5 emissions arise largely from the residential sector (50%–75%). Formal sector emissions (industry, thermal power and transport; 40%–55%) drive airshed and episode scale PM2.5 exceedance in northern and eastern India. Agricultural residue burning emissions predominate (50%–75%) on episode scales, both in northern and central India, but not on annual scales. Interestingly, residential sector emissions strongly influence (60%–90%) airsheds in compliance with the NAAQS (annual mean PM2.5 < 40 μg/m3), implying the need for modern residential energy transitions for the reduction of ambient air pollution across India.

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“…The CHIMERE chemistry transport model v2017 (Mailler et al 2017) was used to evaluate the impacts of the emission reductions. This model has been extensively used in Europe and in particular in Spain (Brands et al 2020;Vivanco et al 2008Vivanco et al , 2009. Four domains were considered for the simulations centred on Madrid, Athens and Paris with horizontal resolutions of 0.27°, 0.09°, 0.03° and 0.01° (respectively named as CHIMCIE27M, CHIMCIE09M, CHIMCIE03M, CHIMCIE01M).…”

Section: Ifs-chimerev2017r4 Operated By Ciematmentioning

confidence: 99%

Assessment of the sensitivity of model responses to urban emission changes in support of emission reduction strategies

Bessagnet,

Cuvelier,

de Meij

et al. 2023

Air Qual Atmos Health

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The sensitivity of air quality model responses to modifications in input data (e.g. emissions, meteorology and boundary conditions) or model configurations is recognized as an important issue for air quality modelling applications in support of air quality plans. In the framework of FAIRMODE (Forum of Air Quality Modelling in Europe, https://fairmode.jrc.ec.europa.eu/) a dedicated air quality modelling exercise has been designed to address this issue. The main goal was to evaluate the magnitude and variability of air quality model responses when studying emission scenarios/projections by assessing the changes of model output in response to emission changes. This work is based on several air quality models that are used to support model users and developers, and, consequently, policy makers. We present the FAIRMODE exercise and the participating models, and provide an analysis of the variability of O3 and PM concentrations due to emission reduction scenarios. The key novel feature, in comparison with other exercises, is that emission reduction strategies in the present work are applied and evaluated at urban scale over a large number of cities using new indicators such as the absolute potential, the relative potential and the absolute potency. The results show that there is a larger variability of concentration changes between models, when the emission reduction scenarios are applied, than for their respective baseline absolute concentrations. For ozone, the variability between models of absolute baseline concentrations is below 10%, while the variability of concentration changes (when emissions are similarly perturbed) exceeds, in some instances 100% or higher during episodes. Combined emission reductions are usually more efficient than the sum of single precursor emission reductions both for O3 and PM. In particular for ozone, model responses, in terms of linearity and additivity, show a clear impact of non-linear chemistry processes. This analysis gives an insight into the impact of model’ sensitivity to emission reductions that may be considered when designing air quality plans and paves the way of more in-depth analysis to disentangle the role of emissions from model formulation for present and future air quality assessments.

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An exploratory performance assessment of the CHIMERE model (version 2017r4) for the northwestern Iberian Peninsula and the summer season

Cited by 4 publications

References 60 publications

Assessing Douro Vineyards Exposure to Tropospheric Ozone

Assessing Douro Vineyards Exposure to Tropospheric Ozone

Drivers of PM_2.5 Episodes and Exceedance in India: A Synthesis From the COALESCE Network

Assessment of the sensitivity of model responses to urban emission changes in support of emission reduction strategies

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An exploratory performance assessment of the CHIMERE model (version 2017r4) for the northwestern Iberian Peninsula and the summer season

Cited by 4 publications

References 60 publications

Assessing Douro Vineyards Exposure to Tropospheric Ozone

Assessing Douro Vineyards Exposure to Tropospheric Ozone

Drivers of PM2.5 Episodes and Exceedance in India: A Synthesis From the COALESCE Network

Assessment of the sensitivity of model responses to urban emission changes in support of emission reduction strategies

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Product

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Drivers of PM_2.5 Episodes and Exceedance in India: A Synthesis From the COALESCE Network