ENSEMBLE and AMET: Two systems and approaches to a harmonized, simplified and efficient facility for air quality models development and evaluation

Galmarini, Stefano; Bianconi, Roberto; Appel, Wyat; Solazzo, Efisio; Mosca, Sonia; Grossi, P.; Moran, Michael D.; Schere, Kenneth L.; Rao, S. Trivikrama

doi:10.1016/j.atmosenv.2011.08.076

Cited by 53 publications

(34 citation statements)

References 14 publications

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“…Results have been compared to observations by means of the ENSEMBLE system (http://ensemble2.jrc.ec.europa.eu/), a webbased platform for the inter-comparison and evaluation of atmospheric chemistry transport models (Bianconi et al, 2004;Galmarini et al, 2012).…”

Section: Resultsmentioning

confidence: 99%

WRF-Chem model sensitivity to chemical mechanisms choice in reconstructing aerosol optical properties

Balzarini

Pirovano

Honzak

et al. 2015

Atmospheric Environment

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Section: Resultsmentioning

confidence: 99%

WRF-Chem model sensitivity to chemical mechanisms choice in reconstructing aerosol optical properties

Balzarini

Pirovano

Honzak

et al. 2015

Atmospheric Environment

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“…Model output was generated in several different ways and submitted to the ENSEMBLE web-based evaluation system (Bianconi et al, 2004;Galmarini et al, 2012) hosted by the Joint Research Centre where also all observation data required for the comparative analysis were stored. Model output was generated as hourly gridded fields on a common grid of 0.25 Â 0.25 resolution covering either Europe or North America, as hourly time series at prescribed measurement station locations (receptor points), and as vertical profiles above a few selected sites.…”

Section: Quantitative Model Evaluationmentioning

confidence: 99%

Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2

Brunner

Savage

Jorba

et al. 2015

Atmospheric Environment

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Date of Acceptance: 12/12/2014 Copyright The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/)Air pollution simulations critically depend on the quality of the underlying meteorology. In phase 2 of the Air Quality Model Evaluation International Initiative (AQMEII-2), thirteen modeling groups from Europe and four groups from North America operating eight different regional coupled chemistry and meteorology models participated in a coordinated model evaluation exercise. Each group simulated the year 2010 for a domain covering either Europe or North America or both. Here were present an operational analysis of model performance with respect to key meteorological variables relevant for atmospheric chemistry processes and air quality. These parameters include temperature and wind speed at the surface and in the vertical profile, incoming solar radiation at the ground, precipitation, and planetary boundary layer heights. A similar analysis was performed during AQMEII phase 1 (Vautard etal., 2012) for offline air quality models not directly coupled to the meteorological model core as the model systems investigated here. Similar to phase 1, we found significant overpredictions of 10-m wind speeds by most models, more pronounced during night than during daytime. The seasonal evolution of temperature was well captured with monthly mean biases below 2K over all domains. Solar incoming radiation, precipitation and PBL heights, on the other hand, showed significant spread between models and observations suggesting that major challenges still remain in the simulation of meteorological parameters relevant for air quality and for chemistry-climate interactions at the regional scale

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“…The evaluation of the model results through comparison with measurement and the analysis of the variables related to the climate-chemistry-aerosol-cloud-radiation feedback effects have been developed using the ENSEMBLE system (Bianconi et al, 2004;Galmarini et al, 2012). It is a web-based platform for model intercomparison and multi-model ensemble analysis that has been in use since 2000 for emergency response application at the Joint Research Center in Ispra (Italy).…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of feedback effects in CBMZ/MOSAIC chemical mechanism

José

Pérez

Balzarini

et al. 2015

Atmospheric Environment

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a bstr a ctTo investigate the impact of the aerosol effects on meteorological variables and pollutant concentrations two simulations with the WRF-Chem model have been performed over Europe for year 2010. We have performed a baseline simulation without any feedback effects and a second simulation including the direct as well as the indirect aerosol effect. The paper describes the full configuration of the model, the simulation design, special impacts and evaluation. Although low aerosol particle concentrations are detected, the inclusion of the feedback effects results in an increase of solar radiation at the surface over cloudy areas (North-West, including the Atlantic) and decrease over more sunny locations (SouthEast). Aerosol effects produce an increase of the water vapor and decrease the planet boundary layer height over the whole domain except in the Sahara area, where the maximum particle concentrations are detected. Significant ozone concentrations are found over the Mediterranean area. Simulated feedback effects between aerosol concentrations and meteorological variables and on pollutant distributions strongly depend on the aerosol concentrations and the clouds. Further investigations are necessary with higher aerosol particle concentrations. WRF-Chem variables are evaluated using available hourly ob-servations in terms of performance statistics. Standardized observations from the ENSEMBLE system webinterface were used. The research was developed under the second phase of Air Quality Model Evaluation International Initiative (AQMEII). WRF-Chem demonstrates its capability in capturing tem-poral and spatial variations of the major meteorological variables and pollutants, except the wind speed over complex terrain. The wind speed bias may affect the accuracy in the chemical predictions (NO2, SO2). The analysis of the correlations between simulated data sets and observational data sets indicates that the simulation with aerosol effects performs slightly better. These results indicate potential importance of the aerosol feedback effects and an urgent need to further improve the representations in current atmospheric models to reduce uncertainties at all scales.

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ENSEMBLE and AMET: Two systems and approaches to a harmonized, simplified and efficient facility for air quality models development and evaluation

Cited by 53 publications

References 14 publications

WRF-Chem model sensitivity to chemical mechanisms choice in reconstructing aerosol optical properties

WRF-Chem model sensitivity to chemical mechanisms choice in reconstructing aerosol optical properties

Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2

Sensitivity of feedback effects in CBMZ/MOSAIC chemical mechanism

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