The impact of MM5 and WRF meteorology over complex terrain on CHIMERE model calculations

Meij, Alexander de; Gzella, A.; Cuvelier, Cornelis; Thunis, Philippe; Bessagnet, Bertrand; Vinuesa, J.-F.; Menut, Laurent; Kelder, H.

doi:10.5194/acp-9-6611-2009

Cited by 62 publications

(27 citation statements)

References 58 publications

(54 reference statements)

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“…The correlation coefficients are greater than 0.6 between simulated and observed variables except for precipitation at the six sites in the YRDR. The uncertainties in many schemes like convective parameterization (Han et al, 2007;Meij et al, 2009) and initial conditions (Zhang and Hou, 2009) made the prediction of precipitation difficult. Besides, there was not intense rain during the episode and the occurrence and intensity of precipitation were well reproduced although there was a bias for the precipitating time.…”

Section: Model Evaluationmentioning

confidence: 99%

A Modeling Study of a Typical Winter PM2.5 Pollution Episode in a City in Eastern China

Gao

Zhang

Han

et al. 2014

Aerosol Air Qual. Res.

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A PM 2.5 pollution episode over Hangzhou, China during 8 to 16 December 2011 was simulated using the Models-3 Community Multiscale Air Quality (CMAQ). Relative contributions from local and regional emission sources to the pollution event were also investigated through numerical sensitivity tests. Comparisons between simulations and measurements at six meteorological sites over the Yangtze River Delta Region (YRDR) and four air monitoring stations at Hangzhou were satisfactory. The temporal mean of the PM 2.5 mass concentration in Hangzhou was lower than those at most areas of Jiangsu province and Shanghai during the episode. Process analysis of the four air monitoring stations at Hangzhou shows that emissions and aerosol processes contributed to the primary and secondary PM 2.5 concentrations, with the mean accumulated rates of 1.2-25.5 µg/m 3 /hr and 0.5-1.2 µg/m 3 /hr, respectively. The process of advection also increased the PM 2.5 mass concentration (1.2-3.4 µg/m 3 /hr). Diffusion was the dominant removal process at most air monitoring stations, with the removal rates of 4.1-20.7 µg/m 3 /hr. The dry (-3.0 to -3.6 µg/m 3 /hr) and wet deposition and heterogeneous processes (-0.4 to -1.8 µg/m 3 /hr) contributed to the loss of PM 2.5 . Process analysis also indicates that the maximum concentrations of PM 2.5 that occurred during 13-14 December were mainly due to ineffective removal through diffusion. Results of the sensitivity tests suggest that non-Hangzhou pollutants made significant contributions to the PM 2.5 pollution in Hangzhou, reaching up to 70% during the focal episode. Under certain meteorological conditions, pollutants transported from outside of Hangzhou not only increased the PM 2.5 concentration, but also extended the pollution episode period in Hangzhou by one day. Nevertheless Hangzhou's local emissions were not negligible, because they had important impacts on PM 2.5 peak values.

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Section: Model Evaluationmentioning

confidence: 99%

A Modeling Study of a Typical Winter PM2.5 Pollution Episode in a City in Eastern China

Gao

Zhang

Han

et al. 2014

Aerosol Air Qual. Res.

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“…Smyth et al, 2006;de Meij et al, 2009), no studies have specifically compared the performance of MM5 and WRF driven CMAQ model simulations. This study has two main objectives.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of the Community Multiscale Air Quality (CMAQ) model v4.7 results for the eastern United States to MM5 and WRF meteorological drivers

et al. 2010

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Abstract. This paper presents a comparison of the operational performances of two Community Multiscale Air Quality (CMAQ) model v4.7 simulations that utilize input data from the 5th-generation Mesoscale Model (MM5) and the Weather Research and Forecasting (WRF) meteorological models. Two sets of CMAQ model simulations were performed for January and August 2006. One set utilized MM5 meteorology (MM5-CMAQ) and the other utilized WRF meteorology (WRF-CMAQ), while all other model inputs and options were kept the same. For January, predicted ozone (O 3 ) mixing ratios were higher in the Southeast and lower Mid-west regions in the WRF-CMAQ simulation, resulting in slightly higher bias and error as compared to the MM5-CMAQ simulations. The higher predicted O 3 mixing ratios are attributed to less dry deposition of O 3 in the WRF-CMAQ simulation due to differences in the calculation of the vegetation fraction between the MM5 and WRF models. The WRF-CMAQ results showed better performance for particulate sulfate (SO 2− 4 ), similar performance for nitrate (NO − 3 ), and slightly worse performance for nitric acid (HNO 3 ), total carbon (TC) and total fine particulate (PM 2.5 ) mass than the corresponding MM5-CMAQ results. For August, predictions of O 3 were notably higher in the WRF-CMAQ simulation, particularly in the southern United States, resulting in increased model bias. Concentrations of predicted particulate SO 2− 4 were lower in the region surrounding the Ohio Valley and higher along the Gulf of Mexico in the WRF-CMAQ simulation, contributing to poorer model performance. The primary causes of the differences in the MM5-CMAQ and WRF-CMAQ simulations appear to be due to differences wet deposition was similar for both simulations for January and August.

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“…Les MCT peuvent être « offline » : les champs météorologiques constituent des paramètres d'entrée préalablement déterminés par un modèle indépendant (comme par exemple CHIMERE couplé au modèle météorologique MM5 ou WRF ; de Meij et al, 2009). Le transport est géré par les sorties du modèle météorologique généralement disponibles à des pas de temps de l'ordre de la demi-heure à l'heure.…”

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Regional Modeling of Aerosol Chemical Composition at the Puy de Dôme (France)

Barbet

Deguillaume

Chaumerliac

et al. 2016

Springer Proceedings in Complexity

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RemerciementsCes années de thèse se sont déroulées au sein du Laboratoire de Météorologie Physique dont le directeur était Wolfram Wobrock, puis Joël Van Baelen. Je tiens tout d'abord à les remercier tous deux de m'avoir accueillie au sein de ce laboratoire et ce depuis ma première année de Master.Je souhaite remercier sincèrement mes deux directeurs de thèse, Nadine Chaumerliac et Laurent Deguillaume qui, tout au long de ces années, m'ont suivie et encouragée. Les discussions que nous avons eues et les conseils qu'ils m'ont prodigués se sont toujours révélés fructueux et formateurs. Pour cela, je tiens à leur témoigner ma gratitude et mon respect.

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The impact of MM5 and WRF meteorology over complex terrain on CHIMERE model calculations

Cited by 62 publications

References 58 publications

A Modeling Study of a Typical Winter PM2.5 Pollution Episode in a City in Eastern China

A Modeling Study of a Typical Winter PM2.5 Pollution Episode in a City in Eastern China

Sensitivity of the Community Multiscale Air Quality (CMAQ) model v4.7 results for the eastern United States to MM5 and WRF meteorological drivers

Regional Modeling of Aerosol Chemical Composition at the Puy de Dôme (France)

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