The impact of MM5 and WRF meteorology over complex terrain on CHIMERE model calculations
The objective of this study is to evaluate the impact of meteorological input data on calculated gas and aerosol concentrations. We use two different meteorological models (MM5 and WRF) together with the chemistry transport model CHIMERE. We focus on the Po valley area (Italy) for January and June 2...
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doaj-bcfd5e4597404e0cae7227b6286f966a2020-11-24T23:03:43ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242009-09-019176611663210.5194/acp-9-6611-2009The impact of MM5 and WRF meteorology over complex terrain on CHIMERE model calculationsA. de Meij0A. Gzella1C. Cuvelier2P. Thunis3B. Bessagnet4J. F. Vinuesa5L. Menut6H. M. Kelder7European Commission – DG Joint Research Centre, Institute for Environment and Sustainability, 21020 Ispra, ItalyEuropean Commission – DG Joint Research Centre, Institute for Environment and Sustainability, 21020 Ispra, ItalyEuropean Commission – DG Joint Research Centre, Institute for Environment and Sustainability, 21020 Ispra, ItalyEuropean Commission – DG Joint Research Centre, Institute for Environment and Sustainability, 21020 Ispra, ItalyINERIS, Institut National de l'Environnement industriel et des Risques, Parc Technologique ALATA, 60550 Verneuil-en-Halatte, FranceEuropean Commission – DG Joint Research Centre, Institute for Environment and Sustainability, 21020 Ispra, ItalyLaboratoire de Météorologie Dynamique, Institut Pierre-Simon Laplace, Ecole Polytechnique, Palaiseau, FranceDepartment of Applied Physics, Eindhoven University of Technology, Eindhoven, The NetherlandsThe objective of this study is to evaluate the impact of meteorological input data on calculated gas and aerosol concentrations. We use two different meteorological models (MM5 and WRF) together with the chemistry transport model CHIMERE. We focus on the Po valley area (Italy) for January and June 2005. <br><br> Firstly we evaluate the meteorological parameters with observations. The analysis shows that the performance of both models in calculating surface parameters is similar, however differences are still observed. <br><br> Secondly, we analyze the impact of using MM5 and WRF on calculated PM<sub>10</sub> and O<sub>3</sub> concentrations. In general CHIMERE/MM5 and CHIMERE/WRF underestimate the PMv concentrations for January. The difference in PM<sub>10</sub> concentrations for January between CHIMERE/MM5 and CHIMERE/WRF is around a factor 1.6 (PM<sub>10</sub> higher for CHIMERE/MM5). This difference and the larger underestimation in PM<sub>10</sub> concentrations by CHIMERE/WRF are related to the differences in heat fluxes and the resulting PBL heights calculated by WRF. In general the PBL height by WRF meteorology is a factor 2.8 higher at noon in January than calculated by MM5. This study showed that the difference in microphysics scheme has an impact on the profile of cloud liquid water (CLW) calculated by the meteorological driver and therefore on the production of SO<sub>4</sub> aerosol. <br><br> A sensitivity analysis shows that changing the Noah Land Surface Model (LSM) in our WRF pre-processing for the 5-layer soil temperature model, calculated monthly mean PMv concentrations increase by 30%, due to the change in the heat fluxes and the resulting PBL heights. <br><br> For June, PM<sub>10</sub> calculated concentrations by CHIMERE/MM5 and CHIMERE/WRF are similar and agree with the observations. Calculated O<sub>3</sub> values for June are in general overestimated by a factor 1.3 by CHIMERE/MM5 and CHIMERE/WRF. High temporal correlations are found between modeled and observed O<sub>3</sub> concentrations.http://www.atmos-chem-phys.net/9/6611/2009/acp-9-6611-2009.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
A. de Meij A. Gzella C. Cuvelier P. Thunis B. Bessagnet J. F. Vinuesa L. Menut H. M. Kelder |
spellingShingle |
A. de Meij A. Gzella C. Cuvelier P. Thunis B. Bessagnet J. F. Vinuesa L. Menut H. M. Kelder The impact of MM5 and WRF meteorology over complex terrain on CHIMERE model calculations Atmospheric Chemistry and Physics |
author_facet |
A. de Meij A. Gzella C. Cuvelier P. Thunis B. Bessagnet J. F. Vinuesa L. Menut H. M. Kelder |
author_sort |
A. de Meij |
title |
The impact of MM5 and WRF meteorology over complex terrain on CHIMERE model calculations |
title_short |
The impact of MM5 and WRF meteorology over complex terrain on CHIMERE model calculations |
title_full |
The impact of MM5 and WRF meteorology over complex terrain on CHIMERE model calculations |
title_fullStr |
The impact of MM5 and WRF meteorology over complex terrain on CHIMERE model calculations |
title_full_unstemmed |
The impact of MM5 and WRF meteorology over complex terrain on CHIMERE model calculations |
title_sort |
impact of mm5 and wrf meteorology over complex terrain on chimere model calculations |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2009-09-01 |
description |
The objective of this study is to evaluate the impact of meteorological
input data on calculated gas and aerosol concentrations. We use two
different meteorological models (MM5 and WRF) together with the chemistry
transport model CHIMERE. We focus on the Po valley area (Italy) for January
and June 2005.
<br><br>
Firstly we evaluate the meteorological parameters with observations. The
analysis shows that the performance of both models in calculating surface
parameters is similar, however differences are still observed.
<br><br>
Secondly, we analyze the impact of using MM5 and WRF on calculated PM<sub>10</sub> and
O<sub>3</sub> concentrations. In general CHIMERE/MM5 and CHIMERE/WRF underestimate
the PMv concentrations for January. The difference in PM<sub>10</sub> concentrations
for January between CHIMERE/MM5 and CHIMERE/WRF is around a factor 1.6 (PM<sub>10</sub>
higher for CHIMERE/MM5). This difference and the larger underestimation in
PM<sub>10</sub> concentrations by CHIMERE/WRF are related to the differences in heat
fluxes and the resulting PBL heights calculated by WRF. In general the PBL
height by WRF meteorology is a factor 2.8 higher at noon in January than
calculated by MM5. This study showed that the difference in microphysics
scheme has an impact on the profile of cloud liquid water (CLW) calculated
by the meteorological driver and therefore on the production of SO<sub>4</sub>
aerosol.
<br><br>
A sensitivity analysis shows that changing the Noah Land Surface Model (LSM)
in our WRF pre-processing for the 5-layer soil temperature model,
calculated monthly mean PMv concentrations increase by 30%, due to the
change in the heat fluxes and the resulting PBL heights.
<br><br>
For June, PM<sub>10</sub> calculated concentrations by CHIMERE/MM5 and CHIMERE/WRF are
similar and agree with the observations. Calculated O<sub>3</sub> values for June
are in general overestimated by a factor 1.3 by CHIMERE/MM5 and CHIMERE/WRF.
High temporal correlations are found between modeled and observed O<sub>3</sub>
concentrations. |
url |
http://www.atmos-chem-phys.net/9/6611/2009/acp-9-6611-2009.pdf |
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