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Nudging Technique for Scale Bridging in Air Quality/Climate Atmospheric Composition Modelling : Volume 11, Issue 6 (20/06/2011)

By Maurizi, A.

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Book Id: WPLBN0003986032
Format Type: PDF Article :
File Size: Pages 23
Reproduction Date: 2015

Title: Nudging Technique for Scale Bridging in Air Quality/Climate Atmospheric Composition Modelling : Volume 11, Issue 6 (20/06/2011)  
Author: Maurizi, A.
Volume: Vol. 11, Issue 6
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2011
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Description
Description: Istituto di Scienze dell'Atmosfera e del Clima, Consiglio Nazionale delle Ricerche, 40129 Bologna, Italy. The interaction between air quality and climate involves dynamical scales that cover an immensely wide range. Bridging these scales in numerical simulations is fundamental in studies devoted to megacity/hot-spot impacts on climate. The nudging technique is proposed as a bridging method that can couple different models at different scales.

Here, nudging is used to force low resolution chemical composition models using a high resolution run on critical areas. A one-year numerical experiment focused on the Po Valley hot spot is performed using the BOLCHEM model to asses the method.

The results show that the model response is stable to perturbation induced by the nudging and that, if a high resolution run is taken as a reference, there is an increase in model skills of low resolution run when the technique is applied. This improvement depends on the species and the season. The effect spreads outside the forcing area and remains noticeable over an extension about 9 times larger.


Summary
Nudging technique for scale bridging in air quality/climate atmospheric composition modelling

Excerpt
Davolio, S. and Buzzi, A.: A {N}udging {S}cheme for the {A}ssimilation of {P}recipitation {D}ata into a {M}esoscale {M}odel, Weather Forecast., 19, 855–871, 2004.; de Meij, A., Gzella, A., Cuvelier, C., Thunis, P., Bessagnet, B., Vinuesa, J. F., Menut, L., and Kelder, H. M.: The impact of MM5 and WRF meteorology over complex terrain on CHIMERE model calculations, Atmos. Chem. Phys., 9, 6611–6632, doi:10.5194/acp-9-6611-2009, 2009.; Haase, G., Crewell, S., and Wergen, W.: Assimilation of {R}adar {D}ata in {M}esoscale {M}odels: {P}hysical {I}nitialization and {L}atent {H}eat {N}udging, Phys. Chem. Earth, 25, 1237–1242, 2000.; Harris, L. M. and Durran, D. R.: An {I}dealized {C}omparison of {O}ne-{W}ay and {T}wo-{W}ay {G}rid {N}esting, Mon. Weather Rev., 138, 2174–2187, 2010.; Huijnen, V., Eskes, H. J., Poupkou, A., Elbern, H., Boersma, K. F., Foret, G., Sofiev, M., Valdebenito, A., Flemming, J., Stein, O., Gross, A., Robertson, L., D'Isidoro, M., Kioutsioukis, I., Friese, E., Amstrup, B., Bergstrom, R., Strunk, A., Vira, J., Zyryanov, D., Maurizi, A., Melas, D., Peuch, V.-H., and Zerefos, C.: Comparison of OMI NO2 tropospheric columns with an ensemble of global and European regional air quality models, Atmos. Chem. Phys., 10, 3273–3296, doi:10.5194/acp-10-3273-2010, 2010.; Kim, Y., Fu, J. S., and Miller, T. L.: Improving ozone modeling in complex terrain at a fine grid resolution: P}art {I e examination of analysis nudging and all PBL schemes associated with {LSM}s in meteorological model, Atmos. Environ., 44, 523–532, 2010.; Mass, C. F., Ovens, D., Westrick, K., and Colle, B. A.: Does increasing horizontal resolution produce more skillful forecasts?, B. Am. Meteorol. Soc., 407–430, 2002.; Mircea, M., D'Isidoro, M., Maurizi, A., Vitali, L., Monforti, F., Zanini, G., and Tampieri, F.: A comprehensive performance evaluation of the air quality model BOLCHEM to reproduce the ozone concentrations over Italy, Atmos. Environ., 42, 1169–1185, 2008.; Misenis, C. and Zhang, Y.: An examination of sensitivity of {WRF}/{C}hem predictions to physical parameterizations, horizontal grid spacing, and nesting options, Atmos. Res., 97, 315–334, 2010.; Moeng, C., Dudhia, J., Klemp, J., and Sullivan, P.: Examining T}wo-{W}ay {G}rid {N}esting for {L}arge {E}ddy {S}imulation of the {PBL {U}sing the WRF Model, Mon. Weather Rev., 135, 2295–2311, 2007.; Struzewska, J. and Kaminski, J. W.: Formation and transport of photooxidants over Europe during the July 2006 heat wave observations and GEM-AQ model simulations, Atmos. Chem. Phys., 8, 721–736, doi:10.5194/acp-8-721-2008, 2008.; Taylor, K. E.: Summarizing multiple aspects of model performance in a single diagram, J. Geophys. Res., 106, 7183–7192, 2001.; Valari, M. and Menut, L.: Does an Increase in Air Quality Models' Resolution Bring Surface Ozone Concentrations Closer to Reality?, J. Atmos. Ocean. Tech., 25, 1955–1968, 2008.

 

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