<?xml version="1.0" encoding="utf-8" standalone="no"?>
<!DOCTYPE article SYSTEM "http://www.geosci-model-dev-discuss.net/inc/gmdd/copernicus.dtd">
<article language="en">
	<journal>
		<journal_title>Geoscientific Model Development Discussions</journal_title>
		<journal_url>www.geosci-model-dev-discuss.net</journal_url>
		<issn>1991-9611</issn>
		<eissn>1991-962X</eissn>
		<volume_number>2</volume_number>
		<issue_number>1</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/gmdd-2-639-2009</doi>
	<article_url>http://www.geosci-model-dev-discuss.net/2/639/2009/</article_url>
	<abstract_html>http://www.geosci-model-dev-discuss.net/2/639/2009/gmdd-2-639-2009.html</abstract_html>
	<fulltext_pdf>http://www.geosci-model-dev-discuss.net/2/639/2009/gmdd-2-639-2009.pdf</fulltext_pdf>
	<start_page>639</start_page>
	<end_page>680</end_page>
	<publication_date>2009-06-23</publication_date>
	<article_title content_type="html">Simplified aerosol modeling for variational data assimilation</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>N. Huneeus</name>
			<email>nicolas.huneeus@lsce.ipsl.fr</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>O. Boucher</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>F. Chevallier</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Laboratoire des Sciences du Climat et de l&apos;Environnement, L&apos;Orme de Merisier, Gif sur Yvette, France</affiliation>
		<affiliation numeration="2" content_type="html">Met Office, Hadley Centre, Exeter, UK</affiliation>
	</affiliations>
	<abstract content_type="html">We have developed a simplified aerosol model together with its tangent
linear and adjoint versions for variational assimilation of aerosol optical
depth with the aim to optimize aerosol emissions over the globe. The model
was derived from the general circulation model LMDz; it groups together the
24 aerosol species simulated in LMDz into 4 species, namely gaseous
precursors, fine mode aerosols, coarse mode desert dust and coarse mode sea
salt. The emissions have been kept as in the original model. Modifications,
however, were introduced in the computation of aerosol optical depth and in
the processes of sedimentation, dry and wet deposition and sulfur chemistry
to ensure consistency with the new set of species and their composition.
&lt;br&gt;&lt;br&gt;
The simplified model successfully manages to reproduce the main features of
the aerosol distribution in LMDz. Differences between the original and
simplified models are mainly associated to the new deposition and
sedimentation velocities consistent with the definition of species in the
simplified model and the simplification of the sulfur chemistry.
Furthermore, simulated aerosol optical depth remains within the variability
of AERONET observations for all aerosol types and all sites throughout most
of the year.
&lt;br&gt;&lt;br&gt;
Sensitivity analyses with the tangent linear version show that the
simplified sulfur chemistry is the dominant process responsible for the
strong non-linearity of the model.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Benedetti, A., Morcrette, J.-J., Boucher, O., Dethof, A., Engelen, R. J., Fisher, M., Flentjes, H., Huneeus, N., Jones, L., Kaiser, J. W., Kinne, S., Mangold, A., Razinger, M., Simmons, A. J., and Suttie, M.: Aerosol analysis and forecast in the ECMWF Integrated Forecast System. Part II: Data assimilation, J. Geophys. Res, doi:10.1029/2008JD011115,, in press, 2009. </reference>
		<reference numeration="2" content_type="text"> Boucher, O. and Pham, M.: History of sulfate aerosol radiative forcings, Geophys. Res. Lett, 29(9), 1308, doi:10.1029/2001GL014048, 2002. </reference>
		<reference numeration="3" content_type="text"> Boucher, O., Pham, M., and Venkataram ,C.: Simulation of the atmospheric sulfur cycle in the Laboratoire de Météorologie Dynamique general circulation model: Model description, model evaluation, and global and european budgets, Note Sci. IPSL 23, Inst. Pierre Simon Laplace, 27~pp., Paris, online available at: www.ipsl.jussieu.fr/poles/Modelisation/NotesSciences.htm, 2002. </reference>
		<reference numeration="4" content_type="text"> Chevallier, F., Fisher, M., Peylin, P., Serrar, S., Bousquet, P., Bréon, F.-M., Chédin, A., and Ciais, P.: Inferring CO&lt;sub&gt;2&lt;/sub&gt; sources and sink from satellite observations: Methods and application to TOVS data, J. Geophys. Res., $110$, D24309, doi:10.1029/2005JD006390, 2005. </reference>
		<reference numeration="5" content_type="text"> Chevallier, F., Fortems, A., Bousquet, P., Pison, I., Szopa, S., Devaux, M., and Hauglustaine, D. A.: African CO emissions between years 2000 and 2006 as estimated from MOPITT observations, Biogeosciences, 6, 103–111, 2009. </reference>
		<reference numeration="6" content_type="text"> Cooke, W. F. and Wilson, J. J. N.: A global black carbon aerosol model, J. Geophys. Res., $101$, 19395–19409, 1996. </reference>
		<reference numeration="7" content_type="text"> Cooke, W. F., Liousse, C., Cachier, H., and Feichter, J.: Construction of a 1&amp;deg;$\times$1&amp;deg; fossil fuel emission data set for carbonaceous aerosol and implementation and radiative impact in the ECHAM4 model, J. Geophys. Res., $104$, 22137–22162, 1999. </reference>
		<reference numeration="8" content_type="text"> Deuzé, J.-L., Goloub, P., Herman, M., Marchand, A., Perry, G., Tanré, D., and Susana, S.: Estimate of the aerosols properties over the ocean with POLDER, J. Geophys Res, $105$, 15329–15346, 2000. </reference>
		<reference numeration="9" content_type="text"> Deuzé, J.-L., Bréon F.-M., Devaux C., Goloub P., Herman~ M., Lafrance, B., Maignan, F., Marchand, A., Nadaf, L, Perry, G., and Tanré, D.: Remote sensing of aerosols over land surfaces from POLDER-ADEOS 1 Polarized measurements, J. Geophys. Res., $106$, 4913–4926, 2001. </reference>
		<reference numeration="10" content_type="text"> Dubovik, O., Lapyonok, T., Kaufman, Y. J., Chin, M., Ginoux, P., Kahn, R. A., and Sinyuk, A.: Retrieving global aerosol sources from satellites using inverse modeling, Atmos. Chem. Phys., 8, 209–250, 2008. </reference>
		<reference numeration="11" content_type="text"> Elbern, H., Strunk, A., Schmidt, H., and Talagrand, O.: Emission rate and chemical state estimation by 4-dimensional variational inversion, Atmos. Chem. Phys., 7, 3749–3769, 2007. </reference>
		<reference numeration="12" content_type="text"> Forster, P., Ramaswamy, V., Artaxo, P., Bernsten, T., Betts, R., Fahey, D. W., Haywood, J., Lean, J., Lowe, D. C., Myhre, G., Nganga, J., Prinn, R., Raga, G., Schulz, M., and van Dorland, R.: Changes in Atmmospheric Constituents and in Radiative Forcing, in: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovenmental Panel on Climate Change, edited by: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M., and Miller, H. L., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2007. </reference>
		<reference numeration="13" content_type="text"> Guelle, W., Balkanski, Y. J., Schulz, M., Marticorena, B., Bergametti, H., Moulin, C., Arimoto, R., and Perry, K. D.: Modeling the atmospheric distribution of mineral aerosol: Comparisons with ground measurements and satellite observations for yearly and synoptic timescales over the North Atlantic, J. Geophys. Res., $105$, 1997–2012, 2000. </reference>
		<reference numeration="14" content_type="text"> Hakami, A., Henze, D. K., Seinfeld, J. H., Chai, T., Tang, Y., Carmichael, G. R., and Sandu, A.: Adjoint inverse modeling of black carbon during Asian Pacific Regional Aerosol Characterization experiment, J. Geophys. Res., $110$, D14301, doi:10.1029/2004JD005671, 2005. </reference>
		<reference numeration="15" content_type="text"> Hasco\&quot;et, L. and Pascual, V.: TAPENADE 2.1 user&apos;s guide, Rapport Technique No 3000, Institut National de Recherche en Informatique et en Automatique (INRIA), 78~pp., 2004. </reference>
		<reference numeration="16" content_type="text"> Hasco\&quot;et, L.: TAPENADE: A tool for automatic differentiation for programs, European congress on computational methods in applied sciences and engineering, ECCOMAS, 14~pp., 2004. </reference>
		<reference numeration="17" content_type="text"> Holben, B. N., Eck, T. F., Slutsker, I., Tanré, D., Buis, J.-P., Setzer, A., Vermote, E., Reagan, J. A., Kaufman, Y. J., Nakajima, T., Lavenu, F., Jankowiak, I., and Smirnov, A.: AERONET – A federated instrument network and data archive for aerosol characterization, Remote Sens. Environ., $66$, 1–13, 1998. </reference>
		<reference numeration="18" content_type="text"> Kopacz, M., Jacob, D. J., Henze, D. K., Heald, C. L., Streets, D. G., and Zhang, Q.: A comparison of analytical and adjoint Bayesian inversion methods for constraining Asian sources of CO using satellite (MOPITT) measurements of CO columns, J. Geophys. Res., 114, D04305, doi:0.1029/2007JD009264, 2009. </reference>
		<reference numeration="19" content_type="text"> Lorenc, A. C., Ballard, S. P., Bell, R. S., Ingleby, N. B., Andrews,~P. L. F., Barker, D. M., Bray, J. R., Clayton, A. M., Dalby, T., Li, D., Payne, T. J. and Saunders, F. W.: The Met. Office global three-dimensionanl variational data assimilation scheme, Q. J. Roy. Meteorol. Soc., 126, 2991–3012, 2000. </reference>
		<reference numeration="20" content_type="text"> Ma, X., von Salzen, K., and Li, J.: Modelling sea salt aerosol and its direct and indirect effects on climate, Atmos. Chem. Phys., 8, 1311–1327, 2008. </reference>
		<reference numeration="21" content_type="text"> Meirink, J. F., Bergamashi, P., Frankenberger, C., et al.: Four-dimensional variational data assimilation for inverse modelling of atmospheric methane emissions: Analysis of SCIAMACHY observations, J. Geophys. Res., 113, D17301, doi:10.1029/2007JD009740, 2008. </reference>
		<reference numeration="22" content_type="text"> Monahan, E. C., Spliel, D. E., and Davidson, K. L.: A models of marine aerosol generation via whitecaps and wave disruption, in oceanic whitecaps, edited by: Monahan, E. C. and Mac Niocail, G., Springer, New York, 167–174, 1986. </reference>
		<reference numeration="23" content_type="text"> Morcrette, J.-J., Boucher, O., Jones, L., Salmond, D., Bechtold, P., Beljaars, A., Benedetti, A., Bonet, A., Kaiser, J. W., Razinger, M., Schulz, M., Serrar, S., Simmons, A. J., Sofiev, M., Suttie, M., Tompkins, A. M., and Untch, A.: Aerosol analysis and forecast in the ECMWF Integrated Forecast System: Forward modelling, J. Geophys. Res., 114, D06206, doi:10.1029/2008JD011235, 2009. </reference>
		<reference numeration="24" content_type="text"> Olivier, J. G. J. and Berdowski, J. J. M.: Global emissions sources and sinks, The Climate System, edited by: Berdowski, J., Guicherit, R., and Heij, B. J., A.A. Balkerna, Brookfield, Vt, 33–78, 2001. </reference>
		<reference numeration="25" content_type="text"> Prospero, J. M.: The atmospheric transport of particles to the ocean, in: Particle Flux in the Ocean, edited by: Ittekott, V., Schaeffer, P., Honjo, S., and Depetris, P. J., Wiley, New York, 1996. </reference>
		<reference numeration="26" content_type="text"> Rabier, F., Järvinen, H., Klinker, E., Mahfouf, J.-F., and Simmons, A.: The ECMWF operational implementation of four-dimensional variational data assimilation. I: Experimental results with simplified physics, Q. J. Roy. Meteorol. Soc., 126, 1143–1170, 2000. </reference>
		<reference numeration="27" content_type="text"> Rabier, F.: Overview of global data assimilation developments in numerical weather-prediction centres, Q. J. Roy. Meteorol. Soc., 131, 3215–3233, 2005. </reference>
		<reference numeration="28" content_type="text"> Remer, L. A., Kaufman, Y. J., Tanré, D., Mattoo, S., Chu, D. A., Martins, J. V., Li, R.-R., Ichoku, C., Levy, R. C., Kleidman, R. G., Eck, T. F., Vermote, E., and Holbern, B., The MODIS aerosol algorithm, products and validation, J. Atmos. Sci., 62, 947–973, 2005. </reference>
		<reference numeration="29" content_type="text"> Reddy, M. S. and Boucher, O.: A study of the global cycle of carbonaceous aerosols in the LMDZT general circulation model, J. Geophys. Res., $109$, D14202, doi:10.1029/2003JD004048, 2004. </reference>
		<reference numeration="30" content_type="text"> Reddy, M. S., Boucher, O., Bellouin, N., Schulz, M., Balkanski, Y. Dufresne, J.-L., and Pham, M.: Estimates of global multicomponent aerosol optical depth and direct radiative perturbation in the Laboratoire de Météorologie Dynamique general circulation model, J. Geophys. Res., $110$, D10216, doi:10.1029/2004JD004757, 2005. </reference>
		<reference numeration="31" content_type="text"> Sandu, A., Liao, W., Carmichael, G. R., Henze, D. K., and Seinfeld, J. H.: Inverse modeling of aerosol dynamics using adjoints: theoretical and numerical considerations, Aerosol Sci. Tech., $39$, 677–694, 2005. </reference>
		<reference numeration="32" content_type="text"> Schulz, M., Balkanski, Y., Dulac, F., and Guelle, W.: Role of aerosol size distribution and source location in a three-dimensional simulation of a Saharan dust episode tested against satellite-derived optical thickness, J. Geophys. Res., $103$, 10579–10592, 1998. </reference>
		<reference numeration="33" content_type="text"> Stavrakou, T. and Müller, J.-F.: Grid-based versus big region approach for inverting CO emissions using Measurement of Pollution in the Troposphere (MOPITT) data, J. Geophys. Res., 111, D15304, doi:10.1029/2005JD006896, 2006. </reference>
		<reference numeration="34" content_type="text"> Tanaka, T. Y. and Chiba, M.: A numerical Study of the contributions of dust source regions to the global budget, Global Planet. Change, $52$, 88–104, 2006. </reference>
		<reference numeration="35" content_type="text"> Tegen, I.: Modeling the mineral dust aerosol cycle in the climate system, Quaternary Sci. Rev., $22$, 1821–1834, 2003. </reference>
		<reference numeration="36" content_type="text"> Textor, C., Schulz, M., Guibert, S., Kinne, S., Balkanski, Y., Bauer, S., Berntsen, T., Berglen, T., Boucher, O., Chin, M., Dentener, F., Diehl, T., Easter, R., Feichter, H., Fillmore, D., Ghan, S., Ginoux, P., Gong, S., Grini, A., Hendricks, J., Horowitz, L., Huang, P., Isaksen, I., Iversen, I., Kloster, S., Koch, D., Kirkev&amp;aring;g, A., Kristjansson, J. E., Krol, M., Lauer, A., Lamarque, J. F., Liu, X., Montanaro, V., Myhre, G., Penner, J., Pitari, G., Reddy, S., Seland, Ø., Stier, P., Takemura, T., and Tie, X.: Analysis and quantification of the diversities of aerosol life cycles within AeroCom, Atmos. Chem. Phys., 6, 1777–1813, 2006. </reference>
		<reference numeration="37" content_type="text"> Trémolet, Y.: Diagnostics of linear and incremental approximation in 4D-Var, Q. J. Roy. Meteorol. Soc., 130, 2233–2251, 2004. </reference>
		<reference numeration="38" content_type="text"> Viskari, T., Järvinen, H., Antilla, T., Kerminen, V.-M., Lehtinen, K. E. J., Korhonen, H., Sihto, S.-L., and Kumala, M.: Duration of the tangent-linear regime in sectional multi-component aerosol dynamics, J. Aerosol Sci., $39$, 723–736, 2008. </reference>
		<reference numeration="39" content_type="text"> Yumimoto, K., Uno, I., Sugimoto, N., Shimizu, A., and Satake, S.: Adjoint inverse modeling of dust emission and transport over East Asia, Geophys. Res Lett., $34$, L08806, doi:10.1029/2006GL028551, 2007. </reference>
		<reference numeration="40" content_type="text"> Yumimoto, K., Uno, I., Sugimoto, N., Shimizu, A., Liu, Z., and Winker, D. M.: Adjoint inversion modeling of Asian dust emission using lidar observations, Atmos. Chem. Phys., 8, 2869–2884, 2008. </reference>
		<reference numeration="41" content_type="text"> Zhang, J., Reid, J. S., Westphal, D. L., Baker, N. L., and Hyer, E. J.: A system for operational aerosol optical depth data assimilation over global oceans, J. Geophys. Res., $113$, D10208, doi:10.1029/2007JD009065, 2008. </reference>
	</references>
</article>
