Simplified aerosol modeling for variational data assimilation

Geoscientific Model Development

Volumn 2, Issue 2, 2009, Pages 213-229

  Huneeus, N ^a   Boucher, O ^b   Chevallier, F ^a  

^a LABORATOIRE DES SCIENCES DU CLIMAT ET DE L ENVIRONNEMENT   (France)

^b MET OFFICE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL ANALYSIS; DUST; OPTICAL PROPERTIES; SEDIMENTATION; SENSITIVITY ANALYSIS;

AEROSOL DISTRIBUTION; AEROSOL OPTICAL DEPTHS; AEROSOL VARIABILITY; DRY AND WET DEPOSITIONS; GASEOUS PRECURSORS; GENERAL CIRCULATION MODEL; SEDIMENTATION VELOCITIES; VARIATIONAL DATA ASSIMILATION;

AEROSOLS;

AERONET; AEROSOL COMPOSITION; ATMOSPHERIC GENERAL CIRCULATION MODEL; DATA ASSIMILATION; DESERT SOIL; DUST; INDUSTRIAL EMISSION; NONLINEARITY; OPTICAL DEPTH; SULFUR; WET DEPOSITION;

EID: 79951503969     PISSN: 1991959X     EISSN: 19919603     Source Type: Journal    
DOI: 10.5194/gmd-2-213-2009     Document Type: Article

References (41)

1. 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., Suttie, M.: Aerosol analysis and forecast in the European Centre for Medium-RangeWeather Forecasts Integrated Forecast System: 2: Data assimilation, J. Geophys. Res., 114, D13205, doi:10.1029/2008JD011115, 2009.
2. Boucher, O., Pham, M.: History of sulphate aerosol radiative forcings, Geophys. Res. Lett., 29(9), 1308, doi:10.1029/2001GL014048, 2002.
3. Boucher, O., Pham, M., Venkataram, C.: Simulation of the atmospheric sulphur cycle in the Laboratoire de Méteórologie Dynamique general circulation model: Model description, model evaluation, global and european budgets, Note Sci. IPSL 23, 27 pp., Inst. Pierre Simon Laplace, Paris, available at http://www. ipsl.jussieu.fr/poles/Modelisation/NotesSciences.htm, 2002.
4. Chevallier, F., Fisher, M., Peylin, P., Serrar, S., Bousquet, P., Breón, F.-M., Chédin, A., Ciais, P.: Inferring CO2 sources and sink from satellite observations: Methods and application to TOVS data, J. Geophys. Res., 110, D24309, doi:10.1029/2005JD006390, 2005.
5. Chevallier, F., Fortems, A., Bousquet, P., Pison, I., Szopa, S., Devaux, M., Hauglustaine, D. A.: African CO emissions between years 2000 and 2006 as estimated from MOPITT observa tions, Biogeosciences, 6, 103-111, 2009, http://www.biogeosciences.net/6/103/2009/.
6. Cooke, W. F., Wilson, J. J. N.: A global black carbon aerosol model, J. Geophys. Res., 101, 19395-19409, 1996.
7. Cooke, W. F., C., Liousse, H., Cachier, J. Feichter, : Construction of a 1-×1-fossil fuel emission data set for carbonaceous aerosol and implementation and radiative impact in the ECHAM4 model, J. Geophys. Res., 104, 22137-22162, 1999.
8. Deuzé, J.-L., Goloub, P., Herman, M., Marchand, A., Perry, G., Tanré, D., Susana, S.: Estimate of the aerosols properties over the ocean with POLDER, J. Geophys. Res., 105, 15329-15346, 2000.
9. Deuzé, J.-L., Breón, F.-M., Devaux, C., Goloub, P., Herman, M., Lafrance, B., Maignan, F., Marchand, A., Nadaf, L., Perry, G., Tanré, D.: Remote sensing of aerosols over land surfaces from POLDER-ADEOS 1 Polarized measurements, J. Geophys. Res., 106, 4913-4926, 2001.
10. Dubovik, O., Lapyonok, T., Kaufman, Y. J., Chin, M., Ginoux, P., Kahn, R. A., Sinyuk, A.: Retrieving global aerosol sources from satellites using inverse modeling, Atmos. Chem. Phys., 8, 209-250, 2008, http://www.atmos-chem-phys.net/8/209/2008/.
11. Elbern, H., Strunk, A., Schmidt, H., Talagrand, O.: Emission rate and chemical state estimation by 4-dimensional variational inversion, Atmos. Chem. Phys., 7, 3749-3769, 2007, http://www.atmos-chem-phys.net/7/3749/2007/.
12. 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., 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., Miller, H. L., Cambridge University Press, Cambridge, UK, New York, NY, USA, 2007.
13. Guelle, W., Balkanski, Y. J., Schulz, M., Marticorena, B., Bergametti, H., Moulin, C., Arimoto, R., 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.
14. Hakami, A., D. K., Henze, J. H., Seinfeld, T., Chai, Y., Tang, G. R., Carmichael, A. Sandu, : Adjoint inverse modeling of black carbon during Asian Pacific Regional Aerosol Characterization experiment, J. Geophys. Res., 110, D14301, doi:10.1029/2004JD005671, 2005.
15. Hascoët, L., Pascual, V.: TAPENADE 2.1 user's guide, Rapport Technique Nr. 3000, Institut National de Recherche en Informatique et en Automatique (INRIA), 78 pp., 2004.
16. Hascoët, L.: TAPENADE: A tool for automatic differentiation for programs, European congress on computational methods in applied sciences and engineering, ECCOMAS, 14 pp., 2004.
17. Henze, D. K., Seinfeld, J. H., Liao, W., Sandu, A., Carmichael, G. R.: Inverse modelling of aerosol dynamics: Condensation growth, J. Geophys. Res.-Atmos., 109, D14201, doi:10.1029/2004JD004593, 2004.
18. Henze, D. K., Seinfeld, J. H., Shindell, D. T.: Inverse modeling and mapping US air quality influences of inorganic PM2.5 precursor emissions using the adjoint of GEOS-Chem, Atmos. Chem. Phys., 9, 5877-5903, 2009, http://www.atmos-chem-phys.net/9/5877/2009/.
19. 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., Smirnov, A.: AERONET-A federated instrument network and data archive for aerosol characterization, Remote Sens. Environ., 66, 1-13, 1998.
20. Ide, K., Courtier, P., Ghil, M., Lorenc, A. C.: Unified notation for data assimilation : Operational, sequential and variational, J. Meteorol. Soc. Jpn., 75(1B), 181-189, 1997.
21. Kopacz, M., Jacob, D. J., Henze, D. K., Heald, C. L., Streets, D. G., 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.
22. Ma, X., von Salzen, K., Li, J.: Modelling sea salt aerosol and its direct and indirect effects on climate, Atmos. Chem. Phys., 8, 1311-1327, 2008, http://www.atmos-chem-phys.net/8/1311/2008/.
23. Meirink, J. F., Bergamaschi, P., Frankenberg, C., et al.: Fourdimensional variational data assimilation for inverse modelling of atmospheric methane emissions: Analysis of SCIAMACHY observations, J. Geophys. Res., 113, D17301, doi:10.1029/2007JD009740, 2008.
24. Monahan, E. C., Spliel, D. E., Davidson, K. L.: A models of marine aerosol generation via whitecaps and wave disruption, in oceanic whitecaps, edited by: Monahan, E. C., Mac Niocail, G., Springer, New York, 167-174, 1986.
25. 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., Untch, A.: Aerosol analysis and forecast in the ECMWF Integrated Forecast System: Forward modelling, J. Geophys. Res., 114, D06206, doi:10.1029/2008JD011235, 2009.
26. Olivier, J. G. J., Berdowski, J. J. M.: Global emissions sources and sinks, in: The Climate System, edited by: Berdowski, J., Guicherit, R., Heij, B. J., A.A. Balkerna, Brookfield, Vt, 33-78, 2001.
27. 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., Depetris, P. J., Wiley, New York, 1996.
28. Reddy, M. S., 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.
29. Reddy, M. S., Boucher, O., Bellouin, N., Schulz, M., Balkanski, Y., Dufresne, J.-L., Pham, M.: Estimates of global multicomponent aerosol optical depth and direct radiative perturbation in the Laboratoire de Méteórologie Dynamique general circulation model, J. Geophys. Res., 110, D10216, doi:10.1029/2004JD004757, 2005.
30. 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., Holben, B. N.: The MODIS aerosol algorithm, products and validation, J. Atmos. Sci., 62, 947-973, 2005.
31. Robertson, L., Langner, J.: Source function estimate by means of variational data assimilation applied to the ETEX-I tracer ex-periment, Atmos. Environ., 32, 4219-4225, 1998.
32. Sandu, A., Liao, W., Carmichael, G. R., Henze, D. K., Seinfeld, J. H.: Inverse modeling of aerosol dynamics using adjoints: Theoretical and numerical considerations, Aerosol Sci. Tech., 39, 677-694, 2005.
33. Schulz, M., Balkanski, Y., Dulac, F., Guelle, W.: Role of aerosol size distribution and source location in a threedimensional simulation of a Saharan dust episode tested against satellite-derived optical thickness, J. Geophys. Res., 103, 10579-10592, 1998.
34. Stavrakou, T., 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.
35. Tanaka, T. Y., Chiba, M.: A numerical Study of the contributions of dust source regions to the global budget, Global Planet. Change, 52, 88-104, 2006.
36. Tegen, I.: Modeling the mineral dust aerosol cycle in the climate system, Quaternary Sci. Rev., 22, 1821-1834, 2003.
37. Textor, C., Schulz, M., Guilbert, S., et al.: Analysis and quantification of the diversities of aerosol life cycles within AeroCom, Atmos. Chem. Phys., 6, 1777-1813, 2006, http://www.atmos-chem-phys.net/6/1777/2006/.
38. Trémolet, Y.: Diagnostics of linear and incremental approximation in 4D-Var, Q. J. Roy. Meteor. Soc., 130, 2233-2251, 2004.
39. Yumimoto, K., Uno, I., Sugimoto, N., Shimizu, A., Satake, S.: Adjoint inverse modeling of dust emission and transport over East Asia, Geophys. Res. Lett., 34, L08806, doi:10.1029/2006GL028551, 2007.
40. Yumimoto, K., Uno, I., Sugimoto, N., Shimizu, A., Liu, Z., Winker, D. M.: Adjoint inversion modeling of Asian dust emission using lidar observations, Atmos. Chem. Phys., 8, 2869-2884, 2008, http://www.atmos-chem-phys.net/8/2869/2008/.
41. Zhang, J., Reid, J. S., Westphal, D. L., Baker, N. L., 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.