C. Annexe and . Compas, COde de Modélisation d'un Panache d'AéroSols

S. Ainsi, H. Le-paramètre, and . Renseigné, les propriétés des particules de type water soluble, sulfates, embrunts marins ou matières organiques sont modifiées suivant les équations ci-dessus. Dans le cadre de nos travaux

A. Au-code and C. , une petite base de données d'indices de réfraction a été construite pour les besoins des différentes simulations effectuées dans le cadre de cette thèse, Elle comprend les indices des types d'aérosols suivants, du visible au proche-infrarouge : ? matières organiques

A. Image, R. Feu-de-quinault, A. Pachauri, and . Reisinger, acquise le 21 septembre 1994 en Californie De Bibliographie [1] Equipe de rédaction principale Bilan 2007 des changements climatiques : Rapport de synthèse Groupe d'experts intergouvernemental sur l'évolution du climat, Tech. Rep, 2008.

N. Riemer, M. West, R. Zaveri, and R. Easter, Simulating the evolution of soot mixing state with a particle???resolved aerosol model, Journal of Geophysical Research, vol.36, issue.D14, 2009.
DOI : 10.1029/2008JD011073

N. Jacquinet-husson, E. Arié, J. Ballard, A. Barbe, G. Bjoraker et al., The 1997 spectroscopic GEISA databank, Journal of Quantitative Spectroscopy and Radiative Transfer, vol.62, issue.2, pp.205-254, 1999.
DOI : 10.1016/S0022-4073(98)00111-3

M. Hess, P. Köpke, and I. Schult, Optical Properties of Aerosols and Clouds: The Software Package OPAC, Bulletin of the American Meteorological Society, vol.79, issue.5, pp.831-844, 1998.
DOI : 10.1175/1520-0477(1998)079<0831:OPOAAC>2.0.CO;2

K. Liou, An introduction to atmospheric radiation, ser. International Geophysics Series, 1980.

G. Mie, Beiträge zur Optik trüber Medien, speziell kolloidaler Metallösungen, Ann. Phys, vol.25, pp.377-445, 1908.

C. F. Bohren and D. R. Huffman, Absorption and Scattering of Light by Small Particles, 1983.
DOI : 10.1002/9783527618156

P. Russel, P. Hobbs, and L. Stowe, Aerosol properties and radiative effects in the United States East Coast haze plume: An overview of the Tropospheric Aerosol Radiative Forcing Observational Experiment (TARFOX), Journal of Geophysical Research: Atmospheres, vol.25, issue.D2, pp.2213-2222, 1999.
DOI : 10.1029/1998JD200028

L. Remer, S. Gasso, D. Hegg, Y. Kaufman, and B. Holben, Urban/industrial aerosol: Ground-based Sun/sky radiometer and airborne in situ measurements, Journal of Geophysical Research: Atmospheres, vol.19, issue.D14, pp.16-849, 1997.
DOI : 10.1029/96JD01932

M. Mallet, R. Van-dingenen, J. Roger, S. Despiau, and H. Cachier, In situ airborne measurements of aerosol optical properties during photochemical pollution events, Journal of Geophysical Research, vol.13, issue.D21, 2005.
DOI : 10.1029/2004JD005139

M. Mallet, J. Roger, S. Despiau, O. Dubovik, and J. Putaud, Microphysical and optical properties of aerosol particles in urban zone during ESCOMPTE, Atmospheric Research, vol.69, issue.1-2, pp.73-97, 2003.
DOI : 10.1016/j.atmosres.2003.07.001

E. Mccartney, Optics of the Atmosphere, 1976.

P. Deschamps, M. Herman, and D. Tanré, Modeling of the atmospheric effects and its application to the remote sensing of ocean color, Applied Optics, vol.22, issue.23, pp.3751-3758, 1983.
DOI : 10.1364/AO.22.003751

D. Antoine and A. Morel, Relative importance of multiple scattering by air molecules and aerosols in forming the atmospheric path radiance in the visible and near-infrared parts of the spectrum, Applied Optics, vol.37, issue.12, pp.2245-2259, 1998.
DOI : 10.1364/AO.37.002245

C. Miesch, L. Poutier, V. Achard, X. Briottet, X. Lenot et al., Direct and inverse radiative transfer solutions for visible and near-infrared hyperspectral imagery, IEEE Transactions on Geoscience and Remote Sensing, vol.43, issue.7, pp.1552-1562, 2005.
DOI : 10.1109/TGRS.2005.847793

H. Kobayashi, A. Shimota, K. Kondo, E. Okumara, Y. Kamedo et al., Development and evaluation of the interferometric monitor for greenhouse gases: a high-throughput Fourier-transform infrared radiometer for nadir Earth observation, Applied Optics, vol.38, issue.33, pp.6801-6807, 1999.
DOI : 10.1364/AO.38.006801

J. Drummond and J. Mand, The Measurements of Pollution in the Troposphere (MOPITT) Instrument: Overall Performance and Calibration Requirements, Journal of Atmospheric and Oceanic Technology, vol.13, issue.2, pp.314-320, 1996.
DOI : 10.1175/1520-0426(1996)013<0314:TMOPIT>2.0.CO;2

R. Beer, A. Glavich, and D. Rider, Tropospheric emission spectrometer for the Earth Observing System???s Aura satellite, Applied Optics, vol.40, issue.15, pp.2356-2367, 2001.
DOI : 10.1364/AO.40.002356

G. Chalo, F. Cayla, and D. Diebel, IASI : An advance Sounder for Operational Meteorology, Proc. of SPIE, 2001.

P. S. , C. Camy-peyret, P. Jeseck, T. Hawat, G. Durry et al., first direct simultaneous HCl and ClON O 2 profile measurements in the Artic vortex, Geophys. res. lett, vol.25, pp.2663-2666, 1998.

J. P. Laboratory, Level 2 algorithm theoretical basis document, Tech. Rep, p.16474, 1999.

S. Turquety, J. Hadji-lazaro, C. Clerbaux, D. Hauglustaine, T. Clough et al., Operational trace gas retrieval algorithm for the Infrared Atmospheric Sounder Interferometer, J. Geophys. Res, vol.109, p.21301, 2004.

E. Puckrin, C. S. Turcotte, M. Gagnon, J. Bastedo, V. Farley et al., Airborne infrared hyperspectral imager for intelligence, surveillance, and reconnaissance applications, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications IX, 2012.
DOI : 10.1117/12.918251

C. Gittins, Detection and characterization of chemical vapor fugitive emissions by nonlinear optimal estimation: theory and simulation, Applied Optics, vol.48, issue.23, pp.4545-4561, 2009.
DOI : 10.1364/AO.48.004545

P. Heasler, C. Posse, J. Hylden, and K. Anderson, Nonlinear Bayesian Algorithms for Gas Plume Detection and Estimation from Hyper-spectral Thermal Image Data, Sensors, vol.7, issue.6, pp.905-920, 2007.
DOI : 10.3390/s7060905

J. Thériault, P. Lacasse, H. Lavoie, F. Bouffard, Y. Montembeault et al., CATSI EDM: a new sensor for the real-time passive stand-off detection and identification of chemicals, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XI, 2010.
DOI : 10.1117/12.850318

E. O. Donnell, D. Messinger, C. Savaggio, and J. Schott, Identification and detection of gaseous effluents from hyperspectral imagery using invariant algorithms, Proc. of SPIE, pp.573-582, 2004.

A. Vallières, A. Villemaire, M. Chamberland, L. Belhumeur, V. Farley et al., Algorithms for chemical detection, identification and quantification for thermal hyperspectral imagers, Chemical and Biological Standoff Detection III, 2005.
DOI : 10.1117/12.632114

D. Messinger, Gaseous plume detection in hyperspectral images : a comparison of methods, Proc. of SPIE, pp.592-603, 2004.

N. Mehta, E. Scharlemann, and C. Stevens, <title>Quantitative estimation of trace chemicals in industrial effluents with the Sticklet transform method</title>, Chemical and Biological Sensing II, pp.10-20, 2001.
DOI : 10.1117/12.438189

G. Jellison and D. Miller, Validation and calibration of a spectroscopic technique for determination of gas plume temperature, Proc. of SPIE, pp.244-255, 2004.

J. Kerekes, M. Griffin, J. Baum, and K. Farrar, <title>Modeling of LWIR hyperspectral system performance for surface object and effluent detection applications</title>, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII, pp.348-359, 2001.
DOI : 10.1117/12.437025

M. Griffin, J. Kerekes, K. Farrar, and H. Burke, Characterization of gaseous effluents from modeling of LWIR hyperspectral measurements, Proc. of SPIE, pp.360-369, 2001.

P. Tremblay, S. Savary, M. Rolland, A. Villemaire, M. Chamberland et al., Standoff gas identification and quantification from turbulent stack plumes with an imaging Fourier-transform spectrometer, Advanced Environmental, Chemical, and Biological Sensing Technologies VII, 2010.
DOI : 10.1117/12.850127

V. Carrere and J. Conel, Recovery of atmospheric water vapor total column abundance from imaging spectrometer data around 940 nm ??? sensitivity analysis and application to Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data, Remote Sensing of Environment, vol.44, issue.2-3, pp.179-204, 1993.
DOI : 10.1016/0034-4257(93)90015-P

C. Spinetti, V. Carrère, M. Buongiorno, A. Sutton, and T. Elias, Carbon dioxide of Pu'u'O'o volcanic plume at Kilauea retrieved by AVIRIS hyperspectral data, Remote Sens. Environ, vol.112, 2008.

M. Shimoni, R. Heremans, F. Van-der-meer, and F. Acheroy, Measuring pollutant gases using VNIR and TIR imaging spectroscopy, 5th EARSeL Workshop on Imaging Spectroscopy, 2007.

R. Marion, R. Michel, and C. Faye, Measuring trace gases in plumes from hyperspectral remotely sensed data, IEEE Transactions on Geoscience and Remote Sensing, vol.42, issue.4, pp.854-864, 2004.
DOI : 10.1109/TGRS.2003.820604

O. García, A. Díaz, F. Expósito, J. Díaz, O. Dubovik et al., Validation of AERONET estimates of atmospheric solar fluxes and aerosol radiative forcing by ground-based broadband measurements, Journal of Geophysical Research, vol.110, issue.8, p.21207, 2008.
DOI : 10.1029/2008JD010211

U. Wandinger, D. Muller, C. Bockmann, D. Althausen, V. Matthias et al., Optical and microphysical characterization of biomass- burning and industrial-pollution aerosols from- multiwavelength lidar and aircraft measurements, Journal of Geophysical Research: Atmospheres, vol.103, issue.D21, p.21, 2002.
DOI : 10.1029/2000JD000202

M. King, Y. Kaufman, D. Tanré, and T. Nakajima, Remote Sensing of Tropospheric Aerosols from Space: Past, Present, and Future, Bulletin of the American Meteorological Society, vol.80, issue.11, pp.2229-2259, 1999.
DOI : 10.1175/1520-0477(1999)080<2229:RSOTAF>2.0.CO;2

A. Alakian, R. Marion, and X. Briottet, Retrieval of microphysical and optical properties in aerosol plumes with hyperspectral imagery: L-APOM method, Remote Sensing of Environment, vol.113, issue.4, pp.781-793, 2009.
DOI : 10.1016/j.rse.2008.12.006

Y. J. Kaufman, A. Wald, L. Remer, B. Gao, R. Li et al., The MODIS 2.1?µm channel?correlation with visible reflectance for use in remote sensing of aerosol

A. Angström, On the atmospheric transmission of sun radiation and on dust in the air, Geogr. Ann, vol.12, pp.130-159, 1929.

D. Tanré, P. Y. Deschamps, C. Devaux, and M. Herman, Estimation of Saharan aerosol optical thickness from blurring effects in thematic mapper data, Journal of Geophysical Research, vol.93, issue.4-5, pp.15-955, 1988.
DOI : 10.1029/JD093iD12p15955

Y. Cheng, W. A. , H. Eichler, H. Su, T. Gnauk et al., Aerosol optical properties and related chemical apportionment at Xinken in Pearl River Delta of China, Atmospheric Environment, vol.42, issue.25, pp.6351-6372, 2008.
DOI : 10.1016/j.atmosenv.2008.02.034

L. Remer and Y. Kaufman, Dynamic aerosol model: Urban/industrial aerosol, Journal of Geophysical Research: Atmospheres, vol.12, issue.D12, pp.13-859, 1998.
DOI : 10.1029/98JD00994

H. Annegarn, A. Leslie, J. Winchester, and J. Sellschop, Particle Size and Temporal Characteristics of Aerosol Composition near Coal-Fired Electric Power Plants of the Eastern Transvaal, Aerosol Science and Technology, vol.9, issue.4, pp.489-498, 1983.
DOI : 10.1080/02786828308958652

T. Mather, R. Harrison, V. Tsanev, D. Pyle, M. Karumudi et al., Observations of the plume generated by the December 2005 oil depot explosions and prolonged fire at Buncefield (Hertfordshire, UK) and associated atmospheric changes, Proceedings of the Royal Society, pp.1153-1177, 2007.
DOI : 10.1098/rspa.2006.1810

R. Moffet, Y. Desyaterik, R. Hopkins, A. Tivanski, M. Gilles et al., Characterization of Aerosols Containing Zn, Pb, and Cl from an Industrial Region of Mexico City, Environmental Science & Technology, vol.42, issue.19, pp.7091-7097, 2008.
DOI : 10.1021/es7030483

H. Marris, K. Deboudt, P. Augustin, P. Flament, F. Blond et al., Fast changes in chemical composition and size distribution of fine particles during the near-field transport of industrial plumes, Science of The Total Environment, vol.427, issue.428, pp.427-428, 2012.
DOI : 10.1016/j.scitotenv.2012.03.068

M. Choël, K. Deboudt, and P. Flament, Development of Time-Resolved Description of Aerosol Properties at the Particle Scale During an Episode of Industrial Pollution Plume, Water, Air, & Soil Pollution, vol.54, issue.335, pp.93-107, 2010.
DOI : 10.1007/s11270-009-0183-9

R. Ceolato, N. Rivière, B. Biscans, and L. Hespel, Supercontinuum laser-based instrument to measure hyperspectral polarized BRDF, Proc. of SPIE, 2011.
DOI : 10.1117/12.898004

N. Rivière and L. Hespel, Identification of radiative parameters of dense scattering media, 10 th International Conference on Light Scattering by Non-spherical Particles, 2007.

I. N. Sokolik and O. B. Toon, Incorporation of mineralogical composition into models of the radiative properties of mineral aerosol from UV to IR wavelengths, Journal of Geophysical Research: Atmospheres, vol.30, issue.D8, pp.9423-9444, 1999.
DOI : 10.1029/1998JD200048

H. Y. Li, S. M. Zhou, J. Li, Y. L. Chen, S. Y. Wang et al., Analysis of the Drude model in metallic films, Applied Optics, vol.40, issue.34, pp.6307-6311, 2001.
DOI : 10.1364/AO.40.006307

M. A. Ordal, L. L. Long, R. J. Bell, S. E. Bell, R. R. Bell et al., Optical properties of the metals Al, Co, Cu, Au, Fe, Pb, Ni, Pd, Pt, Ag, Ti, and W in the infrared and far infrared, Applied Optics, vol.22, issue.7, pp.1099-1119, 1983.
DOI : 10.1364/AO.22.001099

D. Schläpfer, C. Borel, J. Keller, and K. Itten, Atmospheric Precorrected Differential Absorption Technique to Retrieve Columnar Water Vapor, Remote Sensing of Environment, vol.65, issue.3, pp.353-366, 1998.
DOI : 10.1016/S0034-4257(98)00044-3

A. Heidinger and G. Stephens, A band, Journal of the Atmospheric Sciences, vol.57, issue.10, pp.1615-1634, 2000.
DOI : 10.1175/1520-0469(2000)057<1615:MLAIAS>2.0.CO;2

F. Zagolski and R. Santer, Coupling oxygen absorption at 761.75nm with scattering based on the primary scattering approximation -Potential application for cirrus and cloud detection over ocean, Proccedings of the 2004 Envisat & ERS Symposium, 2004.

L. Guanter, L. Gomez-chova, and J. Moreno, Coupled retrieval of aerosol optical thickness, columnar water vapor and surface reflectance maps from ENVISAT/MERIS data over land, Remote Sensing of Environment, vol.112, issue.6, pp.2898-2913, 2008.
DOI : 10.1016/j.rse.2008.02.001

J. Trentmann, M. Andreae, H. Graf, P. Hobbs, R. Ottmar et al., Simulation of a biomass-burning plume: Comparison of model results with observations, Journal of Geophysical Research, vol.55, issue.D2, 2002.
DOI : 10.1029/2001JD000410

J. Reid, R. Koppmann, T. Eck, and D. Eleuterio, A review of biomass burning emissions, part II: Intensive physical properties of biomass burning particles, Atmospheric Chemistry and Physics Discussions, vol.4, issue.5, pp.5135-5200, 2004.
DOI : 10.5194/acpd-4-5135-2004

URL : https://hal.archives-ouvertes.fr/hal-00295638

G. Stephens and A. Heidinger, Molecular Line Absorption in a Scattering Atmosphere. Part I: Theory, Journal of the Atmospheric Sciences, vol.57, issue.10, pp.1599-1614, 2000.
DOI : 10.1175/1520-0469(2000)057<1599:MLAIAS>2.0.CO;2

C. Sivaraman, D. Turner, and C. Flynn, Techniques and methods used to determine the Aerosol Best Estimate Value-Added Product at SGP central facility, Proceedings of the 14 th ARM Science Team Meeting, 2004.

M. Wong, J. Nichol, and K. Lee, Operationnal MODIS aerosol retrieval algorithm in high spatial resolution, validation, and application over complex urban regions, Atmospheric Research, vol.99, pp.3-4, 2011.

G. Anderson, G. Felde, M. Hoke, A. Ratkowski, T. Cooley et al., <title>MODTRAN4-based atmospheric correction algorithm: FLAASH (fast line-of-sight atmospheric analysis of spectral hypercubes)</title>, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII, pp.65-71, 2002.
DOI : 10.1117/12.478737

S. Bojinski, D. Schlaepfer, M. Schaepman, and J. Keller, Aerosol mapping over rugged heterogeneous terrain with imaging spectrometer data, Imaging Spectrometry VIII, pp.108-119, 2002.
DOI : 10.1117/12.451623

D. Marquardt, An Algorithm for Least-Squares Estimation of Nonlinear Parameters, Journal of the Society for Industrial and Applied Mathematics, vol.11, issue.2, pp.431-441, 1963.
DOI : 10.1137/0111030

K. Stamnes, S. Tsay, W. Wiscombe, and K. Jayaweera, Numerically stable algorithm for discrete-ordinate-method radiative transfer in multiple scattering and emitting layered media, Applied Optics, vol.27, issue.12, pp.2502-2509, 1988.
DOI : 10.1364/AO.27.002502

S. Gasso and D. Hegg, Comparison of Columnar Aerosol Optical Properties Measured by the MODIS Airborne Simulator with In Situ Measurements, Remote Sensing of Environment, vol.66, issue.2, pp.227-248, 1997.
DOI : 10.1016/S0034-4257(98)00052-2

E. Gimeno-garcia, V. Andreu, and J. Rubio, Spatial patterns of soil temperatures during experimental fires, Geoderma, vol.118, issue.1-2, pp.17-38, 2004.
DOI : 10.1016/S0016-7061(03)00167-8

Y. Kaufman, L. Remer, R. Ottmar, D. Ward, R. Li et al., Relationship between remotely sensed fire intensity and rate emission of smoke : Scar-c experiment, Biomass Burning and Global Change, pp.685-696, 1996.

P. Hobbs, J. Reid, J. Herring, J. Nance, R. Weiss et al., Particle and trace gas measurements in the smoke from prescribed burns of forest products in the pacific northwest, Biomass Burning and Global Change, pp.685-696, 1996.

J. Martins, P. Artaxo, P. Hobbs, C. Liousse, and H. Cachier, Particle size distribution, elemental composition, carbon measurements and optical properties of smoke from biomass burning in the pacific northwest, Biomass Burning and Global Change, pp.716-732, 1996.

T. Colin, X. Briottet, and R. Santer, OSIS : remote sensing code for estimating aerosol optical properties in urban areas from very high spatial resolution images, Appl. Opt, vol.50, issue.28, 2011.

C. Spinetti, M. F. Buongiorno, V. Lombardo, and L. Merucci, Aerosol optical thickness of Mt. Etna volcanic plume retrieved by means of the Airborne Multispectral Imaging Spectrometer (MIVIS), Annals of Geophysics, vol.46, issue.2, pp.439-449, 2003.

R. Richter and D. Schläpfer, Atmospheric/topographic correction for airborne imagery, DLR Report, 2011.

J. W. Boardman, F. A. Kruse, and R. O. Green, Mapping target signatures via partial unmixing of AVIRIS data, Summaries, Fifth JPL Airborne Earth Science Workshop, pp.95-96, 1995.

M. D. King and D. M. Byrne, A Method for Inferring Total Ozone Content from the Spectral Variation of Total Optical Depth Obtained with a Solar Radiometer, Journal of the Atmospheric Sciences, vol.33, issue.11, pp.2242-2251, 1976.
DOI : 10.1175/1520-0469(1976)033<2242:AMFITO>2.0.CO;2

A. Fernandez-renau, J. A. Gomez, and E. Miguel, The INTA AHS system, Sensors, Systems, and Next-Generation Satellites IX, pp.471-478, 2005.
DOI : 10.1117/12.629440

S. Michel, M. J. Lefevre-fonollosa, and S. Hosford, HYPXIM &#x2014; A hyperspectral satellite defined for science, security and defence users, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2010.
DOI : 10.1109/WHISPERS.2011.6080864

P. Simoneau, R. Berton, K. Caillault, G. Durand, T. Huet et al., MATISSE: advanced Earth modeling for imaging and scene simulation, Optics in Atmospheric Propagation and Adaptive Systems IV, 2002.
DOI : 10.1117/12.454410

E. Vermote, D. Tanré, J. Deuzé, M. Herman, and M. , Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview, IEEE Transactions on Geoscience and Remote Sensing, vol.35, issue.3, pp.675-686, 1997.
DOI : 10.1109/36.581987

N. Scott and A. Chedin, A Fast Line-by-Line Method for Atmospheric Absorption Computations: The Automatized Atmospheric Absorption Atlas, Journal of Applied Meteorology, vol.20, issue.7, pp.802-812, 1981.
DOI : 10.1175/1520-0450(1981)020<0802:AFLBLM>2.0.CO;2

C. Miesch, X. Briottet, Y. Kerr, and F. Cabot, Radiative transfer solution for rugged and heterogeneous scene observations, Applied Optics, vol.39, issue.36, pp.6830-6846, 2000.
DOI : 10.1364/AO.39.006830

P. Chazette and C. Liousse, A case study of optical and chemical ground apportionment for urban aerosols in Thessaloniki, Atmospheric Environment, vol.35, issue.14, pp.2497-2506, 2001.
DOI : 10.1016/S1352-2310(00)00425-8

E. P. Shettle and R. W. Fenn, Models for the aerosols of the lower atmosphere and the effects of humidity variations on their optical properties, Environmental Research Paper, issue.676, 1979.

O. B. Toon, J. B. Pollock, and B. N. Khare, The optical constants of several atmospheric aerosol species: Ammonium sulfate, aluminum oxide, and sodium chloride, Journal of Geophysical Research, vol.12, issue.33, pp.5733-5748, 1976.
DOI : 10.1029/JC081i033p05733

T. N. Carlson and S. G. Benjamin, Radiative Heating Rates for Saharan Dust, Journal of the Atmospheric Sciences, vol.37, issue.1, pp.193-213, 1980.
DOI : 10.1175/1520-0469(1980)037<0193:RHRFSD>2.0.CO;2

I. N. Sokolik, A. Andronova, and T. C. Johnson, Complex refractive index of atmospheric dust aerosols, Atmospheric Environment. Part A. General Topics, vol.27, issue.16, pp.2495-2502, 1993.
DOI : 10.1016/0960-1686(93)90021-P

L. Kou, D. Labrie, and P. Chylek, Refractive indices of water and ice in the 065- to 25-??m spectral range, Applied Optics, vol.32, issue.19, pp.3531-3540, 1993.
DOI : 10.1364/AO.32.003531

G. Chen, S. Jaradat, and N. Banerjee, Evaluation and comparison of clustering algorithms in analyzing ES. cell gene expression data, Statistica Sinica, vol.12, pp.241-262, 2002.

T. , D. Sontro, I. Leifer, B. Luyendyk, and B. Broitman, Beach tar accumulation, transport mechanism, and sources of variability at Coal Oil Point, California, Marine Pollution Bulletin, vol.54, 2007.