Search Results - "Tanre, D."

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  1. 1

    Enhancement of aerosol characterization using synergy of lidar and sun-photometer coincident observations: the GARRLiC algorithm by Lopatin, A, Dubovik, O, Chaikovsky, A, Goloub, P, Lapyonok, T, Tanré, D, Litvinov, P

    Published in Atmospheric measurement techniques (20-08-2013)
    “…This paper presents the GARRLiC algorithm (Generalized Aerosol Retrieval from Radiometer and Lidar Combined data) that simultaneously inverts coincident lidar…”
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    Application of randomly oriented spheroids for retrieval of dust particle parameters from multiwavelength lidar measurements by Veselovskii, I., Dubovik, O., Kolgotin, A., Lapyonok, T., Di Girolamo, P., Summa, D., Whiteman, D. N., Mishchenko, M., Tanré, D.

    “…Multiwavelength (MW) Raman lidars have demonstrated their potential to profile particle parameters; however, until now, the physical models used in retrieval…”
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    Retrieval of optical and physical properties of African dust from multiwavelength Raman lidar measurements during the SHADOW campaign in Senegal by Veselovskii, I, Goloub, P, Podvin, T, Bovchaliuk, V, Derimian, Y, Augustin, P, Fourmentin, M, Tanre, D, Korenskiy, M, Whiteman, D. N, Diallo, A, Ndiaye, T, Kolgotin, A, Dubovik, O

    Published in Atmospheric chemistry and physics (08-06-2016)
    “…West Africa and the adjacent oceanic regions are very important locations for studying dust properties and their influence on weather and climate. The SHADOW…”
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    Temporal variations of flux and altitude of sulfur dioxide emissions during volcanic eruptions: implications for long-range dispersal of volcanic clouds by Boichu, M, Clarisse, L, Péré, J.-C, Herbin, H, Goloub, P, Thieuleux, F, Ducos, F, Clerbaux, C, Tanré, D

    Published in Atmospheric chemistry and physics (28-07-2015)
    “…Sulfur-rich degassing, which is mostly composed of sulfur dioxide (SO2), plays a major role in the overall impact of volcanism on the atmosphere and climate…”
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    Detection and characterization of volcanic ash plumes over Lille during the Eyjafjallajökull eruption by Mortier, A, Goloub, P, Podvin, T, der oo, C, Chaikovsky, A, Ajtai, N, Blarel, L, Tanre, D, der imian, Y

    Published in Atmospheric chemistry and physics (04-04-2013)
    “…Routine sun-photometer and micro-lidar measurements were performed in Lille, northern France, in April and May 2010 during the Eyjafjallajökull volcanic…”
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    Reduction of aerosol absorption in Beijing since 2007 from MODIS and AERONET by Lyapustin, A., Smirnov, A., Holben, B., Chin, M., Streets, D. G., Lu, Z., Kahn, R., Slutsker, I., Laszlo, I., Kondragunta, S., Tanré, D., Dubovik, O., Goloub, P., Chen, H.-B., Sinyuk, A., Wang, Y., Korkin, S.

    Published in Geophysical research letters (20-05-2011)
    “…An analysis of the time series of MODIS‐based and AERONET aerosol records over Beijing reveals two distinct periods, before and after 2007. The MODIS data from…”
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    Optical properties and radiative forcing of the Eyjafjallajökull volcanic ash layer observed over Lille, France, in 2010 by Derimian, Y., Dubovik, O., Tanre, D., Goloub, P., Lapyonok, T., Mortier, A.

    “…In this work we characterize optical properties and assess the direct radiative effect of an ash plume observed on April 17, 2010 by AERONET, lidar and…”
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    Cloud and aerosol properties, precipitable water, and profiles of temperature and water vapor from MODIS by King, M.D., Menzel, W.P., Kaufman, Y.J., Tanre, D., Bo-Cai Gao, Platnick, S., Ackerman, S.A., Remer, L.A., Pincus, R., Hubanks, P.A.

    “…The Moderate Resolution Imaging Spectroradiometer (MODIS) is an Earth-viewing sensor that flies on the Earth Observing System Terra and Aqua satellites,…”
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    Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview by Vermote, E.F., Tanre, D., Deuze, J.L., Herman, M., Morcette, J.-J.

    “…Remote sensing from satellite or airborne platforms of land or sea surfaces in the visible and near infrared is strongly affected by the presence of the…”
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    Aerosol retrieval experiments in the ESA Aerosol_cci project by Holzer-Popp, T, de Leeuw, G, Griesfeller, J, Martynenko, D, Klüser, L, Bevan, S, Davies, W, Ducos, F, Deuzé, J. L, Graigner, R. G, Heckel, A, von Hoyningen-Hüne, W, Kolmonen, P, Litvinov, P, North, P, Poulsen, C. A, Ramon, D, Siddans, R, Sogacheva, L, Tanre, D, Thomas, G. E, Vountas, M, Descloitres, J, Kinne, S, Schulz, M, Pinnock, S

    Published in Atmospheric measurement techniques (08-08-2013)
    “…Within the ESA Climate Change Initiative (CCI) project Aerosol_cci (2010–2013), algorithms for the production of long-term total column aerosol optical depth…”
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    A critical examination of the residual cloud contamination and diurnal sampling effects on MODIS estimates of aerosol over ocean by Kaufman, Y.J., Remer, L.A., Tanre, D., Rong-Rong Li, Kleidman, R., Mattoo, S., Levy, R.C., Eck, T.F., Holben, B.N., Ichoku, C., Martins, J.V., Koren, I.

    “…Observations of the aerosol optical thickness (AOT) by the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments aboard Terra and Aqua satellites…”
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    AERONET—A Federated Instrument Network and Data Archive for Aerosol Characterization by 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.

    Published in Remote sensing of environment (01-10-1998)
    “…The concept and description of a remote sensing aerosol monitoring network initiated by NASA, developed to support NASA, CNES, and NASDA’s Earth satellite…”
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    Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations by Dubovik, O., Herman, M., Holdak, A., Lapyonok, T., Tanré, D., Deuzé, J. L., Ducos, F., Sinyuk, A., Lopatin, A.

    Published in Atmospheric measurement techniques (31-05-2011)
    “…The proposed development is an attempt to enhance aerosol retrieval by emphasizing statistical optimization in inversion of advanced satellite observations…”
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    Atmospherically resistant vegetation index (ARVI) for EOS-MODIS by Kaufman, Y.J., Tanre, D.

    “…An atmospherically resistant vegetation index (ARVI) is proposed and developed for remote sensing of vegetation from the Earth Observing System (EOS) MODIS…”
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