Articles | Volume 7, issue 3
https://doi.org/10.5194/amt-7-839-2014
https://doi.org/10.5194/amt-7-839-2014
Research article
 | 
31 Mar 2014
Research article |  | 31 Mar 2014

Multi-modal analysis of aerosol robotic network size distributions for remote sensing applications: dominant aerosol type cases

M. Taylor, S. Kazadzis, and E. Gerasopoulos

Related authors

Dust impact on surface solar irradiance assessed with model simulations, satellite observations and ground-based measurements
Panagiotis G. Kosmopoulos, Stelios Kazadzis, Michael Taylor, Eleni Athanasopoulou, Orestis Speyer, Panagiotis I. Raptis, Eleni Marinou, Emmanouil Proestakis, Stavros Solomos, Evangelos Gerasopoulos, Vassilis Amiridis, Alkiviadis Bais, and Charalabos Kontoes
Atmos. Meas. Tech., 10, 2435–2453, https://doi.org/10.5194/amt-10-2435-2017,https://doi.org/10.5194/amt-10-2435-2017, 2017
Short summary
TEMIS UV product validation using NILU-UV ground-based measurements in Thessaloniki, Greece
Melina-Maria Zempila, Jos H. G. M. van Geffen, Michael Taylor, Ilias Fountoulakis, Maria-Elissavet Koukouli, Michiel van Weele, Ronald J. van der A, Alkiviadis Bais, Charikleia Meleti, and Dimitrios Balis
Atmos. Chem. Phys., 17, 7157–7174, https://doi.org/10.5194/acp-17-7157-2017,https://doi.org/10.5194/acp-17-7157-2017, 2017
Short summary
Satellite retrieval of aerosol microphysical and optical parameters using neural networks: a new methodology applied to the Sahara desert dust peak
M. Taylor, S. Kazadzis, A. Tsekeri, A. Gkikas, and V. Amiridis
Atmos. Meas. Tech., 7, 3151–3175, https://doi.org/10.5194/amt-7-3151-2014,https://doi.org/10.5194/amt-7-3151-2014, 2014
Aerosol microphysical retrievals from precision filter radiometer direct solar radiation measurements and comparison with AERONET
S. Kazadzis, I. Veselovskii, V. Amiridis, J. Gröbner, A. Suvorina, S. Nyeki, E. Gerasopoulos, N. Kouremeti, M. Taylor, A. Tsekeri, and C. Wehrli
Atmos. Meas. Tech., 7, 2013–2025, https://doi.org/10.5194/amt-7-2013-2014,https://doi.org/10.5194/amt-7-2013-2014, 2014
Optimizing CALIPSO Saharan dust retrievals
V. Amiridis, U. Wandinger, E. Marinou, E. Giannakaki, A. Tsekeri, S. Basart, S. Kazadzis, A. Gkikas, M. Taylor, J. Baldasano, and A. Ansmann
Atmos. Chem. Phys., 13, 12089–12106, https://doi.org/10.5194/acp-13-12089-2013,https://doi.org/10.5194/acp-13-12089-2013, 2013

Related subject area

Subject: Aerosols | Technique: Remote Sensing | Topic: Validation and Intercomparisons
Regional validation of the solar irradiance tool SolaRes in clear-sky conditions, with a focus on the aerosol module
Thierry Elias, Nicolas Ferlay, Gabriel Chesnoiu, Isabelle Chiapello, and Mustapha Moulana
Atmos. Meas. Tech., 17, 4041–4063, https://doi.org/10.5194/amt-17-4041-2024,https://doi.org/10.5194/amt-17-4041-2024, 2024
Short summary
An empirical characterization of the aerosol Ångström exponent interpolation bias using SAGE III/ISS data
Robert P. Damadeo, Viktoria F. Sofieva, Alexei Rozanov, and Larry W. Thomason
Atmos. Meas. Tech., 17, 3669–3678, https://doi.org/10.5194/amt-17-3669-2024,https://doi.org/10.5194/amt-17-3669-2024, 2024
Short summary
Retrievals of aerosol optical depth over the western North Atlantic Ocean during ACTIVATE
Leong Wai Siu, Joseph S. Schlosser, David Painemal, Brian Cairns, Marta A. Fenn, Richard A. Ferrare, Johnathan W. Hair, Chris A. Hostetler, Longlei Li, Mary M. Kleb, Amy Jo Scarino, Taylor J. Shingler, Armin Sorooshian, Snorre A. Stamnes, and Xubin Zeng
Atmos. Meas. Tech., 17, 2739–2759, https://doi.org/10.5194/amt-17-2739-2024,https://doi.org/10.5194/amt-17-2739-2024, 2024
Short summary
Characterization of dust aerosols from ALADIN and CALIOP measurements
Rui Song, Adam Povey, and Roy G. Grainger
Atmos. Meas. Tech., 17, 2521–2538, https://doi.org/10.5194/amt-17-2521-2024,https://doi.org/10.5194/amt-17-2521-2024, 2024
Short summary
Lidar depolarization characterization using a reference system
Alkistis Papetta, Franco Marenco, Maria Kezoudi, Rodanthi-Elisavet Mamouri, Argyro Nisantzi, Holger Baars, Ioana Elisabeta Popovici, Philippe Goloub, Stéphane Victori, and Jean Sciare
Atmos. Meas. Tech., 17, 1721–1738, https://doi.org/10.5194/amt-17-1721-2024,https://doi.org/10.5194/amt-17-1721-2024, 2024
Short summary

Cited articles

Chin, M., Rood, R. B., Lin, S. J., Müller, J. F., and Thompson, A. M.: Atmospheric sulfur cycle simulated in the global model GOCART: Model description and global properties, J. Geophys. Res. Atmos., (1984–2012), 105, 24671–24687, 2000.
Chin, M., Ginoux, P., Kinne, S., Torres, O., Holben, B. N., Duncan, B. N., and Nakajima, T.: Tropospheric aerosol optical thickness from the GOCART model and comparisons with satellite and Sun photometer measurements, J. Atmos. Sci., 59, 461–483, 2002.
Derimian, Y., Leon, J.-F., Dubovik, O., Chiapello, I., Tanré, D., Sinyuk, A., Auriol, F., Podvin, T., Brogniez, G., and Holben, B. N.: Radiative properties of aerosol mixture observed during the dry season 2006 over M'Bour, Senegal (African Monsoon Multidisciplinary Analysis campaign), J. Geophys. Res. Atmos. (1984–2012), 113, D00C09, https://doi.org/10.1029/2008JD009904, 2008.
Dubovik, O. and King, M. D.: A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements, J Geophys. Res., 105, 20673–20696, 2000.
Dubovik, O., Smirnov, A., Holben, B. N., King, M. D., Kaufman, Y. J., Eck, T. F., and Slutsker, I.: Accuracy assessment of aerosol optical properties retrieval from AERONET sun and sky radiance measurements, J. Geophys. Res., 105, 9791–9806, 2000.
Download