Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 3.668
IF3.668
IF 5-year value: 3.707
IF 5-year
3.707
CiteScore value: 6.3
CiteScore
6.3
SNIP value: 1.383
SNIP1.383
IPP value: 3.75
IPP3.75
SJR value: 1.525
SJR1.525
Scimago H <br class='widget-line-break'>index value: 77
Scimago H
index
77
h5-index value: 49
h5-index49
Volume 7, issue 7
Atmos. Meas. Tech., 7, 2013–2025, 2014
https://doi.org/10.5194/amt-7-2013-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 7, 2013–2025, 2014
https://doi.org/10.5194/amt-7-2013-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 04 Jul 2014

Research article | 04 Jul 2014

Aerosol microphysical retrievals from precision filter radiometer direct solar radiation measurements and comparison with AERONET

S. Kazadzis et al.

Related authors

Long-term visibility variation in Athens (1931–2013): a proxy for local and regional atmospheric aerosol loads
Dimitra Founda, Stelios Kazadzis, Nikolaos Mihalopoulos, Evangelos Gerasopoulos, Maria Lianou, and Panagiotis I. Raptis
Atmos. Chem. Phys., 16, 11219–11236, https://doi.org/10.5194/acp-16-11219-2016,https://doi.org/10.5194/acp-16-11219-2016, 2016
Short summary
LIVAS: a 3-D multi-wavelength aerosol/cloud database based on CALIPSO and EARLINET
V. Amiridis, E. Marinou, A. Tsekeri, U. Wandinger, A. Schwarz, E. Giannakaki, R. Mamouri, P. Kokkalis, I. Binietoglou, S. Solomos, T. Herekakis, S. Kazadzis, E. Gerasopoulos, E. Proestakis, M. Kottas, D. Balis, A. Papayannis, C. Kontoes, K. Kourtidis, N. Papagiannopoulos, L. Mona, G. Pappalardo, O. Le Rille, and A. Ansmann
Atmos. Chem. Phys., 15, 7127–7153, https://doi.org/10.5194/acp-15-7127-2015,https://doi.org/10.5194/acp-15-7127-2015, 2015
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
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: Data Processing and Information Retrieval
Aerosol optical properties as observed from an ultralight aircraft over the Strait of Gibraltar
Patrick Chazette
Atmos. Meas. Tech., 13, 4461–4477, https://doi.org/10.5194/amt-13-4461-2020,https://doi.org/10.5194/amt-13-4461-2020, 2020
Short summary
Evaluation of a method for converting Stratospheric Aerosol and Gas Experiment (SAGE) extinction coefficients to backscatter coefficients for intercomparison with lidar observations
Travis N. Knepp, Larry Thomason, Marilee Roell, Robert Damadeo, Kevin Leavor, Thierry Leblanc, Fernando Chouza, Sergey Khaykin, Sophie Godin-Beekmann, and David Flittner
Atmos. Meas. Tech., 13, 4261–4276, https://doi.org/10.5194/amt-13-4261-2020,https://doi.org/10.5194/amt-13-4261-2020, 2020
Short summary
Inversion of multiangular polarimetric measurements from the ACEPOL campaign: an application of improving aerosol property and hyperspectral ocean color retrievals
Meng Gao, Peng-Wang Zhai, Bryan A. Franz, Kirk Knobelspiesse, Amir Ibrahim, Brian Cairns, Susanne E. Craig, Guangliang Fu, Otto Hasekamp, Yongxiang Hu, and P. Jeremy Werdell
Atmos. Meas. Tech., 13, 3939–3956, https://doi.org/10.5194/amt-13-3939-2020,https://doi.org/10.5194/amt-13-3939-2020, 2020
Improved water vapour retrieval from AMSU-B and MHS in the Arctic
Arantxa M. Triana-Gómez, Georg Heygster, Christian Melsheimer, Gunnar Spreen, Monia Negusini, and Boyan H. Petkov
Atmos. Meas. Tech., 13, 3697–3715, https://doi.org/10.5194/amt-13-3697-2020,https://doi.org/10.5194/amt-13-3697-2020, 2020
Short summary
The AERONET Version 3 aerosol retrieval algorithm, associated uncertainties and comparisons to Version 2
Alexander Sinyuk, Brent N. Holben, Thomas F. Eck, David M. Giles, Ilya Slutsker, Sergey Korkin, Joel S. Schafer, Alexander Smirnov, Mikhail Sorokin, and Alexei Lyapustin
Atmos. Meas. Tech., 13, 3375–3411, https://doi.org/10.5194/amt-13-3375-2020,https://doi.org/10.5194/amt-13-3375-2020, 2020

Cited articles

Bohren, C. F. and Huffman, D. R.: Absorption and Scattering of Light by Small Particles, John Wiley, Hoboken, NJ, 1983.
De Graaf, M., Donovan, D., and Apituley, A.: Feasibility study of integral property retrieval for tropospheric aerosol from Raman lidar data using principal component analysis, Appl. Opt., 52, 2173–2186, 2013.
Donovan, D. and Carswell, A.: Principal component analysis applied to multiwavelength lidar aerosol backscatter and extinction measurements, Appl. Opt., 36, 9406–9424, 1997.
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 assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements, J. Geophys. Res., 105, 9791–9806, https://doi.org/10.1029/2000JD900040, 2000.
Publications Copernicus
Download
Citation