Articles | Volume 16, issue 4
https://doi.org/10.5194/amt-16-1103-2023
https://doi.org/10.5194/amt-16-1103-2023
Research article
 | 
03 Mar 2023
Research article |  | 03 Mar 2023

Relationship between the sub-micron fraction (SMF) and fine-mode fraction (FMF) in the context of AERONET retrievals

Norman T. O'Neill, Keyvan Ranjbar, Liviu Ivănescu, Thomas F. Eck, Jeffrey S. Reid, David M. Giles, Daniel Pérez-Ramírez, and Jai Prakash Chaubey

Related authors

Remote Sensing detectability of airborne Arctic dust
Norman T. O’Neill, Keyvan Ranjbar, Liviu Ivănescu, Yann Blanchard, Seyed Ali Sayedain, and Yasmin AboEl-Fetouh
EGUsphere, https://doi.org/10.5194/egusphere-2024-1057,https://doi.org/10.5194/egusphere-2024-1057, 2024
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Multi-star calibration in starphotometry
Liviu Ivănescu and Norman T. O'Neill
Atmos. Meas. Tech., 16, 6111–6121, https://doi.org/10.5194/amt-16-6111-2023,https://doi.org/10.5194/amt-16-6111-2023, 2023
Short summary
Detection and analysis of Lhù'ààn Mân' (Kluane Lake) dust plumes using passive and active ground-based remote sensing supported by physical surface measurements
Seyed Ali Sayedain, Norman T. O'Neill, James King, Patrick L. Hayes, Daniel Bellamy, Richard Washington, Sebastian Engelstaedter, Andy Vicente-Luis, Jill Bachelder, and Malo Bernhard
Atmos. Meas. Tech., 16, 4115–4135, https://doi.org/10.5194/amt-16-4115-2023,https://doi.org/10.5194/amt-16-4115-2023, 2023
Short summary
Newly identified climatically and environmentally significant high-latitude dust sources
Outi Meinander, Pavla Dagsson-Waldhauserova, Pavel Amosov, Elena Aseyeva, Cliff Atkins, Alexander Baklanov, Clarissa Baldo, Sarah L. Barr, Barbara Barzycka, Liane G. Benning, Bojan Cvetkovic, Polina Enchilik, Denis Frolov, Santiago Gassó, Konrad Kandler, Nikolay Kasimov, Jan Kavan, James King, Tatyana Koroleva, Viktoria Krupskaya, Markku Kulmala, Monika Kusiak, Hanna K. Lappalainen, Michał Laska, Jerome Lasne, Marek Lewandowski, Bartłomiej Luks, James B. McQuaid, Beatrice Moroni, Benjamin Murray, Ottmar Möhler, Adam Nawrot, Slobodan Nickovic, Norman T. O’Neill, Goran Pejanovic, Olga Popovicheva, Keyvan Ranjbar, Manolis Romanias, Olga Samonova, Alberto Sanchez-Marroquin, Kerstin Schepanski, Ivan Semenkov, Anna Sharapova, Elena Shevnina, Zongbo Shi, Mikhail Sofiev, Frédéric Thevenet, Throstur Thorsteinsson, Mikhail Timofeev, Nsikanabasi Silas Umo, Andreas Uppstu, Darya Urupina, György Varga, Tomasz Werner, Olafur Arnalds, and Ana Vukovic Vimic
Atmos. Chem. Phys., 22, 11889–11930, https://doi.org/10.5194/acp-22-11889-2022,https://doi.org/10.5194/acp-22-11889-2022, 2022
Short summary
Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 1: Climatology and trend
Peng Xian, Jianglong Zhang, Norm T. O'Neill, Travis D. Toth, Blake Sorenson, Peter R. Colarco, Zak Kipling, Edward J. Hyer, James R. Campbell, Jeffrey S. Reid, and Keyvan Ranjbar
Atmos. Chem. Phys., 22, 9915–9947, https://doi.org/10.5194/acp-22-9915-2022,https://doi.org/10.5194/acp-22-9915-2022, 2022
Short summary

Related subject area

Subject: Aerosols | Technique: Remote Sensing | Topic: Instruments and Platforms
Enhancing mobile aerosol monitoring with CE376 dual-wavelength depolarization lidar
Maria Fernanda Sanchez Barrero, Ioana Elisabeta Popovici, Philippe Goloub, Stephane Victori, Qiaoyun Hu, Benjamin Torres, Thierry Podvin, Luc Blarel, Gaël Dubois, Fabrice Ducos, Eric Bourrianne, Aliaksandr Lapionak, Lelia Proniewski, Brent Holben, David Matthew Giles, and Anthony LaRosa
Atmos. Meas. Tech., 17, 3121–3146, https://doi.org/10.5194/amt-17-3121-2024,https://doi.org/10.5194/amt-17-3121-2024, 2024
Short summary
Assessment of the spectral misalignment effect (SMILE) on EarthCARE's Multi-Spectral Imager aerosol and cloud property retrievals
Nicole Docter, Anja Hünerbein, David P. Donovan, Rene Preusker, Jürgen Fischer, Jan Fokke Meirink, Piet Stammes, and Michael Eisinger
Atmos. Meas. Tech., 17, 2507–2519, https://doi.org/10.5194/amt-17-2507-2024,https://doi.org/10.5194/amt-17-2507-2024, 2024
Short summary
Shortwave Array Spectroradiometer-Hemispheric (SAS-He): Design and Evaluation
Evgueni Kassianov, Connor Flynn, James Barnard, Brian Ermold, and Jennifer Comstock
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-13,https://doi.org/10.5194/amt-2024-13, 2024
Revised manuscript accepted for AMT
Short summary
The EarthCARE lidar cloud and aerosol profile processor (A-PRO): the A-AER, A-EBD, A-TC and A-ICE products
David Patrick Donovan, Gerd-Jan van Zadelhoff, and Ping Wang
EGUsphere, https://doi.org/10.5194/egusphere-2024-218,https://doi.org/10.5194/egusphere-2024-218, 2024
Short summary
The Langley ratio method, a new approach for transferring photometer calibration from direct sun measurements
Antonio Fernando Almansa, África Barreto, Natalia Kouremeti, Ramiro González, Akriti Masoom, Carlos Toledano, Julian Gröbner, Rosa Delia García, Yenny González, Stelios Kazadzis, Stéphane Victori, Óscar Álvarez, Fabrice Maupin, Virgilio Carreño, Victoria Eugenia Cachorro, and Emilio Cuevas
Atmos. Meas. Tech., 17, 659–675, https://doi.org/10.5194/amt-17-659-2024,https://doi.org/10.5194/amt-17-659-2024, 2024
Short summary

Cited articles

AboEl-Fetouh, Y., O'Neill, N. T., Ranjbar, K., Hesaraki, S., Abboud, I., Fioletov, V., and Sobolewski, P. S.: Climatological-scale analysis of intensive and semi-intensive aerosol parameters derived from AERONET Arctic retrievals, J. Geophys. Res.-Atmos., 125, e2019JD031569, https://doi.org/10.1029/2019JD031569, 2020. 
Anderson, T. L., Wu, Y., Chu, D. A., Schmid, B., Redemann, J., and Dubovik, O.: Testing the MODIS satellite retrieval of aerosol fine-mode fraction, J. Geophys. Res.-Atmos., 110, D18204, https://doi.org/10.1029/2005JD005978, 2005. 
Atkinson, D. B., Massoli, P., O'Neill, N. T., Quinn, P. K., Brooks, S. D., and Lefer, B.: Comparison of in situ and columnar aerosol spectral measurements during TexAQS-GoMACCS 2006: testing parameterizations for estimating aerosol fine mode properties, Atmos. Chem. Phys., 10, 51–61, https://doi.org/10.5194/acp-10-51-2010, 2010. 
Atkinson, D. B., Pekour, M., Chand, D., Radney, J. G., Kolesar, K. R., Zhang, Q., Setyan, A., O'Neill, N. T., and Cappa, C. D.: Using spectral methods to obtain particle size information from optical data: applications to measurements from CARES 2010, Atmos. Chem. Phys., 18, 5499–5514, https://doi.org/10.5194/acp-18-5499-2018, 2018. 
Baibakov, K., O'Neill, N. T., Ivanescu, L., Duck, T. J., Perro, C., Herber, A., Schulz, K.-H., and Schrems, O.: Synchronous polar winter starphotometry and lidar measurements at a High Arctic station, Atmos. Meas. Tech., 8, 3789–3809, https://doi.org/10.5194/amt-8-3789-2015, 2015. 
Download
Short summary
Aerosols are atmospheric particles that vary in size (radius) from a fraction of a micrometer (µm) to around 20 µm. They tend to be either smaller than 1 µm (like smoke or pollution) or larger than 1 µm (like dust or sea salt). Their optical effect (scattering and absorbing sunlight) can be divided into FM (fine-mode) and CM (coarse-mode) parts using a cutoff radius around 1 µm or a spectral (color) technique. We present and validate a theoretical link between the types of FM and CM divisions.