Articles | Volume 15, issue 9
https://doi.org/10.5194/amt-15-2993-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-2993-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 May 2022
Research article |
| 13 May 2022
| 13 May 2022
Intercomparison of holographic imaging and single-particle forward light scattering in situ measurements of liquid clouds in changing atmospheric conditions
Finnish Meteorological Institute, Atmospheric Research Centre of
Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Ari Leskinen
Finnish Meteorological Institute, Atmospheric Research Centre of
Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Department of Applied Physics, Univ. of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Ville A. Kaikkonen
Unit of Measurement Technology, University of Oulu, Technology Park P.O. Box 127, 87400 Kajaani, Finland
Eero O. Molkoselkä
Optoelectronics and Measurement Techniques Unit, University of Oulu, P.O. Box 4500, 90014 Oulu, Finland
Anssi J. Mäkynen
Unit of Measurement Technology, University of Oulu, Technology Park P.O. Box 127, 87400 Kajaani, Finland
Optoelectronics and Measurement Techniques Unit, University of Oulu, P.O. Box 4500, 90014 Oulu, Finland
Jorma Joutsensaari
Department of Applied Physics, Univ. of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Silvia Calderon
Finnish Meteorological Institute, Atmospheric Research Centre of
Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Sami Romakkaniemi
Finnish Meteorological Institute, Atmospheric Research Centre of
Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Mika Komppula
Finnish Meteorological Institute, Atmospheric Research Centre of
Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
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Every year a vast number of people experience allergic reactions due to exposure to airborne pollen. These symptoms are concentration dependent; thus accurate information about the pollen load in the atmosphere is essential. Moreover, pollen grains and fragments of it are likely to contribute to cloud processes and suppress precipitation. Here, we estimate the concentration and cloud-relevant parameters of birch pollen in the atmosphere using observations from a PollyXT and a CL61 ceilometer.
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Maria Filioglou, Ari Leskinen, Ville Vakkari, Ewan O'Connor, Minttu Tuononen, Pekko Tuominen, Samuli Laukkanen, Linnea Toiviainen, Annika Saarto, Xiaoxia Shang, Petri Tiitta, and Mika Komppula
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Atmos. Chem. Phys., 22, 12873–12905, https://doi.org/10.5194/acp-22-12873-2022, https://doi.org/10.5194/acp-22-12873-2022, 2022
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We provide the first extensive comparison of detailed aerosol size distribution trends between in situ observations from Europe and five different earth system models. We investigated aerosol modes (nucleation, Aitken, and accumulation) separately and were able to show the differences between measured and modeled trends and especially their seasonal patterns. The differences in model results are likely due to complex effects of several processes instead of certain specific model features.
Silvia M. Calderón, Juha Tonttila, Angela Buchholz, Jorma Joutsensaari, Mika Komppula, Ari Leskinen, Liqing Hao, Dmitri Moisseev, Iida Pullinen, Petri Tiitta, Jian Xu, Annele Virtanen, Harri Kokkola, and Sami Romakkaniemi
Atmos. Chem. Phys., 22, 12417–12441, https://doi.org/10.5194/acp-22-12417-2022, https://doi.org/10.5194/acp-22-12417-2022, 2022
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The spatial and temporal restrictions of observations and oversimplified aerosol representation in large eddy simulations (LES) limit our understanding of aerosol–stratocumulus interactions. In this closure study of in situ and remote sensing observations and outputs from UCLALES–SALSA, we have assessed the role of convective overturning and aerosol effects in two cloud events observed at the Puijo SMEAR IV station, Finland, a diurnal-high aerosol case and a nocturnal-low aerosol case.
Marje Prank, Juha Tonttila, Jaakko Ahola, Harri Kokkola, Thomas Kühn, Sami Romakkaniemi, and Tomi Raatikainen
Atmos. Chem. Phys., 22, 10971–10992, https://doi.org/10.5194/acp-22-10971-2022, https://doi.org/10.5194/acp-22-10971-2022, 2022
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Ajit Ahlawat, Kay Weinhold, Jesus Marval, Paolo Tronville, Ari Leskinen, Mika Komppula, Holger Gerwig, Lars Gerling, Stephan Weber, Rikke Bramming Jørgensen, Thomas Nørregaard Jensen, Marouane Merizak, Ulrich Vogt, Carla Ribalta, Mar Viana, Andre Schmitz, Maria Chiesa, Giacomo Gerosa, Lothar Keck, Markus Pesch, Gerhard Steiner, Thomas Krinke, Torsten Tritscher, Wolfram Birmili, and Alfred Wiedensohler
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-155, https://doi.org/10.5194/amt-2022-155, 2022
Revised manuscript not accepted
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Jaakko Ahola, Tomi Raatikainen, Muzaffer Ege Alper, Jukka-Pekka Keskinen, Harri Kokkola, Antti Kukkurainen, Antti Lipponen, Jia Liu, Kalle Nordling, Antti-Ilari Partanen, Sami Romakkaniemi, Petri Räisänen, Juha Tonttila, and Hannele Korhonen
Atmos. Chem. Phys., 22, 4523–4537, https://doi.org/10.5194/acp-22-4523-2022, https://doi.org/10.5194/acp-22-4523-2022, 2022
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Xiaoxia Shang, Holger Baars, Iwona S. Stachlewska, Ina Mattis, and Mika Komppula
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Tomi Raatikainen, Marje Prank, Jaakko Ahola, Harri Kokkola, Juha Tonttila, and Sami Romakkaniemi
Atmos. Chem. Phys., 22, 3763–3778, https://doi.org/10.5194/acp-22-3763-2022, https://doi.org/10.5194/acp-22-3763-2022, 2022
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Jessica Slater, Hugh Coe, Gordon McFiggans, Juha Tonttila, and Sami Romakkaniemi
Atmos. Chem. Phys., 22, 2937–2953, https://doi.org/10.5194/acp-22-2937-2022, https://doi.org/10.5194/acp-22-2937-2022, 2022
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Sampo Vepsäläinen, Silvia M. Calderón, Jussi Malila, and Nønne L. Prisle
Atmos. Chem. Phys., 22, 2669–2687, https://doi.org/10.5194/acp-22-2669-2022, https://doi.org/10.5194/acp-22-2669-2022, 2022
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Atmospheric aerosols act as seeds for cloud formation. Many aerosols contain surface active material that accumulates at the surface of growing droplets. This can affect cloud droplet activation, but the broad significance of the effect and the best way to model it are still debated. We compare predictions of six different model approaches to surface activity of organic aerosols and find significant differences between the models, especially with large fractions of organics in the dry particles.
Kimmo Korhonen, Thomas Bjerring Kristensen, John Falk, Vilhelm B. Malmborg, Axel Eriksson, Louise Gren, Maja Novakovic, Sam Shamun, Panu Karjalainen, Lassi Markkula, Joakim Pagels, Birgitta Svenningsson, Martin Tunér, Mika Komppula, Ari Laaksonen, and Annele Virtanen
Atmos. Chem. Phys., 22, 1615–1631, https://doi.org/10.5194/acp-22-1615-2022, https://doi.org/10.5194/acp-22-1615-2022, 2022
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We investigated the ice-nucleating abilities of particulate emissions from a modern diesel engine using the portable ice-nuclei counter SPIN, a continuous-flow diffusion chamber instrument. Three different fuels were studied without blending, including fossil diesel and two renewable fuels, testing different emission aftertreatment systems and photochemical aging. We found that the diesel emissions were inefficient ice nuclei, and aging had no or little effect on their ice-nucleating abilities.
Peifeng Su, Jorma Joutsensaari, Lubna Dada, Martha Arbayani Zaidan, Tuomo Nieminen, Xinyang Li, Yusheng Wu, Stefano Decesari, Sasu Tarkoma, Tuukka Petäjä, Markku Kulmala, and Petri Pellikka
Atmos. Chem. Phys., 22, 1293–1309, https://doi.org/10.5194/acp-22-1293-2022, https://doi.org/10.5194/acp-22-1293-2022, 2022
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We regarded the banana shapes in the surface plots as a special kind of object (similar to cats) and applied an instance segmentation technique to automatically identify the new particle formation (NPF) events (especially the strongest ones), in addition to their growth rates, start times, and end times. The automatic method generalized well on datasets collected in different sites, which is useful for long-term data series analysis and obtaining statistical properties of NPF events.
Jutta Kesti, John Backman, Ewan J. O'Connor, Anne Hirsikko, Eija Asmi, Minna Aurela, Ulla Makkonen, Maria Filioglou, Mika Komppula, Hannele Korhonen, and Heikki Lihavainen
Atmos. Chem. Phys., 22, 481–503, https://doi.org/10.5194/acp-22-481-2022, https://doi.org/10.5194/acp-22-481-2022, 2022
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In this study we combined aerosol particle measurements at the surface with a scanning Doppler lidar providing vertical profiles of the atmosphere to study the effect of different boundary layer conditions on aerosol particle properties in the understudied Arabian Peninsula region. The instrumentation used in this study enabled us to identify periods when pollution from remote sources was mixed down to the surface and initiated new particle formation in the growing boundary layer.
Ian Boutle, Wayne Angevine, Jian-Wen Bao, Thierry Bergot, Ritthik Bhattacharya, Andreas Bott, Leo Ducongé, Richard Forbes, Tobias Goecke, Evelyn Grell, Adrian Hill, Adele L. Igel, Innocent Kudzotsa, Christine Lac, Bjorn Maronga, Sami Romakkaniemi, Juerg Schmidli, Johannes Schwenkel, Gert-Jan Steeneveld, and Benoît Vié
Atmos. Chem. Phys., 22, 319–333, https://doi.org/10.5194/acp-22-319-2022, https://doi.org/10.5194/acp-22-319-2022, 2022
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Fog forecasting is one of the biggest problems for numerical weather prediction. By comparing many models used for fog forecasting with others used for fog research, we hoped to help guide forecast improvements. We show some key processes that, if improved, will help improve fog forecasting, such as how water is deposited on the ground. We also showed that research models were not themselves a suitable baseline for comparison, and we discuss what future observations are required to improve them.
Xiaoxia Shang, Tero Mielonen, Antti Lipponen, Elina Giannakaki, Ari Leskinen, Virginie Buchard, Anton S. Darmenov, Antti Kukkurainen, Antti Arola, Ewan O'Connor, Anne Hirsikko, and Mika Komppula
Atmos. Meas. Tech., 14, 6159–6179, https://doi.org/10.5194/amt-14-6159-2021, https://doi.org/10.5194/amt-14-6159-2021, 2021
Short summary
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The long-range-transported smoke particles from a Canadian wildfire event were observed with a multi-wavelength Raman polarization lidar and a ceilometer over Kuopio, Finland, in June 2019. The optical properties and the mass concentration estimations were reported for such aged smoke aerosols over northern Europe.
Stephanie Bohlmann, Xiaoxia Shang, Ville Vakkari, Elina Giannakaki, Ari Leskinen, Kari E. J. Lehtinen, Sanna Pätsi, and Mika Komppula
Atmos. Chem. Phys., 21, 7083–7097, https://doi.org/10.5194/acp-21-7083-2021, https://doi.org/10.5194/acp-21-7083-2021, 2021
Short summary
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Measurements of the multi-wavelength Raman polarization lidar PollyXT and a Halo Photonics StreamLine Doppler lidar have been combined with measurements of pollen type and concentration using a traditional pollen trap at the rural forest site in Vehmasmäki, Finland. Depolarization ratios were measured at three wavelengths. High depolarization ratios were detected during an event with high birch and spruce pollen concentrations and a wavelength dependence of the depolarization ratio was observed.
Ville Vakkari, Holger Baars, Stephanie Bohlmann, Johannes Bühl, Mika Komppula, Rodanthi-Elisavet Mamouri, and Ewan James O'Connor
Atmos. Chem. Phys., 21, 5807–5820, https://doi.org/10.5194/acp-21-5807-2021, https://doi.org/10.5194/acp-21-5807-2021, 2021
Short summary
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The depolarization ratio is a valuable parameter for aerosol categorization from remote sensing measurements. Here, we introduce particle depolarization ratio measurements at the 1565 nm wavelength, which is substantially longer than previously utilized wavelengths and enhances our capabilities to study the wavelength dependency of the particle depolarization ratio.
Maria Mylonaki, Elina Giannakaki, Alexandros Papayannis, Christina-Anna Papanikolaou, Mika Komppula, Doina Nicolae, Nikolaos Papagiannopoulos, Aldo Amodeo, Holger Baars, and Ourania Soupiona
Atmos. Chem. Phys., 21, 2211–2227, https://doi.org/10.5194/acp-21-2211-2021, https://doi.org/10.5194/acp-21-2211-2021, 2021
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We introduce an automated aerosol type classification method, SCAN. The output of SCAN is compared with two aerosol classification methods: (1) the Mahalanobis distance automatic aerosol type classification and (2) a neural network aerosol typing algorithm. A total of 97 free tropospheric aerosol layers from four EARLINET stations in the period 2014–2018 were classified.
Antti Ruuskanen, Sami Romakkaniemi, Harri Kokkola, Antti Arola, Santtu Mikkonen, Harri Portin, Annele Virtanen, Kari E. J. Lehtinen, Mika Komppula, and Ari Leskinen
Atmos. Chem. Phys., 21, 1683–1695, https://doi.org/10.5194/acp-21-1683-2021, https://doi.org/10.5194/acp-21-1683-2021, 2021
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The study focuses mainly on cloud-scavenging efficiency of absorbing particulate matter (mainly black carbon) but additionally covers cloud-scavenging efficiency of scattering particles and statistics of cloud condensation nuclei. The main findings give insight into how black carbon is distributed in different particle sizes and the sensitivity to cloud scavenged. The main findings are useful for large-scale modelling for evaluating cloud scavenging.
Juha Tonttila, Ali Afzalifar, Harri Kokkola, Tomi Raatikainen, Hannele Korhonen, and Sami Romakkaniemi
Atmos. Chem. Phys., 21, 1035–1048, https://doi.org/10.5194/acp-21-1035-2021, https://doi.org/10.5194/acp-21-1035-2021, 2021
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The focus of this study is on rain enhancement by deliberate injection of small particles into clouds (
cloud seeding). The particles, usually released from an aircraft, are expected to enhance cloud droplet growth, but its practical feasibility is somewhat uncertain. To improve upon this, we simulate the seeding effects with a numerical model. The model reproduces the main features seen in field observations, with a strong sensitivity to the total mass of the injected particle material.
Xiaoxia Shang, Elina Giannakaki, Stephanie Bohlmann, Maria Filioglou, Annika Saarto, Antti Ruuskanen, Ari Leskinen, Sami Romakkaniemi, and Mika Komppula
Atmos. Chem. Phys., 20, 15323–15339, https://doi.org/10.5194/acp-20-15323-2020, https://doi.org/10.5194/acp-20-15323-2020, 2020
Short summary
Short summary
Measurements of the multi-wavelength Raman polarization lidar PollyXT have been combined with measurements of pollen type and concentration using a traditional pollen sampler at a rural forest site in Kuopio, Finland. The depolarization ratio was enhanced when there were pollen grains in the atmosphere, illustrating the potential of lidar to track pollen grains in the atmosphere. The depolarization ratio of pure pollen particles was assessed for birch and pine pollen using a novel algorithm.
Liqing Hao, Eetu Kari, Ari Leskinen, Douglas R. Worsnop, and Annele Virtanen
Atmos. Chem. Phys., 20, 14393–14405, https://doi.org/10.5194/acp-20-14393-2020, https://doi.org/10.5194/acp-20-14393-2020, 2020
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Our work presents the observational results of secondary organic aerosol (SOA) formation in the presence of ammonia. The particle-phase ammonium was continuously produced even after SOA formation had ceased. The gas-phase organic acids were observed to contribute to the formed particle-phase ammonium salts. This study suggests that the presence of ammonia may change the mass and chemical composition of large-size SOA particles and can potentially alter the aerosol impact on climate change.
Jessica Slater, Juha Tonttila, Gordon McFiggans, Paul Connolly, Sami Romakkaniemi, Thomas Kühn, and Hugh Coe
Atmos. Chem. Phys., 20, 11893–11906, https://doi.org/10.5194/acp-20-11893-2020, https://doi.org/10.5194/acp-20-11893-2020, 2020
Short summary
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The feedback effect between aerosol particles, radiation and meteorology reduces turbulent motion and results in increased surface aerosol concentrations during Beijing haze. Observational analysis and regional modelling studies have examined the feedback effect but these studies are limited. In this work, we set up a high-resolution model for the Beijing environment to examine the sensitivity of the aerosol feedback effect to initial meteorological conditions and aerosol loading.
Jaakko Ahola, Hannele Korhonen, Juha Tonttila, Sami Romakkaniemi, Harri Kokkola, and Tomi Raatikainen
Atmos. Chem. Phys., 20, 11639–11654, https://doi.org/10.5194/acp-20-11639-2020, https://doi.org/10.5194/acp-20-11639-2020, 2020
Short summary
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In this study, we present an improved cloud model that reproduces the behaviour of mixed-phase clouds containing liquid droplets and ice crystals in more detail than before. This model is a convenient computational tool that enables the study of phenomena that cannot fit into a laboratory. These clouds have a significant role in climate, but they are not yet properly understood. Here, we show the advantages of the new model in a case study focusing on Arctic mixed-phase clouds.
Konstantinos-Matthaios Doulgeris, Mika Komppula, Sami Romakkaniemi, Antti-Pekka Hyvärinen, Veli-Matti Kerminen, and David Brus
Atmos. Meas. Tech., 13, 5129–5147, https://doi.org/10.5194/amt-13-5129-2020, https://doi.org/10.5194/amt-13-5129-2020, 2020
Short summary
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We intercompared three cloud spectrometers ground setups in conditions with frequently occurring supercooled clouds. The measurements were conducted during the Pallas Cloud Experiment (PaCE) in 2013, in the Finnish sub-Arctic region at Sammaltunturi station. The main meteorological parameters influencing the spectrometers' performance was the wind direction. Final recommendations and our view on the main limitations of each spectrometer ground setup are presented.
Innocent Kudzotsa, Harri Kokkola, Juha Tonttila, Tomi Raatikainen, and Sami Romakkaniemi
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-851, https://doi.org/10.5194/acp-2020-851, 2020
Publication in ACP not foreseen
Cited articles
Batina, L., Gierlichs, B., Prouff, E., Rivain, M., Standaert, F.-X., and
Veyrat-Charvillon, N.: Mutual
Information Analysis: a Comprehensive Study, J. Cryptol., 24, 269–291, https://doi.org/10.1007/s00145-010-9084-8, 2011.
Baumgardner, D., Brenguier, J., Bucholtz, A., Coe, H., DeMott, P., Garrett,
T., Gayet, J., Hermann, M., Heymsfield, A., Korolev, A., Krämer, M.,
Petzold, A., Strapp, W., Pilewskie, P., Taylor, J., Twohy, C., Wendisch, M.,
Bachalo,W., and Chuang, P.: Airborne instruments to measure atmospheric
aerosol particles, clouds and radiation: A cook's tour of mature and
emerging technology, Atmos. Res., 102, 10–29,
https://doi.org/10.1016/j.atmosres.2011.06.021, 2011.
Baumgardner, D., Newton, R., Krämer, M., Meyer, J., Beyer, A., Wendisch,
M., and Vochezer, P.: The Cloud Particle Spectrometer with Polarization
Detection (CPSPD): A next generation open-path cloud probe for
distinguishing liquid cloud droplets from ice crystals, Atmos. Res., 142,
2–14, https://doi.org/10.1016/j.atmosres.2013.12.010, 2014.
Beck, A, Henneberger, J., Schöpfer, S., Fugal, J., and Lohmann, U.: HoloGondel: in situ observations
on a cable car in the Swiss Alps using a holographic imager, Atmos. Meas. Tech., 10, 459–476,
https://doi.org/10.5194/amt-10-459-2017, 2017.
Bohren, C. F. and Huffman, D. R: Absorption and scattering of light by
small particles, John Wiley & Sons, New York, NY, USA, https://doi.org/10.1002/9783527618156, 1983.
Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster, P.,
Kerminen, V.-M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh, S. K.,
Sherwood, S., Stevens, B., and Zhang, X. Y.: Clouds and aerosols, in: Climate
Change 2013: The Physical Science Basis, Contribution of Working Group I to
the Fifth Assessment Report of the Intergovernmental Panel on Climate
Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K.,
Doschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge
University Press, 571–657, https://doi.org/10.1017/CBO9781107415324.016, 2013.
Bradski, G.: The OpenCV Library, Dr. Dobb's Journal of Software Tools, 25,
120–125, 2000.
Dawe, J. T. and Austin, P. H.: Direct entrainment and detrainment rate
distributions of individual shallow cumulus clouds in an LES, Atmos. Chem.
Phys., 13, 7795–7811, https://doi.org/10.5194/acp-13-7795-2013, 2013.
Doulgeris, K.-M., Komppula, M., Romakkaniemi, S., Hyvärinen, A.-P.,
Kerminen, V.-M., and Brus, D.: In situ cloud ground-based measurements in
the Finnish sub-arctic: intercomparison of three cloud spectrometer setups,
Atmos. Meas. Tech., 13, 5129–5147, https://doi.org/10.5194/amt-13-5129-2020, 2020.
Droplet Measurement Technologies: Data Analysis User's Guide Chapter I:
Single Particle Light Scattering (DOC-0222, Rev A), Droplet
Measurement Technologies, Inc., Boulder, USA, 2009.
Finstad, K. J., Lozowski, E. P., and Makkonen, L.: On the median volume
approximation for droplet collision efficiency, J. Atmos. Sci., 45,
4008–4012, https://doi.org/10.1175/1520-0469(1988)045<4008:OTMVDA>2.0.CO;2, 1988.
Fišak, J., Řezakova, Ď., and Mattanen J.: Calculated and
measured values of liquid water content in clean and polluted environment,
Stud. Geophys. Geod., 50, 121–130, https://doi.org/10.1007/s11200-006-0006-z, 2006.
Fugal, J. P. and Shaw, R. A.: Cloud particle size distributions measured
with an airborne digital in-line holographic instrument, Atmos. Meas. Tech.,
2, 259–271, https://doi.org/10.5194/amt-2-259-2009, 2009.
Fugal, J. P., Schultz, T. J., and Shaw, R. A.: Practical methods for
automated reconstruction and characterization of particles in digital
in-line holograms, Meas. Sci. Technol., 20, 075501,
https://doi.org/10.1088/0957-0233/20/7/075501, 2009.
Glenn, I. B., Feingold, G., Gristey, J. J., and Yamaguchi, T.:
Quantification of the radiative effect of aerosol–cloud interactions in
shallow continental cumulus clouds, J. Atmos. Sci., 77, 2905–2920,
https://doi.org/10.1175/JAS-D-19-0269.1, 2020.
Gonser, S. G., Klemm, O., Griessbaum, F., Chang, S.-C., Chu, H.-S., and
Hsia, Y.-J.: The relation between humidity and liquid water content in fog:
An experimental approach, Pure Appl. Geophys., 169, 821–833 https://doi.org/10.1007/s00024-011-0270-x, 2011.
Guyot, G., Gourbeyre, C., Febvre, G., Shcherbakov, V., Burnet, F., Dupont,
J.-C., Sellegri, K., and Jourdan, O.: Quantitative evaluation of seven
optical sensors for cloud microphysical measurements at the Puy-de-Dôme
Observatory, France, Atmos. Meas. Tech., 8, 4347–4367,
https://doi.org/10.5194/amt-8-4347-2015, 2015.
Harvey, A. H., Gallagher, J. S., and Sengers, J. M. H. L.: Revised
Formulation for the Refractive Index of Water and Steam as a Function of
Wavelength, Temperature and Density, J. Phys. Chem.
Ref. Data, 27, 761–774. https://doi.org/10.1063/1.556029, 1998.
Henneberger, J., Fugal, J. P., Stetzer, O., and Lohmann, U.: HOLIMO II: a
digital holographic instrument for ground-based in situ observations of
microphysical properties of mixed-phase clouds, Atmos. Meas. Tech., 6,
2975–2987, https://doi.org/10.5194/amt-6-2975-2013, 2013.
Hoyle, C. R., Webster, C. S., Rieder, H. R., Nenes, A., Hammer, E.,
Herrmann, E., Gysel, M., Bukowiescki, N., Weingartner, E., Steinbacker, M.,
and Baltensberger, U.: Chemical and physical influences on aerosol
activation in liquid clouds: a study based on observation from the
Jungfraujoch, Switzerland, Atmos. Chem. Phys., 16, 4043–4061,
https://doi.org/10.5194/acp-16-4043-2016, 2016.
IPCC: Climate Change 2007: Impacts, Adaptation and Vulnerability,
Contribution of Working Group II to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change, edited by: Parry, M. L., Canziani, O. F.,
Palutikof, J. P., van der Linden, P. J., and Hanson, C. E., Cambridge
University Press, ISBN 978 0521 88010-7 Hardback, Cambridge, UK, 976 pp., 2007.
IPCC: Climate Change 2021: The Physical Science Basis, Contribution of
Working Group I to the Sixth Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, J.
B. R., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L.,
Gomis, M. I., Huang, M., Leitzell, K., Lonnoy, E., and Zhou, B., Cambridge University Press, Cambridge, United Kingdom and New York, NY,
USA, in press, https://doi.org/10.1017/9781009157896, 2021.
Madonna, F., Rosoldi, M., Güldner, J., Haefele, A., Kivi, R., Cadeddu,
M. P., Sisterson, D., and Pappalardo, G.: Quantifying the value of redundant
measurements at GCOS Reference Upper-Air Network sites, Atmos. Meas. Tech.,
7, 3813–3823, https://doi.org/10.5194/amt-7-3813-2014, 2014.
Juttula, H., Kaikkonen, V., and Mäkynen, A.: Study of the Aerodynamic Sampling Effects of a
Holographic Cloud Droplet Instrument, 2020 IEEE International Instrumentation and Measurement
Technology Conference (I2MTC) 25–28 May 2020 Dubrovnik Croatia, no. 19784328, 1–5,
https://doi.org/10.1109/I2MTC43012.2020.9129363, 2020.
Kaikkonen, V. A., Molkoselkä, E. O., and Mäkynen, A. J.: A rotating
holographic imager for stationary cloud droplet and ice crystal
measurements, Opt. Rev., 27, 205–216, https://doi.org/10.1007/s10043-020-00583-y, 2020.
Knollenberg, R. G.: Techniques for Probing Cloud Microstructure, in: Clouds,
Their Formation, Optical Properties and Effects, edited by: Hobbs, P. V. and
Deepak, A., Academic Press, New York, NY, USA, 15–92, ISBN 9780323140973, 1981.
Kunkel, B. A.: Parametrization of droplet terminal velocity and extinction
coefficient in fog models, J. Clim. Appl. Meteorol., 23, 34–41,
https://doi.org/10.1175/1520-0450(1984)023<0034:PODTVA>2.0.CO;2,
1983.
Lawson, R. P., Baker, B. A., Schmitt, C. G., and Jensen, T. L.: An overview
of microphysical properties of Arctic clouds observed in May and July 1998
during FIRE ACE, J. Geophys. Res., 106, 14989–15014,
https://doi.org/10.1029/2000JD900789, 2001.
Lawson, R. P., O'Connor, D., Zmarzly, P., Weaver, K., Baker, B., and Mo, Q.:
The 2D-S (Stereo) Probe: Design and Preliminary Tests of a New Airborne,
High-Speed, High-Resolution Particle Imaging Probe, J. Atmos. Oceanic
Technol., 23, 1462–1477, 2006.
Leskinen, A., Portin, H., Komppula, M., Miettinen, P., Arola, A.,
Lihavainen, H., Hatakka, J., Laaksonen, A., and Lehtinen, K. E. J.: Overview
of the research activities and results at Puijo semi-urban measurement
station, Boreal Env. Res., 14, 576–590, 2009.
Leskinen, A., Arola, A., Komppula, M., Portin, H., Tiitta, P., Miettinen,
P., Romakkaniemi, S., Laaksonen, A., and Lehtinen, K. E. J.: Seasonal cycle
and source analyses of aerosol optical properties in a semi-urban
environment at Puijo station in Eastern Finland, Atmos. Chem. Phys., 12,
5647–5659, https://doi.org/10.5194/acp-12-5647-2012, 2012.
Li, J., Zhu, C., Chen, H., Zhao, D., Xue, L., Wang, X., Li, H., Liu, P.,
Liu, J, Zhang, C., Mu, Y., Zhang, W., Zhang, L., Herrmann, H., Li, K., Liu,
M., and Chen, J.: The evolution of cloud and aerosol microphysics at the
summit of Mt. Tai, China, Atmos. Chem. Phys., 20, 13735–13751, https://doi.org/10.5194/acp-20-13735-2020, 2020.
Lloyd, G., Choularton, T. W., Bower, K. N., Gallagher, M. W., Connolly, P.
J., Flynn, M., Farrington, R., Crosier, J., Schlenczek, O., Fugal, J., and
Henneberger, J.: The origins of ice crystals measured in mixed-phase clouds
at the high-alpine site Jungfraujoch, Atmos. Chem. Phys., 15, 12953–12969,
https://doi.org/10.5194/acp-15-12953-2015, 2015.
Lloyd, G., Choularton, T., Bower, K., Crosier, J., Gallagher, M., Flynn, M.,
Dorsey, J., Liu, D., Taylor, J. W., Schlenczek, O., Fugal, J., Borrmann, S.,
Cotton, R., Field, P., and Blyth, A.: Small ice particles at slightly
supercooled temperatures in tropical maritime convection, Atmos. Chem.
Phys., 20, 3895–3904, https://doi.org/10.5194/acp-20-3895-2020, 2020.
Madonna, F., Rosoldi, M., Güldner, J., Haefele, A., Kivi, R., Cadeddu,
M. P., Sisterson, D., and Pappalardo, G.: Quantifying the value of redundant
measurements at GCOS Reference Upper-Air Network sites, Atmos. Meas. Tech.,
7, 3813–3823, https://doi.org/10.5194/amt-7-3813-2014, 2014.
Molkoselkä, E. O.: Icemet-server: Hologram processing and cloud droplet
analysis software for ICEMET-project,
https://github.com/molkoback/icemet-server (last access: 1 May 2022), 2020.
Molkoselkä, E. O., Kaikkonen, V. A., and Mäkynen, A. J.: Measuring atmospheric icing rate in mixedphase
clouds using filtered particle data, IEEE Transactions of Instrumentation and Measurement, 70,
1–8, 7001708, https://doi.org/10.1109/TIM.2020.3035562, 2021.
Nowak, J. L., Mohammadi, M., and Malinowski, S. P.: Applicability of the
VisiSize D30 shadowgraph system for cloud microphysical measurements, Atmos.
Meas. Tech., 14, 2615–2633, https://doi.org/10.5194/amt-14-2615-2021, 2021.
Portin, H., Komppula, M., Leskinen, A., Romakkaniemi, S., Laaksonen, A., and
Lehtinen, K. E. J.: Observations of aerosol-cloud interactions at the Puijo
semi-urban measurement station, Boreal Environ. Res., 14, 641–653, 2009.
Portin, H., Leskinen, A., Hao, L., Kortelainen, A., Miettinen, P., Jaatinen,
A., Laaksonen, A., Lehtinen, K. E. J., Romakkaniemi, S., and Komppula, M.:
The effect of local sources on particle size and chemical composition and
their role in aerosol–cloud interactions at Puijo measurement station,
Atmos. Chem. Phys., 14, 6021–6034, https://doi.org/10.5194/acp-14-6021-2014, 2014.
Ragno, A. and Hobbs, P. V.: Microstructures and precipitation development
in cumulus and small cumulonimbus clouds over the warm pool of the tropical
Pacific Ocean, Q. J. Roy. Meteorol. Soc., 131, 639–673 https://doi.org/10.1256/qj.04.13,
2005.
Ramelli, F., Beck, A., Henneberger, J., and Lohmann, U.: Using a holographic
imager on a tethered balloon system for microphysical observations of
boundary layer clouds, Atmos. Meas. Tech., 13, 925-939, https://doi.org/10.5194/amt-13-925-2020, 2020.
Rolph, G., Stein, A., and Stunder, B.: Real-time Environmental Applications
and Display system: READY, Environ. Model. Softw., 95,
210–228, https://doi.org/10.1016/j.envsoft.2017.06.025, 2017.
Ruuskanen, A., Romakkaniemi, S., Kokkola, H., Arola, A., Mikkonen, S.,
Portin, H., Virtanen, A., Lehtinen, K. E. J., Komppula, M., and Leskinen,
A.: Observations on aerosol optical properties and scavenging during cloud
events, Atmos. Chem. Phys., 21, 1683–1695, https://doi.org/10.5194/acp-21-1683-2021,
2021.
Sauvageat, E., Zeder, Y., Auderset, K., Calpini, B., Clot, B., Crouzy, B.,
Konzelmann, T., Lieberherr, G., Tummon, F., and Vasilatou, K.: Real-time
pollen monitoring using digital holography, Atmos. Meas. Tech., 13,
1539–1550, https://doi.org/10.5194/amt-13-1539-2020, 2020.
Schlenczek, O., Fugal, J. P., Lloyd, G., Bower, K. N., Choularton, T. W.,
Flynn, M., Crosier, J., and Borrmann, S.: Microphysical Properties of Ice
Crystal Precipitation and Surface-Generated Ice Crystals in a High Alpine
Environment in Switzerland, J. Appl. Meteorol. Clim., 56, 433–453,
2017.
Seinfeld, J. H. and Pandis S. N.: Atmospheric Chemistry and Physics: from
Air Pollution to Climate Change, 2nd Edn., J. Wiley & Sons, New York, ISBN-10 0-471-72018-6,
2006.
Spiegel, J. K., Zieger, P., Bukowiecki, N., Hammer, E., Weingartner, E., and
Eugster, W.: Evaluating the capabilities and uncertainties of droplet
measurements for the fog droplet spectrometer (FM-100), Atmos. Meas. Tech.,
5, 2237–2260, https://doi.org/10.5194/amt-5-2237-2012, 2012.
Stein, A. F., Draxler, R. R., Rolph, G. D., Stunder, B. J. B., Cohen, M. D., and
Ngan, F.: NOAA's HYSPLIT atmospheric transport and dispersion modeling
system, Bull. Am. Meteorol. Soc., 96, 2059–2077,
2015.
Westbeld, A., Klemm, O., Griesbaum, F., Sträter, E., Larrain H., Osses, P., and Cereceda, P.: Fog deposition to a Tillandsia carpet in the Atacama
Desert, Ann. Geophys., 27, 3571–3576, https://doi.org/10.5194/angeo-27-3571-2009, 2009.
Wood, R.: Stratocumulus Clouds, Mon. Weather Rev., 140, 2373–2423,
https://doi.org/10.1175/MWR-D-11-00121.1, 2012.
Short summary
The novel holographic imaging instrument (ICEMET) was adapted to measure the microphysical properties of liquid clouds, and these values were compared with parallel measurements of a cloud droplet spectrometer (FM-120) and particle measurements using a twin-inlet system. When the intercomparison was carried out during isoaxial sampling, our results showed good agreement in terms of variability between the instruments. This agreement was confirmed using Mutual and Pearson correlation analyses.
The novel holographic imaging instrument (ICEMET) was adapted to measure the microphysical...
