Articles | Volume 18, issue 4
https://doi.org/10.5194/essd-18-2819-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-18-2819-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Small uncrewed aircraft based microphysical measurements of polar stratus cloud during the Pallas Cloud Experiment 2022
Jessica Girdwood
CORRESPONDING AUTHOR
Department of Earth, Atmospheric and Environmental Sciences, University of Manchester, Manchester, M13 9PL, UK
National Centre for Atmospheric Science, Department of Earth, Atmospheric and Environmental Sciences, University of Manchester, Manchester, M13 9PL, UK
David Brus
Finnish Meteorological Institute, Atmospheric Composition Research – Aerosols and Climate, Erik Palménin aukio 1, 00560, Helsinki, Finland
Konstantinos-Matthaios Doulgeris
Finnish Meteorological Institute, Atmospheric Composition Research – Aerosols and Climate, Erik Palménin aukio 1, 00560, Helsinki, Finland
Alexander Böhmländer
Institute of Meteorology and Climate Research, Atmospheric Aerosol Research (IMK-AAF), Karlsruhe Institute of Technology (KIT), Karlsruhe, 76121, Germany
Related authors
Alexander Böhmländer, Larissa Lacher, Kristina Höhler, David Brus, Konstantinos-Matthaios Doulgeris, Jessica Girdwood, Thomas Leisner, and Ottmar Möhler
Earth Syst. Sci. Data, 17, 6157–6164, https://doi.org/10.5194/essd-17-6157-2025, https://doi.org/10.5194/essd-17-6157-2025, 2025
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Clouds play a key role in weather and climate. Pure liquid water droplets are liquid until about −35 °C without the presence of a small subset of aerosols, ice-nucleating particles (INPs). These INPs lead to primary ice formation and therefore impact the phase of clouds. The dataset described herein provides INP concentration measurements at two altitudes. Connecting this data to synoptic conditions and ambient data might provide a better understanding of INPs in Finnish Lapland.
Jessica Girdwood, Harry Ballington, Chris Stopford, Rob Lewis, and Evelyn Hesse
Atmos. Meas. Tech., 18, 305–317, https://doi.org/10.5194/amt-18-305-2025, https://doi.org/10.5194/amt-18-305-2025, 2025
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Optical particle spectrometers (OPSs) are a class of instruments (commonly used for measurement of particle size distributions) that require calibration. Conventionally, this is performed using a known aerosol source, which has reliability issues. In this paper, we present a technique for OPS calibration which involves placing objects in the instrument that generate a known response. This fibre calibration method was more reliable than a conventional calibration.
Elena Bazo, Olga Ruiz-Galera, Lucas Alados-Arboledas, Alexander Böhmländer, Kristina Höhler, Najin Kim, Larissa Lacher, Ottmar Möhler, Frascisco José Olmo, German Perez Fogwill, Ana A. Piedehierro, Nsikanabasi Silas Umo, André Welti, Gloria Titos, and Alberto Cazorla
Atmos. Meas. Tech., 19, 2695–2713, https://doi.org/10.5194/amt-19-2695-2026, https://doi.org/10.5194/amt-19-2695-2026, 2026
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We evaluated different methods to obtain the ice nucleating particle (INP) concentration from ambient filters using GRAINS (GRAnada Ice Nuclei Spectrometer), the INP spectrometer at the Andalusian ObseRvatory of the Atmosphere (AGORA). We first characterized GRAINS and compared it to other INP devices. Then, we sampled polycarbonate and quartz filters for three months and tested three different particle extraction methods, finding general good agreement but that the INP concentration is systematically higher when using quartz filters.
Hendrik Fuchs, Niklas Illmann, Amalia Muñoz, Mila Ródenas, Bénédicte Picquet-Varrault, M. Rami Alfarra, Cecilia Arsene, Iustinian G. Bejan, David M. Bell, Merete Bilde, Alexander Böhmländer, Mixtli Campos-Pineda, Mathieu Cazaunau, Patrice Coll, Véronique Daële, Claudia Di Biagio, Michael Flynn, Paola Formenti, Hartmut Herrmann, Kristina Höhler, Thorsten Hohaus, Matthew S. Johnson, Eija Juurola, Niku Kivekäs, Jan Kaiser, Christos Kaltsonoudis, Paolo Laj, Dario Massabò, Federico Mazzei, Gordon McFiggans, Max R. McGillen, Abdelwahid Mellouki, Peter Mettke, Ottmar Möhler, Falk Mothes, Dennis Niedermeier, Anna Novelli, Romeo I. Olariu, Spyros N. Pandis, Iulia Patroescu-Klotz, Rosa Maria Petracca Altieri, Paolo Prati, Claudiu Roman, Albert A. Ruth, Harald Saathoff, Silvio Schmalfuß, Frank Stratmann, Virginia Vernocchi, Aristeidis Voliotis, Jens Voigtländer, Annele Virtanen, Andreas Wahner, Robert Wagner, John Wenger, Sören Zorn, Peter Wiesen, and Jean-Francois Doussin
EGUsphere, https://doi.org/10.5194/egusphere-2026-1612, https://doi.org/10.5194/egusphere-2026-1612, 2026
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
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Atmospheric simulation chambers enable experiments to be conducted under controlled conditions, improving our understanding of, and ability to predict, changes in the composition of the atmosphere. This is important for assessing air quality and its effects on human health, climate, the environment, and the economy. This paper describes the chambers of the European ACTRIS research infrastructure and discusses topics and directions that can be addressed in future chamber experiments.
Jonas Svensson, Ramazon Rakhmonov, Kamoliddin Nazirzoda, Abdusamad Hojiev, Tamlikho Jurabekov, Amirsho Hiyoev, Davlatjon Rahimzoda, Hizbullo Kholzoda, Muzaffar Shodmonov, David Brus, Viet Le, Krista Luoma, Adriano Lemos, Germán Perez Fogwill, Meri Ruppel, Outi Meinander, Johan Ström, Eija Asmi, and Antti Hyvärinen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-609, https://doi.org/10.5194/essd-2025-609, 2026
Preprint under review for ESSD
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This paper presents data collected at the Zarafshon River Basin and the Hydrographic Party Glacier (GGP), Tajikistan. In annual field expeditions from 2018–2025, data has been collected on the glacier, as well as including meteorological measurements and aerosols. Presented results highlight the environmental conditions that are driving environmental change in Central Asia.
Nora Bergner, Grace Marsh, Kevin Barry, Larissa Lacher, Alexander Böhmländer, Joanna Alden, Carina Ahlqvist, Ianina Altshuler, Lisa Bröder, Daniel Farinotti, Lionel Favre, Coline Guillosson, Benjamin Heutte, Kristina Höhler, Roman Pohorsky, Julian Weng, and Julia Schmale
EGUsphere, https://doi.org/10.5194/egusphere-2026-484, https://doi.org/10.5194/egusphere-2026-484, 2026
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Dust from Greenlandic glacial outwash plains can form ice in clouds, a process relevant for climate. Its ice-nucleating activity varies strongly and is largely controlled by small amounts of biological material. During summer, the influence on atmospheric ice-nucleating particles is mostly local. Lower activity compared to other high-latitude dust sources highlights the need to account for regional differences in Arctic dust.
Ross James Herbert, Larissa Lacher, Alexander Böhmländer, Mark D. Tarn, Antione Canzi, Aidan Pantoya, Evelyn Freney, Kristina Höhler, Pia Bogert, Celine Planche, Ping Tian, Michael Adams, Sarah Barr, David Brus, Nicole Büttner, Martin Daily, Konstantinos Doulgeris, Konstantinos Eleftheridadis, Grant Forster, Romy Fösig, Dimitrios Georgakopoulos, Maria Gini, A. Gannett Hallar, Radovan Krejci, Elke Ludewig, Mauro Mazzola, Ian B. McCubbin, Tuukka Petäjä, Joseph Robinson, Franziska Vogel, Paul Zieger, Stephen R. Arnold, Kenneth S. Carslaw, Naruki Hiranuma, Ottmar Möhler, and Benjamin J. Murray
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-41, https://doi.org/10.5194/essd-2026-41, 2026
Preprint under review for ESSD
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Ice formation in sub-zero clouds is influenced by airborne particles called ice-nucleating particles (INPs), whose concentrations vary substantially over short time and spatial scales. To assess the role of INPs in our climate, a comprehensive and consistent global dataset is essential. Our GloPINE model-ready dataset is a major step in this direction, comprising 36,000 measurements made using a single instrument design (PINE) over 70,000 hours of operation at 20 northern hemisphere sites.
Nicole Büttner, Romy Fösig, Alexander Böhmländer, Larissa Lacher, Franziska Vogel, Mark Tarn, Pia Bogert, Jens Nadolny, Benjamin Murray, and Ottmar Möhler
EGUsphere, https://doi.org/10.5194/egusphere-2025-5586, https://doi.org/10.5194/egusphere-2025-5586, 2025
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
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We developed a new Python software tool that standardises and automates the analysis of data from a cloud simulation chamber. It identifies ice-forming particles in the atmosphere and ensures consistent data quality through built-in checks, making results more comparable across studies. We also analysed measurement data to provide recommendations for improving instrument reliability and long-term monitoring of atmospheric ice-forming particles. This helps to better understand how clouds behave.
Sami D. Harni, Lasse Johansson, Jarkko V. Niemi, Ville Silvonen, Juan Andrés Casquero-Vera, Anu Kousa, Krista Luoma, Viet Le, David Brus, Konstantinos Doulgeris, Topi Rönkkö, Hanna E. Manninen, Tuukka Petäjä, and Hilkka Timonen
Atmos. Chem. Phys., 25, 18719–18738, https://doi.org/10.5194/acp-25-18719-2025, https://doi.org/10.5194/acp-25-18719-2025, 2025
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A three-month-long measurement campaign was conducted at Espoo, Finland, in spring 2023. The measurement campaign studied the effect of the noise barrier on pollutant concentration gradients on the side of a major highway. The studied pollutants included PM10, PM2.5, lung deposited surface area (LDSA), particle number concentration (PNC), NO2, and black carbon (BC). The noise barrier was found to be effective in reducing, especially the concentration of particulate pollutants.
Kajal Julaha, Vladimír Ždímal, Saliou Mbengue, David Brus, and Naděžda Zíková
Atmos. Chem. Phys., 25, 17933–17951, https://doi.org/10.5194/acp-25-17933-2025, https://doi.org/10.5194/acp-25-17933-2025, 2025
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This study used drones for vertical profiling of black carbon and particle number at rural and urban sites in Czechia. With aerosol drying, drone measurements matched with fixed instruments; without drying, black carbon was significantly overestimated. Rural profiles were more stratified in winter, while urban summer profiles were well-mixed. These findings can help improve air-quality monitoring and policies by capturing vertical pollution structures that ground stations cannot resolve.
Konstantinos Matthaios Doulgeris, Ville Kaikkonen, Harri Juttula, Eero Molkoselkä, Anssi Mäkynen, and David Brus
Earth Syst. Sci. Data, 17, 6497–6506, https://doi.org/10.5194/essd-17-6497-2025, https://doi.org/10.5194/essd-17-6497-2025, 2025
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We present data collected from ground-based cloud instruments that measured cloud droplets in autumn 2022 in northern Finland. The aim of the research was to improve understanding of how clouds form and behave in cold regions. Measurements were taken directly inside clouds and include information on droplet sizes, water content, and weather conditions. The results support better climate and weather prediction.
Alexander Böhmländer, Larissa Lacher, Kristina Höhler, David Brus, Konstantinos-Matthaios Doulgeris, Jessica Girdwood, Thomas Leisner, and Ottmar Möhler
Earth Syst. Sci. Data, 17, 6157–6164, https://doi.org/10.5194/essd-17-6157-2025, https://doi.org/10.5194/essd-17-6157-2025, 2025
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Clouds play a key role in weather and climate. Pure liquid water droplets are liquid until about −35 °C without the presence of a small subset of aerosols, ice-nucleating particles (INPs). These INPs lead to primary ice formation and therefore impact the phase of clouds. The dataset described herein provides INP concentration measurements at two altitudes. Connecting this data to synoptic conditions and ambient data might provide a better understanding of INPs in Finnish Lapland.
Alexander Böhmländer, Larissa Lacher, Romy Fösig, Nicole Büttner, Jens Nadolny, David Brus, Konstantinos-Matthaios Doulgeris, and Ottmar Möhler
Earth Syst. Sci. Data, 17, 6165–6171, https://doi.org/10.5194/essd-17-6165-2025, https://doi.org/10.5194/essd-17-6165-2025, 2025
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Cloud-aerosol interactions lead to a phase change of water droplets inside the atmosphere. One of these interactions happens due to a small subset of aerosols, ice-nucleating particles (INPs). These INPs lead to the freezing of pure water droplets above −35 °C, which otherwise would stay liquid. This has impacts on the weather and climate. The present data set presents a unique data set with a high temporal resolution.
David Brus, Viet Le, Joel Kuula, and Konstantinos Doulgeris
Earth Syst. Sci. Data, 17, 5209–5219, https://doi.org/10.5194/essd-17-5209-2025, https://doi.org/10.5194/essd-17-5209-2025, 2025
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This paper provides datasets collected as part of the Pallas Cloud Experiment campaign in northern Finland during autumn of 2022. We provide an overview of a custom-built drone backpack for air quality and atmospheric state variable measurements carried on top of a consumer-grade drone (DJI Mavic 2 Pro). Moreover, we describe the flight strategies and provide an overview of the datasets obtained, including a description of the measurements against a reference for data validation.
Jürgen Gratzl, Alexander Böhmländer, Sanna Pätsi, Clara-E. Pogner, Markus Gorfer, David Brus, Konstantinos Matthaios Doulgeris, Florian Wieland, Eija Asmi, Annika Saarto, Ottmar Möhler, Dominik Stolzenburg, and Hinrich Grothe
Atmos. Chem. Phys., 25, 12007–12035, https://doi.org/10.5194/acp-25-12007-2025, https://doi.org/10.5194/acp-25-12007-2025, 2025
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We studied particles in the air over 1 year in the Finnish sub-Arctic to understand how biological particles affect ice formation in clouds. We found that fungal spores are the main contributors to ice formation at warmer temperatures. These particles are released locally and vary with the weather. Our results also show that we know very little about which fungi can form ice in the atmosphere, highlighting a major gap in our understanding of how nature influences weather and climate.
Alexander Böhmländer, Larissa Lacher, David Brus, Konstantinos-Matthaios Doulgeris, Zoé Brasseur, Matthew Boyer, Joel Kuula, Thomas Leisner, and Ottmar Möhler
Atmos. Meas. Tech., 18, 3959–3971, https://doi.org/10.5194/amt-18-3959-2025, https://doi.org/10.5194/amt-18-3959-2025, 2025
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Clouds and aerosol are important for weather and climate. Typically, pure water cloud droplets stay liquid until around −35 °C, unless they come into contact with ice-nucleating particles (INPs). INPs are a rare subset of aerosol particles. Using uncrewed aerial vehicles (UAVs), it is possible to collect aerosol particles and analyse their ice-nucleating ability. This study describes the test and validation of a sampling set-up that can be used to collect aerosol particles onto a filter.
Jürgen Gratzl, David Brus, Konstantinos Doulgeris, Alexander Böhmländer, Ottmar Möhler, and Hinrich Grothe
Earth Syst. Sci. Data, 17, 3975–3985, https://doi.org/10.5194/essd-17-3975-2025, https://doi.org/10.5194/essd-17-3975-2025, 2025
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Near-real time monitoring of airborne biological particles like fungal spores or pollen grains is of great interest for two main reasons: to improve atmospheric allergen forecasts and to deepen the understanding of how bio-aerosols influence cloud formation. Here, we measured fluorescent bio-aerosols in the Finnish sub-Arctic with a high time resolution. A data set that might improve our understanding of biosphere–cloud interactions and the dynamics of bio-aerosols in the atmosphere.
John Backman, Krista Luoma, Henri Servomaa, Ville Vakkari, and David Brus
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-284, https://doi.org/10.5194/essd-2025-284, 2025
Revised manuscript has not been submitted
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This work describes the in-situ aerosol measurements at the Arctic Sammaltunturi measurement station in Pallas in northern Finland. This data paper describes the instruments and the data post processing of key aerosol particle measurements that are relevant for cloud properties. Data reported here are part of the Pallas Cloud Experiment in 2022 (PaCE2022).
Viet Le, Konstantinos Matthaios Doulgeris, Mika Komppula, John Backman, Gholamhossein Bagheri, Eberhard Bodenschatz, and David Brus
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-148, https://doi.org/10.5194/essd-2025-148, 2025
Preprint withdrawn
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This manuscript presents datasets collected during the Pallas Cloud Experiment in northern Finland during the autumn of 2022. We provide an overview of the payload that measured meteorological, cloud, and aerosol properties, and was deployed on tethered balloon systems across 21 flights. Additionally, we describe the datasets obtained, including details of the instruments on the payload.
Jessica Girdwood, Harry Ballington, Chris Stopford, Rob Lewis, and Evelyn Hesse
Atmos. Meas. Tech., 18, 305–317, https://doi.org/10.5194/amt-18-305-2025, https://doi.org/10.5194/amt-18-305-2025, 2025
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Optical particle spectrometers (OPSs) are a class of instruments (commonly used for measurement of particle size distributions) that require calibration. Conventionally, this is performed using a known aerosol source, which has reliability issues. In this paper, we present a technique for OPS calibration which involves placing objects in the instrument that generate a known response. This fibre calibration method was more reliable than a conventional calibration.
Konstantinos Matthaios Doulgeris, Ville Vakkari, Ewan J. O'Connor, Veli-Matti Kerminen, Heikki Lihavainen, and David Brus
Atmos. Chem. Phys., 23, 2483–2498, https://doi.org/10.5194/acp-23-2483-2023, https://doi.org/10.5194/acp-23-2483-2023, 2023
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We investigated how different long-range-transported air masses can affect the microphysical properties of low-level clouds in a clean subarctic environment. A connection was revealed. Higher values of cloud droplet number concentrations were related to continental air masses, whereas the lowest values of number concentrations were related to marine air masses. These were characterized by larger cloud droplets. Clouds in all regions were sensitive to increases in cloud number concentration.
Zoé Brasseur, Dimitri Castarède, Erik S. Thomson, Michael P. Adams, Saskia Drossaart van Dusseldorp, Paavo Heikkilä, Kimmo Korhonen, Janne Lampilahti, Mikhail Paramonov, Julia Schneider, Franziska Vogel, Yusheng Wu, Jonathan P. D. Abbatt, Nina S. Atanasova, Dennis H. Bamford, Barbara Bertozzi, Matthew Boyer, David Brus, Martin I. Daily, Romy Fösig, Ellen Gute, Alexander D. Harrison, Paula Hietala, Kristina Höhler, Zamin A. Kanji, Jorma Keskinen, Larissa Lacher, Markus Lampimäki, Janne Levula, Antti Manninen, Jens Nadolny, Maija Peltola, Grace C. E. Porter, Pyry Poutanen, Ulrike Proske, Tobias Schorr, Nsikanabasi Silas Umo, János Stenszky, Annele Virtanen, Dmitri Moisseev, Markku Kulmala, Benjamin J. Murray, Tuukka Petäjä, Ottmar Möhler, and Jonathan Duplissy
Atmos. Chem. Phys., 22, 5117–5145, https://doi.org/10.5194/acp-22-5117-2022, https://doi.org/10.5194/acp-22-5117-2022, 2022
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The present measurement report introduces the ice nucleation campaign organized in Hyytiälä, Finland, in 2018 (HyICE-2018). We provide an overview of the campaign settings, and we describe the measurement infrastructure and operating procedures used. In addition, we use results from ice nucleation instrument inter-comparison to show that the suite of these instruments deployed during the campaign reports consistent results.
Joseph Girdwood, Warren Stanley, Chris Stopford, and David Brus
Atmos. Meas. Tech., 15, 2061–2076, https://doi.org/10.5194/amt-15-2061-2022, https://doi.org/10.5194/amt-15-2061-2022, 2022
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UAVs have great potential to be used for airborne measurements of cloud and aerosol properties, which are of particular importance due to the largely uncharacterised nature of such phenomena. However, since UAVs are a new tool in atmospheric physics expensive platform validation and characterisation of UAV-instrument combinations needs to be performed. This paper presents an evaluation of a fixed-wing UAV in combination with an instrument that measures cloud droplet diameter.
Konstantinos Matthaios Doulgeris, Heikki Lihavainen, Anti-Pekka Hyvärinen, Veli-Matti Kerminen, and David Brus
Earth Syst. Sci. Data, 14, 637–649, https://doi.org/10.5194/essd-14-637-2022, https://doi.org/10.5194/essd-14-637-2022, 2022
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We produced and summarized data sets obtained from two cloud ground-based spectrometers (CAPS and FSSP-100 ground setups) during 8 years of Pallas Cloud Experiment campaigns conducted in autumn from 2004 until 2019 along with several meteorological variables. The campaigns took place in the Finnish sub-Arctic region in a clear environment in temperatures that were usually below zero. This data set provides a helpful contribution to cloud microphysics processes.
David Brus, Jani Gustafsson, Osku Kemppinen, Gijs de Boer, and Anne Hirsikko
Earth Syst. Sci. Data, 13, 2909–2922, https://doi.org/10.5194/essd-13-2909-2021, https://doi.org/10.5194/essd-13-2909-2021, 2021
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This publication summarizes measurements collected and datasets generated by the Finnish Meteorological Institute and Kansas State University teams during the LAPSE-RATE campaign that took place in San Luis Valley, Colorado, during summer 2018. We provide an overview of the rotorcraft and offer insights into the payloads that were used. We describe the teams’ scientific goals, flight strategies, and the datasets, including a description of the measurement validation techniques applied.
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Short summary
In-situ data of cloud microphysics is essential for targeted studies of cloud processes, validating remote sensing, and both assessing and improving the accuracy of weather and climate models. In this work we adopt a novel technique using a small uncrewed aircraft (SUA) and a bespoke sensor to produce vertical profiles of cloud microphysical parameters. The data are publicly available from https://zenodo.org/records/14756233.
In-situ data of cloud microphysics is essential for targeted studies of cloud processes,...
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