Project Leaders: Susanne Crewell, Hartwig Deneke, André Ehrlich (former PL: Andreas Macke)
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The project aims at a thorough understanding of Arctic mixed-phase clouds and their role in Arctic amplification by synthesizing multi-campaign airborne observations obtained over the Arctic North Atlantic, complemented by a larger-scale satellite-based analysis. With novel instrumentation developed for the Polar 5 and 6 research aircraft in phase I, the ACLOUD and AFLUX campaigns were performed, followed by MOSAiC-ACA and HALO-(AC)³ in phase II. These measurements covered periods between March and September and provided important information for case study analysis and refined retrieval and product development. Initial statistical analyses of the cloud vertical column, microphysical properties, their radiative effects, and the interaction of aerosol and clouds for different seasons and surface conditions were started, and revealed general patterns, such as a higher cloud liquid water path and less cloud ice in summer compared to spring. Depending on the turbulent mixing in the atmospheric boundary layer, the presence of sea ice can influence the source of cloud forming particles (above or below cloud). Smaller cloud droplets were found in clouds over sea ice. However, other parameters, such as the cloud vertical distribution are more complex and seasonal or regional differences are mainly related to different air masses dominating the limited campaign periods.
The majority of the airborne measurements covered cold air outbreaks (CAOs), which especially are affected by air mass transformation. Cloud transformation processes in CAOs will, thus, be the focus of our analysis in phase III. To generalize our findings, we will extend the analysis by combining the comprehensive airborne record with Arctic-wide satellite observations. Modifications of cloud properties, such as cloud morphology, the distribution of ice and liquid cloud particles, the formation of precipitation, and the cloud radiative effects during air mass transformation will be investigated. Ultimately, we aim to quantify the climatological significance and patterns of CAOs for the Arctic using the satellite perspective. The HALO-(AC)³ observations by HALO and the Polar aircraft will serve as the main basis to study mixed-phase clouds and their development in CAOs in combination with satellite data and high resolution modeling. In particular, we will focus on two stages of cloud and air mass transformation: (i) The initial formation of clouds taking place over the sea ice due to leads, cracks, and over ice-free areas of the marginal sea ice zone (MIZ); and (ii) The downstream transition of cloud morphology, e.g., from roll convection into cell convection.
Hypothesis:
The cloud formation in the initial state of CAOs impacts the downstream evolution of cloud morphology, precipitation, and cloud radiative effects.
For testing this hypothesis the work in phase III aims to answer the questions:
- How and when do transitions of cloud regimes occur in CAOs, vary regionally, and change with Arctic warming?
- Do clouds over sea ice precondition the development of clouds in CAOs?
- What are the effects of the air mass transitions on precipitation and cloud radiative forcing?
The project will contribute to the overarching Strategic Questions SQ1 and SQ2 with respect to CAOs. The evolution of boundary layer clouds and their radiative effects in CAOs will be characterized depending on the conditions over the MIZ. Due to Arctic warming (less colder air masses, more variable sea ice edge), this cloud evolution might experience changes. Quantifying the cloud radiative effects for different initial conditions will indicate, whether changes in the characteristics of CAOs will amplify the Arctic warming or not.
Achievements phase II
- A comprehensive data set has been generated through a series of (AC)³ airborne campaigns highlighting the variability of cloud properties through different seasons, weather conditions and over different surfaces (sea ice, open ocean).
- The variability of cloud fractions among the campaigns is mostly driven by the origin of air masses.
- In early summer, liquid-phase clouds have a larger effective radius, optical thickness and liquid water path compared to spring conditions.
- Larger cloud droplets and slightly reduced liquid water contents were observed over the ice-free ocean compared to sea ice, mainly driven by the surface temperature and convection processes.
- Cloud radar measurements reveal the dominance of hydrometeor fraction below 1.5 km. Satellite observations by CloudSat overestimate this occurrence by more than 30 % especially during CAOs.
Achievements phase I
Within B03, Arctic mixed–phase clouds were observed with a set of unique remote sensing (Mech et al., 2019) and in–situ instruments during ACLOUD (Wendisch et al., 2019) and AFLUX. A comprehensive characterisation of the horizontal and vertical variability of cloud properties was performed. Ambient and cloud forming aerosol particles were separated and analysed for their physical and chemical properties. Surprisingly, mixed–phase clouds and precipitating snow were frequently observed in a rather high temperature range between –13 ◦C and 0 ◦C. It was shown, that the vertical distribution of ice particles in clouds differs in cold and warm air masses (Knudsen et al., 2018a). Also, the in–situ observations identified larger cloud particle residuals over open ocean and smaller over sea ice, which indicates different pathways of cloud forming particles into the cloud: below-cloud mixing of large sea salt dominated over the open ocean and cloud top entrainment of smaller tropospheric particles over closed sea ice (Wendisch et al., 2019).
Role within (AC)³
Project Posters
| Phase III Evaluation poster 2023 | Phase II Evaluation poster 2019 | Phase I Evaluation poster 2015 |
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Project Members
Project Leader in B03 , B05 , E04 , IRTG
Institute for Geophysics and Meteorology (IGM)
University of Cologne
Pohligstr. 3
50969 Cologne
++49 (0) 221 470 5286
mail:
[email protected]
Project Leader in B03
Leibniz Insititute for Tropospheric Research (TROPOS)
Permoserstr. 15
04318 Leipzig
++49 (0) 341 2717 7168
mail:
[email protected]
Project Leader in B03 , C02
Leipzig Institute for Meteorology (LIM)
University of Leipzig
Stephanstr. 3
04103 Leipzig
++49 (0) 341 97 32874
mail:
[email protected]
PhD in B03
Institute for Geophysics and Meteorology (IGM)
University of Cologne
Pohligstr. 3
50969 Cologne
mail:
[email protected]
Postdoc in B03
Leipzig Institute for Meteorology (LIM)
University of Leipzig
Stephanstr. 3
04103 Leipzig
++49 (0) 341 97 32892
mail:
[email protected]
Senior Scientist in B03
Institute for Geophysics and Meteorology (IGM)
University of Cologne
Pohligstr. 3
50969 Cologne
++49 (0) 221 470 1776
mail:
[email protected]
PhD (associated) in B03
Institute for Geophysics and Meteorology (IGM)
University of Cologne
Pohligstr. 3
50969 Cologne
mail:
[email protected]
PhD in B03
Leipzig Institute for Meteorology (LIM)
University of Leipzig
Stephanstr. 3
04103 Leipzig
++49 (0) 341 97 36656
mail:
[email protected]
PhD in B03
Leibniz Institute for Tropospheric Research (TROPOS)
Permoserstr. 15
04318 Leipzig
mail:
[email protected]
Publications
2026
2025
Müller, J. J., Schäfer, M., Rosenburg, S., Ehrlich, A., and Wendisch, M. , September 2025: High-resolution maps of Arctic surface skin temperature and type retrieved from airborne thermal infrared imagery collected during the HALO-(AC)³ campaign. Atmospheric Meas. Tech., 18(18):4695–4708, doi:10.5194/amt-18-4695-2025
Klingebiel, M., Ehrlich, A., Gryschka, M., Risse, N., Maherndl, N., Schirmacher, I., Rosenburg, S., Hörnig, S., Moser, M., Jäkel, E., Schäfer, M., Deneke, H., Mech, M., Voigt, C., and Wendisch, M. , September 2025: Airborne observations of cloud properties during their evolution from organized streets to isotropic cloud structures along an Arctic cold-air outbreak. Atmospheric Chem. Phys., 25(17):9787–9801, doi:10.5194/acp-25-9787-2025
Ebell, K., Buhren, C., Gierens, R., Chellini, G., Lauer, M., Walbröl, A., Dahlke, S., Krobot, P., and Mech, M. , July 2025: Impact of weather systems on observed precipitation at Ny-Ålesund (Svalbard). Atmospheric Chem. Phys., 25(13):7315–7342, doi:10.5194/acp-25-7315-2025
Dorff, H., Ewald, F., Konow, H., Mech, M., Ori, D., Schemann, V., Walbröl, A., Wendisch, M., and Ament, F. , 2025: Moisture budget estimates derived from airborne observations in an Arctic atmospheric river during its dissipation. Atmos. Chem. Phys., 25(14):8329–8354, doi:10.5194/acp-25-8329-2025
Wendisch, M., Kirbus, B., Ori, D., Shupe, M. D., Crewell, S., Sodemann, H., and Schemann, V. , 2025: Observed and modeled Arctic airmass transformations during warm air intrusions and cold air outbreaks. Atmos. Chem. Phys., 25(21):15047–15076, doi:10.5194/acp-25-15047-2025
2024
Walbröl, A., Griesche, H. J., Mech, M., Crewell, S., and Ebell, K. , October 2024: Combining Low- and High-Frequency Microwave Radiometer Measurements from the MOSAiC Expedition for Enhanced Water Vapour Products. Atmospheric Meas. Tech., 17(20):6223–6245, doi:10.5194/amt-17-6223-2024
Risse, N., Mech, M., Prigent, C., Spreen, G., and Crewell, S. , September 2024: Assessing Sea Ice Microwave Emissivity up to Submillimeter Waves from Airborne and Satellite Observations. The Cryosphere, 18(9):4137–4163, doi:10.5194/tc-18-4137-2024
Arteaga, D., Planche, C., Tridon, F., Dupuy, R., Baudoux, A., Banson, S., Baray, J., Mioche, G., Ehrlich, A., Mech, M., Mertes, S., Wendisch, M., Wobrock, W., and Jourdan, O. , September 2024: Arctic Mixed-Phase Clouds Simulated by the WRF Model: Comparisons with ACLOUD Radar and in Situ Airborne Observations and Sensitivity of Microphysics Properties. Atmospheric Res., 307:107471, doi:10.1016/j.atmosres.2024.107471
Wendisch, M., Crewell, S., Ehrlich, A., Herber, A., Kirbus, B., Lüpkes, C., Mech, M., Abel, S. J., Akansu, E. F., Ament, F., Aubry, C., Becker, S., Borrmann, S., Bozem, H., Brückner, M., Clemen, H., Dahlke, S., Dekoutsidis, G., Delanoë, J., De La Torre Castro, E., Dorff, H., Dupuy, R., Eppers, O., Ewald, F., George, G., Gorodetskaya, I. V., Grawe, S., Groß, S., Hartmann, J., Henning, S., Hirsch, L., Jäkel, E., Joppe, P., Jourdan, O., Jurányi, Z., Karalis, M., Kellermann, M., Klingebiel, M., Lonardi, M., Lucke, J., Luebke, A. E., Maahn, M., Maherndl, N., Maturilli, M., Mayer, B., Mayer, J., Mertes, S., Michaelis, J., Michalkov, M., Mioche, G., Moser, M., Müller, H., Neggers, R., Ori, D., Paul, D., Paulus, F. M., Pilz, C., Pithan, F., Pöhlker, M., Pörtge, V., Ringel, M., Risse, N., Roberts, G. C., Rosenburg, S., Röttenbacher, J., Rückert, J., Schäfer, M., Schaefer, J., Schemann, V., Schirmacher, I., Schmidt, J., Schmidt, S., Schneider, J., Schnitt, S., Schwarz, A., Siebert, H., Sodemann, H., Sperzel, T., Spreen, G., Stevens, B., Stratmann, F., Svensson, G., Tatzelt, C., Tuch, T., Vihma, T., Voigt, C., Volkmer, L., Walbröl, A., Weber, A., Wehner, B., Wetzel, B., Wirth, M., and Zinner, T. , August 2024: Overview: Quasi-Lagrangian Observations of Arctic Air Mass Transformations – Introduction and Initial Results of the HALO–(A C)\textsuperscript3 Aircraft Campaign. Atmospheric Chem. Phys., 24(15):8865–8892, doi:10.5194/acp-24-8865-2024
Walbröl, A., Michaelis, J., Becker, S., Dorff, H., Ebell, K., Gorodetskaya, I., Heinold, B., Kirbus, B., Lauer, M., Maherndl, N., Maturilli, M., Mayer, J., Müller, H., Neggers, R. A. J., Paulus, F. M., Röttenbacher, J., Rückert, J. E., Schirmacher, I., Slättberg, N., Ehrlich, A., Wendisch, M., and Crewell, S. , July 2024: Contrasting Extremely Warm and Long-Lasting Cold Air Anomalies in the North Atlantic Sector of the Arctic during the HALO-(A C)\textsuperscript3 Campaign. Atmospheric Chem. Phys., 24(13):8007–8029, doi:10.5194/acp-24-8007-2024
Röttenbacher, J., Ehrlich, A., Müller, H., Ewald, F., Luebke, A. E., Kirbus, B., Hogan, R. J., and Wendisch, M. , July 2024: Evaluating the Representation of Arctic Cirrus Solar Radiative Effects in the Integrated Forecasting System with Airborne Measurements. Atmospheric Chem. Phys., 24(14):8085–8104, doi:10.5194/acp-24-8085-2024
Schirmacher, I., Schnitt, S., Klingebiel, M., Maherndl, N., Kirbus, B., Ehrlich, A., Mech, M., and Crewell, S. Clouds and Precipitation in the Initial Phase of Marine Cold Air Outbreaks as Observed by Airborne Remote Sensing. April 2024. doi:10.5194/egusphere-2024-850.
Müller, H., Ehrlich, A., Jäkel, E., Röttenbacher, J., Kirbus, B., Schäfer, M., Hogan, R. J., and Wendisch, M. , April 2024: Evaluation of Downward and Upward Solar Irradiances Simulated by the Integrated Forecasting System of ECMWF Using Airborne Observations above Arctic Low-Level Clouds. Atmospheric Chem. Phys., 24(7):4157–4175, doi:10.5194/acp-24-4157-2024
Kirbus, B., Schirmacher, I., Klingebiel, M., Schäfer, M., Ehrlich, A., Slättberg, N., Lucke, J., Moser, M., Müller, H., and Wendisch, M. , April 2024: Thermodynamic and Cloud Evolution in a Cold-Air Outbreak during HALO-(AC)\textsuperscript3 : Quasi-Lagrangian Observations Compared to the ERA5 and CARRA Reanalyses. Atmospheric Chem. Phys., 24(6):3883–3904, doi:10.5194/acp-24-3883-2024
2023
Klingebiel, M., Ehrlich, A., Ruiz-Donoso, E., Risse, N., Schirmacher, I., Jäkel, E., Schäfer, M., Wolf, K., Mech, M., Moser, M., Voigt, C., and Wendisch, M. , December 2023: Variability and Properties of Liquid-Dominated Clouds over the Ice-Free and Sea-Ice-Covered Arctic Ocean. Atmospheric Chem. Phys., 23(24):15289–15304, doi:10.5194/acp-23-15289-2023
Schirmacher, I., Kollias, P., Lamer, K., Mech, M., Pfitzenmaier, L., Wendisch, M., and Crewell, S. , September 2023: Assessing Arctic Low-Level Clouds and Precipitation from above – a Radar Perspective. Atmospheric Meas. Tech., 16(17):4081–4100, doi:10.5194/amt-16-4081-2023
Rosenburg, S., Lange, C., Jäkel, E., Schäfer, M., Ehrlich, A., and Wendisch, M. , August 2023: Retrieval of Snow Layer and Melt Pond Properties on Arctic Sea Ice from Airborne Imaging Spectrometer Observations. Atmospheric Meas. Tech., 16(16):3915–3930, doi:10.5194/amt-16-3915-2023
Zanatta, M., Mertes, S., Jourdan, O., Dupuy, R., Järvinen, E., Schnaiter, M., Eppers, O., Schneider, J., Jurányi, Z., and Herber, A. , July 2023: Airborne Investigation of Black Carbon Interaction with Low-Level, Persistent, Mixed-Phase Clouds in the Arctic Summer. Atmospheric Chem. Phys., 23(14):7955–7973, doi:10.5194/acp-23-7955-2023
Moser, M., Voigt, C., Jurkat-Witschas, T., Hahn, V., Mioche, G., Jourdan, O., Dupuy, R., Gourbeyre, C., Schwarzenboeck, A., Lucke, J., Boose, Y., Mech, M., Borrmann, S., Ehrlich, A., Herber, A., Lüpkes, C., and Wendisch, M. , July 2023: Microphysical and Thermodynamic Phase Analyses of Arctic Low-Level Clouds Measured above the Sea Ice and the Open Ocean in Spring and Summer. Atmospheric Chem. Phys., 23(13):7257–7280, doi:10.5194/acp-23-7257-2023
Chylik, J., Chechin, D., Dupuy, R., Kulla, B. S., Lüpkes, C., Mertes, S., Mech, M., and Neggers, R. A. J. , April 2023: Aerosol Impacts on the Entrainment Efficiency of Arctic Mixed-Phase Convection in a Simulated Air Mass over Open Water. Atmospheric Chem. Phys., 23(8):4903–4929, doi:10.5194/acp-23-4903-2023
Ehrlich, A., Zöger, M., Giez, A., Nenakhov, V., Mallaun, C., Maser, R., Röschenthaler, T., Luebke, A. E., Wolf, K., Stevens, B., and Wendisch, M. , March 2023: A New Airborne Broadband Radiometer System and an Efficient Method to Correct Dynamic Thermal Offsets. Atmospheric Meas. Tech., 16(6):1563–1581, doi:10.5194/amt-16-1563-2023
2022
Mech, M., Ehrlich, A., Herber, A., Lüpkes, C., Wendisch, M., Becker, S., Boose, Y., Chechin, D., Crewell, S., Dupuy, R., Gourbeyre, C., Hartmann, J., Jäkel, E., Jourdan, O., Kliesch, L., Klingebiel, M., Kulla, B. S., Mioche, G., Moser, M., Risse, N., Ruiz-Donoso, E., Schäfer, M., Stapf, J., and Voigt, C. , December 2022: MOSAiC-ACA and AFLUX - Arctic Airborne Campaigns Characterizing the Exit Area of MOSAiC. Sci. Data, 9(1):790, doi:10.1038/s41597-022-01900-7
Schäfer, M., Wolf, K., Ehrlich, A., Hallbauer, C., Jäkel, E., Jansen, F., Luebke, A. E., Müller, J., Thoböll, J., Röschenthaler, T., Stevens, B., and Wendisch, M. , March 2022: VELOX – a New Thermal Infrared Imager for Airborne Remote Sensing of Cloud and Surface Properties. Atmospheric Meas. Tech., 15(5):1491–1509, doi:10.5194/amt-15-1491-2022
Shupe, M. D., Rex, M., Blomquist, B., Persson, P. O. G., Schmale, J., Uttal, T., Althausen, D., Angot, H., Archer, S., Bariteau, L., Beck, I., Bilberry, J., Bucci, S., Buck, C., Boyer, M., Brasseur, Z., Brooks, I. M., Calmer, R., Cassano, J., Castro, V., Chu, D., Costa, D., Cox, C. J., Creamean, J., Crewell, S., Dahlke, S., Damm, E., De Boer, G., Deckelmann, H., Dethloff, K., Dütsch, M., Ebell, K., Ehrlich, A., Ellis, J., Engelmann, R., Fong, A. A., Frey, M. M., Gallagher, M. R., Ganzeveld, L., Gradinger, R., Graeser, J., Greenamyer, V., Griesche, H., Griffiths, S., Hamilton, J., Heinemann, G., Helmig, D., Herber, A., Heuzé, C., Hofer, J., Houchens, T., Howard, D., Inoue, J., Jacobi, H., Jaiser, R., Jokinen, T., Jourdan, O., Jozef, G., King, W., Kirchgaessner, A., Klingebiel, M., Krassovski, M., Krumpen, T., Lampert, A., Landing, W., Laurila, T., Lawrence, D., Lonardi, M., Loose, B., Lüpkes, C., Maahn, M., Macke, A., Maslowski, W., Marsay, C., Maturilli, M., Mech, M., Morris, S., Moser, M., Nicolaus, M., Ortega, P., Osborn, J., Pätzold, F., Perovich, D. K., Petäjä, T., Pilz, C., Pirazzini, R., Posman, K., Powers, H., Pratt, K. A., Preußer, A., Quéléver, L., Radenz, M., Rabe, B., Rinke, A., Sachs, T., Schulz, A., Siebert, H., Silva, T., Solomon, A., Sommerfeld, A., Spreen, G., Stephens, M., Stohl, A., Svensson, G., Uin, J., Viegas, J., Voigt, C., Von Der Gathen, P., Wehner, B., Welker, J. M., Wendisch, M., Werner, M., Xie, Z., and Yue, F. , February 2022: Overview of the MOSAiC Expedition: Atmosphere. Elem Sci Anth, 10(1):00060, doi:10.1525/elementa.2021.00060
2021
Kwiezinski, C., Weller, C., Van Pinxteren, D., Brüggemann, M., Mertes, S., Stratmann, F., and Herrmann, H. , June 2021: Determination of Highly Polar Compounds in Atmospheric Aerosol Particles at Ultra-trace Levels Using Ion Chromatography Orbitrap Mass Spectrometry. J. Sep. Sci., 44(12):2343–2357, doi:10.1002/jssc.202001048
2020
Mech, M., Maahn, M., Kneifel, S., Ori, D., Orlandi, E., Kollias, P., Schemann, V., and Crewell, S. , September 2020: PAMTRA 1.0: The Passive and Active Microwave Radiative TRAnsfer Tool for Simulating Radiometer and Radar Measurements of the Cloudy Atmosphere. Geosci. Model Dev., 13(9):4229–4251, doi:10.5194/gmd-13-4229-2020
Ruiz-Donoso, E., Ehrlich, A., Schäfer, M., Jäkel, E., Schemann, V., Crewell, S., Mech, M., Kulla, B. S., Kliesch, L., Neuber, R., and Wendisch, M. , May 2020: Small-Scale Structure of Thermodynamic Phase in Arctic Mixed-Phase Clouds Observed by Airborne Remote Sensing during a Cold Air Outbreak and a Warm Air Advection Event. Atmospheric Chem. Phys., 20(9):5487–5511, doi:10.5194/acp-20-5487-2020
2019
Ehrlich, A., Wendisch, M., Lüpkes, C., Buschmann, M., Bozem, H., Chechin, D., Clemen, H., Dupuy, R., Eppers, O., Hartmann, J., Herber, A., Jäkel, E., Järvinen, E., Jourdan, O., Kästner, U., Kliesch, L., Köllner, F., Mech, M., Mertes, S., Neuber, R., Ruiz-Donoso, E., Schnaiter, M., Schneider, J., Stapf, J., and Zanatta, M. , November 2019: A Comprehensive in Situ and Remote Sensing Data Set from the Arctic CLoud Observations Using Airborne Measurements during Polar Day (ACLOUD) Campaign. Earth Syst. Sci. Data, 11(4):1853–1881, doi:10.5194/essd-11-1853-2019
Mech, M., Kliesch, L., Anhäuser, A., Rose, T., Kollias, P., and Crewell, S. , September 2019: Microwave Radar/Radiometer for Arctic Clouds (MiRAC): First Insights from the ACLOUD Campaign. Atmospheric Meas. Tech., 12(9):5019–5037, doi:10.5194/amt-12-5019-2019
Wendisch, M., Macke, A., Ehrlich, A., Lüpkes, C., Mech, M., Chechin, D., Dethloff, K., Velasco, C. B., Bozem, H., Brückner, M., Clemen, H., Crewell, S., Donth, T., Dupuy, R., Ebell, K., Egerer, U., Engelmann, R., Engler, C., Eppers, O., Gehrmann, M., Gong, X., Gottschalk, M., Gourbeyre, C., Griesche, H., Hartmann, J., Hartmann, M., Heinold, B., Herber, A., Herrmann, H., Heygster, G., Hoor, P., Jafariserajehlou, S., Jäkel, E., Järvinen, E., Jourdan, O., Kästner, U., Kecorius, S., Knudsen, E. M., Köllner, F., Kretzschmar, J., Lelli, L., Leroy, D., Maturilli, M., Mei, L., Mertes, S., Mioche, G., Neuber, R., Nicolaus, M., Nomokonova, T., Notholt, J., Palm, M., Van Pinxteren, M., Quaas, J., Richter, P., Ruiz-Donoso, E., Schäfer, M., Schmieder, K., Schnaiter, M., Schneider, J., Schwarzenböck, A., Seifert, P., Shupe, M. D., Siebert, H., Spreen, G., Stapf, J., Stratmann, F., Vogl, T., Welti, A., Wex, H., Wiedensohler, A., Zanatta, M., and Zeppenfeld, S. , May 2019: The Arctic Cloud Puzzle: Using ACLOUD/PASCAL Multiplatform Observations to Unravel the Role of Clouds and Aerosol Particles in Arctic Amplification. Bull. Am. Meteorol. Soc., 100(5):841–871, doi:10.1175/BAMS-D-18-0072.1
2018
Knudsen, E. M., Heinold, B., Dahlke, S., Bozem, H., Crewell, S., Gorodetskaya, I. V., Heygster, G., Kunkel, D., Maturilli, M., Mech, M., Viceto, C., Rinke, A., Schmithüsen, H., Ehrlich, A., Macke, A., Lüpkes, C., and Wendisch, M. , December 2018: Meteorological Conditions during the ACLOUD/PASCAL Field Campaign near Svalbard in Early Summer 2017. Atmospheric Chem. Phys., 18(24):17995–18022, doi:10.5194/acp-18-17995-2018
Schäfer, M., Loewe, K., Ehrlich, A., Hoose, C., and Wendisch, M. , September 2018: Simulated and Observed Horizontal Inhomogeneities of Optical Thickness of Arctic Stratus. Atmospheric Chem. Phys., 18(17):13115–13133, doi:10.5194/acp-18-13115-2018
2017
Ehrlich, A., Bierwirth, E., Istomina, L., and Wendisch, M. , September 2017: Combined Retrieval of Arctic Liquid Water Cloud and Surface Snow Properties Using Airborne Spectral Solar Remote Sensing. Atmospheric Meas. Tech., 10(9):3215–3230, doi:10.5194/amt-10-3215-2017
Schäfer, M., Bierwirth, E., Ehrlich, A., Jäkel, E., Werner, F., and Wendisch, M. , February 2017: Directional, Horizontal Inhomogeneities of Cloud Optical Thickness Fields Retrieved from Ground-Based and Airbornespectral Imaging. Atmospheric Chem. Phys., 17(3):2359–2372, doi:10.5194/acp-17-2359-2017
Wendisch, M., Brückner, M., Burrows, J., Crewell, S., Dethloff, K., Ebell, K., Lüpkes, C., Macke, A., Notholt, J., Quaas, J., Rinke, A., and Tegen, I. , January 2017: Understanding Causes and Effects of Rapid Warming in the Arctic. Eos, doi:10.1029/2017EO064803
Korolev, A., McFarquhar, G., Field, P. R., Franklin, C., Lawson, P., Wang, Z., Williams, E., Abel, S. J., Axisa, D., Borrmann, S., Crosier, J., Fugal, J., Krämer, M., Lohmann, U., Schlenczek, O., Schnaiter, M., and Wendisch, M. , January 2017: Mixed-Phase Clouds: Progress and Challenges. Meteorol. Monogr., 58:5.1–5.50, doi:10.1175/AMSMONOGRAPHS-D-17-0001.1
Cziczo, D. J., Ladino, L., Boose, Y., Kanji, Z. A., Kupiszewski, P., Lance, S., Mertes, S., and Wex, H. , January 2017: Measurements of Ice Nucleating Particles and Ice Residuals. Meteorol. Monogr., 58:8.1–8.13, doi:10.1175/AMSMONOGRAPHS-D-16-0008.1
Schäfer, M., Bierwirth, E., Ehrlich, A., Jäkel, E., Werner, F., and Wendisch, M. Cloud Optical Thickness Retrieved from Horizontal Fields of Reflected Solar Spectral Radiance Measured with AisaEAGLE during VERDI Campaign 2012. 2017. doi:10.1594/PANGAEA.874798.
Ehrlich, A., Bierwirth, E., Istomina, L., and Wendisch, M. Cloud Optical Thickness, Cloud Particle Effective Radius, and Effective Snow Grain Size Retrieved from Airborne Spectral Reflectivity Measurements during VERDI 2012 over the Beaufort Sea. 2017. doi:10.1594/PANGAEA.882979.




