Articles | Volume 13, issue 18
https://doi.org/10.5194/acp-13-9379-2013
https://doi.org/10.5194/acp-13-9379-2013
Research article
 | 
24 Sep 2013
Research article |  | 24 Sep 2013

Cloud and boundary layer interactions over the Arctic sea ice in late summer

M. D. Shupe, P. O. G. Persson, I. M. Brooks, M. Tjernström, J. Sedlar, T. Mauritsen, S. Sjogren, and C. Leck

Related authors

Occurrence of seeding multi-layer clouds in the Arctic from ground-based observations
Peggy Achtert, Torsten Seelig, Gabriella Wallentin, Luisa Ickes, Matthew D. Shupe, Corinna Hoose, and Matthias Tesche
EGUsphere, https://doi.org/10.5194/egusphere-2025-3529,https://doi.org/10.5194/egusphere-2025-3529, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Understanding the Spring Cloud Onset over the Arctic sea-ice
Jean Lac, Hélène Chepfer, Matthew D. Shupe, and Hannes Griesche
EGUsphere, https://doi.org/10.5194/egusphere-2025-3549,https://doi.org/10.5194/egusphere-2025-3549, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Observed and modeled Arctic airmass transformations during warm air intrusions and cold air outbreaks
Manfred Wendisch, Benjamin Kirbus, Davide Ori, Matthew D. Shupe, Susanne Crewell, Harald Sodemann, and Vera Schemann
EGUsphere, https://doi.org/10.5194/egusphere-2025-2062,https://doi.org/10.5194/egusphere-2025-2062, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Classifying Thermodynamic Cloud Phase Using Machine Learning Models
Lexie Goldberger, Maxwell Levin, Carlandra Harris, Andrew Geiss, Matthew D. Shupe, and Damao Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2025-1501,https://doi.org/10.5194/egusphere-2025-1501, 2025
Short summary
Observations of surface energy fluxes and meteorology in the seasonally snow-covered high-elevation East River watershed during SPLASH, 2021–2023
Christopher J. Cox, Janet M. Intrieri, Brian J. Butterworth, Gijs de Boer, Michael R. Gallagher, Jonathan Hamilton, Erik Hulm, Tilden Meyers, Sara M. Morris, Jackson Osborn, P. Ola G. Persson, Benjamin Schmatz, Matthew D. Shupe, and James M. Wilczak
Earth Syst. Sci. Data, 17, 1481–1499, https://doi.org/10.5194/essd-17-1481-2025,https://doi.org/10.5194/essd-17-1481-2025, 2025
Short summary

Related subject area

Subject: Clouds and Precipitation | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Moisture budget estimates derived from airborne observations in an Arctic atmospheric river during its dissipation
Henning Dorff, Florian Ewald, Heike Konow, Mario Mech, Davide Ori, Vera Schemann, Andreas Walbröl, Manfred Wendisch, and Felix Ament
Atmos. Chem. Phys., 25, 8329–8354, https://doi.org/10.5194/acp-25-8329-2025,https://doi.org/10.5194/acp-25-8329-2025, 2025
Short summary
Aerosol–cloud interactions in cirrus clouds based on global-scale airborne observations and machine learning models
Derek Ngo, Minghui Diao, Ryan J. Patnaude, Sarah Woods, and Glenn Diskin
Atmos. Chem. Phys., 25, 7007–7036, https://doi.org/10.5194/acp-25-7007-2025,https://doi.org/10.5194/acp-25-7007-2025, 2025
Short summary
In-cloud characteristics observed in northeastern and midwestern US non-orographic winter storms with implications for ice particle mass growth and residence time
Luke R. Allen, Sandra E. Yuter, Declan M. Crowe, Matthew A. Miller, and K. Lee Thornhill
Atmos. Chem. Phys., 25, 6679–6701, https://doi.org/10.5194/acp-25-6679-2025,https://doi.org/10.5194/acp-25-6679-2025, 2025
Short summary
Vertical profiles of liquid water content in fog layers during the SOFOG3D experiment
Théophane Costabloz, Frédéric Burnet, Christine Lac, Pauline Martinet, Julien Delanoë, Susana Jorquera, and Maroua Fathalli
Atmos. Chem. Phys., 25, 6539–6573, https://doi.org/10.5194/acp-25-6539-2025,https://doi.org/10.5194/acp-25-6539-2025, 2025
Short summary
Quantified ice-nucleating ability of AgI-containing seeding particles in natural clouds
Anna J. Miller, Christopher Fuchs, Fabiola Ramelli, Huiying Zhang, Nadja Omanovic, Robert Spirig, Claudia Marcolli, Zamin A. Kanji, Ulrike Lohmann, and Jan Henneberger
Atmos. Chem. Phys., 25, 5387–5407, https://doi.org/10.5194/acp-25-5387-2025,https://doi.org/10.5194/acp-25-5387-2025, 2025
Short summary

Cited articles

Barton, N. P., Klein, S. A., Boyle, J. S., and Zhang, Y. Y.: Arctic synoptic regimes: Comparing domain wide Arctic cloud observations with CAM4 and CAM5 during similar dynamics, J. Geophys. Res, 117, D15205, https://doi.org/10.1029/2012JD017589, 2012.
Birmili, W., Stratmann, F., and Wiedensohler, A.: Design of a DMA-based size spectrometer for a large particle size range and stable operation, J. Aerosol Sci., 30 549–554, 1999.
Birch, C. E., Brooks, I. M., Tjernström, M., Shupe, M. D., Mauritsen, T., Sedlar, J., Lock, A. P., Earnshaw, P., Persson, P. O. G., Milton, S. F., and Leck, C.: Modeling atmospheric structure, cloud and their response to CCN in the central Arctic: ASCOS case studies, Atmos. Chem. Phys., 12, 3419–3435, https://doi.org/10.5194/acp-12-3419-2012, 2012.
Bouniol, D., Illingworth, A. J., and Hogan, R. J.: Deriving turbulent kinetic energy dissipation rate within clouds using ground based 94 GHz radar, Preprints, 31st Conf. on Radar Meteorology, Seattle, WA, Am. Meteor. Soc., 193–196, available at: http://ams.confex.com/ams/pdfpapers/63826.pdf, 2003.
Cesana, G., Kay, J. E., Chepfer, H., English, J. M., and de Boer, G.: Ubiquitous low-level liquid-containing Arctic clouds: New observations and climate model constraints from CALIPSO-GOCCP, Geophys. Res. Lett., 39, L20804, https://doi.org/10.1029/2012GL053385, 2012.
Download
Share
Altmetrics
Final-revised paper
Preprint