TY - JOUR
T1 - The COMBLE Campaign
T2 - A Study of Marine Boundary Layer Clouds in Arctic Cold-Air Outbreaks
AU - Geerts, Bart
AU - Giangrande, Scott E.
AU - McFarquhar, Greg M.
AU - Xue, Lulin
AU - Abel, Steven J.
AU - Comstock, Jennifer M.
AU - Crewell, Susanne
AU - DeMott, Paul J.
AU - Ebell, Kerstin
AU - Field, Paul
AU - Hill, Thomas C.J.
AU - Hunzinger, Alexis
AU - Jensen, Michael P.
AU - Johnson, Karen L.
AU - Juliano, Timothy W.
AU - Kollias, Pavlos
AU - Kosovic, Branko
AU - Lackner, Christian
AU - Luke, Ed
AU - Lüpkes, Christof
AU - Matthews, Alyssa A.
AU - Neggers, Roel
AU - Ovchinnikov, Mikhail
AU - Powers, Heath
AU - Shupe, Matthew D.
AU - Spengler, Thomas
AU - Swanson, Benjamin E.
AU - Tjernström, Michael
AU - Theisen, Adam K.
AU - Wales, Nathan A.
AU - Wang, Yonggang
AU - Wendisch, Manfred
AU - Wu, Peng
N1 - Publisher Copyright:
© 2022 American Meteorological Society.
PY - 2022/4
Y1 - 2022/4
N2 - One of the most intense air mass transformations on Earth happens when cold air flows from frozen surfaces to much warmer open water in cold-air outbreaks (CAOs), a process captured beautifully in satellite imagery. Despite the ubiquity of the CAO cloud regime over highlatitude oceans, we have a rather poor understanding of its properties, its role in energy and water cycles, and its treatment in weather and climate models. The Cold-Air Outbreaks in the Marine Boundary Layer Experiment (COMBLE) was conducted to better understand this regime and its representation in models. COMBLE aimed to examine the relations between surface fluxes, boundary layer structure, aerosol, cloud, and precipitation properties, and mesoscale circulations in marine CAOs. Processes affecting these properties largely fall in a range of scales where boundary layer processes, convection, and precipitation are tightly coupled, which makes accurate representation of the CAO cloud regime in numerical weather prediction and global climate models most challenging. COMBLE deployed an Atmospheric Radiation Measurement Mobile Facility at a coastal site in northern Scandinavia (69°N), with additional instruments on Bear Island (75°N), from December 2019 to May 2020. CAO conditions were experienced 19% (21%) of the time at the main site (on Bear Island). A comprehensive suite of continuous in situ and remote sensing observations of atmospheric conditions, clouds, precipitation, and aerosol were collected. Because of the clouds' well-defined origin, their shallow depth, and the broad range of observed temperature and aerosol concentrations, the COMBLE dataset provides a powerful modeling testbed for improving the representation of mixed-phase cloud processes in large-eddy simulations and large-scale models.
AB - One of the most intense air mass transformations on Earth happens when cold air flows from frozen surfaces to much warmer open water in cold-air outbreaks (CAOs), a process captured beautifully in satellite imagery. Despite the ubiquity of the CAO cloud regime over highlatitude oceans, we have a rather poor understanding of its properties, its role in energy and water cycles, and its treatment in weather and climate models. The Cold-Air Outbreaks in the Marine Boundary Layer Experiment (COMBLE) was conducted to better understand this regime and its representation in models. COMBLE aimed to examine the relations between surface fluxes, boundary layer structure, aerosol, cloud, and precipitation properties, and mesoscale circulations in marine CAOs. Processes affecting these properties largely fall in a range of scales where boundary layer processes, convection, and precipitation are tightly coupled, which makes accurate representation of the CAO cloud regime in numerical weather prediction and global climate models most challenging. COMBLE deployed an Atmospheric Radiation Measurement Mobile Facility at a coastal site in northern Scandinavia (69°N), with additional instruments on Bear Island (75°N), from December 2019 to May 2020. CAO conditions were experienced 19% (21%) of the time at the main site (on Bear Island). A comprehensive suite of continuous in situ and remote sensing observations of atmospheric conditions, clouds, precipitation, and aerosol were collected. Because of the clouds' well-defined origin, their shallow depth, and the broad range of observed temperature and aerosol concentrations, the COMBLE dataset provides a powerful modeling testbed for improving the representation of mixed-phase cloud processes in large-eddy simulations and large-scale models.
KW - Aerosol-cloud interaction
KW - Arctic
KW - Cloud resolving models
KW - Cloud water/phase
KW - Cold air surges
KW - Marine boundary layer
UR - https://www.scopus.com/pages/publications/85130828827
U2 - 10.1175/BAMS-D-21-0044.1
DO - 10.1175/BAMS-D-21-0044.1
M3 - Article
AN - SCOPUS:85130828827
SN - 0003-0007
VL - 103
SP - E1371-E1389
JO - Bulletin of the American Meteorological Society
JF - Bulletin of the American Meteorological Society
IS - 5
ER -