Volume 128, Issue 11 e2022JD037725
Research Article

Wintertime Synoptic Patterns of Midlatitude Boundary Layer Clouds Over the Western North Atlantic: Climatology and Insights From In Situ ACTIVATE Observations

David Painemal

Corresponding Author

David Painemal

Science Systems and Applications, Inc, Hampton, VA, USA

NASA Langley Research Center, Hampton, VA, USA

Correspondence to:

D. Painemal,

[email protected]

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Seethala Chellappan

Seethala Chellappan

Rosenstiel School of Marine and Atmospheric, and Earth Sciences, University of Miami, Miami, FL, USA

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William L. Smith Jr.

William L. Smith Jr.

NASA Langley Research Center, Hampton, VA, USA

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Douglas Spangenberg

Douglas Spangenberg

Science Systems and Applications, Inc, Hampton, VA, USA

NASA Langley Research Center, Hampton, VA, USA

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J. Minnie Park

J. Minnie Park

Brookhaven National Laboratory, Upton, NY, USA

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Andrew Ackerman

Andrew Ackerman

NASA Goddard Institute for Space Sciences, New York, NY, USA

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Jingyi Chen

Jingyi Chen

Pacific Northwest National Laboratory, Richland, WA, USA

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Ewan Crosbie

Ewan Crosbie

Science Systems and Applications, Inc, Hampton, VA, USA

NASA Langley Research Center, Hampton, VA, USA

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Richard Ferrare

Richard Ferrare

NASA Langley Research Center, Hampton, VA, USA

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Johnathan Hair

Johnathan Hair

NASA Langley Research Center, Hampton, VA, USA

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Simon Kirschler

Simon Kirschler

Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, Germany

Institut für Physik der Atmosphäre, Johannes Gutenberg-Universität, Mainz, Germany

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Xiang-Yu Li

Xiang-Yu Li

Pacific Northwest National Laboratory, Richland, WA, USA

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Allison McComiskey

Allison McComiskey

Brookhaven National Laboratory, Upton, NY, USA

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Richard H. Moore

Richard H. Moore

NASA Langley Research Center, Hampton, VA, USA

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Kevin Sanchez

Kevin Sanchez

NASA Langley Research Center, Hampton, VA, USA

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Armin Sorooshian

Armin Sorooshian

Department of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ, USA

Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ, USA

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Florian Tornow

Florian Tornow

NASA Goddard Institute for Space Sciences, New York, NY, USA

Columbia University, New York City, NY, USA

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Christiane Voigt

Christiane Voigt

Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, Germany

Institut für Physik der Atmosphäre, Johannes Gutenberg-Universität, Mainz, Germany

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Hailong Wang

Hailong Wang

Pacific Northwest National Laboratory, Richland, WA, USA

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Edward Winstead

Edward Winstead

Science Systems and Applications, Inc, Hampton, VA, USA

NASA Langley Research Center, Hampton, VA, USA

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Xubin Zeng

Xubin Zeng

Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ, USA

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Luke Ziemba

Luke Ziemba

NASA Langley Research Center, Hampton, VA, USA

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Paquita Zuidema

Paquita Zuidema

Rosenstiel School of Marine and Atmospheric, and Earth Sciences, University of Miami, Miami, FL, USA

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First published: 03 April 2023
Citations: 2

Abstract

The winter synoptic evolution of the western North Atlantic and its influence on the atmospheric boundary layer is described by means of a regime classification based on Self-Organizing Maps applied to 12 years of data (2009–2020). The regimes are classified into categories according to daily 600-hPa geopotential height: dominant ridge, trough to ridge eastward transition (trough-ridge), dominant trough, and ridge to trough eastward transition (ridge–trough). A fifth synoptic regime resembles the winter climatological mean. Coherent changes in sea-level pressure and large-scale winds are in concert with the synoptic regimes: (a) the ridge regime is associated with a well-developed anticyclone; (b) the trough-ridge gives rise to a low-pressure center over the ocean, ascents, and northerly winds over the coastal zone; (c) trough is associated with the eastward displacement of a cyclone, coastal subsidence, and northerly winds, all representative characteristics of cold-air outbreaks; and (d) the ridge–trough regime features the development of an anticyclone and weak coastal winds. Low clouds are characteristic of the trough regime, with both trough and trough–ridge featuring synoptic maxima in cloud droplet number concentration (Nd). The Nd increase is primarily observed near the coast, concomitant with strong surface heat fluxes exceeding by more than 400 W m−2 compared to fluxes further east. Five consecutive days of aircraft observations collected during the ACTIVATE campaign corroborates the climatological characterization, confirming the occurrence of high Nd for days identified as trough. This study emphasizes the role of boundary-layer dynamics and aerosol activation and their roles in modulating cloud microphysics.

Key Points

  • Winter synoptic evolution is well described by a clustering method applied to 600 hPa geopotential height

  • Marine low clouds are characteristic of the trough regime, associated with strong surface heat fluxes

  • Cold-air outbreaks are associated with trough and ridge–trough regimes, and witness peaks in cloud droplet number and aerosol concentrations

Plain Language Summary

The synoptic evolution of boundary layer clouds over the western North Atlantic is described by means of a regime classification based on Self-Organizing Maps. The analysis is able to capture events with low and high low-cloud coverage. High-cloud coverage days are associated with cold-air outbreaks (CAOs). The combination of cold and dry conditions gives rise to an enhancement of surface heat fluxes during CAO, consistent with an increase in cloud fraction. In addition, prevailing winds during CAO days explain the occurrence of a synoptic maximum in cloud droplet number concentration, linked to transport of continental aerosol over the ocean. Overall, the dynamics of midlatitude low clouds substantially differ from archetypal stratocumulus clouds regimes.

Data Availability Statement

The Aerosol Cloud Meteorology Interactions over the Western Atlantic Experiment data used in this study can be downloaded from the experiment’s repository at https://doi.org/www-air.larc.nasa.gov/missions/activate/index.html; https://doi.org/10.5067/SUBORBITAL/ACTIVATE/DATA001 (ACTIVATE, 2021).