Spatially Resolved Latent and Sensible Heat Fluxes of a Cold Air Outbreak Using Wavelet Analysis of Airborne Observations: A CAESAR Case Study

Abstract The representation of turbulent vertical transport of heat and moisture in the marine atmospheric boundary layer (BL) remains a major source of uncertainty in weather and climate models, especially during extreme marine Cold Air Outbreaks (CAOs). This case study of In situ vertical velocity, water vapor, and temperature observations from the Cold‐Air‐outbreak Experiment in the Sub‐Arctic Region airborne campaign's “golden case” demonstrates the unique capability of wavelet analysis to provide spatially‐ and scale‐resolved flight‐level vertical turbulent transport estimates. During the CAO on 16 March 2024, over the Greenland and Norwegian Seas, leg‐averaged latent energy fluxes (LE) reached 170 W m −2 , maintained throughout development into cloud break‐up, whereas near‐ice sensible heat fluxes (SH) reached 250 W m −2 before decreasing to ∼50–75 W m −2 . Averaging over 5 km paths fails to resolve flux variability. Circulatory scales between 200 m and 2 km constituted 56%–72% (47%–73%) of the total upward LE (SH) variance between measured scales 10 m–6.8 km at 150–330 m above sea level, where cloud tops rose from near‐plane to 2.5 km. LE (SH) scales lengthened with fetch and with BL deepening, with >50% of vertical transport occurring at scales less than 0.47 (0.22) km over solid sea ice, and 1.52 (1.65) km 150–500 km from the ice edge. Cloud organization seen in satellite imagery and remotely‐sensed moisture variance spectra similarly increase in scale with fetch. The results mirror eddy covariance estimations and demonstrate the value of representing fine‐scale flux variability and its coupling to the surface and to convectively‐driven circulations.

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Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2026-10-30
DOI
https://doi.org/10.1029/2026jd047220
Primary Topic
Meteorological Phenomena and Simulations
Type
article
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article

Spatially Resolved Latent and Sensible Heat Fluxes of a Cold Air Outbreak Using Wavelet Analysis of Airborne Observations: A CAESAR Case Study

Bart Geerts, Paquita Zuidema, Christopher G. Kruse, John J. Cassano et al.
Journal of Geophysical Research Atmospheres
Meteorological Phenomena and Simulations
article

Spatially Resolved Latent and Sensible Heat Fluxes of a Cold Air Outbreak Using Wavelet Analysis of Airborne Observations: A CAESAR Case Study

Bart Geerts, Paquita Zuidema, Christopher G. Kruse, John J. Cassano, Yufei Chu, Samuel Ephraim, Michael Flynn McGinnity, Guo Lin, Zhien Wang
article en

Abstract

Abstract The representation of turbulent vertical transport of heat and moisture in the marine atmospheric boundary layer (BL) remains a major source of uncertainty in weather and climate models, especially during extreme marine Cold Air Outbreaks (CAOs). This case study of In situ vertical velocity, water vapor, and temperature observations from the Cold‐Air‐outbreak Experiment in the Sub‐Arctic Region airborne campaign's “golden case” demonstrates the unique capability of wavelet analysis to provide spatially‐ and scale‐resolved flight‐level vertical turbulent transport estimates. During the CAO on 16 March 2024, over the Greenland and Norwegian Seas, leg‐averaged latent energy fluxes (LE) reached 170 W m −2 , maintained throughout development into cloud break‐up, whereas near‐ice sensible heat fluxes (SH) reached 250 W m −2 before decreasing to ∼50–75 W m −2 . Averaging over 5 km paths fails to resolve flux variability. Circulatory scales between 200 m and 2 km constituted 56%–72% (47%–73%) of the total upward LE (SH) variance between measured scales 10 m–6.8 km at 150–330 m above sea level, where cloud tops rose from near‐plane to 2.5 km. LE (SH) scales lengthened with fetch and with BL deepening, with >50% of vertical transport occurring at scales less than 0.47 (0.22) km over solid sea ice, and 1.52 (1.65) km 150–500 km from the ice edge. Cloud organization seen in satellite imagery and remotely‐sensed moisture variance spectra similarly increase in scale with fetch. The results mirror eddy covariance estimations and demonstrate the value of representing fine‐scale flux variability and its coupling to the surface and to convectively‐driven circulations.

Journal of Geophysical Research AtmospheresVol. 131(21)
NSF National Center for Atmospheric Research (US), University of Wyoming (US), University of Miami (US), Cooperative Institute for Research in Environmental Sciences (US), University of Colorado Boulder (US), University of Michigan (US), GFZ Helmholtz Centre for Geosciences (DE), NSF NCAR Earth Observing Laboratory (US), National Snow and Ice Data Center (US), Stony Brook University (US)
Openalex Percentile: Top 21%
Meteorological Phenomena and Simulations
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