Mixed-Phase Clouds Cause Climate Model Biases in Arctic Wintertime Temperature Inversions

TitleMixed-Phase Clouds Cause Climate Model Biases in Arctic Wintertime Temperature Inversions
Publication TypeJournal Article
Year of Publication2013
JournalClimate Dynamics
Date Published10/2013
Abstract / Summary

Temperature inversions commonly cap the the Arctic wintertime boundary layer. They have important impacts on both radiative and turbulent heat fluxes and partly determine local climate change feedbacks. Understanding the spread in inversion strength in climate models is an important step in better understanding Arctic climate, its present and future changes. In this paper, we show how the formation of Arctic air masses leads to the emergence of a cloudy and a clear state of the Arctic winter boundary layer. In the cloudy state, cloud liquid water is present, little to no surface radiative cooling occurs and inversions are elevated and relatively weak, whereas surface radiative cooling leads to strong surface-based temperature inversions in the clear state. Comparing model output to SHEBA and ARM observations and ECMWF reanalyses, we find that most climate models lack a realistic representation of the cloudy state. An idealized single-column model experiment of the formation of Arctic air reveals that this bias is linked to inadequate mixed-phase cloud microphysics, whereas turbulent and conductive heat fluxes control the strength of inversions within the clear state.

DOI10.1007/s00382-013-1964-9
Journal: Climate Dynamics
Year of Publication: 2013
Date Published: 10/2013

Temperature inversions commonly cap the the Arctic wintertime boundary layer. They have important impacts on both radiative and turbulent heat fluxes and partly determine local climate change feedbacks. Understanding the spread in inversion strength in climate models is an important step in better understanding Arctic climate, its present and future changes. In this paper, we show how the formation of Arctic air masses leads to the emergence of a cloudy and a clear state of the Arctic winter boundary layer. In the cloudy state, cloud liquid water is present, little to no surface radiative cooling occurs and inversions are elevated and relatively weak, whereas surface radiative cooling leads to strong surface-based temperature inversions in the clear state. Comparing model output to SHEBA and ARM observations and ECMWF reanalyses, we find that most climate models lack a realistic representation of the cloudy state. An idealized single-column model experiment of the formation of Arctic air reveals that this bias is linked to inadequate mixed-phase cloud microphysics, whereas turbulent and conductive heat fluxes control the strength of inversions within the clear state.

DOI: 10.1007/s00382-013-1964-9
Citation:
Pithan, F, B Medeiros, and T Mauritsen.  2013.  "Mixed-Phase Clouds Cause Climate Model Biases in Arctic Wintertime Temperature Inversions."  Climate Dynamics.  https://doi.org/10.1007/s00382-013-1964-9.