Articles | Volume 31, issue 1
https://doi.org/10.5194/npg-31-45-2024
https://doi.org/10.5194/npg-31-45-2024
Research article
 | 
19 Jan 2024
Research article |  | 19 Jan 2024

Sensitivity of the polar boundary layer to transient phenomena

Amandine Kaiser, Nikki Vercauteren, and Sebastian Krumscheid

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Cited articles

Abraham, C. and Monahan, A. H.: Climatological Features of the Weakly and Very Stably Stratified Nocturnal Boundary Layers. Part II: Regime Occupation and Transition Statistics and the Influence of External Drivers, J. Atmos. Sci., 76, 3485–3504, https://doi.org/10.1175/JAS-D-19-0078.1, 2019. a
Abraham, C., Holdsworth, A. M., and Monahan, A. H.: A prototype stochastic parameterization of regime behaviour in the stably stratified atmospheric boundary layer, Nonlin. Processes Geophys., 26, 401–427, https://doi.org/10.5194/npg-26-401-2019, 2019. a
Aburn, M. J.: Critical fluctuations and coupling of stochastic neural mass models, PhD thesis, School of Mathematics and Physics, The University of Queensland, https://doi.org/10.14264/uql.2017.148, 2017. a
Acevedo, O. C., Maroneze, R., Costa, F. D., Puhales, F. S., Degrazia, G. A., Nogueira Martins, L. G., Soares de Oliveira, P. E., and Mortarini, L.: The nocturnal boundary layer transition from weakly to very stable. Part I: Observations, Q. J. Roy. Meteor. Soc., 145, 3577–3592, https://doi.org/10.1002/qj.3642, 2019. a
Ansorge, C. and Mellado, J. P.: Global Intermittency and Collapsing Turbulence in the Stratified Planetary Boundary Layer, Bound.-Lay. Meteorol., 153, 89–116, https://doi.org/10.1007/s10546-014-9941-3, 2014. a
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Current numerical weather prediction models encounter challenges in accurately representing regimes in the stably stratified atmospheric boundary layer (SBL) and the transitions between them. Stochastic modeling approaches are a promising framework to analyze when transient small-scale phenomena can trigger regime transitions. Therefore, we conducted a sensitivity analysis of the SBL to transient phenomena by augmenting a surface energy balance model with meaningful randomizations.