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Transitions in the wintertime near-surface temperature inversion at Dome C, Antarctica.
Baas, Peter; van de Wiel, Bas J H; van Meijgaard, Erik; Vignon, Etienne; Genthon, Christophe; van der Linden, Steven J A; de Roode, Stephan R.
Afiliação
  • Baas P; Geoscience & Remote Sensing Delft University of Technology Delft the Netherlands.
  • van de Wiel BJH; Geoscience & Remote Sensing Delft University of Technology Delft the Netherlands.
  • van Meijgaard E; Weather & Climate Models Royal Netherlands Meteorological Institute De Bilt the Netherlands.
  • Vignon E; Environmental Remote Sensing Laboratory École Polytechnique Fédérale de Lausanne Lausanne Switzerland.
  • Genthon C; Institute for Geosciences and Environmental Research Université Grenoble Alpes/CNRS/IRD Grenoble France.
  • van der Linden SJA; Sorbonne Université, École Normale Supérieure, PSL Research University, École Polytechnique, CNRS, Laboratoire de Météorologie Dynamique, LMD/IPSL Paris France.
  • de Roode SR; Geoscience & Remote Sensing Delft University of Technology Delft the Netherlands.
Q J R Meteorol Soc ; 145(720): 930-946, 2019 Apr.
Article em En | MEDLINE | ID: mdl-31068734
In this work we study the dynamics of the surface-based temperature inversion over the Antarctic Plateau during the polar winter. Using 6 years of observations from the French-Italian Antarctic station Concordia at Dome C, we investigate sudden regime transitions in the strength of the near-surface temperature inversion. Here we define "near-surface" as being within the domain of the 45-m measuring tower. In particular, we consider the strongly nonlinear relation between the 10-m inversion strength (T 10m - T s) and the 10-m wind speed. To this end, all individual events for which the 10-m inversion strength increases or decreases continuously by more than 15 K in time are considered. Composite time series and vertical profiles of wind and temperature reveal specific characteristics of the transition from weak to very strong inversions and vice versa. In contrast to midlatitudes, the largest variations in temperature are not found at the surface but at a height of 10 m. A similar analysis was performed on results from an atmospheric single-column model (SCM). Overall, the SCM results reproduce the observed characteristics of the transitions in the near-surface inversion remarkably well. Using model output, the underlying mechanisms of the regime transitions are identified. The nonlinear relation between inversion strength and wind speed at a given level is explained by variations in the geostrophic wind speed, changes in the depth of the turbulent layer and the vertical divergence of turbulent fluxes. Moreover, the transitions between different boundary layer regimes cannot be explained without considering the contribution of subsidence heating.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article