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Regime occupation and transition information obtained from observable meteorological state variables in the stably stratified nocturnal boundary layerAbraham, Carsten 15 January 2019 (has links)
The stably stratified nocturnal boundary layer (SBL) can be classified into two distinct regimes: one with moderate to strong winds, weak stratification and mechanically sustained turbulence (wSBL) and the other one with moderate to weak wind conditions, strong stratification and collapsed turbulence (vSBL). With the help of a hidden Markov model (HMM) analysis of the three dimensional state variable space of stratification, mean wind speeds, and wind shear the SBL can be classified in these two regimes in both the Reynolds-averaged as well as turbulence state variables. The two-regime SBL is a generic structure at different tower sites around the world independent of the location specific conditions.
Besides clustering the data the HMM analysis calculates the most likely regime occupation sequence which allows for detailed analysis of the structure of the meteorological state variables in conditions of very persistent nights. Conditioning on these very persistent nights clear influences of external drivers (such as pressure gradient force and low level cloud cover) are found. As the HMM analysis captures regime transitions accurately changes of state variables and external drivers across transitions can easily be assessed. Different meteorological state variables behave in times of turbulence collapse (wSBL to vSBL transition) and turbulence recovery (vSBL to wSBL transitions) as expected physically. The results reveal further that clear precursors for transitions in the state variable profiles or external drivers are cannot be determined and that on observed timescales regime transitions are relatively sharp.
The absence of clear precursors suggests that parameterisations of SBL regime behaviour and turbulence in the two regimes in weather and climate models have to be stochastic. As regime statistics are relatively insensitive to changes in the stochastic properties of the HMM analysis observed regime statistics are compared to ’freely-running’ Markov chains. The SBL regime statistics do not follow a simple Markov process and more complex parameterisations are necessary. A possible approach of parameterising SBL regime behaviour stochastically using climatological results from this analysis is presented. / Graduate / 2019-12-17
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Couches limites atmosphériques en Antarctique : observation et simulation numérique / Atmospheric boundary layers in Antarctica : observation and numerical simulationBarral, Hélène 26 November 2014 (has links)
La surface enneigée du continent Antarctique, sauf pour quelques heures les après-midi d'été, se refroidit constamment radiativement. Il en résulte une stratification stable persistante de la couche limite atmosphérique qui alimente un écoulement catabatique le long des pentes qui descendent du plateau vers l'océan. Les inversions de températures et les vitesses de vents associées sont extrêmes l'hiver où une inversion moyenne de 25°C sur le plateau et des vitesses dépassant les 200 km/h sur la côte sont régulièrement observées. L'été, les inversions restent très marquées la nuit, mais le réchauffement de la surface par le soleil conduit au développement de couches convectives l'après midi. Des replats et des pentes immenses et vides, inlassablement recouverts de neige : l'Antarctique est un laboratoire unique pour étudier les transitions entre les régimes turbulents, et surtout la turbulence dans les couches limites stables et catabatiques. Des processus délicats à étudier, puisque très sensibles aux hétérogénéités de la surface. Ce travail de thèse documente trois cas d'école estivaux typiques : le cycle diurne sur le plateau Antarctique, la génération d'un écoulement catabatique local, et la couche limite soumise à un forçage catabatique. Ces trois situations ont été explorées avec des observations in-situ. Pour deux d'entre elles, les observations ont nourri et ont été complétées par des simulations avec le modèle atmosphérique Méso-NH. Le premier cas s'intéresse au cycle diurne au Dôme~C. Le Dôme~C, sur le plateau Antarctique est une zone plate et homogène éloignée des perturbations océaniques. Depuis quelques années, une tour de 45 m échantillonne la couche limite. L'été, un cycle diurne marqué est observé en température et en vent avec un jet de basse couche surgéostrophique la nuit. Une période de deux jours, représentative du reste de l'été, a été sélectionnée, pour la construction du cas d'intercomparaison GABLS4, préparé en collaboration avec Météo-France. Les simulations uni-colonnes menées avec le modèle Méso-NH ont montré la nécessité d'adapter le schéma de turbulence afin qu'il puisse reproduire à la fois les inversions de température et l'intensité de la turbulence mesurées. Le deuxième cas d'école examine un écoulement catabatique généré localement, au coucher du soleil, observé sur une pente de 600 par 300 m en Terre Adélie. Certaines caractéristiques de la turbulence, en particulier l'anisotropie, ont été explorées à l'aide de simulations à fine échelle (LES). Le troisième cas s'intéresse à la couche limite mélangée typique des zones côtières soumises à un vent intense. Ce vent d'origine catabatique, a dévalé les 1000 km de pente en amont. En remobilisant la neige, il interagit avec le mélange turbulent. Le travail s'est intéressé dans ce troisième cas à l'impact du transport de neige sur l'humidité de l'air et au calcul des flux turbulents à partir des profils de température, vent et humidité. / Except during a few summer afternoon hours, the snow-covered surface of Antarctica is constantly cooling because of radiative processes. This results in a stable, persisting stratification of the atmospheric boundary layer that feeds katabatic winds along the slopes descending from the Plateau to the Ocean. Temperature inversions and wind speeds both peak during the winter, with inversions regularly reaching 25 degrees (C) over the Plateau and winds exceeding 200,km/h along the coast. In the summer, significant inversions remain at night but solar heating leads to the formation of convective layers near the surface in the afternoon. With berms and large, empty slopes constantly covered with snow, Antarctica is a unique and perfect laboratory for the study of transitions between turbulent regimes and of the turbulence within stable and katabatic boundary layers. The investigation of these processes is usually made difficult by their sensitivity to heterogeneities at the surface. This thesis work documents three typical "text-book" summer cases: the diurnal cycle on the Antarctic Plateau, the generation of a local katabatic wind and the katabatic forcing of the boundary layer. The investigation of these three cases uses in-situ data. For two of these cases, the observational data has fed and been completed with some Meso-NH model simulation outputs. The first case focusses on the diurnal cycle at Dome C. On the Antarctic Plateau, Dome C is a flat, homogeneous area far from oceanic perturbations. Since a few years, a 45 meters tower samples the boundary layer there. In the summer, the diurnal cycle there is characterized by clean signals in both temperature and winds, with a nocturnal low-level jet within the boundary layer. A two-days data set representative of the rest of the summer has been selected for analysis and is used in the GABLS4 comparison study prepared in collaboration with Meteo France. Single-column simulations have been run for this comparison work launched in June. The second case examines a local katabatic flow generated at sunset over a 600 by 300 meters slope in Terre Adelie. Characteristics of the turbulence of this flow, in particular, its anisotropy, are investigated using small-scale model simulations. A measuring station has been deployed in order to prepare and evaluate these simulations. The third case is concerned with boundary layers typical of coastal areas with strong winds of katabatic origins, which have flown over 1000 km-long slopes towards the sea. By moving around the snow at the surface, these winds interact with turbulent mixing processes. For this final case, the work is interested in the impact of blowing snow on atmospheric moisture and with the calculation of turbulent fluxes based on temperature, wind and humidity profiles.
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