Periodic Reporting for period 2 - trainABL (Turbulence-Resolving Approaches to the Intermittently Turbulent Atmospheric Boundary Layer)
Berichtszeitraum: 2021-12-01 bis 2022-07-31
Intermittent behaviour is commonly observed in turbulent fluid flows. Turbulence intermittency challenges traditional geophysical approaches to represent turbulent mixing. Both field observations and current numerical approaches have their limitations, leading to a lack of process-level insight into turbulence intermittency in the atmospheric boundary layer. Over its entire funding period, the project aims to provide the first physically consistent turbulent mixing parameterisation that takes into account the importance of turbulence intermittency, covers the entire vertical range of the atmospheric boundary layer and is valid for all regimes of stratification. It will achieve this by adopting a fluid mechanics approach to the geophysical phenomenon of turbulence intermittency in the atmospheric boundary layer.
The insight from trainABL will raise the understanding of processes and dynamics in the planetary boundary layer and lead to improved representation of the physics therein. This has immediate consequences for weather forecasting nd climate projection where the physical and conceptual challenges that come with the onset of intermittency pose major problems. Practical impacts are improved minimume temperature forecasting with tremendous impact on road and aviation safety and better short-term forecasts for agricultural users.
Further, first steps were undertaken to bridge the gap between the surrogate problem (turbulent Ekman flow) and the real-world boundary layer through a Large-Eddy Simulation study of an extremely stable boundary layer. In this task, we make use of recent observations from the MOSAiC campaign where data at unseen accuracy and in an unprecedented amount from the Arctic became available. These Large-Eddy Simulations span a regime of boundary-layer flow that has not been investigated so far due to both lack of observations and lack of the ability of tools to study these regimes. We now have the observational data to guide sophisticated numerical process studies in this regime and have worked on extending an existing model set-up into this regime. This includes a combination of technical adaptations, i.e. smaller grid resolution to account for the much smaller size of turbulent vortices and shallower boundary layer, extreme surface parameters, and physical adjustments such as the consideration of radiation in a clear-sky enivronment close to the surface. This becomes relevant due to the extreme temperature gradients (15K per 10 m in vicinity of the surface) encountered in these regimes.
To eliminate another constraint that comes with our approach to the problem, we work on the consideration of surface roughness in our direct-numerical-simulation set-up. This was not anticipated originally, but appears as a major issue to overcome in stratified flows where the classical modelling approach (Monin-Obukhov Similarity theory) fails. We have implemented an immersed-boundary scheme based on interpolation using spline methods to our numerical tool-suite and tested this scheme. The next steps in this respect are a thorough validation of this novel approach in direct numerical simulation of stratified boundary layers including a staggering approach to overcome pressure-velocity decoupling issues that are encountered when the problem is forced at the smallest scales as it happens in presence of an immersed boundary characterizing small-scale mechanical heterogeneity.
- consistent formulation of vleocity profiles and flux profiles in neutrally stratified Ekman flow, ideally with an extension to stable stratification
- assessment of the role of roughness in maintenance and decay of strongly stratified turbulence
- a consistent, scale-bridging and scale-aware modelling suite to study simple turbulence problems in extremely stratified atmospheric boundary layers
- quantification of the role of roughness for the scale separation -- modified roughness Reynolds number