Accessibility navigation


A statistical approach to evaluate the parametrisation of turbulence in convection-permitting models using radar-retrieved eddy dissipation rates

Feist, M. (2019) A statistical approach to evaluate the parametrisation of turbulence in convection-permitting models using radar-retrieved eddy dissipation rates. PhD thesis, University of Reading

[img]
Preview
Text - Thesis
· Please see our End User Agreement before downloading.

10MB
[img] Text - Thesis Deposit Form
· Restricted to Repository staff only

2MB

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.48683/1926.00085241

Abstract/Summary

The effects of turbulence on the evolution of convective clouds remains uncertain both in observations and in numerical weather prediction (NWP) models. Turbulent processes remain parametrised in convection-permitting models (CPMs), and simulated clouds remain highly sensitive to the configuration of sub-filter turbulence schemes. It remains unclear whether assumptions implicit in these schemes are valid for CPMs, indicating the need for thorough evaluation of their performance using observations; the primary aim of this thesis. Eddy dissipation rates ε, are retrieved in radar data by applying a comprehensive method to infer the turbulent component of the Doppler spectrum variance. Hydrometeor fall-speed variances are shown to be negligible when sampling at elevations lower than 11.5°. Shear is calculated directly by applying a linear velocity model to Doppler velocities. New equations are presented to account for variance from azimuthal shear – an unseen dimension in rangeheight scans. Resulting values of ε are insensitive to the scale over which shear is calculated. A thorough statistical analysis of ε in observed clouds suitable for model evaluation is presented for the first time. Retrievals of ε were analysed for two contrasting case studies; shallow “shower” clouds and more vigorous “deep” clouds. Values of ε range from 10−3 − 10−1 m2 s −3 in shower clouds and from 10−3 − 1 m2 s −3 in deep clouds. Turbulent intensity increases with height in deep clouds while remaining constant in shower clouds. In both cases, significant positive correlations are demonstrated between ε and many cloud characteristics. The strongest correlations are found between the velocity and horizontal shear in updrafts. Coherent features of ε are found to have typical spatial scales of 0.5 – 1 km. Results are compared with equivalent statistics derived in 100-m and 55-m grid-length Met Office Unified Model simulations of the observed cases to evaluate the SmagorinskyLilly sub-grid mixing scheme. Simulated turbulence is characterised by small, intense regions of ε more strongly co-located with shear around updrafts than observed. The 95th and 99th percentiles of model ε are one and two orders of magnitude larger than observations, respectively, with similar median values. Values of ε increase consistently with the mixing length and appear insensitive to grid-length suggesting 100-m was sufficient to resolve an inertial sub-range.

Item Type:Thesis (PhD)
Thesis Supervisor:Westbrook, C.
Thesis/Report Department:School of Mathematical, Physical and Computational Sciences
Identification Number/DOI:https://doi.org/10.48683/1926.00085241
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:85241
Date on Title Page:2018

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation