Page 1© Crown copyright 2005 RF01/RF02: LES sensitivity studies Adrian Lock and Eoin Whelan.

Slides:



Advertisements
Similar presentations
© Crown copyright 2006Page 1 CFMIP II sensitivity experiments Mark Webb (Met Office Hadley Centre) Johannes Quaas (MPI) Tomoo Ogura (NIES) With thanks.
Advertisements

© Crown copyright Met Office Towards understanding the mechanisms responsible for different cloud-climate responses in GCMs. Mark Webb, Adrian Lock (Met.
Parametrization of surface fluxes: Outline
Parametrization of PBL outer layer Martin Köhler Overview of models Bulk models local K-closure K-profile closure TKE closure.
Parametrization of PBL outer layer Irina Sandu and Martin Kohler
4. First look Initial analysis of contrasting timeseries (Figure 2) shows: Shorter timescales have a smaller range of mass fluxes with lower maxima and.
6. Equilibrium fluctuations for time-varying forcing. Values of constant term larger than expected from RCE run correspond to fluctuations greater than.
Predictable Chaotic Exhibits memory Equilibrium Towards non-equilibrium Acknowledgements LD is supported by NERC CASE award NER/S/A/2004/ Conclusions.
1 00/XXXX © Crown copyright Carol Roadnight, Peter Clark Met Office, JCMM Halliwell Representing convection in convective scale NWP models : An idealised.
© Crown copyright Met Office Some thoughts on s12 stratocumulus feedback Adrian Lock EUCLIPSE WP3 meeting, Toulouse, April 2012.
Training course: boundary layer IV Parametrization above the surface layer (layout) Overview of models Slab (integral) models K-closure model K-profile.
LES of Turbulent Flows: Lecture 10 (ME EN )
A Cloud Resolving Model with an Adaptive Vertical Grid Roger Marchand and Thomas Ackerman - University of Washington, Joint Institute for the Study of.
Page 1© Crown copyright 2007 High-resolution modelling in support of T-REX observations Simon Vosper and Peter Sheridan Met Office, UK T-REX Workshop,
Turbulent Scalar Mixing Revisiting the classical paradigm in variable diffusivity medium Gaurav Kumar Advisor: Prof. S. S. Girimaji Turbulence Research.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology The Effect of Turbulence on Cloud Microstructure,
GCSS BLCWG update Chris Bretherton, BLCWG Chair Thanks to Andy Ackerman (LES case leader) Margreet vanZanten/Bjorn Stevens SCM and LES case participants.
IACETH Institute for Atmospheric and Climate Science Boundary Layer parametrisation in the climate model ECHAM5-HAM Colombe Siegenthaler - Le Drian, Peter.
© Crown copyright Met Office Met Office SCM and CRM results Adrian Lock, Met Office, UK.
GFS Deep and Shallow Cumulus Convection Schemes
The scheme: A short intro Some relevant case results Why a negative feedback? EDMF-DualM results for the CFMIP-GCSS intercomparison case: Impacts of a.
Length Scale analysis of the transition from shallow to deep convection João Paulo A. Martins (1) Pedro M. A. Miranda (1) Pedro M. M. Soares (1) João Teixeira.
© University of Reading 2007www.reading.ac.uk RMetS Student Conference, Manchester September 2008 Boundary layer ventilation by mid-latitude cyclones Victoria.
Large-Eddy Simulation of a stratocumulus to cumulus transition as observed during the First Lagrangian of ASTEX Stephan de Roode and Johan van der Dussen.
The representation of stratocumulus with eddy diffusivity closure models Stephan de Roode KNMI.
19 December ConclusionsResultsMethodologyBackground Chip HelmsSensitivity of CM1 to Initial θ' Magnitude and Radius Examining the Sensitivity of.
Page 1© Crown copyright Distribution of water vapour in the turbulent atmosphere Atmospheric phase correction for ALMA Alison Stirling John Richer & Richard.
A control algorithm for attaining stationary statistics in LES of thermally stratified wind-turbine array boundary layers Adrian Sescu * and Charles Meneveau.
Xin Xi. 1946: Obukhov Length, as a universal length scale for exchange processes in surface layer. 1954: Monin-Obukhov Similarity Theory, as a starting.
Comparison of convective boundary layer velocity spectra calculated from large eddy simulation and WRF model data Jeremy A. Gibbs and Evgeni Fedorovich.
Stephan de Roode (KNMI) Entrainment in stratocumulus clouds.
The three-dimensional structure of convective storms Robin Hogan John Nicol Robert Plant Peter Clark Kirsty Hanley Carol Halliwell Humphrey Lean Thorwald.
Towards a evaluation of a tensor eddy-diffusivity model for the terra incognita grey gray zone Omduth Coceal 1, Mary-Jane Bopape 2, Robert S. Plant 2 1.
Yanjun Jiao and Colin Jones University of Quebec at Montreal September 20, 2006 The Performance of the Canadian Regional Climate Model in the Pacific Ocean.
The ASTEX Lagrangian model intercomparison case Stephan de Roode and Johan van der Dussen TU Delft, Netherlands.
Large-Eddy Simulations of the Nocturnal Low-Level Jet M.A. Jiménez Universitat de les Illes Balears 4th Meso-NH user’s meeting, Toulouse April 2007.
© Crown copyright Met Office High resolution COPE simulations Kirsty Hanley, Humphrey Lean UK.
Evaluating forecasts of the evolution of the cloudy boundary layer using radar and lidar observations Andrew Barrett, Robin Hogan and Ewan O’Connor Submitted.
Using Observations and Theory to Evaluate Model Convergence at Fronts Ben Harvey Thanks to: Chloe Eagle, Humphrey Lean (Met Reading) John Methven.
1. Introduction Boundary-layer clouds are parameterized in general circulation model (GCM), but simulated in Multi-scale Modeling Framework (MMF) and.
Met Office GPCI simulations Adrian Lock. © Crown copyright UK Met Office simulations in GPCI  HadGAM1 climate – for IPCC AR4  38 levels (~300m at 1km),
1 Large Eddy Simulation of Stable Boundary Layers with a prognostic subgrid TKE equation 8 th Annual Meeting of the EMS, Amsterdam, 2008 Stephan R. de.
Photospheric MHD simulation of solar pores Robert Cameron Alexander Vögler Vasily Zakharov Manfred Schüssler Max-Planck-Institut für Sonnensystemforschung.
© Crown copyright Met Office CGILS: Met Office LES results Adrian Lock, Met Office, UK.
APR CRM simulations of the development of convection – some sensitivities Jon Petch Richard Forbes Met Office Andy Brown ECMWF October 29 th 2003.
Page 1© Crown copyright Modelling the stable boundary layer and the role of land surface heterogeneity Anne McCabe, Bob Beare, Andy Brown EMS 2005.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Component testing of the COSMO model’s turbulent diffusion.
Mesoscale Modeling with a 3D Turbulence Scheme Jocelyn Mailhot and Yufei Zhu (Claude Pelletier) Environment Canada MSC / MRB 3 rd Annual Meeting on CRTI.
Stephan de Roode The art of modeling stratocumulus clouds.
© Crown copyright Met Office CFMIP-GCSS Intercomparison of SCM/LES (CGILS) Results for the HadGEM2 SCM Mark Webb and Adrian Lock (Met Office) EUCLIPSE/GCSS.
Page 1© Crown copyright 2006 Precipitating Shallow Cumulus Case Intercomparison For the 9th GCSS Boundary Layer Cloud Workshop, September 2006, GISS.
Page 1© Crown copyright 2006 Boundary layer mechanisms in extra-tropical cyclones Bob Beare.
Convergence Studies of Turbulent Channel Flows Using a Stabilized Finite Element Method Andrés E. Tejada-Martínez Department of Civil & Environmental Engineering.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Analyzing the TKE budget of the COSMO model for the LITFASS-2003.
Coarse grained velocity derivatives Beat Lüthi & Jacob Berg Søren Ott Jakob Mann Risø National Laboratory Denmark.
1 LES of Turbulent Flows: Lecture 7 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Spring 2011.
1 LES of Turbulent Flows: Lecture 13 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Spring 2011.
A revised formulation of the COSMO surface-to-atmosphere transfer scheme Matthias Raschendorfer COSMO Offenbach 2009 Matthias Raschendorfer.
Using Observations and Theory to Evaluate Model Convergence at Fronts Ben Harvey Thanks to: John Methven (Reading) Chloe Eagle, Humphrey Lean (Met Office)
Characteristics of precipitating convection in the UM at Δx≈200m-2km
Development of the two-equation second-order turbulence-convection model (dry version): analytical formulation, single-column numerical results, and.
Pier Siebesma Today: “Dry” Atmospheric Convection
Seamless turbulence parametrization across model resolutions
The DYMECS project A statistical approach for the evaluation of convective storms in high-resolution models Thorwald Stein, Robin Hogan, John Nicol, Robert.
Multiscale aspects of cloud-resolving simulations over complex terrain
Cliff Mass University of Washington
Models of atmospheric chemistry
Entrainment rates in stratocumulus computed from a 1D TKE model
Large-Eddy Simulation of the VOCALS RF06 Pocket of Open Cells:
Large-eddy simulation of an observed evening transition boundary layer
Presentation transcript:

Page 1© Crown copyright 2005 RF01/RF02: LES sensitivity studies Adrian Lock and Eoin Whelan

Page 2© Crown copyright 2005 Starting point: RF01 intercomparison  Met Office LES was low down the RF01 LWP league table!  And at the top for subgrid heat flux across the inversion

Page 3© Crown copyright 2005 Starting point: RF01 intercomparison  Disappointing as the Met Office LES subgrid model should be stable for RF01:  Smagorinsky type + MacVean and Mason Ri  For RF01, M&M should give Ri>0 implying little subgrid mixing across the inversion M&M, k=0.7R&D, k=0.23 RF01, k~0.5 x Ri < 0

Page 4© Crown copyright 2005 RF01: simple changes 1.MacVean (1993): reduce neutral mixing length towards the inversion to reflect geometrical constraint on eddy size 2.Use monotone scheme (rather than 1 st order upwind) for subsidence forcing z=0 zizi z

Page 5© Crown copyright 2005 Impact in RF01  These ‘simple’ changes give some increase in LWP  But still a factor of 2 too low

Page 6© Crown copyright 2005 Bjorn’s fix  Switch off subgrid model for scalars (above 750m)  Crude but effective – same as Bjorn  Switch off subgrid model completely (above 750m)  Disaster - ?same as Bjorn?

Page 7© Crown copyright 2005 Monotone advection of all variables  Monotone advection of momentum (as well as scalars) gives results almost identical to Bjorn’s fix  Can get to the top of the LWP league table without having to half switch off the subgrid model!

Page 8© Crown copyright 2005  Is the diffusion implicit with monotone advection equivalent to having a more active subgrid model?  Try standard (non-monotone) advection but with c s =0.32 (instead of 0.23, )  Some improvement in LWP but still some way short  Could increase c s further but subgrid fluxes and entrainment would increase further Increase subgrid diffusion

Page 9© Crown copyright 2005 Turbulence or noise?  Bjorn’s fix needs the subgrid model on for momentum – why?  We (all?) use monotone advection schemes for scalars, why not for momentum?  W field doesn’t look too noisy  Monotone advection gives loss of energy at smaller scales… Monotone advection of momentumCentred-difference advection of momentum

Page 10© Crown copyright 2005 Spectra  Monotone advection of momentum leads to reduction in energy at scales close to the grid-scale  Similar to c s =0.32 w spectra at 500m

Page 11© Crown copyright 2005 Spectra at entrainment flux level  Very different spectra between monotone and non-monotone advection of momentum just below the inversion  Is the extra energy near the grid scale with non-monotone advection just numerical noise? w spectra at z i v spectra at z i

Page 12© Crown copyright 2005 Turbulence or noise?  Horizontal momentum field certainly looks noisy at the inversion  Why should we believe this noise any more than the noise we don’t like in the scalar fields?  Spurious noise in the momentum fields would reduce Ri(>0) and so increase subgrid scalar mixing across the stably stratified inversion (except with Bjorn’s fix) Centred-difference advection of momentumMonotone advection of momentum

Page 13© Crown copyright 2005 Monotone advection of all variables  No problem with monotone advection of momentum in matching the observed w’w’

Page 14© Crown copyright 2005 TKE budget  Total dissipation also very similar between Bjorn’s fix and monotone momentum: Total TKE dissipation = subgrid model + Advection scheme (=residual) Bjorn’s fix Monotone momentum

Page 15© Crown copyright 2005 Resolution sensitivity  Run with: coarse (Dz=10m,Dx=35m), standard (Dz=5m,Dx=35m), fine (Dz=2.5m, Dx=17.5m)  Monotone advection ~ centred differences at doubled resolution  Not really converged  Higher resolution gives reduced entrainment and thence increased LWP  Only monotone fine resolution has cloud base ~ constant, as observed

Page 16© Crown copyright 2005 RF02, at last!  Same sensitivity as RF01

Page 17© Crown copyright 2005 Conclusions  Spurious noise in momentum fields close to the inversion can enhance subgrid fluxes there leading to excessive entrainment at standard resolutions (Dz=5m, Dx=35-50m)  Met Office LES gives apparently realistic results when monotone advection is used on all variables  Results are equivalent to a centred-difference scheme with double the resolution  Avoids the need for Bjorn’s fix  But simulations have not converged by Dz=2.5m, Dx=17.5m

Page 18© Crown copyright 2005 Questions?