Multi-Scale Physics Faculty of Applied Sciences The formation of mesoscale fluctuations by boundary layer convection Harm Jonker.

Slides:



Advertisements
Similar presentations
Introduction. Martin Surface layer and surface fluxes. Anton
Advertisements

Introduction Irina Surface layer and surface fluxes Anton
INTERNAL WAVE GENERATION, BREAKING, MIXING AND MODEL VALIDATION ALAN DAVIES (POL) JIUXING XING (POL) JARLE BERNTSEN (BERGEN)
Robin Hogan Alan Grant, Ewan O’Connor,
BBOS meeting on Boundary Layers and Turbulence, 7 November 2008 De Roode, S. R. and A. Los, QJRMS, Corresponding paper available from
Veldhoven, Large-eddy simulation of stratocumulus – cloud albedo and cloud inhomogeneity Stephan de Roode (1,2) & Alexander Los (2)
LARGE EDDY SIMULATION Chin-Hoh Moeng NCAR.
Section 2: The Planetary Boundary Layer
Modeling Stratocumulus Clouds: From Cloud Droplet to the Meso-scales Stephan de Roode Clouds, Climate & Air Quality Multi-Scale Physics (MSP), Faculty.
Hurricanes Innovative Grid-Enable Multiple-scale Hurricane modeling system Konstantinos Menelaou International Hurricane Research Center Department of.
The Atmospheric Boundary Layer (ABL) over Mesoscale Surface Heterogeneity 25 June 2009 Song-Lak Kang Research Review.
Reading: Text, (p40-42, p49-60) Foken 2006 Key questions:
Low clouds in the atmosphere: Never a dull moment Stephan de Roode (GRS) stratocumulus cumulus.
Matthew Shupe Ola Persson Paul Johnston Cassie Wheeler Michael Tjernstrom Surface-Based Remote-Sensing of Clouds during ASCOS Univ of Colorado, NOAA and.
Buoyancy driven turbulence in the atmosphere
Iterative and constrained algorithms to generate cloud fields with measured properties Victor Venema Clemens Simmer Susanne Crewell Bonn University
What controls the climatological PBL depth? Brian Medeiros Alex Hall Bjorn Stevens UCLA Department of Atmospheric & Oceanic Sciences 16th Symposium on.
Atmospheric phase correction for ALMA Alison Stirling John Richer Richard Hills University of Cambridge Mark Holdaway NRAO Tucson.
Sensible heat flux Latent heat flux Radiation Ground heat flux Surface Energy Budget The exchanges of heat, moisture and momentum between the air and the.
0.1m 10 m 1 km Roughness Layer Surface Layer Planetary Boundary Layer Troposphere Stratosphere height The Atmospheric (or Planetary) Boundary Layer is.
Introduction to surface ocean modelling SOPRAN GOTM School Warnemünde: Hans Burchard Baltic Sea Research Institute Warnemünde, Germany.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology The Effect of Turbulence on Cloud Microstructure,
The transition from mesoscale to submesoscale in the California Current System X. Capet, J. McWilliams, J. Molemaker, A. Shchepetkin (IGPP/UCLA), feb.
Lagrangian dispersion of light solid particle in a high Re number turbulence; LES with stochastic process at sub-grid scales CNRS – UNIVERSITE et INSA.
Modeling Clouds and Climate: A computational challenge Stephan de Roode Clouds, Climate & Air Quality Multi-Scale Physics (MSP), Faculty of Applied Sciences.
Ang Atmospheric Boundary Layer and Turbulence Zong-Liang Yang Department of Geological Sciences.
GFS Deep and Shallow Cumulus Convection Schemes
ENERGY FROM THE SUN Chapter 14.3 Pages Energy in the Atmosphere The sun is the source of ALL energy in our atmosphere. Three things that can.
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.
Scientific Advisory Committee Meeting, November 25-26, 2002 Large-Eddy Simulation Andreas Chlond Department Climate Processes.
The representation of stratocumulus with eddy diffusivity closure models Stephan de Roode KNMI.
Page 1© Crown copyright Distribution of water vapour in the turbulent atmosphere Atmospheric phase correction for ALMA Alison Stirling John Richer & Richard.
Atmospheric TU Delft Stephan de Roode, Harm Jonker clouds, climate and weather air quality in the urban environmentenergy.
1 LES of Turbulent Flows: Lecture 11 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Fall 2014.
Can we use a statistical cloud scheme coupled to convection and moist turbulence parameterisations to simulate all cloud types? Colin Jones CRCM/UQAM
Reynolds-Averaged Navier-Stokes Equations -- RANS
Stephan de Roode (KNMI) Entrainment in stratocumulus clouds.
Turbulent properties: - vary chaotically in time around a mean value - exhibit a wide, continuous range of scale variations - cascade energy from large.
1 Indirect evidence of vertical humidity transport during very stable conditions at Cabauw Stephan de Roode
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.
Introduction to Cloud Dynamics We are now going to concentrate on clouds that form as a result of air flows that are tied to the clouds themselves, i.e.
Budgets of second order moments for cloudy boundary layers 1 Systematische Untersuchung höherer statistischer Momente und ihrer Bilanzen 1 LES der atmosphärischen.
The ASTEX Lagrangian model intercomparison case Stephan de Roode and Johan van der Dussen TU Delft, Netherlands.
LES of Turbulent Flows: Lecture 2 (ME EN )
Large Eddy Simulation of PBL turbulence and clouds Chin-Hoh Moeng National Center for Atmospheric Research.
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.
An ATD Model that Incorporates Uncertainty R. Ian Sykes Titan Research & Technology Div., Titan Corp. 50 Washington Road Princeton NJ OFCM Panel Session.
The formation of mesoscale fluctuations by boundary layer convection
Toulouse IHOP meeting 15 June 2004 Water vapour variability within the growing convective boundary layer of 14 June 2002 with large eddy simulations and.
Next The evening boundary layer: turbulence or no turbulence? Bas van de Wiel, Ivo van Hooijdonk & Judith Donda in collaboration with: Fred Bosveld, Peter.
April Hansen et al. [1997] proposed that absorbing aerosol may reduce cloudiness by modifying the heating rate profiles of the atmosphere. Absorbing.
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.
Adaptive Optics in the VLT and ELT era Atmospheric Turbulence
Mesoscale energy spectra for a simulated squall line Fuqing Zhang Rich Rotunno Y. Qiang Sun Groupmeeting
Modeling and Evaluation of Antarctic Boundary Layer
A Thermal Plume Model for the Boundary Layer Convection: Representation of Cumulus Clouds C. RIO, F. HOURDIN Laboratoire de Météorologie Dynamique, CNRS,
Stephan de Roode The art of modeling stratocumulus clouds.
A Case Study of Decoupling in Stratocumulus Xue Zheng MPO, RSMAS 03/26/2008.
Lenschow - ATD retreat - 23 Jan 04 GEOPHYSICAL TURBULENCE Scientific and observational needs Geophysics − The physics of the earth and its environment,
Large Eddy Simulations of Entrainment and Inversion Structure Alison Fowler (MRes Physics of Earth and Atmosphere) Supervisor: Ian Brooks Entrainment Zone.
Meteorological Variables 1. Local right-hand Cartesian coordinate 2. Polar coordinate x y U V W O O East North Up Dynamic variable: Wind.
Development of the two-equation second-order turbulence-convection model (dry version): analytical formulation, single-column numerical results, and.
End of Semester Groupmeeting
Pier Siebesma Today: “Dry” Atmospheric Convection
Reynolds-Averaged Navier-Stokes Equations -- RANS
Isotropy Kinetic Energy Spectrum.
Mark A. Bourassa and Qi Shi
Mean and Fluctuating Quantities
Entrainment rates in stratocumulus computed from a 1D TKE model
Turbulent properties:
Presentation transcript:

Multi-Scale Physics Faculty of Applied Sciences The formation of mesoscale fluctuations by boundary layer convection Harm Jonker

Multi-Scale Physics Faculty of Applied Sciences Cold Air Outbreak Peter Duynkerke, IMAU Utrecht University Agee, Atkinson and Zhang ……

Stratocumulus Aircraft Observations log E(k) log k

Atmospheric Observations: Sc Nucciarone & Young 1991 w u q 

Multi-Scale Physics Faculty of Applied Sciences Sun and Lenschow, 2006

Multi-Scale Physics Faculty of Applied Sciences Sun and Lenschow, 2006

Multi-Scale Physics Faculty of Applied Sciences Sun and Lenschow, 2006

Multi-Scale Physics Faculty of Applied Sciences L = 25.6km Dx = Dy = 100m t = hr, liquid water path LES of Stratocumulus

L = 6.4km (8hr) Dx = Dy = 100m L = 12.8km (12hr) L = 25.6km (16hr) LES of Sc (ASTEX) Liquid water path “Large Eddy Simulations: How large is large enough?”, de Roode, Duynkerke, Jonker, JAS 2004 “How long is long enough when measuring fluxes and other turbulence statistics?”, Lenschow, et al. J. Atmos. Oceanic Technol., 1994

Multi-Scale Physics Faculty of Applied Sciences

w qtu lwp

Intermediate Conclusions 1) the formation of dominating mesoscale fluctuations is an integral part of PBL dynamics! - no mesoscale forcings - what is the origin (mechanism) ? - latent heat release - radiative cooling - entrainment - inverse cascade Atkinson and Zhang Fiedler, van Delden, Muller and Chlond, Randall and Shao, Dornbrack, ……

Multi-Scale Physics Faculty of Applied Sciences Convective Atmospheric Boundary Layer penetrative convection zizi heat flux entrainment tracer flux 

w  passive scalar c variance spectra LES FFT (2D) w c w  passive scalar c Jonker,Duynkerke,Cuypers, JAS, 1999

Saline convection tank Laser Induced Fluorescence (LIF) fresh water salt water (2%) fresh water + fluorescent dye buoyancy flux & tracer flux Laser  (z) digital camera pp Han van Dop, IMAU Mark Hibberd, CSIRO Jos Verdoold, Thijs Heus, Esther Hagen

Laser Induced Fluorescence

Laser Induced Fluorescence (LIF) “bottom-up” tracer boundary layer depth structure (Verdoold, Delft, 2001) (see also van Dop, et al. BLM 2005)

Intermediate Conclusions 1) the formation of dominating mesoscale fluctuations is an integral part of PBL dynamics! 2) latent heat and radiation are not essential - latent heat release - radiative cooling - entrainment - inverse cascade -

Multi-Scale Physics Faculty of Applied Sciences Inverse Cascade? P D k E(k) PD k P 2-D or not 2-D: that’s the question

Spectral variance budget scale by scale variance budget production dissipation spectral interaction

sink source 16 sections Scale Interaction Matrix C   passive scalar

sink source 16 sections Scale Interaction Matrix C   dynamics

k E(k) or pdf of spectral flow 

upscale transfer downscale transfer

Intermediate Conclusions 1) the formation of dominating mesoscale fluctuations is an integral part of PBL dynamics! 2) latent heat and radiation are not essential - latent heat release - radiative cooling - entrainment - inverse cascade 3) budgets show: no inverse cascade (significant backscatter on all scales)

Multi-Scale Physics Faculty of Applied Sciences Mechanism… PD k E(k) P P D k

Multi-Scale Physics Faculty of Applied Sciences PD k E(k) P weak production, weak transfer

mechanism (CBL) spectral large scales transport (Jonker, Vila, Duynkerke, JAS, 2004) weak production, weak transfer. w crucial! (Leith, 1967) (Corrsin, ‘68)

w qtu lwp

Multi-Scale Physics Faculty of Applied Sciences Spectral budget w buoyancy production subgrid dissipation pressure correlation spectral transfer

budget spectrum

Multi-Scale Physics Faculty of Applied Sciences Spectral budget u shear production subgrid dissipation pressure correlation spectral transfer

budget spectrum

budget spectrum

Multi-Scale Physics Faculty of Applied Sciences Spectral budget scalar spectral budget gradient production subgrid dissipation spectral transfer variance budget

spectrum

production buoyancy production pressure break the chain …

wlwpu reference w filtered test 1:

Multi-Scale Physics Faculty of Applied Sciences 41 reference

Multi-Scale Physics Faculty of Applied Sciences 42 test 1:

production buoyancy production pressure break the chain …

wlwpu reference q,  filtered test 2:

Multi-Scale Physics Faculty of Applied Sciences 45 reference

Multi-Scale Physics Faculty of Applied Sciences test 2:

Multi-Scale Physics Faculty of Applied Sciences Concluding: The spectral gap … (Stull)

Multi-Scale Physics Faculty of Applied Sciences Cold Air Outbreak time

Multi-Scale Physics Faculty of Applied Sciences Conclusions 1) the formation of dominating mesoscale fluctuations is an integral part of PBL convective dynamics! 2) latent heat and radiation are not essential (but speed up the process considerably) 3) budgets: no inverse cascade on average. significant backscatter (on all scales) 4) production: ineffective (slow), but spectral transfer is just as ineffective 5) the spectral behaviour of w at large scales is crucial

Multi-Scale Physics Faculty of Applied Sciences

Jonker,Duynkerke,Cuypers, JAS, 1999

Length scales of conserved quantities in the CBL at t=8h

Multi-Scale Physics Faculty of Applied Sciences dissipationproductionchemistryspectral transfer Spectral Model Leith (1967)

(Jonker, Vila, Duynkerke, JAS 2004)

Multi-Scale Physics Faculty of Applied Sciences dissipationproductionchemistryspectral transfer Spectral Model: scale analysis …at large scales