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Parametrization of the planetary boundary layer (PBL) Irina Sandu & Anton Beljaars

Parametrization of the planetary boundary layer (PBL) Irina Sandu & Anton Beljaars. Introduction Irina Surface layer and surface fluxes Anton Outer layer Irina Stratocumulus Irina PBL evaluation Maike Exercises Irina & Maike.

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Parametrization of the planetary boundary layer (PBL) Irina Sandu & Anton Beljaars

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  1. Parametrization of the planetary boundary layer (PBL)Irina Sandu & Anton Beljaars Introduction Irina Surface layer and surface fluxes Anton Outer layer Irina Stratocumulus Irina PBL evaluation Maike Exercises Irina & Maike

  2. Why studying the Planetary Boundary Layer ? • Natural environment for human activities • Understanding and predicting its structure • Agriculture, aeronautics, telecommunications, Earth energetic budget • Weather forecast, pollutants dispersion, climate prediction

  3. Outline • Definition • Turbulence • Stability • Classification • Clear convective boundary layers • Cloudy boundary layers (stratocumulus and cumulus) • Summary

  4. qv Free troposphere 1 - 3 km Mixed layer 50 m surface layer PBL: Definitions The PBL is the layer close to the surface within which vertical transports by turbulence play dominant roles in the momentum, heat and moisture budgets. • The layer where the flow is turbulent. • The fluxes of momentum, heat or matter are carried by turbulent motions on a scale of the order of the depth of the boundary layer or less. • The surface effects (friction, cooling, heating or moistening) are felt on times scales < 1 day. Composition • atmospheric gases (N2, O2, water vapor, …) • aerosol particles • clouds (condensed water)

  5. Chaotic flow PBL: Turbulence • Characteristics of the flow • Rapid variation in time • Irregularity • Randomness • Properties • Diffusive • Dissipative • Irregular (butterfly effect) • Origin: • Hydrodynamic instability (wind shear) • Thermal instability

  6. PBL: Governing equations for the mean state • gas law (equation of state)  momentum(Navier Stokes)  continuity eq.(conservation of mass)  heat (first principle of thermodynamics)  total water  Reynolds averaging Averaging (overbar) is over grid box, i.e. sub-grid turbulent motion is averaged out. Simplifications Boussinesq approximation (density fluctuations non-negligible only in buoyancy terms) Hydrostatic approximation (balance of pressure gradient and gravity forces) Incompressibility approximation (changes in density are negligible)

  7. PBL: Governing equations for the mean state • gas law virtual temperature Reynolds averaging 

  8. PBL: Governing equations for the mean state • gas law virtual temperature Reynolds averaging Need to be parameterized !  2nd order momentum  mean advection Pressure gradient Viscous stress Turbulent transport gravity Coriolis

  9. PBL: Governing equations for the mean state • gas law virtual temperature Reynolds averaging  2nd order momentum  mean advection Pressure gradient Viscous stress Turbulent transport gravity Coriolis continuity eq. 

  10. PBL: Governing equations for the mean state • gas law virtual temperature Reynolds averaging  2nd order momentum  mean advection Pressure gradient Viscous stress Turbulent transport gravity Coriolis continuity eq.  heat  mean advection turbulent transport Latent heat release radiation

  11. PBL: Governing equations for the mean state • gas law virtual temperature Reynolds averaging  2nd order momentum  mean advection Pressure gradient Viscous stress Turbulent transport gravity Coriolis continuity eq.  heat  mean advection turbulent transport Latent heat release radiation Total water  total water  mean advection turbulent transport precipitation mean advection turbulent transport precipitation

  12. virtual potential temperature buoyancy production mechanical shear turbulent transport pressure transport dissipation ( ) q = q + - 1 0 . 61 q q v v l PBL: Turbulent kinetic energy equation  TKE: a measure of the intensity of turbulent mixing An example : • v’ < 0 , w’ < 0 or v’ > 0 , w’ > 0 w’ v’ > 0 source • v’ < 0 , w’ > 0 or v’ > 0 , w’ < 0 w’ v’ < 0 sink 

  13. PBL: Stability (I) • Traditionally stability is defined using the temperature gradient • v gradient (local definition): • stable layer • unstable layer • neutral layer • How to determine the stability of the PBL taken as a whole ? • In a mixed layer the gradient of temperature is practically zero • Either v or w’ v’ profiles are needed to determine the PBL stability state stable unstable z z v v

  14. Stable Unstable PBL: Stability (II) (Stull, 1988) ?

  15. Bouyancy flux at the surface: Monin-Obukhov length: unstable PBL (convective) stable PBL neutral PBL -105m  L  –100m unstable PBL -100m < L < 0 strongly unstable PBL 0 < L < 10 strongly stable PBL 10m  L  105m stable PBL |L| > 105m neutral PBL Or dynamic production of TKE integrated over the PBL depth stronger than thermal production PBL: Other ways to determine stability (III)

  16. PBL: Classification and scaling • Neutral PBL : • turbulence scale l ~ 0.07 H, H being the PBL depth • Quasi-isotropic turbulence • Scaling - adimensional parameters : z0, H, u* • Stable PBL: • l << H (stability embeds turbulent motion) • Turbulence is local (no influence from surface), stronger on horizontal • Scaling : , , H • Unstable (convective) PBL • l ~ H (large eddies) • Turbulence associated mostly to thermal production • Turbulence is non-homogeneous and asymmetric (top-down, bottom-up) • Scaling: H,

  17. Clear convective PBL Cloudy convective PBL PBL: Diurnal variation

  18. Greenhouse effect : warming Infrared radiation Umbrella effect : cooling Boundary layer clouds (low clouds) Solar radiation Clouds effects on climate High clouds, like cirrus stratocumulus Shallow cumulus

  19. - R / c æ ö d p p q = ç ÷ T ø è p 0 ql= qt-qsat  Cloud base L v q » q - q l l c p qsat qsat PBL: State variables Clear PBL Cloudy PBL Specific humidity Total water content Liquid water potential temperature Evaporation temperature Potential temperature qt l qv l=  Conserved variables Conserved variables

  20. Clear Convective PBL qt v qsat Stephan de Roode, Ph.D thesis Free atmosphere Inversion layer mixed layer surface layer

  21. Turbulent transport and pressure term Main source of TKE production Clear Convective PBL • Buoyantly-driven from surface • turbulent fluxes : a function of convective scaling variables: • PBL height: • Entrainment rate: with (a possible parameterization ) • Fluxes at PBL top: • Key parameters: inversion 0.7 H level of neutral buoyancy

  22. Cloudy boundary layers Stephan de Roode, Ph.D thesis qt qsat v Free atmosphere Inversion layer Stratocumulus topped PBL mixed layer surface layer v qsat qt Free atmosphere Dry-adiabatic lapse rate Inversion layer Cumulus PBL Conditionally unstable cloud layer wet-adiabatic lapse rate Subcloud mixed surface layer

  23. Cloud top entrainment • Buoyantly driven by radiative cooling at cloud top • Surface latent and heat flux play an important role • Cloud top entrainment an order of magnitude stronger than in clear PBL • Solar radiation transfer essential for the cloud evolution • Key parameters: Long-wave cooling condensation Long-wave warming Stratocumulus topped boundary layer • Complicated turbulence structure

  24. Cloudy boundary layers Stephan de Roode, Ph.D thesis qt qsat v Free atmosphere Inversion layer Stratocumulus topped PBL mixed layer surface layer v qsat qt Free atmosphere Dry-adiabatic lapse rate Inversion layer Cumulus PBL Conditionally unstable cloud layer wet-adiabatic lapse rate Subcloud mixed surface layer

  25. Active cloud CAPE Cumulus capped boundary layers • Buoyancy is the main mechanism that forces cloud to rise

  26. Represented by mass flux convective schemes • Decomposition: cloud + environment • Lateral entrainment/detrainment rates prescribed • Key parameters: Cumulus capped boundary layers • Buoyancy is the main mechanism that forces cloud to rise

  27. PBL: Summary • Characteristics : • several thousands of meters – 2-3 km above the surface • turbulence, mixed layer • convection • Reynolds framework • Classification: • neutral (extremely rare) • stable (nocturnal) • convective (mostly diurnal) • Clear convective • Cloudy (stratocumulus or cumulus) • Importance of boundary layer clouds (Earth radiative budget) • Small liquid water contents, difficult to measure

  28. Bibliography • Deardorff, J.W. (1973) Three-dimensional numerical modeling of the planetary boundary layer, In Workshop on Micrometeorology, D.A. Haugen (Ed.), American Meteorological Society, Boston, 271-311 • P. Bougeault, V. Masson, Processus dynamiques aux interfaces sol-atmosphere et ocean-atmosphere, cours ENM • Nieuwstad, F.T.M., Atmospheric boundary-layer processes and influence of inhomogeneos terrain. In Diffusion and transport of pollutants in atmospheric mesoscale flow fields (ed. by Gyr, A. and F.S. Rys), Kluwer Academic Publishers, Dordrecht, The Netherlands, 89-125, 1995. • Stull, R. B. (1988) An introduction to boundary layer meteorology, Kluwer Academic Publisher, Dordrecht, The Netherlands. • S. de Roode (1999), Cloudy Boundary Layers: Observations and Mass-Flux Parameterizations, Ph.D. Thesis • Wyngaard, J.C. (1992) Atmospheric turbulence, Annu. Rev. Fluid Mech. 24, 205-233

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