Lake Arrowhead 16 June 2005 Stable Boundary Layers working group Bjorn first suggests relaxing to a PowerPoint PPT Presentation

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Title: Lake Arrowhead 16 June 2005 Stable Boundary Layers working group Bjorn first suggests relaxing to a


1
Lake Arrowhead 16 June 2005Stable Boundary
Layers working groupBjorn first suggests
relaxing to a mixed-layer model. Bert then argues
for the K-profile model. And then we found a
look-up table and celebrated our success with a
case of beer 
  • SBL Team Bob Beare, Wayne Angevine, Bert
    Holtslag, Branko Kosovic, Julie Lundquist,
    Thorsten Mauritsen, Bjorn Stevens, Gunilla
    Svensson, Brian (UCLA)

2
What do we know now that we didnt know 10 years
ago
  • There are different kinds of stable boundary
    layers long-lived and nighttime boundary layers
    (and then flow over cold pools).
  • There is an emerging awareness among the climate
    community that SBLs are a modeling problem. (IPCC
    ACIA (Arctic Climate Impact Assessment) reports
    specifically address SBLs.)
  • We have developed a stable boundary layer
    community via collaborations like CASES, SHEBA,
    GABLS.

3
What do we know now that we didnt know 10 years
ago (2)
  • Observations in the SBL have increased
    dramatically, and recognition of the non-local
    effects on SBLs is addressed.
  • Some theoretical advances have been made (e.g.
    Derbyshire 99, Van de Wiel 2002) since the early
    pioneers (Zilitinkevich, Nieuwstadt, Wyngaard
    Brost).
  • We are making progress in using LES as a standard
    tool in diagnosing stable boundary layers. In
    the 1980s, LES of SBLs couldnt be done. Many
    LES now converge in an encouraging way.

4
What do we know now that we didnt know 10 years
ago (3)
  • Some progress has been made on understanding the
    transitions to and from SBLs. The evening
    transition is generally understood to be gradual
    and starts early. The morning transition is
    understood to be driven by entrainment.
  • Some success in SBL simulation has been seen
    using sharp-tails at high-resolution, especially
    in fog conditions.

5
Main unsolved problems (1)
  • Why do synoptic-scale models degrade when they
    implement our more specific understandings of
    SBLs (e.g. sharp-tails)? Is it Ekman pumping or a
    complicated nonlinear interaction of multiple
    messy things. (And what precision is required for
    declaring success?)

6
Main unsolved problems (2)
  • We are having problems generalizing the different
    types of SBLs. Lots of different kinds of SBLS,
    so its difficult to generalize (and simulate in
    the laboratory). How much do we need to
    categorize the unique phenomena before we can
    untangle them and generalize?

7
Main unsolved problems (3)
  • Some observations for testing existing
    formulations are lacking or unobservable. For
    example, how to define dynamical forcing (e.g.
    geostrophic wind, subsidence) or boundary
    conditions (e.g. roughness lengths).
  • Although the diurnal cycle is important across
    many communities, transitions are not completely
    understood.

8
Main unsolved problems (4)
  • Dont have enough observations for model testing
    and validation representativity is an issue
    need more profiles need volume averages need
    fluxes over larger scales need reliable flux
    measurements in the surface layer
  • Not much laboratory experimentation (too hard?)
  • What is the impact of the SBLs on trace gas
    budgets and atmospheric chemistry?

9
Main unsolved problems (5)
  • What are we using as boundary-conditions for
    surface fluxes? We know that MO doesnt work very
    close to the surface. LES has the same problem.
  • Long-term funding to address SBL problems or to
    establish and perpetuate collaborative efforts
    (especially between observationalists/ modelers/
    theoreticians) has been systematically lacking,
    particularly in the US.

10
Low-hanging fruit (1)
  • Modeling studies Use PCMDI/AMIP climate
    simulations (2m Arctic temperatures, low-level
    cloud albedo) to look at the influence of the
    stability functions and determine if SBL matters
    and how much. (Need to tease out the compensating
    errors.) Also, coupled ocean-atmosphere modeling
    efforts (ARCMIP regional climate models over the
    SHEBA area) modeling.
  • Modeling Coastal sbl problem (warm air over cold
    water) could be solved with brute force
    (sufficient horizontal and vertical resolution in
    modeling).      

11
Low-hanging fruit (2)
  • Modeling Numerical experiment playing with
    length scales between the SBL and free
    troposphere could address issue of cyclone
    intensity is the SBL effect overemphasized?
  • Observations and Modeling The long-lived
    boundary layer might be where the most progress
    can be made in high-latitude regions, we can
    integrate over a long enough time and over large
    enough spaces. We suggest establishing a
    long-term comprehensive observing site as a
    laboratory.  

12
Low-hanging fruit (3)
  • Observations and Modeling Focus on the nocturnal
    boundary layer mine the extensive datasets
    already collected. More collaboration between
    observationalists and modelers is needed to
    distill datasets into model-relevant
    boundary-layer parameters (sfc fluxes,
    boundary-layer height, dynamic forcing, etc.).
    Should also ensure collection of observations in
    different locations for model-tuning exercises.
  • Modeling Forecast skill scores could be defined
    to include SBL parameters (2m T, PBL height, wind
    angle, etc.)

13
Low-hanging fruit (4)
  • Modeling More exploration of the question of
    vertical resolution over land could be fruitful.
  • Modeling Can we declare success regarding the
    (highly-caveated) weakly-stable nocturnal
    boundary layer in mid-latitudes over land? Height
    predictions may be OK how about fluxes? And how
    precise do we need to be?

14
Hypothetical future fruit on trees that have just
been planted
  • Observations Collect datasets with different
    stabilities, surface fluxes, boundary-layer
    heights, geostrophic winds, for testing models
    with. Profiles of winds, temperature, TKE, would
    be preferable.
  • For climate modeling, the identification of the
    low-level inversions in the Arctic, which is due
    to interaction with the surface, is important.
    (Cant resolve sharp inversions with poor
    vertical resolution.) 2007/8 the International
    Polar Year     

15
Complex problems
  • Need a simplified expression of the
    strongly-stratified intermittent stable boundary
    layer.
  • Gravity waves
  • Katabatic flows and density currents
  • Advection of turbulence (non-local)
  • Enclosed basins and their stagnant decoupled cold
    pools
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