GCSS BLCWG update - PowerPoint PPT Presentation

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GCSS BLCWG update

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Observed cloud deepens and thickens very slightly in 8 hrs with well-constrained ... RH/stab. Dry adjustment. GISS SCM. Menon. Autoconv./coll., N = 100 cm-3. RH-pdf ... – PowerPoint PPT presentation

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Title: GCSS BLCWG update


1
GCSS BLCWG update
  • Chris Bretherton, BLCWG Chair
  • Thanks to
  • Andy Ackerman (LES case leader)
  • Margreet vanZanten/Bjorn Stevens
  • SCM and LES case participants
  • Other BLCWG attendees

2
RF01 case LES (Stevens et al. 2005 MWR)
  • 10 groups submitted 16 LES runs.
  • Observed cloud deepens and thickens very slightly
    in 8 hrs with well-constrained we 0.35 cm s-1.
    Almost all LES models predict we to within 30
    (good) but most considerably underestimate LWP.

3
  • A subset (4 of 16 LESs) predicted LWP better.
    These models used subgrid schemes which strongly
    inhibited SGS vertical mixing within the
    inversion layer. Their we and turbulent velocity
    variance profiles were also most consistent with
    observations.

4
RF01 SCM LWP and entrainment evolution
  • Within an hour, 10 SCMs diverge toward a wide
    range of LWP bracketing obs.
  • After this time, in most SCMs, LWP quasisteady
    with we within 50 of observed.
  • Most SCMs similar at high vs. normal resolution,
    correctly predict no drizzle.

5
DYCOMS RF02 nocturnal drizzling stratocumulus
Nd 45-70 cm-3
6
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11
Participating SCMs
Name SCM Turbulence Cld. Frac. Microphys.
Austin CCCMa4?
Chlond ECHAM4-5 moist TKE we pdf Sundquist
Kitagawa JMA 1st-order K RH-pdf Sundquist
Lappen CAM3 CAM3UW Nonlocal, sfc-based. K-profile, explicit-we RH/stab RH Autoconv./coll., N 65 cm-3
Larson 2GPDF-HOC From pdf Khair.-Kogan w. joint pdf
Lock UKMO Nonlocal, explicit-we RH-pdf Autoconv./coll., N 100 cm-3
Menon GISS SCM Dry adjustment RH/stab Autoconv./coll. (del Genio)
Roode RACMO EC CY23R4 K-profile, explicit-we Tiedtke Sundquist, PµLWC
12
Surface drizzle vs. LWP
  • Diverse sensitivities.
  • Microphysical parameterizations or droplet size
    assumptions?

13
Cloud-base drizzle vs. LWP
14
Precip vs. no-precip sensitivity studies
  • In drizzly models (except JMA), LWP increased
    substantially by drizzle suppression.

15
Discussion
  • Small revisions to case (Nd, u, fixed fluxes)
    revised submissions due Aug. 1 (must include real
    drizzle).
  • WG preferred not to initiate new case or meeting
    yet better to digest results we have and try to
    improve model performance on these two cases.
    Provides an opportunity for simplified
    microphysics-only intercomparison in a specified
    flow field.
  • Lots of interest in a RICO case when obs. are
    mature, and in some global GCM sensitivity
    studies (perhaps in intercomparison mode, perhaps
    using Pacific x-sect) to drizzle and
    sedimentation in boundary layer cloud.
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