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Upward soil heat flux (cold air over warm ground) ... 1.) Cold Front Passage (14 cases) 2.) Residual Cold Pool (23 cases) 3.) Coastal Low (25 cases) ... – PowerPoint PPT presentation

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Title: mcgill freezing rain


1
Physical Processes Synoptic Patterns
Accompanying Cold-Air Damming Erosion
Wendy Stanton Gary Lackmann Mike Brennan North
Carolina State University
NWS CSTAR Co-Lab, 15 October 2002
RUC analysis sfc obs for 12 UTC 10 October 2002
GFS 48-h Fcst
Eta 48-h Fcst
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Outline
  • I. Briefly review earlier research on CAD types
  • A. Maximum temperature impacts
  • B. Precipitating and dry CAD
  • II. Recent CAD erosion research results
  • A. Review of CAD erosion mechanisms
  • B. Synoptic erosion scenarios
  • C. Case study Model CAD erosion versus
    observations

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I. Earlier CSTAR CAD Research
  • One of original C challenges Forecasting
    issues related to Cold-Air Damming (CAD)
  • Earlier CAD Research (C. Bailey)
  • CAD detection algorithm (captured full CAD
    spectrum)
  • Developed CAD sub-type composites
  • see http//www4.ncsu.edu/nwsfo/
  • Stratification of CAD by sensible weather impacts
  • Maximum temperature in damming region
  • Precipitating vs. dry

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A. High-Impact Vs. Low-Impact CAD
  • Stratified classical CAD cases by impact on Tmax
  • One composite contains cases with Tmax 15F or
    more below climatology at GSO (high impact)
  • The other cases where Tmax was 2F or less below
    climo, or above climo at GSO (low impact)
  • Can you tell which is which?

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CAD is Not a Monolithic Phenomenon!
Sea level pressure, anomaly
HIGH-IMPACT CAD
LOW-IMPACT CAD
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B. Precipitating Vs. Dry CAD
  • Original CAD sub-types identified in 10-yr
    climatological sample
  • Major distinction dry onset versus
    precipitating CAD

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CAD Sub-Type Summary
  • Sea-level pressure does not tell the whole CAD
    story!
  • Key upper-air features
  • Upper jet dominates precipitating high-impact
    cases
  • Ridge at 500 mb west of CAD region in dry onset
    composite
  • 850-mb ridge axis over CAD region in dry onset
    composite
  • E-W high elongation in precipitating, high-impact
    cases
  • N-S elongation in dry onset weak impact cases
  • For details, see Bailey et al. 2002 paper
  • (submitted to WAF over the summer, in review)

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II. CAD Erosion Research
  • Specific NWS CSTAR challenge CAD erosion
  • Model guidance Usually pre-mature erosion of
    CAD cold dome. Why?
  • Much work needed to understand CAD erosion
  • What physical processes are active?
  • Do different physical processes act in different
    synoptic settings?
  • Which processes are most problematic for NWP
    models?
  • How can model representations be improved?
  • Which situations can forecasters expect to be
    most problematic?

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II. A. Candidate CAD Erosion Processes
  • 1.) Heating from bottom up (surface warming)
  • Cold dome mixes out due to surface heating
  • Solar radiation
  • Upward soil heat flux (cold air over warm ground)
  • Clear-air, warm season CAD often ends in this
    manner

Red before Blue after
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Candidate CAD Erosion Processes
  • 2.) Turbulent mixing at cold dome top (inversion)
  • Strength of mixing depends on strength of shear,
    inversion (Ri)
  • Strong shear/weak inversion (small Ri) mixing
    favored
  • Result Top-down CAD erosion

Fort Meade, MD
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Candidate CAD Erosion Processes
  • 3.) Divergence near surface
  • Pressure falls to north, cyclone to NW of CAD
    region
  • Stronger PGF, winds in northern CAD region
  • Depth of cold dome decreases via continuity
    (Lackmann Overland 1989)

Cross-sectional view
Inversion layer
UP
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Candidate CAD Erosion Processes
  • 4.) Inland Coastal Front Movement
  • Boundary of cold dome (CF) moves inland
  • May accompany pressure falls to N, surface
    divergence
  • Usually only affects eastern areas of damming
    region

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Candidate CAD Erosion Processes
  • 5.) Downslope Scouring Two Scenarios
  • a.) Cold-Frontal Passage b.) Coastal Cyclone
  • (as in Bell Bosart 1988)

L
L
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B. CAD Erosion Composites
  • CAD Demise Composites Surrogate for dominant
    physical processes in CAD erosion
  • Compositing Strategy
  • Used classical CAD cases, 1984-1995 (from Bailey
    algorithm)
  • 90 total cases
  • Examined patterns in MSLP and surface ?e
  • Noted locations of hi/low centers fronts at
    erosion times
  • Classified each case according to synoptic
    pattern
  • 1.) Cold Front Passage (14 cases)
  • 2.) Residual Cold Pool (23 cases)
  • 3.) Coastal Low (25 cases)
  • 4.) NW Low (23 cases)

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1.) Cold-Frontal Passage
  • Dominant Erosion Processes
  • Downslope northwesterly flow, subsidence,
    adiabatic warming
  • Model Performance
  • Adequate, provided accurate depiction of cold
    front passage
  • Eta often too fast with cold FROPA in North
    Carolina
  • Features
  • Cold front arrives in damming region within 6 hrs
    of CAD demise

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2.) Residual Cold Pool
  • Dominant Erosion Processes
  • Solar heating within cold dome
  • CAD airmass doesnt always go away when Baker
    ridge does
  • Model Performance
  • Hinges on model ability to properly depict clouds
    (problematic)
  • Largest error near surface
  • Features
  • Surface high ill-defined and baggy
  • No synoptic systems influencing erosion

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20
3.) Coastal Low
  • Dominant Erosion Processes
  • Downslope flow, adiabatic warming
  • Divergence, cold dome air advected toward coast
  • Similar to case documented by Bell and Bosart
    1988
  • Model Performance
  • Adequate, provided accurate forecast of coastal
    cyclone!
  • Features
  • Damming region remains in cold air during erosion

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4.) Northwestern Low
  • Dominant Erosion Processes
  • Solar heating surface-based mixing within cold
    dome
  • Mixing and entrainment at inversion
  • Divergence, Inland coastal front movement
  • Features
  • Flow in damming region becomes southerly,
    pressure falls to N
  • CAD cold dome does not disappear just because
    wind shifts!!!
  • Model Performance
  • POOR, difficulty representing multiple physical
    processes
  • Radiation, cloud, mixing problems

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Summary of Erosion Scenario Composites
  • Erosion scenario independent of CAD type
  • Synoptic patterns Link to dominant erosion
    process
  • Multiple processes may contribute to demise
  • NW Low scenario most difficulty for NWP due to
    nature of physical processes

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Summary of Erosion Scenario Composites
  • NW Low and Residual Cold Pool slowest erosion
    scenarios

39 h
30 h
26 h
20 h
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C. Case Study Model Experiments
  • Elucidate physical process(es) of CAD erosion in
    representative case study(ies)
  • Select two recent CAD cases in which the Eta
    model exhibited large errors
  • Perform detailed observational analyses
  • Pinpoint cause of operational model failure (with
    representation of CAD erosion)

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L
  • 10-14 December 2001
  • Onset 12/10 00Z,
  • Erosion began 12/13 03Z,
  • Demise 12/14 15Z
  • Unusual, multi-phase event,
  • NW Low erosion scenario, erosion prior to cold
    frontal passage
  • Poorly handled erosion by Eta, esp. in SW damming
    region

L
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Case Study Eta SLP Forecast
Analysis
Eta 24-h Fcst
Eta SLP Analysis, 00Z 13 December 2001
Eta 24-h SLP forecast, valid 00Z 13 December 2001
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  • Bias Forecast - Analysis
  • Forecast 330 K
  • Analysis 318 K
  • Eta ?e 12 K too high!
  • Forecast stronger gradient on eastern edge of
    cold wedge
  • Damming region can be seen in error pattern

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Eta 12 hr Forecast Vs. Observed
Greensboro, NC (GSO)
Observed Red
Model Blue
12/13 at 00Z
30
Case Study Conclusions
  • Observations cold dome eroded from top-down
  • Model cold dome eroded from bottom-up
  • Model surface heating too strong
  • Too much sun gets through Eta clouds? (NCEP)
  • Betts et al., 1997 and Yucel et al. 1998
  • Upward heat flux in soil?
  • Model sensitivity experiments underway
  • Examine cloud/radiation issue (transmissivity,
    path length)
  • Upper-air moisture profiles, cloud fraction
    versus satellite

31
Thanks to
  • NOAA/NWS CSTAR program (HQ, ER)
  • NWS CSTAR offices (esp. Kermit Keeter, Scott
    Sharp, Gail Hartfield, Neil Stuart, Larry Lee)
    and many others
  • Jeff Waldstreicher (Profiler and RASS images,
    encouragement)
  • NCSU Al Riordan, Chris Bailey (now at HPC), Lian
    Xie
  • NCEP Brad Ferrier
  • All of you for your comments and constructive
    criticism!

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RASS data
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