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Observed Low-level Cloud Morphology Associated with Tornadogenesis - - PowerPoint PPT Presentation

Observed Low-level Cloud Morphology Associated with Tornadogenesis Events During the Southeastern United States Cool Season Christopher A. Lisauckis, Kevin R. Knupp University of Alabama in Huntsville Department of Atmospheric Science/SWIRLL I.


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Observed Low-level Cloud Morphology Associated with Tornadogenesis Events During the Southeastern United States Cool Season Christopher A. Lisauckis, Kevin R. Knupp University of Alabama in Huntsville Department of Atmospheric Science/SWIRLL

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I. Introduction

  • Cold season defined as the months of December, January, and February
  • Tornadogenesis in the southeastern United States often occurs under a

broader range of conditions than other regions

  • High-Shear Low Cape (HSLC) events pose major operational forecasting

challenges

  • Both Quasi-Linear Convective System (QLCS) and supercell convective

modes have been observed under HSLC conditions

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II. Background and Motivation

  • Parameterization of the convective boundary layer via Numerical Weather

Prediction (NWP) (Cohen et al. 2015)

  • Cloud top mixed layers are especially challenging
  • Lifted Condensation Level (LCL) height and its role in HSLC environments

(Rasmussen & Blanchard 1998)

  • Low level thermodynamic characteristics in southeastern U.S. tornado

events (Jackson & Brown 2009)

  • Differences between LCL height and observed cloud base height (Craven et
  • al. 2002)
  • Importance of boundary layer relative humidity in tornadogenesis

(Markowski & Richardson 2008)

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  • III. Methodology
  • Lidar ceilometer (University of Alabama in Huntsville (UAH) & NOAA ASOS

datasets) - cloud base height, cloud fraction

  • Doppler wind lidar - boundary layer profiles of wind
  • 915 MHz wind profiler - turbulence (e.g., variance of vertical motion)
  • Microwave profiling radiometer - water vapor
  • Radiosondes
  • Current cases: Alabama, Mississippi, Louisiana, Georgia, and Tennessee.
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  • IV. Results (Preliminary)
  • Cold season tornadoes in the southeast display a much broader range of

temporal occurrence

  • Cloud base height tends to be <800 meters
  • QLCS cases had the highest observed cloud base height in the study
  • QLCS cases had highest storm relative helicity
  • Cloud cover tends to dominate southeast cold season tornado days hours in

advance of tornado genesis

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3 5 5 1 2 3 4 5 6 December January February

Cold Season Tornado Days Within 120 km of ARMOR Radar

(December 2004-February 2016)

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26 12 5 10 15 20 25 30 QLCS Supercell Other

Cold Season Storm Mode Distribution (Dec. 2004 – Feb. 2016)

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2 5 5 4 2 8 1 3 3 5 1 2 3 4 5 6 7 8 9

00/01 02/03 04/05 06/07 08/09 10/11 12/13 14/15 16/17 18/19 20/21 22/23

Bi-Hourly Cold Season Tornado Distribution (Dec. 2005 - Feb. 2015)

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623 568 670 629 466 413 511 474 695 620 763 545 100 200 300 400 500 600 700 800 900 All Cases (26) Supercell (12) QLCS (14) QLCS Nulls (6) NOAA Ceilometer LCL (Lawrence) SPC Meso

Cloud Base Height - All Cases (25)

meters

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Comparison of Cloud Base Height Among Three Sources

Difference between observed cloud base and estimate is 100 m. Possible reasons:

  • Decoupling between surface and

sub-cloud boundary layer

  • Negative gradient in mixing ratio
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819 877 100 200 300 400 500 600 700 800 900 1000 Shared Cases Within 45 km of UAH UAH (6) ASOS (6)

meters

Ceilometer Observed Cloud Base Height Comparison

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511 479 533 363 665 604 772 491 100 200 300 400 500 600 700 800 900 All Cases (26) Supercell (12) QLCS (14) LCL (Lawrence) 6-12 UTC 18-00 UTC

meters

100%

Ceilometer Observed Cloud Base Height

Daytime and Nocturnal Tornado and Storm Mode Distribution

71.0%

73.8% 116.0% 104.3% 90.8% 93.7% 100%

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Daytime/Nocturnal Ceilometer Observed Cloud Base Height by Storm Mode

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629 474 545 100 200 300 400 500 600 700

Non-Severe QLCS (Null) Cases

ASOS (6) LCL - Lawrence (6) SPC Meso (6)

meters

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Time Series of Ceilometer Observed Cloud Fraction

  • Cases consist of 5

QLCS’s and 1 supercell Tornado Genesis

  • Timescale is from 3 hours

before tornado genesis to 45 minutes after

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352 310 394 413 368 459 445 404 486 100 200 300 400 500 600

All Cases (20) Supercell (10) QLCS (10) 0-1 km 0-2 km 0-3 km

m2/s2

Storm Relative Helicity 915 MHz and VAD Wind Profiler Derived Storm Relative Helicity

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February 28, 2011 QLCS Tornado Genesis Case

MPR observed liquid water content Ceilometer observed cloud base height

Onset of rain results in rapid decline in fields…

Rain Onset Rain Onset

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  • V. Conclusions
  • Stratification of the low cloud deck often results due to strong advection
  • Low clouds prevail for at least three hours prior to southeast cold tornadoes

indicating common cloud-top mixed layers

  • Day/night difference of SRH
  • Importance of cloud climatology to NWP validation
  • VI. Future Work
  • Continue adding additional ceilometer cases to improve statistics
  • Study mixed layer characteristics via radiosondes
  • Compare radiosonde and ceilometer observations
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Acknowledgements

  • I would like to thank:
  • My advisor: Dr. Kevin Knupp
  • Additional committee members: Dr. Larry Carey and Dr. Tim Coleman
  • Supporting contributions: Kyle Pennington, Corey Amiot, David Halizcer, Christina

Leach *Funding for this research provided by: Subcontract 191001.363513.04A from the Northern Gulf Institute

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References

  • Brown, M. E., and J. Jackson, 2009 Sounding-Derived Low-Level Thermodynamic

Characteristics Associated With Tornadic And Nontornadic Supercell Environments In The Southeast United States. National Weather Digest, 33, 15-26.

  • Cohen, A. E., S. M. Cavallo, M. C. Coniglio, and H. E. Brooks, 2015: A review of planetary

boundary layer parameterization schemes and their sensitivity in simulating southeastern U.S. cold season severe weather environments. Wea. Forecasting, 30, 591–612.

  • Craven, J. P. , R. E. Jewell, and H. E. Brooks, 2002: Comparison between Observed Convective

Cloud-Base Heights and Lifting Condensation Level for Two Different Lifted Parcels. Wea. Forecasting, 17, 885–890.

  • Markowski, P. M., and Y. P. Richardson, 2009: Tornadogenesis: Our current understanding,

forecasting, considerations, and questions to guide future research. Atmospheric Research, 93, 3-10.

  • Rasmussen, E. N. and D. O. Blanchard, 1998: A Baseline Climatology Of Sounding-Derived

Supercell And Tornado Forecast Parameters. Wea. Forecasting, 13, 1148-1164.