evaluation of “climatology of storm reports relative to upper-level jet streaks” by clark et al
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Evaluation of “Climatology of Storm Reports Relative to Upper-Level Jet Streaks” by Clark et al. By: Kristin Bremer & Sean Archer. Outline. Introduction Background Previous work Extended work Data & Methodology Data retrieval How jet streak was defined How data was analyzed Results - PowerPoint PPT PresentationTRANSCRIPT
BY: KRISTIN BREMER&
SEAN ARCHER
Evaluation of “Climatology of Storm Reports Relative to Upper-Level Jet Streaks” by Clark et al.
Outline
IntroductionBackground
Previous work Extended work
Data & Methodology Data retrieval How jet streak was defined How data was analyzed
Results Jet streak position relative to storm reports Jet streak composite fields Jet streak curvature Jet streak direction
Discussion & Conclusions
Introduction
Ageostrophic winds result in upper-level divergence in the right-entrance and left exit regions of a jet streak
Jet streaks are said to be important in the development of severe wx because they help to: Decrease static stability Cool air to saturation in a layer of air Release CAPE Enhance moisture convergence at low-levels Enhance vertical wind shear
Background
Based on paper by Rose et al. 10 year climatological study of F1 and above tornado occurrences
relative to 250 hPa jet streaks Used 4 quadrant model Did not considered other major jet dynamics Found that the majority of the tornado reports were in the exit
quadrants of jet, specifically the left-exit Concluded that there were errors when using the 4 quadrant model
Clark et al. extended these results by not only looking at all tornado reports in U.S. but also hail reports and wind reports
Clark et al. will also be looking at other cloud dynamics such as upper-level divergence, curvature, and direction of jet streaks
Data & Methodology
Upper-level jet streaks: North American Regional Reanalysis (NARR)
Storm reports: National Climatic Data Center (NCDC) on the Storm Prediction Center Website
March-September 1994-2004Only jet streaks that occurred at 0000 UTC
with storm reports being within 3 hour period Any storm report within this time period but was
outside of the jet streak was deemed a “non-jet-related” report
Data & Methodology
How jet was defined: Enclosed area of 25 m/s+ winds Mark jet core and jet endpoints Jet core defined as point within the area of max wind
speed where the acceleration became zero Max major jet axis at 1000 km
After each jet was defined, it was placed on 77 x 37 grid with the jet core at the center using Grid Analysis and Display System (GrADS)
(Clark et al.)
Results
A) Jet streak position relative to storm reports 105,987 storm reports out of 126, 864 analyzed fell
within jet streak-84% Peak month for both jet-related and non-jet-related
was June and May was the peak month for jet-related storm reports
Most likely due to north migration of jet stream Non jet-related reports were most likely due to MCS
which usually occur outside a jet streak and during July and August when these reports were at its peak
Results
A) Jet streak position relative to storm reports cont’d March and April-Storm reports majority in left-exit April-Storm reports majority in right-entrance After April the right-exit region was favored which is
not consistent with 4QM Tornado reports-Exit region favored, specifically the
left exit Hail reports-More evenly distributed but a majority
were found in the left exit Wind reports-majority in right entrance
Results
B) Jet streak Composite fields Upper-level divergence does not exactly coincide with
the 4QM-slight displacement toward cyclonically sheared side of jet streak
Number of storm reports matched up with areas of strong upper-level divergence in entrance regions, specifically right-entrance
Exit regions had most reports just south of area of high upper-level divergence (right-exit)
Exit-regions seemed to coincide better with low-level convergence
Results
C) Jet Streak Curvature Radius of curvature R = 𝐿/∆𝑑 R* = (1/R) x 〖 10〗^4 Linear (-1.5≤R*≤1.5) Cyclonic (R*≥5.0) Anticyclonic (R*≤-5.0) Jet streaks with values
outside above intervals are not used
Jet Streak Curvature: Storm Report Distribution
Results
C) Jet Streak Curvature (Distribution Results) Matched conceptual models (Beebe and Bates, 1955) Matched numerical simulations (Moore and
VanKnowe, 1992) Anticyclones – stronger max divergence/convergence
and stronger vertical velocity contradicts Moore and Vanknowe
Areas of storm report maxima experienced max divergence aloft and max convergence at the surface with a low pressure centered in the region
Jet Streak Curvature: Atmospheric Conditions
Results
D) Jet streak Direction Jet streaks categorized
into 6 ranges of directions
Easterly jet streaks were ignored
SW and WSW were the most active and had the most storm reports
Jet Streak Direction: Storm Report Distribution
Jet Streak Direction: Atmospheric Conditions
Discussion & Conclusions
The left exit (right entrance) region contained the most storm reports in April and May (after April)
Storm reports were concentrated on the axis in the exit region and the center of the right entrance region
Anticyclonic curvature had the stronger vertical velocity while linear had the weakest
More storm reports in WSW and SW oriented jet streaks
Based on the results by Clark et al., jet streaks play a major role in the development of severe wx
Questions?