Using a Mesoscale Model to Identify Convective Initiation in an ARTCC/CWSU Environment Warren R.

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Transcript Using a Mesoscale Model to Identify Convective Initiation in an ARTCC/CWSU Environment Warren R.

Using a Mesoscale Model to
Identify Convective Initiation
in an ARTCC/CWSU
Environment
Warren R. Snyder
NOAA/NWS Weather Forecast Office
Albany, New York
Mark R. McKinley
NOAA/NWS Center Weather Service Unit
Oberlin, Ohio
Allison R. Vegh
Department of Earth and Atmospheric Sciences
University at Brockport State University of New York
Brockport, New York
Why does convective initiation matter to
the National Airspace System (NAS)
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Causes of air traffic Delays
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76 % of involve weather
24% involve thunderstorms
17% Ceilings
14% each for visibilities and wind
Result…Ground Stops & Delays
• Significant costs from $3K to 300K/flight
• Safety Issues
• Your sitting in the airport delayed for hours or
days !!!
Purpose of the Study
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Improve convection initiation forecasts of
CWSU Oberlin using a mesoscale model
Can better forecasts reduce ground stops,
improving convection avoidance, and
earlier or later re-routings
Proof of concept
How much $$$ can the industry save?
To run the full modeling system in a CWSU
costs $49 a month for a T1 and $4000 for
the PC
How much does jet fuel cost?
WSETA project at CWSU Oberlin,
Ohio and WFO Albany, NY
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Training Provided to CWSU Staff April 2004
Model data posted on CSTAR server twice a day via gempak
graphics on the internet.
SUNY Student compared six fields identified by MIC/SOO as most
likely to be indicative of convective initiation using data from
Summer 2004 to early June 2005.
Parameters with best performance
• Hourly Convective Precipitation
• 700 HPA Omega
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Modeling system - Dell Pentium 4 , 2400 mHz Linux PC
Model run for 24 hours. 06 UTC and 18 UTC runs with output
posting 0800 UTC/2000 UTC
Kain-Fritcsh Convective Parameterization, Nested - Outer nest
resolution is 15 km, Inner Nest 7.5 km resolution, Diffusion is 0.30
versus 1.0 in operational models. Most parameters configured at
SOO/STRC baseline.
Study Area – Oberlin Service Area
Squared off
Results Part I
Performance
850 hPa
Theta-E
Hrly
700 hPa
Convective
Omega
Precipitation
850 hPa Jet
250 hPa
Divergence
BL
Convergence
Good
6
5
9
4
6
6
Acceptable
8
19
18
5
14
12
Poor
15
5
2
17
9
11
Good
21%
17%
31%
14%
21%
21%
Acceptable
28%
66%
62%
17%
48%
41%
Poor
52%
17%
7%
59%
31%
38%
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Definitions - % of convection
in area forecasted by model
parameter
• Good – 75% or more
• Acceptable – 25% to 75%
• Poor – Less than 25%
HCP - Acceptable or Good 83%
700 hPa Omega- Acceptable or
Good 93%
Hourly Convective Precipitation
(HCP) vs. 700 hPa Omega
Part II – Comparing 700 hPa
Omega and HCP forecasts to
NLDN Data
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Used all convective events from June to
September 2005 in CWSU Oberlin area
NLDN data plots every lightning stroke at
exact lat/lon points
Assess accuracy of model parameters in
time and space
UAlbany students extracted the data
Software developed by Vasil Koleci to plot
lighting data hourly over the area
87 events identified, 3 dropped as only
SHRA and no lightning occurred
Comparison of Model 700 hPa
Omega/HCP Convective
Configuration with NLDN data
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Excellent (4)–Model data match in
location, and structure/orientation.
Good – (3) If structure/orientation are
very similar but location is off by 160 km,
or location is within 160 km and
structure/orientation are different
Fair – (2) If they are both in the same ¼
of a state or states, or overlap each other
25% or less
Poor – (1) No match
Results for Configuration
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700 hPa Omega had an average of
3.08 configuration. 74 events where
good or excellent, only 10 fair and
poor
HCP – Had an average 2.81
configuration. 63 Events good or
excellent, 21 Fair or Poor
Results for Timeliness
700 hPa Omega and HCP forecasted
the time of initiation at the same
time in all but 9 cases
 Average model time error for
convective initiation was 37.5
minutes
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• 54 events were forecast within an hour
• 19 events between one and two hours
• 11 events between two and three hours
Distance Error
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Distance from the model convection to the
actual lighting at initiation
Average for 700 hPA Omega 33 km
• All but one event within 240 km
• 240 km is the distance a jet travels in 15
minutes
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Average for HCP 86 km.
• All but 5 events within 240 km
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Difference likely the result of the much
more specific locations of HCP versus the
general broader areas of 700 hPa Omega
Future Directions
Model converted over to the WRF
 WRF data being provided to CWSUs at
Nashua and Oberlin
 Will undertake a similar study during the
2007 convective season using the WRF
 New products available such as model
Composite Reflectivity
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References
Based on ER Tech Attachment 2006-01
“Using a Mesoscale Model to Identify
Convective Initiation in an
ARTCC/CWSU Environment” 2006:
Snyder W.R, McKinley M.R. and Vegh
A.R.
 Original Paper can be found online at
 http://www.werh.noaa.gov/SSD/erps/t
a/ta2006-01.pdf
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