Identification of Inhibiting Factors of a Null
Significant Tornado Event
Joshua M. Boustead
National Weather Service Forecast Office
Philip N. Schumacher
National Weather Service Forecast Office
Date of Submission: February 21st,
2007
Corresponding author address: Joshua M. Boustead, National Weather Service,
Abstract
A significant tornado
outbreak was forecast over a large portion of the Central and Northern Plains
on 5 June 1999. The outbreak was forecast to develop ahead of a strong
upper-level cyclone moving through the central
1. Introduction
The
interest and subsequent research in the area of severe local storms has
significantly increased over the past 50 years. This has led to the improvement
of conceptual models for anticipating severe weather, better tools for
assessing real-time information (e.g. GOES satellite, WSR-88D radars), and
additional parameters to help assess the type of severe weather most likely to
occur (e.g. Bulk Richardson Number Shear, Energy Helicity Index, Storm Relative
Helicity; see Rasmussen 2003 for more details). Much of the published research
to date has concentrated on the evolution of severe local storms once they have
developed, or events that were not forecast (Edwards et al. 2001), but not on
the process of convective initiation. In particular, there has been only a
limited amount of published research involving cases where severe local storms
appeared likely but failed to develop (null case studies) (Doswell et al.
2002).
For
the purpose of this study, a “null event” will be defined as a non-occurrence
of any forecasted weather element. In the case of 5 June 1999 a regional
tornado outbreak was forecast by the National Oceanic and Atmospheric
Administration (NOAA) Storm Prediction Center (SPC), including the risk of “large
and destructive tornadoes” (Fig. 1). Although
severe weather, including tornadoes, did occur in the highest risk area, only
two of the tornadoes reached F1 strength (Fujita 1981), with the rest of the
tornadoes surveyed at F0 intensity (Storm Data 1999). In addition, the
tornadoes that occurred were confined to a small geographical area generally
outside the high risk delineated by SPC. A plot of the documented severe
weather reports on 5 June is presented in Figure 2.
The majority of the severe weather reports were near an inverted trough, and
south of a synoptic cold front. A lack of significant severe weather events is
noted across central and southern
A limited amount of published
research has been done in the area of null event cases. This research is
critical to better understand what factors can inhibit severe weather. A better
understanding of these factors may enable forecasters to reduce the false alarm
rate, and in return, elicit better preparedness and response from customers
when severe weather is forecast. Doswell (1987; hereafter D87) presented a case
of a marginal severe weather threat on 6 May 1983 where the initiation of
convection was not certain due to a strong capping inversion and only modest
amount of low-level moisture present. D87 suggested that the initiation of
thunderstorms was a mesoscale process, and the occurrence of large-scale severe
weather outbreaks is most likely when the synoptic and mesoscale environment
favor severe weather development (McNulty 1995). On 6 May 1983 the synoptic
scale environment was marginally favorable for the development of severe
weather, but the mesoscale forcing was able to overcome the inhibiting factors
provided by the synoptic environment (the capping inversion and marginal
moisture) and produce intense convection.
A
study by Richter and Bosart (2002; hereafter RB02) looked at the suppression of
deep moist convection along the dryline in the Southern Plains. In RB02, a
detailed data set was available for examination of the convective environment
due to the operation of The Verification of the Origins of Rotation (VORTEX;
Rasmussen et al. 1994)[1].
In their study thunderstorms were expected to develop and become tornadic in a
targeted area of the
In
another null severe weather event Doswell et al. (2002; hereafter D02)
presented a case where isolated tornadic supercells were expected.
Thunderstorms did develop due to a favorable synoptic scale environment, but
mesoscale processes limited the tornado potential. In this case the supercell
was only able to produce tornadoes in a narrow axis of high Өe
air over extreme eastern
As
discussed in D02, the threat for severe weather, including tornadoes, exists on
many days across the central
D02 noted that factors that inhibit
convection can occur on the mesoscale and even the storm scale; this case study
identifies inhibiting factors that occurred on the synoptic scale. These
inhibiting factors had direct impact on the ability of the mesoscale, and
ultimately the storm scale, to produce widespread convection. The goal of this
study is to determine factors that may have prevented the expected significant
severe weather event from occurring. Since one cannot know conclusively what
the outcome would have been in the absence of inhibiting factor(s) in this
paper, inferences made from the observational data will be used to support the
conclusions of the study.
A
methodology is presented in section 2. A detailed analysis of the synoptic
environment is presented in section 3. Possible inhibiting factors are
identified in section 4. Section 5 covers the forecasting of the event. Finally
in section 6, conclusions are provided that discuss lessons to be learned from
this event and how these lessons can be applied to operational
forecasting.
2. Methodology
Observed upper air and surface data were
obtained and subjectively analyzed for 5 and 6 June 1999. The upper air data were objectively analyzed
to a 1° x 1° latitude and longitude using the Barnes objective analysis scheme
within the General Meteorological Package software (GEMPAK; DesJardins et al.
1991). Surface data were objectively
analyzed to a 0.5° x 0.5° grid. Both objectively analyzed data
sets were used to compute derived quantities such as vertical motion and
moisture convergence. Operational
numerical model data were also obtained for the Nested Grid Model (NGM), Eta
(Rogers et al. 1996), aviation model (AVN), and Rapid Update Cycle (RUC) model
(Benjamin et al. 2004). Data was
available from 0000 UTC 5 June through 0000 UTC 6 June. All data were reanalyzed to an 80 km grid
every 50 hPa from 1000 hPa to 100 hPa.
To calculate Q-vectors and divergence of Q-vectors, the gridded data
were then smoothed to remove most mesoscale waves using the filter described by
Barnes et al. (1996). The RUC model
initialized analysis was available every 6 hours, and was assumed to be
generally representative of the actual environment to be used in comparison
with data from the other operational models (Thompson and Edwards 2000).
3. Synoptic Discussion
a. Upper air analysis
Subjective
upper air analyses valid at 1200 UTC 5 June 1999 are presented in Figure 3. At 300 hPa, a deep trough and associated jet
maximum were located over the southern
At
0000 UTC 6 June 1999, the subjective upper air analyses indicated that the 300
hPa jet maximum, which was over New Mexico at 1200 UTC, had lifted into the
High Plains from Kansas into the Texas Panhandle (Fig. 4a).
At 500 hPa, the upper-level closed low had moved into
b. Surface analysis
A
complicated surface pattern existed across the Central Plains at 1200 UTC 5
June (Fig 5). Surface lows were analyzed in eastern
Figure 6 depicts 3-hourly subjective surface analyses
from 1500 UTC 5 June through 0000 UTC 6 June. As the day progressed, low
pressure over western
c. Convective parameters
An
analysis of common environmental convective parameters showed that conditions
appeared favorable for a regional tornado outbreak. Due to the presence of
steep mid-level lapse rates and significant low-level moisture, the atmosphere
was unstable across the Central Plains. As the boundary layer mixed and
deepened through the afternoon, 100 hPa mixed layer convective potential energy
(MLCAPE) increased across the area (Fig. 8). The
effect of the increase in stability from the passage of the surface trough
prior to 1200 UTC was apparent at
“Vertical Shear is expected to be quite
favorable for supercells
and potentially
significant tornadoes...with SRH (storm relative helicity)
300-500 J/KG...BRN
(Bulk Richardson number) shears of 70-120 J/KG...and
SR (storm
relative) flow generally AOA (at or above) 20 kt through most of
the troposphere.”
Although
the decrease in boundary layer moisture across the risk area with the passage
of the surface dryline prior to 1200 UTC led to a decrease in surface parcel
buoyancy, it does not appear that this was sufficient to decrease the risk of
significant tornadic supercells. The return of low-level moisture through the
afternoon was apparent in the surface analysis presented in Figure 6. Dewpoints across the risk increased into the
13 °C to 18 °C range by 0000 UTC 6 June. The increase in boundary layer
moisture is apparent in the series of observed soundings from LBF (section 4d).
This increase in low-level moisture was also apparent when the lifted
condensation level (LCL) on the 1200 and 1800 UTC 5 June LBF observed sounding
is compared to the 0000 UTC 6 June observed sounding (not shown). The LCL
increased from 545 m on the 1200 UTC sounding to 1630 m on the 1800 UTC
sounding. As the low-level moisture advected into the region, the LCL on the
0000 UTC 6 June sounding decreased to 1267 m. This LCL height is slightly above
the range of 500 m to 1100 m found by Rasmussen and Blanchard (1998) to be most
supportive of tornadic supercells[2].
4. Identification of the Inhibiting
Factors
It is hypothesized that the inhibiting factor that appears to have
prevented the significant tornado outbreak on 5 June 1999 was the presence of
persistent mid-level subsidence. The presence of the mid-level subsidence is
identified using a time series of relative vorticity, heights, and isotachs at
the 500 hPa level. This hypothesis will be supported by examination of analyses
fields of the RUC model and satellite data. Soundings will also be provided to
explain the role of moisture advection on the convective environment and to
identify the presence of the subsidence.
a. 500 hPa Analysis
Examination of the 500 hPa analyses
of relative vorticity, heights, and isotachs during the event shows a number of
short-wave disturbances in the vicinity of the main upper trough over the
A cross-section at 1200 UTC 5 June of
vertical motion (w) from
Hill City, KS, (HLC) to Valentine, NE, (VTN) showed that the overall atmospheric
motion from HLC across western
b. RUC analyses
The model analysis fields of the RUC
NCEP model from 1200 and 1800 5 June and 0000 UTC 6 June model were used to
produce an analysis of the 200 to 400 hPa Q-vector field and the 400 to 700 hPa
Q-vector field (Fig. 14). These upper-level
Q-vector analyses were used to resolve the large-scale vertical motion. At 1200
UTC 5 June, forcing for large-scale subsidence can be seen at both 200 to 400
hPa and 400 to 700 hPa across all of the risk area (Figs.
14a and b). This continued through 1800 UTC (Figs.
14c and d). These analyses support the notion that despite good solar
insolation and boundary layer mixing, forcing for large-scale subsidence across
the risk area from 1200 UTC until 1800 UTC 5 June likely inhibited large-scale
upward vertical motion. The lack of forcing for large-scale ascent continued
through the afternoon over a large part of the risk area (Figs. 14e and f). Only areas of far western
c. Role of moisture advection
Although not a direct negative
factor, moisture advection appears to have led to the development of
thunderstorms over parts of the risk area prior to peak heating. The presence
of clouds associated with this moisture advection likely inhibited some of the
surface heating across the eastern high risk area.
High Өe air had been
displaced to the south across
d. Sounding analyses
Due to the anticipated convective
outbreak, special 1800 UTC soundings were taken at locations within the risk
area to provide additional information on the evolution of the convective
environment. The existence of moisture advection is most visible at OAX with
the increase in relative humidity from 850 to 700 hPa (Fig.
17). By 0000 UTC 6 June, the inversion near 800 hPa had been eroded, but a
new inversion had developed between 700 and 600 hPa. Evidence of moisture
increase near the inversion, with significant drying noted just above,
indicates this may be a subsidence inversion and not the elevated mixed layer
(AWS/TR-79/006) as in the 1200 and 1800 UTC soundings. The effect of the
moisture advection is less defined in the
Boundary
layer mixing is most visible on the OAX and TOP soundings, with an increase in
the level of free convection (LFC) from 1200 UTC to 0000 UTC 6 June. Despite
the boundary layer turbulent mixing and moisture advection, the TOP and OAX
soundings remained capped at 0000 UTC. The convective inhibition at LBF was
nearly eroded by 0000 UTC, which allowed for an area of convective initiation
across western
e. Satellite analysis
The
role of large-scale subsidence that appeared to negate widespread convective
initiation on 5 June, is also evident in satellite data. The 3-hourly water
vapor (6.7 µm) imagery from 1515 UTC 5 June through 0015 UTC 6 June is
presented in Figure 20. The two main features
evident are the upper-level cyclone over the central Rocky Mountains and the
anticyclonically curved moisture feed extending from the
In addition to the water vapor
imagery, visible satellite imagery indicated widespread surfaced-based towering
cumulus (TCU) developed across
5. Forecasting the event
The
main factor that likely precluded a significant tornado outbreak was the lack
of large-scale support for vertical motion between short-wave #3 and #4. An
important operational consideration is to determine if this factor could have
been forecast. As discussed in Johns and Doswell (1992), four basic ingredients
are needed for severe storms: sufficient moisture, instability, and lift for
parcels to reach the LFC, and strong vertical wind shear. It has been shown that on 5 June that
sufficient moisture, instability, and favorable vertical shear were present for
severe storms, and the degree of instability and shear suggested that
significant tornadic supercells were possible. Sufficient lift for parcels to
reach the LFC appeared to be the lacking ingredient.
When the model analysis fields of the
NCEP RUC (Fig. 14) model are compared to 1200 UTC 5
June runs of the ETA, AVN, and NGM (operational models), general agreement in
the large-scale pattern is apparent (output fields from the ETA, AVN, and NGM
are not shown as they were similar to those of the RUC). All three models
depicted Q-vector convergence initialization fields similar to those of the
RUC. By 1800 UTC 5 June, the 6-hour forecasts from the operational models
continued to forecast Q-vector divergence between short-waves #3 and #4 across
the risk area. Although the operational models identified forcing for
large-scale subsidence above 600 hPa, the operational numerical forecast model
soundings indicated cooling taking place within the EML around 700 hPa. In Figure 22, the Eta 6-hour forecast soundings for LBF,
Minneapolis, MN (MPX), OAX, and TOP are compared to the observed soundings at
1800 UTC (the Eta was used due to its finer vertical resolution). The largest
difference was at OAX (Fig. 22c) where strong
erosion of the elevated mixed layer was forecast to occur. The same forecast
error could also be seen at LBF, MPX, and TOP, where the EML inversion (800 to
650 hPa) remained stronger than forecast (Figs. 20 b, c,
and d respectively). The model error led to a significant forecast error in
the amount of convective inhibition (CIN) by 1800 UTC 5 June.
By 0000 UTC 6 June, the operational
models remained in general agreement concerning large-scale forcing for
vertical motion. The models forecast that forcing for ascent would move into
western
On
5 June 1999 all three of the operational models produced precipitation across
the eastern half of the risk area between 1800 to 0000 UTC. The development of
model derived precipitation across part of the risk area led to significant
differences in model convective profile and what was taking place in reality.
Baldwin and Kain (2002) identified two cases where the Betts-Miller-Janjic
(BMJ) convective parameterization and, in particular, its shallow convective
scheme (Betts 1986; Betts and Miller 1986; Janjic 1994) led to model forecast
errors of the thermodynamic profile of the lower troposphere. Although it is
possible the shallow convective scheme of the Eta contributed to the forecast error
within its inversion layer, this is not likely the primary reason for the
forecast error since the AVN and NGM do not use the BMJ convective scheme.
We hypothesize that in the case of 5
June 1999 the models correctly forecast the vertical motion associated with
moisture advection. Lift associated with the moisture advection appeared to
moisten and cool the inversion layer in all operational models which led to a
production of precipitation. In reality the moisture advection resulted in
convective initiation over northeast
The degree of error can be seen when
the 700 hPa temperatures from the 1200 UTC 5 June Eta model analysis, 6 hour
forecast, and 12 hour forecast fields are compared to the observed 700 hPa
temperature field (Fig. 24). The 1200 UTC initialization showed good
agreement with observations across the Central Plains, with a 1°C error at MPX,
likely due to ongoing convection, and a 2°C error at Denver, Colorado (DEN) (Fig. 24a). By 1800 UTC, the Eta forecast had cooled the
700 hPa temperatures across the Central Plains, but the observed 1800 UTC
soundings indicate that temperatures remained steady at around +12°C (Fig. 24b). The Eta model was too progressive in
advecting colder air associated with the Rockies upper-level cyclone east into
the western High Plains, with a 1°C error at DEN and a 3°C error at
When comparing the model forecasted
fields to the observed data for 5 June 1999, it appears that while the models
correctly forecast the degree and location upper-level synoptic scale forcing
with reasonable accuracy, significant errors existed in the model forecast
soundings. Differences in the thermodynamic profiles of the atmosphere led to
significant differences in the amount of CIN forecast to be present during the
afternoon hours of 5 June. The differences between model forecasts and
observations illustrate the importance in comparing observational and model
data to identify possible errors that could facilitate diagnosing inhibiting
factors.
6. Conclusion
On
5 June 1999 a significant tornado outbreak was forecast across parts of the
Central and Northern Plains. This study looks at 5 June in order to determine
why a limited, rather than major, tornado outbreak occurred. Using conceptual
models developed for severe weather forecasting, it has been shown that ample
instability, moisture, and vertical wind shear were indeed present for a
significant tornado outbreak. Across a large part of the risk area, however,
synoptic-scale lift was too weak to reduce the capping inversion and create an
environment favorable for surface parcels to reach the LFC. The primary
limiting factor appears to have been a migratory short-wave ridge over the risk
area during peak heating. This synoptic-scale forcing for large-scale
subsidence was visible in water vapor imagery, observational soundings, and
forecast analysis of the RUC model. Subsidence above the EML seemed to have
limited the aerial extent of the severe weather on 5 June. Where severe weather
did develop, some significant, mesoscale influences appear to have overcome the
synoptic-scale forcing for subsidence.
Subjective forecasting of the
inhibiting factors on 5 June appears possible with help of observation data and
synoptic scale forecast guidance of numerical models. The main numerical model
forecast error appears to have developed within the inversion layer due to the
development of precipitation during the afternoon. The production of
precipitation seems to have allowed for alterations in the thermodynamic
profile and a reduction in the amount of forecast CIN. This subsequently
increases the threat of convective initiation despite the synoptic-scale
forcing for subsidence. When utilizing the observed data and RUC analyses, and
comparing this data to the operational Eta, AVN, and NGM, few significant
differences were noted in the upper-level synoptic-scale forcing patterns. All
of the operational forecast models indicated forcing for large-scale subsidence
across the risk area through the day on 5 June. Observational data indicated a
lack of forcing for large-scale vertical ascent between short-wave trough #3
and #4, which counteracted diurnal weakening of the CIN. Only in areas of western
Operational forecasters are strongly
encouraged not to use models to asses the convective environment when the
models have produced convection prior to the time of diagnosis. As seen in the
case of 5 June 1999, using models that have initiated their convective scheme
and produced precipitation to forecast the environment can lead to significant
errors in the thermal and moisture profiles, and lead to errors in forecast
We
have defined a null event as a non-occurrence of any forecast weather
element. As indicated from other
published research on null events, including D02 and RB02, the inhibiting
factor may occur on the synoptic-scale or the mesoscale. It also appears that a
synoptic scale inhibiting factor can either limit the amount of severe weather,
as in the case presented here on 5 June, or eliminate the threat of severe
weather as in RB02 study. Although it has been shown that the forcing for
convective initiation occurs on the mesoscale, as in the D87 study, the
mesoscale forcing can overcome a synoptic environment which does not support
widespread convective initiation, or as in the D02 study, inhibit the expected type
of severe weather. It appears that widespread significant severe weather is
most likely when both the synoptic and mesoscale support significant severe
weather.
In
addition to the identification of a synoptic-scale inhibiting factor that led
to a reduced risk of significant tornadoes, for operational forecasters, there
were clues in both the observed data as well as model data prior to the event
that could have provided valuable lead time to forecast users and can be
applied to future severe weather situations. Potential inhibiting factors
should closely be monitored through the use of detailed subjective analyses,
analyses of observed data, and careful examination of numerical model data. It
is possible that certain inhibiting factors, such as a short-wave ridge or a
local mesoscale effect, are more common to specific regions; local awareness of
mesoscale effects can lead to better convective forecasts.
7. References
Anthony, A. W., P. W. Leftwich Jr., 1992:
Trends in severe local storm watch verification at the
National
Severe
that affect forecast soundings
interpretation. Wea. Forecasting, 17, 1063-1078.
Barnes, S. L., F. Caracena, and A.
Marroquin, 1996: Extracting synoptic-scale diagnostic information from mesoscale models: The Eta
model, gravity waves, and quasigeostrophic diagnostics. Bull. Amer. Meteor.
Soc., 77, 519-528.
Benjamin, Stanley G., G. A. Grell, J. M. Brown, T. G.
Smirnova, R. Bleck, 2004: Mesoscale
weather
prediction with the RUC hybrid isentropic terrain-following coordinate
model.
Mon. Wea. Rev., 132, 473-494.
Betts, A. K., 1986: A new convective
adjustment scheme. Part I: Observational and theoretical
basis.
Quart. J. Roy. Meteor. Soc., 112, 677-691.
______, and M. Miller, 1986: A new
convective adjustment scheme. Part II: Single column
test
using GATE wave, BOMEX and arctic air-mass data set. Quart. J. Roy. Meteor.
Soc.,
112, 693-709.
Bunkers, M. J., B. A. Klimowski, J.
W. Zeitler, R. L. Thompson, M. L. Weisman, 2000:
Predicting
supercell motion using a new hodograph technique. Wea Forecasting, 15.
61-79.
Concannon, P. R., H. E. Brooks, and
C. A. Doswell III, 2000: Climatological risk of strong and
violent
tornadoes in the
Applications,
DesJardins, M. L., K. F. Brill, and
S. S. Schotz, 1991: GEMPAK5 user’s guide. NASA
Technical
Memorandum, 4260 pp. [available from NASA, Code NTT-4, Washington,
DC
20546-0001.]
Doswell, C. A., III, 1987: The
distinction between large-scale and mesoscale contribution to severe
convection: A case study example. Wea. Forecasting, 2, 3-16.
_____, D. V. Baker, and C. A. Liles,
2002: Recognition of negative mesoscale factors for severe-
weather
potential: A case study. Wea. Forecasting, 17, 937-954.
Edwards, R., S. F. Corfidi, R. L.
Thompson, J. S. Evans, J. P. Craven, J. P. Racy, D. W.
McCarthy,
and M. D. Vescio, 2001:
Related
to the 3 May 1999 tornado outbreak. Wea.
Forecasting, 17, 544-588.
Fujita, T. T., 1981: Tornadoes and
downbursts in the contest of generalized planetary scales. J. Atmos. Sci., 38, 1511-1534.
Hart, J. A., and
Service,
Janjic, Z. I., 1994: The
step-mountain eta coordinate model: Further developments of the convection,
viscous sublayer, and turbulence closure schemes. Mon. Wea. Rev., 122,
927-945.
Johns, R. H., and C.A. Doswell III,
1992: Severe local storms forecasting. Wea. Forecasting, 7,
588-612.
McNulty, R. P., 1995: Severe and
convective weather: A central region forecasting challenge. Wea. Forecasting,
10, 187-201.
NCDC, 1999: Storm Data. Vol. 45, No. 6, 386 pp. [Avaliable from National
Climate Data
Center,
Rasmussen, E. N., 2003: Refined
supercell and tornado forecast parameters. Wea. Forecasting,
18, 530-535.
_____, and D. O. Blanchard, 1998: A
baseline climatology of sounding-derived supercell and tornado forecast
parameters. Wea. Forecasting, 13, 1148-1164.
Richter, H., and L. Bosart, 2002: The
suppression of deep moist convection near the
Rogers, E., T. L. Black, D. G.
Deaven, G. J. DiMego, Q. Zhao, M. Baldwin, N. W. Junker, and Y. Lin, 1996:
Changes to the operational “early” Eta analysis/forecast system at the National
Centers for Environmental Prediction. Wea. Forecasting, 11,
391-416.
Stensrud, D. J, R. A. Maddox, 1988:
Opposing mesoscale circulations: A case study. Wea. Forecasting, 3,
189-204.
Thompson, R. L., R. Edwards, and J.
A. Hart, 2002: Evaluation and interpretation of the
supercell
composite and significant tornado parameters at the storm prediction center.
Preprints,
21st Conf. on Severe Local Storms.
Thompson, R.L. and R. Edwards, 2000:
A comparison of rapid update cycle 2 (RUC-2) model soundings with observed soundings in supercell environments.
Preprints, 20th Conf.
Severe Local Storms,
Weldon, R. B., and S. J. Holmes, 1991: Water vapor
imagery interpretation and applications to
weather
analysis and forecasting. NOAA Technical Report NESDIS 57, 85.
[1] Only meteorological data available to operational forecasters on 5 June 1999 was used for the case study. This was done in an attempt to relate this event to operational forecasters, and what information was available during the evolution of the convective environment on 5 June.
[2] Later research by Rasmussen (2003) indicated their findings in 1998 may have more utility in forecasting supercells with large hail than differentiating between tornadic and non-tornadic supercells.