Use of low-level lapse rates in
forecasting convective initiation
Convective initiation continues
to be one of the most difficult forecast challenges
in forecasting severe local storms. "Will the cap break this afternoon? And if
so, when and where?" This is a question that all convective
forecasters face on a routine basis during the warm season. An
old, and popular convective parameter that the former AFOS ADAP
short-fuse
composite used was the "cap" parameter. This is a calculation
that uses parcel theory to come up with the greatest temperature
difference in the lower troposphere between the environment and the
lifted parcel... when the lifted parcel is cooler
than ambient
conditions. The greater this temperature difference, the stronger
the inhibition to deep, moist convection (DMC). A "cap" so
derived, however, ignores several important physical characteristics of
the atmosphere such as the relative depth and horizontal displacement
of the elevated mixed layer which "is" the cap.
As computer algorithms became more sophisticated with a myriad of
parcel theory-based parameters being computed, Convective
Inhibition (CIN) grew in popularity among convective
forecasters/nowcasters. CIN is the integrated calculation of the
temperature difference between a lifted parcel and its
environment. It is the same calculation as CAPE, only for
negative energy (lifted parcel cooler than ambient conditions). Both
represent the area under a curve on a thermodynamic diagram and
quanitify the entire positive or negative bouyant energy distribution
in the vertical.
Parcel theory has its limitations. This is especially so when
dealing with the convective initiation problem. How big (or
small?) is a theoretical bubble of air supposed to be (and, in fact, is
it a bubble at all!), such that it can
be lifted to its LFC and continue to grow to become a
thunderstorm? The moisture and thermal properties of the
convective boundary layer obviously can not be assumed by observations
from a
fixed station 2 meters off the ground. Large assumptions are made
in determining a mixed-layer parcel for lifting, not the least of which
is horizontal and vertical temperature and moisture distribution.
Given the lack
of observations above 2 meters AGL on an hourly basis, we mix
observational data with model information to determine a 50mb, 100mb,
or 150mb mean mixing ratio and potential temperature to lift.
There are gross uncertanties in doing this; uncertainties that grow in
magnitude when you begin calculating integrations from such an assumed
lifted parcel (CAPE, CIN, etc).
The CIN calculation, using parcel theory, can be a great tool in
assessing the amount of energy needed to be overcome through forced
ascent (synoptic scale ascent, boundary layer convergence, orographic
lift, or all of the above). The observational network, however,
does not currently exist to compute reliable values of CIN, and even
the latest high resolution modeling efforts struggle with boundary
layer thermodynamics.
Given these uncertainties in the calculation of CIN using parcel
theory, and the poor performance of CIN as an indicator for potential
DMC initiation in recent events around Southwest Kansas, we are
investigating other potential tools for this problem. Recent
research work
by Jon Davies has shown
that lower tropospheric static stability can be a very useful tool in
diagnosing environments suitable for tornadogenesis through enhanced
updraft stretching. The same environmental static stability
through a 2 or 3km AGL depth can be a very important signal for the
initiation of such storms. To get
surface-based DMC initiation, you need a source of lower tropospheric
lift (enhanced mass convergence or mechanical lift), a
thermodynamically unstable
atmosphere, and adequate low level moisture. A lower tropospheric
atmosphere with low static stability is more vulnerable to convective
initiation given sustained, sufficient lift... versus an enviornment
with higher static stability.
Given this basic physical reasoning, we are experimenting with the
0-2.5km AGL lapse rate parameter computed from the AWIPS Local
Analysis & Prediction System (LAPS) hourly analysis. We display
this parameter in plan view and highlight areas of lower static
stability in the crucial layers of
the
lower atmosphere for convective initiation. In this way, we attempt to
use this parameter as a proxy for CIN but in an easier to read
presentation more like the old CAP parameter from the AFOS ADAP and
without as many of the problems encountered with CIN or CAP.
Examples follow herewith:
Case
Example: 20 June 2005 (Northeastern Colorado)
Final note:
As of the time of this writing (6/20/2005), the usage
of 0-2.5km AGL lapse rate as a forecast tool, in combination with Chart
#1, is very experimental. The physical reasoning, however, is
basic and meteorologically sound in identifying regions more
susceptible to convective initiation, versus using parcel theory and
its inherent limitations and subsequent analysis errors as mentioned
above. Furthermore, we will test to see if hour to hour continuity of
this parameter allows for the short range spatial and temporal
prediction of initial DMC.
We hope to find that our skill in forecasting convective initiation
will improve using low level lapse rates with moisture convergence and
instability (CAPE/Theta-E) versus using the CIN analysis.
written by Mike Umscheid, NWS-DDC
with review by Jim Johnson, NWS-DDC





