Lecture #10: 
Atmospheric Stability (Continued) and its Applications;
Thunderstorm Development
Friday, 9 February 2001

 

Text Reading for Lecture #9
Atmospheric Stability (Read pages 160-175)
Cloud Development (Read pages 167-173)


Weather last night

wpe46.jpg (51703 bytes)

OU Forecast model (coarse resolution)

wpe47.jpg (56177 bytes)

OU Forecast model (finer resolution)

wpe48.jpg (54019 bytes)


Review from last time:

wpe4B.jpg (35767 bytes)  Stable Atmosphere -- Parcel is unsaturated
and always colder than the environment.

How does the situation change if the parcel is
saturated?

wpe40.jpg (50774 bytes) Stable Atmosphere - Parcel is saturated and
always colder than the environment.

Let's now consider the opposite extreme, that is,
the rising parcel is everywhere WARMER than
the environment.  Such an environment is said
to be ABSOLUTELY UNSTABLE, because
whether saturated or not, the rising parcel always
will be warmer than its environment.

wpe43.jpg (45357 bytes)  Unstable Atmosphere -- Parcel is unsaturated
and always warmer than the environment.

 wpe44.jpg (44511 bytes) Unstable Atmosphere -- Parcel is saturated
and always warmer than the environment.

In most cases, especially during the thunderstorm
season, the atmosphere is CONDITIONALLY
UNSTABLE, the condition being whether the
rising air is saturated or unsaturated. 

wpe45.jpg (69538 bytes)

OKC Sounding at 10 pm last night - instability?

wpe49.jpg (93177 bytes)

Sample Stability Problem

   T (deg C)       Height (km)
   ------------        ----------------

       34                        0
       31                        1
       28                        2
       21                        3
       10                        4
        2                         5
      -15                        6
      -15                        7
      -10                        8
        -6                        9
        -6                      10

wpe4A.jpg (30315 bytes)  Plotted "sounding data" from above

wpe4F.jpg (35626 bytes)   Dry adiabatic lapse rate;  parcel
starting temperature same as environment.

wpe4E.jpg (35426 bytes) Dry adiabatic lapse rate;  parcel
starting temperature warmer than environment.

wpe50.jpg (34768 bytes) Dry adiabatic lapse rate;  parcel
starting temperature much warmer than
environment.

wpe51.jpg (39281 bytes)   Parcel now becomes saturated and,
thereafter, cools at the moist adiabatic lapse rate.

wpe52.jpg (40266 bytes) Note cloud base (condensation level)
and cloud top (region where parcel is no longer
warmer than the environment).  This is how
forecasters determine the anticipated maximum
vertical extent of thunderstorms.

wpe53.jpg (108176 bytes)

wpe54.jpg (52673 bytes) The difference in temperature between
the rising parcel and the environment, added for each
level where the parcel is WARMER than the
enviornment, produces an area that is proportional
to the amount of energy available to the thunderstorm
updraft.  This is called the Convective Available
Potential Energy (CAPE), and the bigger the area,
the stronger the updraft. 

wpe55.jpg (101747 bytes)  A real thermodynamic diagram, shown
here, is used by forecasters to assess storm potential.
It is basically the same as the schematic shown above.

 

CLOUD AND THUNDERSTORM
DEVELOPMENT

Mechanisms of cloud formation:

wpe56.jpg (151919 bytes)

wpe57.jpg (98376 bytes)  Note how the clouds form from discrete
"parcels" or thermals of air rising.  This is why cumulus
clouds grow in "spurts".

wpe58.jpg (84590 bytes)

For an atlas of clouds, click HERE.

wpe59.jpg (29599 bytes) Orographic uplift and rain shadowing.

Consider the early stages of thunderstorm development
and how the environment changes with time:

wpe5A.jpg (24448 bytes)  wpe5B.jpg (22747 bytes)  wpe5C.jpg (22400 bytes)