WW2010
University of Illinois

WW2010
 
welcome
 
online guides
 
archives
 
educational cd-rom
 
current weather
 
about ww2010
 
index

Online Guides
 
introduction
 
meteorology
 
remote sensing
 
reading maps
 
projects, activities

Meteorology
 
introduction
 
air masses, fronts
 
clouds, precipitation
 
el nino
 
forces, winds
 
hurricanes
 
hydrologic cycle
 
light, optics
 
midlatitude cyclones
 
severe storms
 
weather forecasting

Severe Storms
 
introduction
 
dangers of t-storms
 
types of t-storms
 
tstorm components
 
tornadoes
 
modeling

Modeling
 
introduction
 
supercells
 
convective lines
 
forecasting

Forecasting
 
introduction
 
forecast matrix
 
parameters
 
ncsa access article

User Interface
 
graphics
text

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Severe Storms Forecasting
anticipating the danger

Severe storms modelers have performed many simulations over the years with the intention of helping to make more accurate forecasts.

Modelers can alter the environment that a storm starts and evolves in. Changes in storm behavior can then be assessed. An important characteristic of the atmospheric environment is vertical wind shear, a measure of the change in horizontal wind speed and direction with height. Researchers have found that different vertical distributions of wind speed and direction can make the difference between whether a storm becomes a harmless shower or a tornado producing supercell seen below. The time animation was created from a severe storm simulation by creating a "radar" view typical of the ones shown on television.

[Embedded Object: animation (697K)]


The original source of this image is the Cooperative Program for Operational Meteorology, Education and Training (COMET®) of the University Corporation for Atmospheric Research. Copyright © 1996 University Corporation for Atmospheric Research. All Rights Reserved

As a result of all of these studies, the research community has provided forecasters with information on the relationship between the storm environment and the type and behavior of storms that could possibly develop.

In addition, severe storm modelers have begun using high-resolution forecast models to predict severe weather. These models are initialized with a wide variety of observational data that reflect the character of the current atmosphere. Data includes surface and balloon data, aircraft data, and recently Doppler (NEXRAD) radar data. The benefits of this new direction in severe storm forecasting has already been demonstrated. Below is a forecast for the devastating tornadic storm in Oklahoma on May 3rd, 1999. The improvement in predicted storm location using NEXRAD data is seen.

[Image: (57K)]
Image by CAPS



Convective Lines
Terms for using data resources. CD-ROM available.
Credits and Acknowledgments for WW2010.
Department of Atmospheric Sciences (DAS) at
the University of Illinois at Urbana-Champaign.

forecast matrix