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The Wind Index (WI) shows the highest wind gusts (knots) possible if showers or thunderstorms were to occur. WI uses the change in temperature with height (lapse rate), the height of the melting level, and the moisture (specific humidity) at the melting level and near the surface, all obtained from the GOES sounder. Wind Index validation vs radisonde data and Wind Index validation statistics are now available.
The Dry
Microburst Index (DMI) and GOES Imager Microburst Product indicate the presence of conditions favorable
for low precipitation microbursts that often occur in
the western
The Wet
Microburst Severity Index (WMSI) accounts for the physical
processes of convective storm development and downburst generation. The WMSI
incorporates such parameters as
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If you are interested in obtaining an operational version of the GOES Microburst Products with 24 X 7 support, please submit an official request via the NOAA User Request and Tracker System.
Related
Sounding Products from OPDB
Technical Reports/Scholarly
Papers
· Microburst Nowcasting Applications of GOES. NOAA Technical Report NESDIS 140.
More Information on Microburst Products
Experimental Microburst
Products from the GOES Sounders are available about 1 hour after the start time
of the sounder scan. For example, the 12Z GOES-12 WIND INDEX image (based on
the 1146Z retrievals) would be available by 1245Z. Subtract 5 hours to convert
to Eastern Standard Time (EST), 8 hours for Pacific Standard Time (PST).
Sounding retrievals are
computed using radiance data obtained in single pixel areas (10 km x 10 km) for
each of 18 GOES sounder bands. Each band is sensitive to radiance received from
a particular layer of the troposphere. Radiative
transfer equations are iteratively solved, using the NCEP Aviation (AVN) model
as a first guess, to determine the vertical temperature/moisture profile.
For
more information on the microburst products from the GOES sounders, see Ellrod and Nelson, 1998. Also available are more complete
descriptions of the microburst products:
· Ellrod, Nelson, Roeder, Witiw and Bottos, published in
the AMS journal Weather
and Forecasting, Volume 15, October, 2000.
· Pryor,
Ellrod and Bailey, published in the National
Weather Association Electronic
Journal of Operational Meteorology in April, 2002.
· Pryor,
Ellrod and Bailey, published in the National
Weather Association Electronic
Journal of Operational Meteorology in May, 2003.
· Pryor
and Ellrod, published in the National Weather
Association Electronic
Journal of Operational Meteorology in March, 2004.
· Pryor and Ellrod,
published in the AMS journal Weather
and Forecasting, Volume 19, June, 2004.
· Pryor and Ellrod,
published in the preprints of the AMS
21st Conference on Weather Analysis and Forecasting, August, 2005.
· Pryor, published in the preprints of the AMS
14th Conference on Satellite Meteorology and Oceanography, January, 2006.
· Pryor, published in the preprints of the AMS
23rd Conference on Severe Local Storms,
November, 2006.
· Pryor, published in the preprints of the AMS
5th GOES Users' Conference,
January, 2008.
· Pryor, published in the preprints of the AMS
17th Conference on Satellite Meteorology and Oceanography,
September, 2010.
· Pryor, published in the preprints of the AMS
18th Conference on Satellite Meteorology, Oceanography and Climatology,
January, 2012.
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