[comp.ai.digest] Response to: AI in weather forecasting

NICK@AI.AI.MIT.EDU (Nick Papadakis) (06/08/88)

Date: Tue, 7 Jun 88 07:55 EDT
From: m06242%mwvm@mitre.arpa
Full-Name: 
Organization: The MITRE Corp., Washington, D.C.
Apparently-To: ailist@ai.ai.mit.edu
Subject: Response to: AI in weather forecasting

 To: AILIST@AI.AI.MIT.EDU
 From: George Swetnam
 Subject: AI in Weather Forecasting
     
 In 1985, The MITRE Corporation and the National Center for Atmospheric
 Research collaborated in an experimental expert system for predicting
 upslope snowstorms in the Denver, Colorado area.  An upslope storm is
 one which gets the necessary atmospheric lifting from translation of a
 moist airmass up a topographic slope.  Upslope storms are responsible
 for roughly 60% of the precipitation in the Denver region; in this case
 the topographic slope is the slow, long rise from the Mississippi River
 to the foot of the Rocky Mountains.
 The most recent published information on this work is the paper whose
 title and abstract appear below.
     
    FIELD TRIAL OF A FORECASTER'S ASSISTANT FOR THE PREDICTION OF
                     UPSLOPE SNOWSTORMS
     
          G. F. Swetnam and E. J. Dombroski, The MITRE Corporation
     
       R. F. Bunting, University Corporation for Atmospheric Research
     
     
   AIAA 25th Aerospace Sciences Meeting, January 12-15, 1987
                   Paper No.  AIAA 87-0029
     
                         ABSTRACT
     
 An experimental expert system has been developed to assist a
 meteorologist in forecasting upslope snowstorms in the Denver, Colorado
 area.  The system requests about 35 data entries in a typical session
 and evaluates the potential for adequate moisture, lifting, and cold
 temperatures.  From these it forecasts the expected snowfall amount.
 The user can trace the reasoning behind the forecast and alter selected
 input data to determine how alternative conditions affect the
 expectation of snow.
     
 Written in Prolog, the system runs on an IBM PC or PC compatible
 microcomputer.  A field trial was held in the winter of 1985-86 to test
 system operation and improve the rule base.  The system performed well,
 but needs further refinement and automatic data collection before it can
 be considered ready for evaluation in an operational context.
     
                         George Swetnam  (gswetnam@mitre)
                         The MITRE Corporation
                         7525 Colshire Drive
                         McLean, VA 22102
     
                         Tel: (703) 883-5845
 *
 *        George
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