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Published byMichael Stevenson Modified over 9 years ago
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Use of Probablistic Weather Forecasts by Utilities AMS - “Enhancing Weather Information with Probability Forecasts” January 2002
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Forecasting with Probability Factors 1960’s Utilities - Storm Warnings
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Probability Forecasting Time of Beginning of Precipitation Time Probability Block Combinations 1-3 PM 40% 30% 20% 10% 3-5 PM 60% 70% 80% 90% 100% Start Time 3-4 3-4 4pm 4pm 4pm
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Probability Forecasting Time of Beginning of Precipitation Time Probability Block Combinations 1-3 PM 60% 70% 80% 90% 100% 3-5 PM 40% 30% 20% 10% Start Time 2-3 2-3 2pm 2pm 2pm
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Probability Forecasting Duration of Precipitation Duration Probability Combinations 3-6 Hr 60% 70% 80% 90% 100% 6-12 Hr 40% 30% 20% 10% Avg 5-6 4-5 4-5 4-5 4-5 Max 12 hr 12 hr 10 hr 8 hr 6 hr
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Probability Forecasting Duration of Precipitation Duration Probability Combinations 3-6 Hr 40% 30% 20% 10% 6-12 Hr 60% 70% 80% 90% 100% Avg 6-7 7-8 8-10 8-10 8-10 Max 12 hr 12 hr 12 hr 12 hr 12 hr
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Probability Forecasting Operational Color Code Condition Green Condition Yellow Condition Red Condition Black
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Probability Forecasting Operational Color Code Condition Green - No Trouble Expected Condition Yellow - Little or Limited Effect
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Probability Forecasting Operational Color Code Condition Red - Significant Trouble Condition Black - Major Storm
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Probability Forecasting Operational Color Code G6Y4 Green 60%, Yellow 40% Borderline Situation No Trouble Expected
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Probability Forecasting Operational Color Code Y6G4 Yellow 60%, Green 40% Borderline Situation Localized Problems Possible
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Probability Forecasting Operational Color Code Y7G3 through Y10 Increasing Forecaster Confidence of Localized Problems
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Probability Forecasting Operational Color Code Y9R1 through Y6R4 100% Chance of Some Trouble
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Probability Forecasting Operational Color Code R7Y3 through R10 100% Chance of Trouble Increasing Confidence in Significant Trouble
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Probability Forecasting Operational Color Code R6B4 through B10 Major Trouble with Increasing Forecaster Confidence
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Probability Forecasting Education Forecaster Education Client Education
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Probability Forecasting Example 1 Snow and Ice Warning Village of Winnetka March 1950
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Probability Forecasting Example 2 Snow and Ice Warning City of Chicago January 1, 1999
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Probability Forecasting Example 3 Severe Storm Warning
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Probability Forecasting Example 4 Severe Storm Warning Red 7, Black 3
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Probability Forecasting Conclusion Educate Forecasters Educate Clients and Potential Clients Increase Utilization
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