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Record #107029:

Objective guidance for 1- and 2-day mesoscale forecasts of lake-effect snow / W.A. Burrows.

Title: Objective guidance for 1- and 2-day mesoscale forecasts of lake-effect snow / W.A. Burrows.
Author(s): Burrows, W. A.
Date: 1990.
In: Eastern Snow Conference. Proceedings. (1990.), Vol. 47th Annual Meeting (1990)
Abstract: Lake-effect--snow-possible days were identified for each of 29 climatological stations in lee of Lake Huron and Georgian Bay for November-April winters of 1984-88, using output from 0-24 h and 24-48 h forecasts. Results suggest lake-effect snow occurrence and amounts are likely to be over-forecast for even relatively small public forecast areas. Recent non-parametric classification procedure, known as classification and regression trees, was used to classify categorical snowfalls by predictor threshold values in decision trees and showed promise for timely many-site production of objective operational mesoscale guidance for 1- and 2-day forecasts of 24 h lake-effect snow accumulation.
Notes:

Eastern Snow Conference. Proceedings. Vol. 47th Annual Meeting :121-134 (1990).

CRREL Special Report 90-44.

Keywords: 551.32 -- Glaciology.
551.578.45 -- Snow storms.
551.578.4 -- Ice needles, sleet, falling snow and graupel.
551.509.3 -- Weather forecasting, bases and methods.
E9 -- Glaciology: meteorology and climatology.
(*40) -- North American Arctic.
SPRI record no.: 107029

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245 10 ‡aObjective guidance for 1- and 2-day mesoscale forecasts of lake-effect snow /‡cW.A. Burrows.
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500 ## ‡aEastern Snow Conference. Proceedings. Vol. 47th Annual Meeting :121-134 (1990).
500 ## ‡aCRREL Special Report 90-44.
520 3# ‡aLake-effect--snow-possible days were identified for each of 29 climatological stations in lee of Lake Huron and Georgian Bay for November-April winters of 1984-88, using output from 0-24 h and 24-48 h forecasts. Results suggest lake-effect snow occurrence and amounts are likely to be over-forecast for even relatively small public forecast areas. Recent non-parametric classification procedure, known as classification and regression trees, was used to classify categorical snowfalls by predictor threshold values in decision trees and showed promise for timely many-site production of objective operational mesoscale guidance for 1- and 2-day forecasts of 24 h lake-effect snow accumulation.
650 07 ‡a551.32 -- Glaciology.‡2udc
650 07 ‡a551.578.45 -- Snow storms.‡2udc
650 07 ‡a551.578.4 -- Ice needles, sleet, falling snow and graupel.‡2udc
650 07 ‡a551.509.3 -- Weather forecasting, bases and methods.‡2udc
650 07 ‡aE9 -- Glaciology: meteorology and climatology.‡2local
651 #7 ‡a(*40) -- North American Arctic.‡2udc
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