Snow avalanche forecasting by discriminant function analysis | The Meteorological Society of New Zealand

Snow avalanche forecasting by discriminant function analysis

Year: 
1989
Volume: 
9
Issue: 
2
Author(s): 
G. McGregor
Abstract: 

Discriminant function analysis is assessed as a statistical aid to snow avalanche forecasting for the Craigieburn Range, New Zealand. Analysis shows that temperature, precipitation intensity, wind direction change and global radiation are effective in discriminating between sets of dry, wet and non-avalanche days both on calibration and independent test data sets. Discriminant function analysis is suggested as an appropriate objective statistical technique for conventional avalanche forecast verification or modification.

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