کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
9521563 1634503 2005 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Avalanche activity in an extreme maritime climate: The application of classification trees for forecasting
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات علوم زمین و سیاره ای (عمومی)
پیش نمایش صفحه اول مقاله
Avalanche activity in an extreme maritime climate: The application of classification trees for forecasting
چکیده انگلیسی
Two 10 fold cross validated classification trees were created, and suggested for use in forecasting. The classification tree with highest accuracy of 85% predicted avalanche days less well at 79%. An alternative tree using only wind speed and wind speed and precipitation combined in a temperature sensitive wind drift parameter resulted in a lower overall accuracy of 78%, but permitted a higher rate of correct prediction for avalanche days at 86%. The alternative, more conservative tree also reduced the number of false negative cases (observed as avalanche days, but predicted as non-avalanche days) from 31 to 20 at a cost of increasing the false positive or false alarm rate.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Cold Regions Science and Technology - Volume 43, Issues 1–2, November 2005, Pages 104-116
نویسندگان
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