Ternary Forecast of Heavy Snowfall in the Honam Area, Korea

• Published in: Advances in atmospheric sciences Vol. 26; no. 2; pp. 327 - 332
• Main Authors: Sohn, Keon Tae, Lee, Jeong Hyeong, Cho, Young Seuk
• Format: Journal Article
• Language: English
• Published: Heidelberg SP Science Press 01.03.2009; Springer Nature B.V
• Subjects: Atmospheric models; Atmospheric Sciences; Earth and Environmental Science; Earth Sciences; Geophysics/Geodesy; Logistics; logistic回归模型; Mathematical models; Meteorology; Neural networks; Regression; Regression analysis; Snow; Snowfall; Stations; Statistical models; Statistics; Training; Weather forecasting; 湖南地区; 潜力预测; 神经网络模型; MOS; threshold; multi-grade logistic regression; ternary forecast of heavy snow; neural networks

The objective of this study is to improve the statistical modeling for the ternary forecast of heavy snowfall in the Honam area in Korea. The ternary forecast of heavy snowfall consists of one of three values, 0 for less than 50 mm, 1 for an advisory （50-150 ram）, and 2 for a warning （more than 150...