Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2020.104928 |
An improved forecast of precipitation type using correlation-based feature selection and multinomial logistic regression | |
Moon, Seung-Hyun1; Kim, Yong-Hyuk2 | |
2020-08-01 | |
发表期刊 | ATMOSPHERIC RESEARCH
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ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2020 |
卷号 | 240 |
文章类型 | Article |
语种 | 英语 |
国家 | South Korea |
英文摘要 | Accurate prediction of precipitation type is an important part of weather forecasting. But using meteorological insight to make such predictions from a small set of weather variables achieves only limited success. We use correlation-based feature selection to assemble an effective subset of the large number of weather variables available in short-range weather forecasts, and from these we obtain the coefficients for multinomial regression, which can then be used to predict precipitation type. We applied this approach to data for significant locations in South Korea, obtained from the European Centre for Medium-Range Weather Forecasts and from the Regional Data Assimilation and Prediction System, and achieved predictions which are respectively 15% and 13% more accurate than those contained in the original forecasts. |
英文关键词 | Precipitation type Precipitation phase Multinomial logistic regression Correlation-based feature selection |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000527314900008 |
WOS关键词 | RIVER-BASIN ; MUTUAL INFORMATION ; PHASE ; SCHEME ; DISCRIMINATION ; CLASSIFICATION ; VALIDATION ; THICKNESS ; RAIN |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/289303 |
专题 | 地球科学 |
作者单位 | 1.Seoul Natl Univ, Dept Comp Sci & Engn, 1 Gwanak Ro, Seoul 08826, South Korea; 2.Kwangwoon Univ, Sch Software, 20 Kwangwoon Ro, Seoul 01897, South Korea |
推荐引用方式 GB/T 7714 | Moon, Seung-Hyun,Kim, Yong-Hyuk. An improved forecast of precipitation type using correlation-based feature selection and multinomial logistic regression[J]. ATMOSPHERIC RESEARCH,2020,240. |
APA | Moon, Seung-Hyun,&Kim, Yong-Hyuk.(2020).An improved forecast of precipitation type using correlation-based feature selection and multinomial logistic regression.ATMOSPHERIC RESEARCH,240. |
MLA | Moon, Seung-Hyun,et al."An improved forecast of precipitation type using correlation-based feature selection and multinomial logistic regression".ATMOSPHERIC RESEARCH 240(2020). |
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