刊名 |
Meteorological and Environmental Research |
作者 |
Feifei WU, Xiaoyou LONG, Chuanshi TANG, Landi ZHONG* |
作者单位 |
Nanchang Meteorological Bureau, Nanchang 330038, China |
DOI |
10.19547/j.issn2152-3940.2024.04.009 |
年份 |
2024 |
刊期 |
4 |
页码 |
32-35 |
关键词 |
Kalman filter method; Temperature forecast; Nanchang City |
摘要 |
A temperature forecasting model was created firstly based on the Kalman filter method, and then used to predict the highest and lowest temperature in Nanchang station from October 27 to November 1, 2017. Finally, according to the empirical forecasting method, guidance forecasts were established for the northern, central, and southern parts of Nanchang City. After inspection, it was found that the temperature prediction model established based on the Kalman filter method in Nanchang station had good prediction performance, and especially in the 24-hour forecast, it had advantages over the European Center. The accuracy of low temperature forecast was better than that of high temperature forecast. |