Open AccessTest and analysis of high resolution regional model precipitation forecast based on wavelet
Author(s) -
Hong Gao,
Shuiyong Fan,
Zhaojun Zheng,
H L Zhang
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/351/1/012037
Subject(s) - wavelet , quantitative precipitation forecast , precipitation , scale (ratio) , haar wavelet , computer science , discriminant function analysis , environmental science , wavelet transform , meteorology , mathematics , statistics , artificial intelligence , discrete wavelet transform , geography , cartography
In order to avoid the double punitive disadvantage of traditional test methods, based on the advantages of wavelet in multi-resolution analysisthe precipitation forecast products of RMAPS (Rapid-refresh Multi-scale Analysis and Prediction System) system are tested objectively. In this study, Haar is used as basis function. The test results show that the hourly precipitation forecast error of the 3km discriminant ratio of the forecast system is less than 15% for the precipitation process with the horizontal scale exceeding 94km. As the wavelet analysis scale decreases, the precipitation error gradually increases.