Open AccessResearch on the Application of Radar Echo Model Based on LSTM in Immediate Weather Forecast
Author(s) -
Wanyue Xu
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/734/1/012004
Subject(s) - extrapolation , echo (communications protocol) , radar , similarity (geometry) , computer science , weather radar , term (time) , artificial intelligence , algorithm , meteorology , mathematics , statistics , geography , image (mathematics) , physics , computer network , telecommunications , quantum mechanics
This research analyzed the issue of radar echo extrapolation based on the Long Short-Term Memory (LSTM), established the echo extrapolation algorithm on the basis of the LSTM model, and explored the practical application of this algorithm in the prediction of rainfall volume and in the comprehensive similarity of cloud images. The practiced extrapolation test showed that the average comprehensive similarity of the radar echo extrapolation algorithm based on the LSTM model in the extrapolation within 15 minutes and 20 minutes was 87% and 80% respectively, and the similarity exceeded 70% in the extrapolation test in a relatively longer term. In the rainfall prediction of the next 20 frames of images, this algorithm got an instant hit rate of 64.1%, a false rate of 20.6%, and a key success index of 43.8%. Compared with the traditional radar echo extrapolation algorithm, this echo extrapolation algorithm based on the LSTM model had an excellent application effect in the aspect of weather forecast. The contents of this research can provide scientific and effective reference materials for the subsequent application researches of the technology in weather forecast.