기후연구 제14권 제3호 (p.199-208)

순환신경망을 이용한 제주지역 겨울철 저층윈드시어 예측

Prediction of Low-level Wind Shear for the Winter in the Jeju Area using Recurrent Neural Network
키워드 :
ensemble prediction,long short-term memory,low-level wind shear,recurrent neural network,앙상블 예측,장기 단기 메모리,저층윈드시어,순환신경망

목차

Abstract
1. 서론
2. 자료 및 분석 방법
   1) 자료
   2) 분석방법
3. 분석 결과
4. 결론
References

초록

Ensemble verification and prediction of low-level wind shear (LLWS) are an important matter for airplane landing and management. In this study, we compared the prediction performance of LLWS forecasts of ensemble mean, multiple regression model and long short-term memory (LSTM), which belong to the family of recurrent neural network based on the grid points over the Jeju area. The prediction skills of methods were compared by mean absolute error. We found that the prediction skills of forecasts of LSTM were better than the bias-corrected forecasts in terms of deterministic prediction.