Transformer for EI Niño-Southern Oscillation Prediction

Accurate prediction of EI Niño-southern oscillation (ENSO) is of great significance to seasonal climate forecast. Recently, a convolutional neural network (CNN) has shown an optimal skill for ENSO prediction. However, it is difficult for the convolutional kernel to capture long-range precursors of E...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE geoscience and remote sensing letters 2022, Vol.19, p.1-5
Hauptverfasser:	Ye, Feng, Hu, Jie, Huang, Tian-Qiang, You, Li-Jun, Weng, Bin, Gao, Jian-Yun
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Atmospheric modeling Convolution Convolutional neural network (CNN) deep learning EI Niño southern oscillation (ENSO) El Nino El Nino phenomena El Nino-Southern Oscillation event ENSO transformer (ENSOTR) Feature extraction Indexes Kernel Meteorology Modelling Natural language processing Neural networks Neural stem cells Predictions Predictive models Southern Oscillation Transformers
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!