Bin Mu

ENSO-ASC 1.0.0: ENSO deep learning forecast model with a multivariate air–sea coupler

Bin Mu, Bo Qin, Shijin Yuan · Geoscientific model development · 2021 · 62 citations · Full text

Forecasting Methodology, Engineering, Machine Learning +19

Typhoon Intensity Forecasting Based on LSTM Using the Rolling Forecast Method

Shijin Yuan, Cheng Wang, Bin Mu et al. · Algorithms · 2021 · 49 citations · Full text

Storm Surge, Forecasting Methodology, Engineering +17

Prediction of North Atlantic Oscillation Index with Convolutional LSTM Based on Ensemble Empirical Mode Decomposition

Shijin Yuan, Xiaodan Luo, Bin Mu et al. · Atmosphere · 2019 · 31 citations · Full text

Convolutional Lstm, Engineering, Machine Learning +19

Simulation, precursor analysis and targeted observation sensitive area identification for two types of ENSO using ENSO-MC v1.0

Bin Mu, Yuehan Cui, Shijin Yuan et al. · Geoscientific model development · 2022 · 14 citations · Full text

Climatology, Saliency Map Method, Enso-mc V1.0 +15

Toward a Learnable Climate Model in the Artificial Intelligence Era

Gang Huang, Ya Wang, Yoo‐Geun Ham et al. · Advances in Atmospheric Sciences · 2024 · 12 citations