Deep4Cli

Introduction

Solving climate prediction problems based on deep learning methods. Concretely, using the deep learning methods (special networks, like CNN, RNN or ConvLSTM) for climate case predictions and analysis (e.g. ENSO case prediction).

Note: if you need the raw data for experiment, please feel free to contact me kris.dacpc@gmail.com.

Reports (updating)

• 《ENSO Forecasting over Multiple Time Horizons Using ConvLSTM Network and Rolling Mechanism》IJCNN 2019

• Survey of Apply LSTM for Niño Indices (about apply LSTMs and MLPs to Niño Indices and some discoveries.)