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  "title": "Deep Learning: Predict El Niño\u2013southern oscillation",
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  "description": "ENSO can have tremendous potential impact such as droughts, floods, and tropical storms. Accurate characterization of ENSO is critical for understanding the trends. In climate science, ENSO is characterized through Southern Oscillation Index (SOI), a standardized index based on the observed sea level pressure differences between Tahiti and Darwin, Australia. Predicting SOI is the first step of ENSO forecasting which this notebook attempts to do using time series analysis using a LSTM model.",
  "tags": [
    "LSTM",
    "ENSO",
    "weather",
    "climate",
    "prediction",
    "deep learning",
    "keras",
    "time series",
    "El Niño",
    "SOI"
  ],
  "snippet": "This example uses correlation analysis and time series analysis to predict El Niño\u2013Southern Oscillation (ENSO) based on climate variables and indices.",
  "thumbnail": "thumbnail/forecasting-enso.png",
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