Robust Meteorological Drought Prediction Using Antecedent SST Fluctuations and Machine Learning

@article{Li2021RobustMD,
  title={Robust Meteorological Drought Prediction Using Antecedent SST Fluctuations and Machine Learning},
  author={Jun Li and Zhaoli Wang and Xushu Wu and Chong-yu Xu and Shenglian Guo and Xiaohong Chen and Zhenxing Zhang},
  journal={Water Resources Research},
  year={2021},
  volume={57}
}
While reliable drought prediction is fundamental for drought mitigation and water resources management, it is still a challenge to develop robust drought prediction models due to complex local hydro‐climatic conditions and various predictors. Sea surface temperature (SST) is considered as the fundamental predictor to develop drought prediction models. However, traditional models usually extract SST signals from one or several specific sea zones within a given time span, which limits full use of… 

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