Drought forecasting using artificial neural networks and time series of drought indices

@inproceedings{Morid2007DroughtFU,
  title={Drought forecasting using artificial neural networks and time series of drought indices},
  author={Saeid Morid and V. U. Smakhtin and Karim Bagherzadeh},
  year={2007}
}
Drought forecasting is a critical component of drought risk management. The paper describes an approach to drought forecasting, which makes use of Artificial Neural Network (ANN) and predicts quantitative values of drought indices—continuous functions of rainfall which measure the degree of dryness of any time period. The indices used are the Effective Drought Index (EDI) and the Standard Precipitation Index (SPI). The forecasts are attempted using different combinations of past rainfall, the… CONTINUE READING

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