Application of the Artificial Neural Network model for prediction of monthly Standardized Precipitation and Evapotranspiration Index using hydrometeorological parameters and climate indices in eastern Australia

@article{Deo2015ApplicationOT,
  title={Application of the Artificial Neural Network model for prediction of monthly Standardized Precipitation and Evapotranspiration Index using hydrometeorological parameters and climate indices in eastern Australia},
  author={R. Deo and M. Şahin},
  journal={Atmospheric Research},
  year={2015},
  volume={161},
  pages={65-81}
}
  • R. Deo, M. Şahin
  • Published 2015
  • Mathematics
  • Atmospheric Research
  • Abstract The forecasting of drought based on cumulative influence of rainfall, temperature and evaporation is greatly beneficial for mitigating adverse consequences on water-sensitive sectors such as agriculture, ecosystems, wildlife, tourism, recreation, crop health and hydrologic engineering. Predictive models of drought indices help in assessing water scarcity situations, drought identification and severity characterization. In this paper, we tested the feasibility of the Artificial Neural… CONTINUE READING
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