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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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HESS | Articles | Volume 23, issue 4
Hydrol. Earth Syst. Sci., 23, 1905–1929, 2019
https://doi.org/10.5194/hess-23-1905-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 23, 1905–1929, 2019
https://doi.org/10.5194/hess-23-1905-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 09 Apr 2019

Research article | 09 Apr 2019

Identifying El Niño–Southern Oscillation influences on rainfall with classification models: implications for water resource management of Sri Lanka

Thushara De Silva M. and George M. Hornberger
Data sets

Rainfall_Season_Classification T. De Silva M. https://github.com/thusharadesilva/Rainfall_Season_Classification.git

Publications Copernicus
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Short summary
Season-ahead rainfall forecast is very important for water resource management. Classification methods are used to identify the extreme rainfall classes dry and wet using climate teleconnections. These models can be used for river basin areal rainfall forecast and water resources and power generation planning for climate uncertainty. Water resource management decisions are informed by forecasts of El Niño–Southern Oscillation and Indian Ocean Dipole phenomena.
Season-ahead rainfall forecast is very important for water resource management. Classification...
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