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

De Silva M., Thushara; Hornberger, George M.

doi:https://doi.org/10.5194/hess-23-1905-2019

Articles | Volume 23, issue 4

https://doi.org/10.5194/hess-23-1905-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-23-1905-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 4

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

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.