Articles | Volume 23, issue 4
https://doi.org/10.5194/hess-23-1905-2019
https://doi.org/10.5194/hess-23-1905-2019
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

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (14 Jan 2019) by Wouter Buytaert
AR by THUSHARA DE SILVA M. on behalf of the Authors (23 Jan 2019)  Author's response 
ED: Publish subject to minor revisions (review by editor) (18 Feb 2019) by Wouter Buytaert
AR by THUSHARA DE SILVA M. on behalf of the Authors (25 Feb 2019)  Manuscript 
ED: Publish as is (21 Mar 2019) by Wouter Buytaert
AR by THUSHARA DE SILVA M. on behalf of the Authors (28 Mar 2019)  Manuscript 
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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.