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

Download

Final revised paper (published on 09 Apr 2019)
Preprint (discussion started on 15 Jun 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

SC1: 'Brief comments on hess-2018-249', Udeni Nawagamuwa, 22 Jun 2018
- AC1: 'Importance of Study to Sri Lanka water resources management', THUSHARA DE SILVA M., 18 Jul 2018
SC2: 'Comments on “Identifying ENSO Influences on Rainfall with Classification Models: Implications for Water Resource Management of Sri Lanka” by Thushara De Silva M., George M. Hornberger:', Xiaoge Zhang, 17 Jul 2018
- AC3: 'Discussion on Comment from X.Zhang', THUSHARA DE SILVA M., 18 Jul 2018
AC2: 'Acknowledgement', THUSHARA DE SILVA M., 18 Jul 2018
SC3: 'Comments on “Identifying ENSO Influences on Rainfall with Classification Models"', Jin-Zhu Yu, 24 Jul 2018
- AC6: 'Response to Reviewer JinZhu Yu', THUSHARA DE SILVA M., 04 Dec 2018
SC4: 'Brief comment', Yaqi Lai, 28 Aug 2018
RC1: 'Identifying ENSO Influences on Rainfall with Classification Models: Implications for Water Resource Management of Sri Lanka', Anonymous Referee #1, 16 Nov 2018
- AC4: 'Response to Reviewer 1', THUSHARA DE SILVA M., 03 Dec 2018
RC2: 'Review', Anonymous Referee #2, 29 Nov 2018
- AC5: 'Response to Reviewer 2', THUSHARA DE SILVA M., 03 Dec 2018
  - AC7: 'Response to Reviewer 2_2', THUSHARA DE SILVA M., 04 Dec 2018

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

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.