Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.936 IF 4.936
  • IF 5-year value: 5.615 IF 5-year
    5.615
  • CiteScore value: 4.94 CiteScore
    4.94
  • SNIP value: 1.612 SNIP 1.612
  • IPP value: 4.70 IPP 4.70
  • SJR value: 2.134 SJR 2.134
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 107 Scimago H
    index 107
  • h5-index value: 63 h5-index 63
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
Download
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
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 Lorena Grabowski on behalf of the Authors (26 Feb 2019)  Author's response
ED: Publish as is (21 Mar 2019) by Wouter Buytaert
Publications Copernicus
Download
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...
Citation