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 22, issue 12
Hydrol. Earth Syst. Sci., 22, 6591–6609, 2018
https://doi.org/10.5194/hess-22-6591-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Sub-seasonal to seasonal hydrological forecasting

Hydrol. Earth Syst. Sci., 22, 6591–6609, 2018
https://doi.org/10.5194/hess-22-6591-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 21 Dec 2018

Research article | 21 Dec 2018

On the skill of raw and post-processed ensemble seasonal meteorological forecasts in Denmark

Diana Lucatero et al.

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 (review by editor) (18 Dec 2017) by Maria-Helena Ramos
AR by Diana Lucatero on behalf of the Authors (13 Aug 2018)  Author's response    Manuscript
ED: Publish subject to technical corrections (28 Oct 2018) by Maria-Helena Ramos
Publications Copernicus
Download
Short summary
The present study evaluates the skill of a seasonal forecasting system for hydrological relevant variables in Denmark. Linear scaling and quantile mapping were used to correct the forecasts. Uncorrected forecasts tend to be more skillful than climatology, in general, for the first month lead time only. Corrected forecasts show a reduced bias in the mean; are more consistent; and show a level of accuracy that is closer to, although no higher than, that of ensemble climatology, in general.
The present study evaluates the skill of a seasonal forecasting system for hydrological relevant...
Citation