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

Journal metrics

IF value: 5.153
IF5.153
IF 5-year value: 5.460
IF 5-year
5.460
CiteScore value: 7.8
CiteScore
7.8
SNIP value: 1.623
SNIP1.623
IPP value: 4.91
IPP4.91
SJR value: 2.092
SJR2.092
Scimago H <br class='widget-line-break'>index value: 123
Scimago H
index
123
h5-index value: 65
h5-index65
Download
Short summary
In this paper, stochastically generated rainfall and corresponding evapotranspiration time series, generated by means of vine copulas, are used to force a simple conceptual hydrological model. The results obtained are comparable to the modelled discharge using observed forcing data. Yet, uncertainties in the modelled discharge increase with an increasing number of stochastically generated time series used. Still, the developed model has great potential for hydrological impact analysis.
Articles | Volume 22, issue 2
Hydrol. Earth Syst. Sci., 22, 1263–1283, 2018
https://doi.org/10.5194/hess-22-1263-2018
Hydrol. Earth Syst. Sci., 22, 1263–1283, 2018
https://doi.org/10.5194/hess-22-1263-2018

Research article 20 Feb 2018

Research article | 20 Feb 2018

A coupled stochastic rainfall–evapotranspiration model for hydrological impact analysis

Minh Tu Pham et al.

Viewed

Total article views: 1,913 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,107 752 54 1,913 41 54
  • HTML: 1,107
  • PDF: 752
  • XML: 54
  • Total: 1,913
  • BibTeX: 41
  • EndNote: 54
Views and downloads (calculated since 23 May 2017)
Cumulative views and downloads (calculated since 23 May 2017)

Viewed (geographical distribution)

Total article views: 1,849 (including HTML, PDF, and XML) Thereof 1,829 with geography defined and 20 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Jan 2021
Publications Copernicus
Download
Short summary
In this paper, stochastically generated rainfall and corresponding evapotranspiration time series, generated by means of vine copulas, are used to force a simple conceptual hydrological model. The results obtained are comparable to the modelled discharge using observed forcing data. Yet, uncertainties in the modelled discharge increase with an increasing number of stochastically generated time series used. Still, the developed model has great potential for hydrological impact analysis.
Citation