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: 4.256 IF 4.256
  • IF 5-year value: 4.819 IF 5-year
    4.819
  • CiteScore value: 4.10 CiteScore
    4.10
  • SNIP value: 1.412 SNIP 1.412
  • IPP value: 3.97 IPP 3.97
  • SJR value: 2.023 SJR 2.023
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 99 Scimago H
    index 99
  • h5-index value: 58 h5-index 58
HESS | Articles | Volume 22, issue 10
Hydrol. Earth Syst. Sci., 22, 5125-5141, 2018
https://doi.org/10.5194/hess-22-5125-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 22, 5125-5141, 2018
https://doi.org/10.5194/hess-22-5125-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 04 Oct 2018

Research article | 04 Oct 2018

Season-ahead forecasting of water storage and irrigation requirements – an application to the southwest monsoon in India

Arun Ravindranath et al.
Viewed  
Total article views: 1,081 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
791 279 11 1,081 17 16
  • HTML: 791
  • PDF: 279
  • XML: 11
  • Total: 1,081
  • BibTeX: 17
  • EndNote: 16
Views and downloads (calculated since 27 Apr 2018)
Cumulative views and downloads (calculated since 27 Apr 2018)
Viewed (geographical distribution)  
Total article views: 1,061 (including HTML, PDF, and XML) Thereof 1,054 with geography defined and 7 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
No saved metrics found.
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
No discussed metrics found.
Latest update: 18 Jun 2019
Publications Copernicus
Download
Short summary
We present a framework for forecasting water storage requirements in the agricultural sector and an application of this framework to water risk assessment in India. Our framework involves defining a crop-specific water stress index and applying a particular statistical forecasting model to predict seasonal water stress for the crop of interest. The application focused on forecasting crop water stress for potatoes grown during the monsoon season in the Satara district of Maharashtra.
We present a framework for forecasting water storage requirements in the agricultural sector and...
Citation