Articles | Volume 22, issue 1
https://doi.org/10.5194/hess-22-287-2018
https://doi.org/10.5194/hess-22-287-2018
Research article
 | 
15 Jan 2018
Research article |  | 15 Jan 2018

Regression-based season-ahead drought prediction for southern Peru conditioned on large-scale climate variables

Eric Mortensen, Shu Wu, Michael Notaro, Stephen Vavrus, Rob Montgomery, José De Piérola, Carlos Sánchez, and Paul Block

Viewed

Total article views: 3,739 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,160 1,489 90 3,739 62 88
  • HTML: 2,160
  • PDF: 1,489
  • XML: 90
  • Total: 3,739
  • BibTeX: 62
  • EndNote: 88
Views and downloads (calculated since 28 Apr 2017)
Cumulative views and downloads (calculated since 28 Apr 2017)

Viewed (geographical distribution)

Total article views: 3,739 (including HTML, PDF, and XML) Thereof 3,608 with geography defined and 131 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Apr 2024
Download
Short summary
Some do not realize the intrinsic importance of water until there is no water left. This is the reality faced by people in southern Peru, a dry area of the world where several economic activities and cities vie for scarce water resources. With the developed season-ahead precipitation prediction model, stakeholders and decision makers in this region will have another tool in their belt to respond to and plan for the negative impacts brought on by drought.