Articles | Volume 20, issue 10
https://doi.org/10.5194/hess-20-4177-2016
https://doi.org/10.5194/hess-20-4177-2016
Research article
 | 
17 Oct 2016
Research article |  | 17 Oct 2016

Describing the interannual variability of precipitation with the derived distribution approach: effects of record length and resolution

Claudio I. Meier, Jorge Sebastián Moraga, Geri Pranzini, and Peter Molnar

Viewed

Total article views: 2,776 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,314 1,357 105 2,776 82 108
  • HTML: 1,314
  • PDF: 1,357
  • XML: 105
  • Total: 2,776
  • BibTeX: 82
  • EndNote: 108
Views and downloads (calculated since 15 Dec 2015)
Cumulative views and downloads (calculated since 15 Dec 2015)

Cited

Saved (preprint)

Latest update: 23 Nov 2024
Download
Short summary
We show that the derived distribution approach is able to characterize the interannual variability of precipitation much better than fitting a probabilistic model to annual rainfall totals, as long as continuously gauged data are available. The method is a useful tool for describing temporal changes in the distribution of annual rainfall, as it works for records as short as 5 years, and therefore does not require any stationarity assumption over long periods.