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

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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.