Articles | Volume 24, issue 9
https://doi.org/10.5194/hess-24-4541-2020
https://doi.org/10.5194/hess-24-4541-2020
Research article
 | 
21 Sep 2020
Research article |  | 21 Sep 2020

A universal Standardized Precipitation Index candidate distribution function for observations and simulations

Patrick Pieper, André Düsterhus, and Johanna Baehr

Viewed

Total article views: 2,875 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,947 875 53 2,875 63 60
  • HTML: 1,947
  • PDF: 875
  • XML: 53
  • Total: 2,875
  • BibTeX: 63
  • EndNote: 60
Views and downloads (calculated since 02 Jan 2020)
Cumulative views and downloads (calculated since 02 Jan 2020)

Viewed (geographical distribution)

Total article views: 2,875 (including HTML, PDF, and XML) Thereof 2,556 with geography defined and 319 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Apr 2024
Download
Short summary
The Standardized Precipitation Index (SPI) is a widely accepted drought index. SPI normalizes the precipitation distribution via a probability density function (PDF). However, which PDF properly normalizes SPI is still disputed. We suggest using a previously mostly overlooked PDF, namely the exponentiated Weibull distribution. The proposed PDF ensures the normality of the index. We demonstrate this – for the first time – for all common accumulation periods in both observations and simulations.