Articles | Volume 16, issue 2
https://doi.org/10.5194/gmd-16-557-2023
https://doi.org/10.5194/gmd-16-557-2023
Model description paper
 | 
25 Jan 2023
Model description paper |  | 25 Jan 2023

stoPET v1.0: a stochastic potential evapotranspiration generator for simulation of climate change impacts

Dagmawi Teklu Asfaw, Michael Bliss Singer, Rafael Rosolem, David MacLeod, Mark Cuthbert, Edisson Quichimbo Miguitama, Manuel F. Rios Gaona, and Katerina Michaelides

Viewed

Total article views: 2,178 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,726 411 41 2,178 236 22 29
  • HTML: 1,726
  • PDF: 411
  • XML: 41
  • Total: 2,178
  • Supplement: 236
  • BibTeX: 22
  • EndNote: 29
Views and downloads (calculated since 11 May 2022)
Cumulative views and downloads (calculated since 11 May 2022)

Viewed (geographical distribution)

Total article views: 2,178 (including HTML, PDF, and XML) Thereof 2,032 with geography defined and 146 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Apr 2024
Download
Short summary
stoPET is a new stochastic potential evapotranspiration (PET) generator for the globe at hourly resolution. Many stochastic weather generators are used to generate stochastic rainfall time series; however, no such model exists for stochastically generating plausible PET time series. As such, stoPET represents a significant methodological advance. stoPET generate many realizations of PET to conduct climate studies related to the water balance, agriculture, water resources, and ecology.