Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 2
Articles | Volume 16, issue 2
https://doi.org/10.5194/gmd-16-557-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-557-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 2
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: 3,249 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,432 729 88 3,249 337 107 132
  • HTML: 2,432
  • PDF: 729
  • XML: 88
  • Total: 3,249
  • Supplement: 337
  • BibTeX: 107
  • EndNote: 132
Views and downloads (calculated since 11 May 2022)
Cumulative views and downloads (calculated since 11 May 2022)

Viewed (geographical distribution)

Total article views: 3,249 (including HTML, PDF, and XML) Thereof 3,095 with geography defined and 154 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Nov 2025
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.
Read more
Share