Articles | Volume 17, issue 18
https://doi.org/10.5194/gmd-17-7083-2024
https://doi.org/10.5194/gmd-17-7083-2024
Model description paper
 | 
24 Sep 2024
Model description paper |  | 24 Sep 2024

PyEt v1.3.1: a Python package for the estimation of potential evapotranspiration

Matevž Vremec, Raoul A. Collenteur, and Steffen Birk

Viewed

Total article views: 2,900 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,437 323 140 2,900 21 25
  • HTML: 2,437
  • PDF: 323
  • XML: 140
  • Total: 2,900
  • BibTeX: 21
  • EndNote: 25
Views and downloads (calculated since 15 Apr 2024)
Cumulative views and downloads (calculated since 15 Apr 2024)

Viewed (geographical distribution)

Total article views: 2,900 (including HTML, PDF, and XML) Thereof 2,872 with geography defined and 28 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 Nov 2024
Download
Short summary
Geoscientists commonly use various potential evapotranpiration (PET) formulas for environmental studies, which can be prone to errors and sensitive to climate change. PyEt, a tested and open-source Python package, simplifies the application of 20 PET methods for both time series and gridded data, ensuring accurate and consistent PET estimations suitable for a wide range of environmental applications.