Articles | Volume 17, issue 18
https://doi.org/10.5194/gmd-17-7083-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-7083-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
24 Sep 2024
Model description paper |
| 24 Sep 2024
| 24 Sep 2024
PyEt v1.3.1: a Python package for the estimation of potential evapotranspiration
Department of Earth Sciences, NAWI Graz Geocenter, University of Graz, Graz, Austria
Raoul A. Collenteur
Department Water Resources and Drinking Water, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland
Steffen Birk
Department of Earth Sciences, NAWI Graz Geocenter, University of Graz, Graz, Austria
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Cited
17 citations as recorded by crossref.
- An enhanced python framework for hydrological modeling in alpine catchments: Snow hysteresis and glacier ice melt M. Masten et al. https://doi.org/10.1016/j.envsoft.2025.106842
- Identification of extreme socioeconomic droughts considering heavy tailed distribution Z. Zhou et al. https://doi.org/10.1016/j.jhydrol.2026.135867
- Effects of Extreme Drought Years on Radial Growth of Oak and Beech on the Swabian Alb, Germany A. Niessner et al. https://doi.org/10.3390/f17080909
- Climate change has increased crop water consumption in Central Asia despite less water-intensive cropping M. Peña-Guerrero et al. https://doi.org/10.1038/s43247-025-03142-y
- Neglecting plant physiology: systematic overestimation of drought projections L. Villani et al. https://doi.org/10.1088/2752-5295/ae583c
- PI-Advisor: Precision irrigation decision support with farmer-in-the-loop control A. El-Naggar https://doi.org/10.1016/j.softx.2026.103039
- A national-scale database of groundwater level data for Switzerland R. Collenteur et al. https://doi.org/10.1038/s41597-026-07353-6
- High-resolution climate-driven potential evapotranspiration to assess climate change impacts on Mediterranean agriculture A. Fonseca et al. https://doi.org/10.3389/fclim.2026.1854734
- Machine learning-enhanced ecohydrological modelling of monthly-scale oasis dynamics driven by ecological water diversion: A case study of the Qingtu Oasis, China F. Huang et al. https://doi.org/10.1016/j.ecoinf.2026.103808
- AgroEcoMetrics: A Python Toolkit for Modeling and Visualizing Agricultural Microclimates F. Robbins et al. https://doi.org/10.5334/jors.659
- Multi-scenario assessment of climate change impacts on water resources (runoff and recharge) in the periyar river basin and their implications for sustainable water management A. Joseph et al. https://doi.org/10.1016/j.cpas.2026.100007
- OpenIrri: An open-source Python platform for solid-set sprinkler irrigation system design A. El-Naggar https://doi.org/10.1016/j.softx.2026.102912
- Characterization of recharge components for delineation of a high-alpine rock glacier spring catchment, Ötztal Alps (northern Italy) G. Bertolotti et al. https://doi.org/10.1007/s10040-025-03005-y
- Changing Water Resources in the Indus Basin: A Multi‐Model Budyko‐Based Analysis M. Arif et al. https://doi.org/10.1002/joc.70471
- PyEt v1.3.1: a Python package for the estimation of potential evapotranspiration M. Vremec et al. https://doi.org/10.5194/gmd-17-7083-2024
- The future of hot and dry events in the breadbasket regions of maize V. Dietz et al. https://doi.org/10.1088/1748-9326/adda63
- Evapotranspiration Terminology and Definitions . ASCE Environmental and Water Resources Institute, Evapotrans https://doi.org/10.1061/JIDEDH.IRENG-10491
17 citations as recorded by crossref.
- An enhanced python framework for hydrological modeling in alpine catchments: Snow hysteresis and glacier ice melt M. Masten et al. https://doi.org/10.1016/j.envsoft.2025.106842
- Identification of extreme socioeconomic droughts considering heavy tailed distribution Z. Zhou et al. https://doi.org/10.1016/j.jhydrol.2026.135867
- Effects of Extreme Drought Years on Radial Growth of Oak and Beech on the Swabian Alb, Germany A. Niessner et al. https://doi.org/10.3390/f17080909
- Climate change has increased crop water consumption in Central Asia despite less water-intensive cropping M. Peña-Guerrero et al. https://doi.org/10.1038/s43247-025-03142-y
- Neglecting plant physiology: systematic overestimation of drought projections L. Villani et al. https://doi.org/10.1088/2752-5295/ae583c
- PI-Advisor: Precision irrigation decision support with farmer-in-the-loop control A. El-Naggar https://doi.org/10.1016/j.softx.2026.103039
- A national-scale database of groundwater level data for Switzerland R. Collenteur et al. https://doi.org/10.1038/s41597-026-07353-6
- High-resolution climate-driven potential evapotranspiration to assess climate change impacts on Mediterranean agriculture A. Fonseca et al. https://doi.org/10.3389/fclim.2026.1854734
- Machine learning-enhanced ecohydrological modelling of monthly-scale oasis dynamics driven by ecological water diversion: A case study of the Qingtu Oasis, China F. Huang et al. https://doi.org/10.1016/j.ecoinf.2026.103808
- AgroEcoMetrics: A Python Toolkit for Modeling and Visualizing Agricultural Microclimates F. Robbins et al. https://doi.org/10.5334/jors.659
- Multi-scenario assessment of climate change impacts on water resources (runoff and recharge) in the periyar river basin and their implications for sustainable water management A. Joseph et al. https://doi.org/10.1016/j.cpas.2026.100007
- OpenIrri: An open-source Python platform for solid-set sprinkler irrigation system design A. El-Naggar https://doi.org/10.1016/j.softx.2026.102912
- Characterization of recharge components for delineation of a high-alpine rock glacier spring catchment, Ötztal Alps (northern Italy) G. Bertolotti et al. https://doi.org/10.1007/s10040-025-03005-y
- Changing Water Resources in the Indus Basin: A Multi‐Model Budyko‐Based Analysis M. Arif et al. https://doi.org/10.1002/joc.70471
- PyEt v1.3.1: a Python package for the estimation of potential evapotranspiration M. Vremec et al. https://doi.org/10.5194/gmd-17-7083-2024
- The future of hot and dry events in the breadbasket regions of maize V. Dietz et al. https://doi.org/10.1088/1748-9326/adda63
- Evapotranspiration Terminology and Definitions . ASCE Environmental and Water Resources Institute, Evapotrans https://doi.org/10.1061/JIDEDH.IRENG-10491
Saved (final revised paper)
Latest update: 10 Oct 2026
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.
Geoscientists commonly use various potential evapotranpiration (PET) formulas for environmental...
