Articles | Volume 14, issue 1
https://doi.org/10.5194/essd-14-163-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-163-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
20 Jan 2022
Data description article |
| 20 Jan 2022
| 20 Jan 2022
Correcting Thornthwaite potential evapotranspiration using a global grid of local coefficients to support temperature-based estimations of reference evapotranspiration and aridity indices
Soil and Water Resources Institute, Hellenic Agricultural Organization – DEMETER, Thessaloniki – Thermi, 57001, Greece
Dimos Touloumidis
Water Resources Section, Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Marie-Claire ten Veldhuis
Water Resources Section, Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Miriam Coenders-Gerrits
Water Resources Section, Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
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- Assessing the efficacy of simplified temperature-based PET models in replicating penman–monteith drought frequency D. Awhari et al. https://doi.org/10.1007/s00704-025-05498-9
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- Super-resolution downscaling of projected future potential evapotranspiration over China F. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.134860
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- SPI and SPEI Drought Assessment and Prediction Using TBATS and ARIMA Models, Jordan N. Hasan et al. https://doi.org/10.3390/w15203598
- Prediction of Potential Evapotranspiration via Machine Learning and Deep Learning for Sustainable Water Management in the Murat River Basin I. Hasan & M. Yuce https://doi.org/10.3390/su162411077
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- Modern anthropogenic drought in Central Brazil unprecedented during last 700 years N. Stríkis et al. https://doi.org/10.1038/s41467-024-45469-8
- Less than 4% of dryland areas are projected to desertify despite increased aridity under climate change X. Zhang et al. https://doi.org/10.1038/s43247-024-01463-y
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Saved (final revised paper)
Latest update: 16 Aug 2026
Short summary
This work provides a global database of correction coefficients for improving the performance of the temperature-based Thornthwaite potential evapotranspiration formula and aridity indices (e.g., UNEP, Thornthwaite) that make use of this formula. The coefficients were produced using as a benchmark the ASCE-standardized reference evapotranspiration formula (formerly FAO-56) that requires temperature, solar radiation, wind speed, and relative humidity data.
This work provides a global database of correction coefficients for improving the performance of...
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