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.
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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19 citations as recorded by crossref.
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- Less than 4% of dryland areas are projected to desertify despite increased aridity under climate change X. Zhang et al. 10.1038/s43247-024-01463-y
- Characteristics of Vegetation Photosynthesis under Flash Droughts in the Major Agricultural Areas of Southern China Y. Zhang et al. 10.3390/atmos15080886
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- Investigation of Temperature, Precipitation, Evapotranspiration, and New Thornthwaite Climate Classification in Thailand N. Phumkokrux & P. Trivej 10.3390/atmos15030379
- Assessing the efficacy of simplified temperature-based PET models in replicating penman–monteith drought frequency D. Awhari et al. 10.1007/s00704-025-05498-9
- Age-related patterns and climatic driving factors of drought-induced forest mortality in Northeast China T. Ma et al. 10.1016/j.agrformet.2023.109360
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- Impacts of 1.5 °C and 2 °C global warming on Eucalyptus plantations in South America F. Martins et al. 10.1016/j.scitotenv.2022.153820
- Prediction of Potential Evapotranspiration via Machine Learning and Deep Learning for Sustainable Water Management in the Murat River Basin I. Hasan & M. Yuce 10.3390/su162411077
- Monthly potential evapotranspiration estimated using the Thornthwaite method with gridded climate datasets in Southeastern Brazil C. Santos et al. 10.1007/s00704-024-04847-4
- Amenaza de inundaciones por encharcamiento en la zona de expansión Aranda, Pasto, Nariño J. Rizo Zamora & F. Mafla Chamorro 10.18359/rcin.7192
- Evaluating evapotranspiration models for precise aridity mapping based on UNEP- aridity classification D. Awhari et al. 10.1007/s12145-025-01706-2
- Adapting Housing Design Tools for Indoor Thermal Comfort to Changing Climates E. Hendriks et al. 10.3390/su17062511
- Suitable areas for temperate fruit trees in a Brazilian hotspot area: Changes driven by new IPCC scenarios A. Ribeiro et al. 10.1016/j.eja.2024.127110
2 citations as recorded by crossref.
- How to Measure Evapotranspiration in Landscape-Ecological Studies? Overview of Concepts and Methods T. Pohanková et al. 10.2478/jlecol-2024-0017
- Correcting Thornthwaite potential evapotranspiration using a global grid of local coefficients to support temperature-based estimations of reference evapotranspiration and aridity indices V. Aschonitis et al. 10.5194/essd-14-163-2022
Latest update: 14 Jun 2025
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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