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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15 citations as recorded by crossref.
- Modern anthropogenic drought in Central Brazil unprecedented during last 700 years N. Stríkis et al. 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. 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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- Climate change impact on rain-fed agriculture of Northern Mexico. An analysis based on the CanESM5 model A. Ríos-Romero et al. 10.1007/s40808-024-01959-8
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- SPI and SPEI Drought Assessment and Prediction Using TBATS and ARIMA Models, Jordan N. Hasan et al. 10.3390/w15203598
- Influence of Infiltrations on the Recharge of the Nkoabang Aquifer Located in the Center Region, Cameroon M. Tagne et al. 10.3390/earth4010002
- 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
- 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: 26 Dec 2024
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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