Articles | Volume 27, issue 9
https://doi.org/10.5194/hess-27-1929-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-1929-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 May 2023
Research article |
| 17 May 2023
| 17 May 2023
Revisiting the hydrological basis of the Budyko framework with the principle of hydrologically similar groups
Yuchan Chen
Guangdong Province Data Center of Terrestrial and Marine Ecosystems
Carbon Cycle, Guangdong Province Key Laboratory for Climate Change and
Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen
University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
Xiuzhi Chen
CORRESPONDING AUTHOR
Guangdong Province Data Center of Terrestrial and Marine Ecosystems
Carbon Cycle, Guangdong Province Key Laboratory for Climate Change and
Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen
University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
Meimei Xue
Guangdong Province Data Center of Terrestrial and Marine Ecosystems
Carbon Cycle, Guangdong Province Key Laboratory for Climate Change and
Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen
University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
Chuanxun Yang
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences,
Guangzhou, 510640, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
Wei Zheng
Guangdong Province Data Center of Terrestrial and Marine Ecosystems
Carbon Cycle, Guangdong Province Key Laboratory for Climate Change and
Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen
University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
Jun Cao
Institute of Ecological Civilization and Green Development, Guangdong Provincial Academy of Environmental Science, Guangzhou, 510635, China
Wenting Yan
Guangdong Province Data Center of Terrestrial and Marine Ecosystems
Carbon Cycle, Guangdong Province Key Laboratory for Climate Change and
Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen
University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
Wenping Yuan
Guangdong Province Data Center of Terrestrial and Marine Ecosystems
Carbon Cycle, Guangdong Province Key Laboratory for Climate Change and
Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen
University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
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Cited
14 citations as recorded by crossref.
- A macroscale evapotranspiration benchmark based on spatial and temporal enhancements to the Budyko framework L. Zhang et al.
- Improving annual streamflow estimates using Budyko parameterization driven by catchment attributes H. Tamiru et al.
- Partitioning Green and Blue Evapotranspiration by Improving Budyko Equation Using Remote Sensing Observations in an Arid/Semi-Arid Inland River Basin in China D. Zhou et al.
- Interpretation of the Budyko framework for monthly evapotranspiration prediction of individual basins H. Sun et al.
- Exploring the aridity risk in agricultural lands of southwest Spain: the Extremadura region J. Lozano-Parra
- Quantified groundwater–surface water dynamics across Tigris–Euphrates basin through integrated modelling Q. Alkhawlani et al.
- Attribution of runoff and sediment changes in the Wuding River Basin based on the Budyko-Kaya framework M. Zhang et al.
- Improving evapotranspiration estimation models through quantitative watershed parameter analysis and remote sensing applications M. Xue et al.
- Runoff Generation Signaled by Deviations from the Budyko Framework G. Demeke et al.
- A comprehensive framework for quantifying the impacts of climate change and human activities on baseflow and direct runoff: Application across six diverse basins in China T. Cui et al.
- Diagnosing evaporation in heterogeneous alpine basins using the generalized complementary relationship model integrated with the Budyko framework X. Zhang et al.
- A generalized water-energy complementary model for hydrological partitioning B. Yan & S. Du
- Water balance analysis in Iowa using satellite-based evapotranspiration, precipitation, and streamflow data M. Diaz et al.
- Budyko scatter reveals interactions between wildfire, land cover change, and climate N. Corak et al.
14 citations as recorded by crossref.
- A macroscale evapotranspiration benchmark based on spatial and temporal enhancements to the Budyko framework L. Zhang et al.
- Improving annual streamflow estimates using Budyko parameterization driven by catchment attributes H. Tamiru et al.
- Partitioning Green and Blue Evapotranspiration by Improving Budyko Equation Using Remote Sensing Observations in an Arid/Semi-Arid Inland River Basin in China D. Zhou et al.
- Interpretation of the Budyko framework for monthly evapotranspiration prediction of individual basins H. Sun et al.
- Exploring the aridity risk in agricultural lands of southwest Spain: the Extremadura region J. Lozano-Parra
- Quantified groundwater–surface water dynamics across Tigris–Euphrates basin through integrated modelling Q. Alkhawlani et al.
- Attribution of runoff and sediment changes in the Wuding River Basin based on the Budyko-Kaya framework M. Zhang et al.
- Improving evapotranspiration estimation models through quantitative watershed parameter analysis and remote sensing applications M. Xue et al.
- Runoff Generation Signaled by Deviations from the Budyko Framework G. Demeke et al.
- A comprehensive framework for quantifying the impacts of climate change and human activities on baseflow and direct runoff: Application across six diverse basins in China T. Cui et al.
- Diagnosing evaporation in heterogeneous alpine basins using the generalized complementary relationship model integrated with the Budyko framework X. Zhang et al.
- A generalized water-energy complementary model for hydrological partitioning B. Yan & S. Du
- Water balance analysis in Iowa using satellite-based evapotranspiration, precipitation, and streamflow data M. Diaz et al.
- Budyko scatter reveals interactions between wildfire, land cover change, and climate N. Corak et al.
Saved (final revised paper)
Latest update: 14 May 2026
Short summary
This study addresses the quantification and estimation of the watershed-characteristic-related parameter (Pw) in the Budyko framework with the principle of hydrologically similar groups. The results show that Pw is closely related to soil moisture and fractional vegetation cover, and the relationship varies across specific hydrologic similarity groups. The overall satisfactory performance of the Pw estimation model improves the applicability of the Budyko framework for global runoff estimation.
This study addresses the quantification and estimation of the watershed-characteristic-related...
