Articles | Volume 26, issue 21
https://doi.org/10.5194/hess-26-5647-2022
© 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/hess-26-5647-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Revisiting large-scale interception patterns constrained by a synthesis of global experimental data
Feng Zhong
Hydro-Climate Extremes Lab (H-CEL), Ghent University, Ghent, 9000, Belgium
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
Shanhu Jiang
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
College of Hydrology and Water Resources, Hohai University, Nanjing, China
Albert I. J. M. van Dijk
Fenner School of Environment & Society, Australian National University, Canberra, ACT, Australia
Liliang Ren
CORRESPONDING AUTHOR
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
College of Hydrology and Water Resources, Hohai University, Nanjing, China
Jaap Schellekens
Planet Labs, PBC, Haarlem, the Netherlands
Diego G. Miralles
CORRESPONDING AUTHOR
Hydro-Climate Extremes Lab (H-CEL), Ghent University, Ghent, 9000, Belgium
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Cited
13 citations as recorded by crossref.
- GLEAM4: global land evaporation and soil moisture dataset at 0.1° resolution from 1980 to near present D. Miralles et al. 10.1038/s41597-025-04610-y
- Comparative analysis of machine learning models and explainable AI for agriculture drought prediction: A case study of the Ta-pieh mountains L. Xu et al. 10.1016/j.agwat.2024.109176
- Estimating rainfall interception loss of three dominant shrub species in an oasis–desert ecotone using in situ measurements and the revised Gash analytical model W. Zhao et al. 10.1016/j.jenvman.2023.119091
- Three-dimensional ecological drought identification and evaluation method considering eco-physiological status of terrestrial ecosystems Y. Zhu et al. 10.1016/j.scitotenv.2024.175423
- Exploring the spatiotemporal distribution and driving factors of vegetation canopy rainfall interception in the Qilian Mountains, Northwest China H. Wang et al. 10.1016/j.catena.2024.107829
- Identifying cumulative transition effects of large-scale vegetation restoration on climate and hydrology via a dynamically separating framework Y. Zhu et al. 10.1016/j.agrformet.2025.110494
- Deciphering global patterns of forest canopy rainfall interception (FCRI): A synthesis of geographical, forest species, and methodological influences C. de Mello et al. 10.1016/j.jenvman.2024.120879
- UAV-based thermography reveals spatial and temporal variability of evapotranspiration from a tropical rainforest M. Bulusu et al. 10.3389/ffgc.2023.1232410
- Enhancing global rainfall interception loss estimation through vegetation structure modeling S. Oliveira et al. 10.1016/j.jhydrol.2024.130672
- Idealized branch sections and hydrodynamic analysis characterize rainfall partitioning A. Puri et al. 10.1002/hyp.15194
- Reforestation effects on low flows: Review of public perceptions and scientific evidence I. van Meerveld & J. Seibert 10.1002/wat2.1760
- Seasonal dynamics of canopy interception loss within a deciduous and a coniferous forest M. Andreasen et al. 10.1002/hyp.14828
- Examining the effect of moisture thresholds on post-fire water-repellent soil: a large-scale modelling approach applied to the Upper Arroyo Seco watershed, California, USA N. Pradhan & I. Floyd 10.1071/WF22083
13 citations as recorded by crossref.
- GLEAM4: global land evaporation and soil moisture dataset at 0.1° resolution from 1980 to near present D. Miralles et al. 10.1038/s41597-025-04610-y
- Comparative analysis of machine learning models and explainable AI for agriculture drought prediction: A case study of the Ta-pieh mountains L. Xu et al. 10.1016/j.agwat.2024.109176
- Estimating rainfall interception loss of three dominant shrub species in an oasis–desert ecotone using in situ measurements and the revised Gash analytical model W. Zhao et al. 10.1016/j.jenvman.2023.119091
- Three-dimensional ecological drought identification and evaluation method considering eco-physiological status of terrestrial ecosystems Y. Zhu et al. 10.1016/j.scitotenv.2024.175423
- Exploring the spatiotemporal distribution and driving factors of vegetation canopy rainfall interception in the Qilian Mountains, Northwest China H. Wang et al. 10.1016/j.catena.2024.107829
- Identifying cumulative transition effects of large-scale vegetation restoration on climate and hydrology via a dynamically separating framework Y. Zhu et al. 10.1016/j.agrformet.2025.110494
- Deciphering global patterns of forest canopy rainfall interception (FCRI): A synthesis of geographical, forest species, and methodological influences C. de Mello et al. 10.1016/j.jenvman.2024.120879
- UAV-based thermography reveals spatial and temporal variability of evapotranspiration from a tropical rainforest M. Bulusu et al. 10.3389/ffgc.2023.1232410
- Enhancing global rainfall interception loss estimation through vegetation structure modeling S. Oliveira et al. 10.1016/j.jhydrol.2024.130672
- Idealized branch sections and hydrodynamic analysis characterize rainfall partitioning A. Puri et al. 10.1002/hyp.15194
- Reforestation effects on low flows: Review of public perceptions and scientific evidence I. van Meerveld & J. Seibert 10.1002/wat2.1760
- Seasonal dynamics of canopy interception loss within a deciduous and a coniferous forest M. Andreasen et al. 10.1002/hyp.14828
- Examining the effect of moisture thresholds on post-fire water-repellent soil: a large-scale modelling approach applied to the Upper Arroyo Seco watershed, California, USA N. Pradhan & I. Floyd 10.1071/WF22083
Latest update: 01 Apr 2025
Short summary
A synthesis of rainfall interception data from past field campaigns is performed, including 166 forests and 17 agricultural plots distributed worldwide. These site data are used to constrain and validate an interception model that considers sub-grid heterogeneity and vegetation dynamics. A global, 40-year (1980–2019) interception dataset is generated at a daily temporal and 0.1° spatial resolution. This dataset will serve as a benchmark for future investigations of the global hydrological cycle.
A synthesis of rainfall interception data from past field campaigns is performed, including 166...