Articles | Volume 26, issue 21
https://doi.org/10.5194/hess-26-5647-2022
https://doi.org/10.5194/hess-26-5647-2022
Research article
 | 
10 Nov 2022
Research article |  | 10 Nov 2022

Revisiting large-scale interception patterns constrained by a synthesis of global experimental data

Feng Zhong, Shanhu Jiang, Albert I. J. M. van Dijk, Liliang Ren, Jaap Schellekens, and Diego G. Miralles

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Cited articles

Acharya, S., McLaughlin, D., Kaplan, D., and Cohen, M. J.: A proposed method for estimating interception from near-surface soil moisture response, Hydrol. Earth Syst. Sci., 24, 1859–1870, https://doi.org/10.5194/hess-24-1859-2020, 2020. 
Armstrong, R., Brodzik, M., Knowles, K., and Savoie, M.: Global monthly EASE-grid snow water equivalent climatology, version 1, National Snow and Ice Data Center Distributed Active Archive Center, Boulder, Colorado USA, https://doi.org/10.5067/KJVERY3MIBPS, 2005. 
Beck, H. E., Wood, E. F., Pan, M., Fisher, C. K., Miralles, D. G., Van Dijk, A. I., McVicar, T. R., and Adler, R. F.: MSWEP V2 global 3-hourly 0.1 precipitation: methodology and quantitative assessment, B. Am. Meteorol. Soc., 100, 473–500, https://doi.org/10.1175/BAMS-D-17-0138.1, 2019. 
Béland, M. and Baldocchi, D. D.: Vertical structure heterogeneity in broadleaf forests: Effects on light interception and canopy photosynthesis, Agr. Forest. Meteorol., 307, 108525, https://doi.org/10.1016/j.agrformet.2021.108525, 2021. 
Braghiere, R. K., Quaife, T., Black, E., He, L., and Chen, J.: Underestimation of global photosynthesis in Earth system models due to representation of vegetation structure, Global Biogeochem. Cy., 33, 1358–1369, https://doi.org/10.1029/2018GB006135, 2019. 
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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.