Articles | Volume 24, issue 1
Hydrol. Earth Syst. Sci., 24, 381–396, 2020
https://doi.org/10.5194/hess-24-381-2020
Hydrol. Earth Syst. Sci., 24, 381–396, 2020
https://doi.org/10.5194/hess-24-381-2020

Research article 24 Jan 2020

Research article | 24 Jan 2020

Inter-annual variability of the global terrestrial water cycle

Dongqin Yin and Michael L. Roderick

Data sets

A Climate Data Record (CDR) for the global terrestrial water budget: 1984–2010 (http://stream.princeton.edu:8080/opendap/MEaSUREs/WC_MULTISOURCES_WB_050/) Y. Zhang, M. Pan, J. Sheffield, A. L. Siemann, C. K. Fisher, M. Liang, H. E. Beck, N. Wanders, R. F. MacCracken, P. R. Houser, T. Zhou, D. P. Lettenmaier, R. T. Pinker, J. Bytheway, C. D. Kummerow, and E. F. Wood https://doi.org/10.5194/hess-22-241-2018

NASA GEWEX Surface Radiation Budget P. W. Stackhouse, S. K. Gupta, S. J. Cox, T. Zhang, and J. C. Mikovitz https://doi.org/10.17616/R37R42

Updated high‐resolution grids of monthly climatic observations – the CRU TS3.10 Dataset (http://data.ceda.ac.uk/badc/cru/data/cru_ts/cru_ts_4.01) I. Harris, P. D. Jones, T. J. Osborn, and D. H. Lister https://doi.org/10.1002/joc.3711

Benchmark products for land evapotranspiration: LandFlux-EVAL multi-data set synthesis (https://iac.ethz.ch/group/land-climate-dynamics/research/landflux-eval.html) B. Mueller, M. Hirschi, C. Jimenez, P. Ciais, P. A. Dirmeyer, A. J. Dolman, J. B. Fisher, M. Jung, F. Ludwig, F. Maignan, D. G. Miralles, M. F. McCabe, M. Reichstein, J. Sheffield, K. Wang, E. F. Wood, Y. Zhang, and S. I. Seneviratne https://doi.org/10.5194/hess-17-3707-2013

Recent decline in the global land evapotranspiration trend due to limited moisture supply (https://www.bgc-jena.mpg.de/geodb/projects/Data.php) M. Jung, M. Reichstein, P. Ciais, S. I. Seneviratne, J. Sheffield, M. L. Goulden, G. Bonan, A. Cescatti, J. Chen, R. de Jeu, A. J. Dolman, W. Eugster, D. Gerten, D. Gianelle, N. Gobron, J. Heinke, J. Kimball, B. E. Law, L. Montagnani, Q. Mu, B. Mueller, K. Oleson, D. Papale, A. D. Richardson, O. Roupsard, S. Running, E. Tomelleri, N. Viovy, U. Weber, C. Williams, E. Wood, S. Zaehle, and K. Zhang https://doi.org/10.1038/nature09396

E-RUN version 1.1: Observational gridded runoff estimates for Europe, link to data in NetCDF format (69 MB) L. Gudmundsson and S. I. Seneviratne https://doi.org/10.1594/PANGAEA.861371

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Short summary
We focus on the initial analysis of inter-annual variability in the global terrestrial water cycle, which is key to understanding hydro-climate extremes. We find that (1) the partitioning of inter-annual variability is totally different with the mean state partitioning; (2) the magnitude of covariances can be large and negative, indicating the variability in the sinks can exceed variability in the source; and (3) the partitioning is relevant to the water storage capacity and snow/ice presence.