Articles | Volume 11, issue 4
Earth Syst. Sci. Data, 11, 1655–1674, 2019
https://doi.org/10.5194/essd-11-1655-2019
Earth Syst. Sci. Data, 11, 1655–1674, 2019
https://doi.org/10.5194/essd-11-1655-2019
Data description paper
13 Nov 2019
Data description paper | 13 Nov 2019

GRUN: an observation-based global gridded runoff dataset from 1902 to 2014

Gionata Ghiggi et al.

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Cited articles

Alter, R. E., Fan, Y., Lintner, B. R., and Weaver, C. P.: Observational Evidence that Great Plains Irrigation Has Enhanced Summer Precipitation Intensity and Totals in the Midwestern United States, J. Hydrometeorol., 16, 1717–1735, https://doi.org/10.1175/jhm-d-14-0115.1, 2015. 
Arheimer, B., Donnelly, C., and Lindström, G.: Regulation of snow-fed rivers affects flow regimes more than climate change, Nat. Commun., 8, 62, https://doi.org/10.1038/s41467-017-00092-8, 2017. 
Bierkens, M. F. P. and van Beek, L. P. H.: Seasonal Predictability of European Discharge: NAO and Hydrological Response Time, J. Hydrometeorol., 10, 953–968, https://doi.org/10.1175/2009JHM1034.1, 2009. 
Blöschl, G., Sivapalan, M., Wagener, T., Viglione, A., and Savenije, H.: Runoff Prediction in Ungauged Basins: Synthesis Across Processes, Places and Scales, Cambridge University Press, 2013. 
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Short summary
Freshwater resources are of high societal relevance and understanding their past variability is vital to water management in the context of current and future climatic change. This study introduces GRUN: the first global gridded monthly reconstruction of runoff covering the period from 1902 to 2014. The dataset agrees on average much better with the streamflow observations than an ensemble of 13 state-of-the-art global hydrological models and will foster the understanding of freshwater dynamics.