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Volume 10, issue 2
Earth Syst. Sci. Data, 10, 765–785, 2018
https://doi.org/10.5194/essd-10-765-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 10, 765–785, 2018
https://doi.org/10.5194/essd-10-765-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  17 Apr 2018

17 Apr 2018

The Global Streamflow Indices and Metadata Archive (GSIM) – Part 1: The production of a daily streamflow archive and metadata

Hong Xuan Do et al.
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Manuscript under review for HESS
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Addor, N., Newman, A. J., Mizukami, N., and Clark, M. P.: The CAMELS data set: catchment attributes and meteorology for large-sample studies, Hydrol. Earth Syst. Sci., 21, 5293–5313, https://doi.org/10.5194/hess-21-5293-2017, 2017.
Arsenault, R., Bazile, R., Ouellet Dallaire, C., and Brissette, F.: CANOPEX: A Canadian hydrometeorological watershed database, Hydrol. Process., 30, 2734–2736, 2016.
Barr, I. D. and Clark, C. D.: An updated moraine map of Far NE Russia, J. Maps, 8, 431–436, 2012.
Bhaduri, B., Bright, E., Coleman, P., and Dobson, J.: LandScan, Geoinformatics, 5, 34–37, 2002.
Bierkens, M. F. P.: Global hydrology 2015: State, trends, and directions, Water Resour. Res., 51, 4923–4947, 2015.
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Short summary
The production of 30 959 daily streamflow time series in the Global Streamflow and Metadata Archive (GSIM) project is presented. The paper also describes the development of three metadata products that are freely available. Having collated an unprecedented number of stations and associated metadata, GSIM can be used to advance large-scale hydrological research and improve understanding of the global water cycle.
The production of 30 959 daily streamflow time series in the Global Streamflow and Metadata...
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