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ESSD | Articles | Volume 10, issue 2
Earth Syst. Sci. Data, 10, 787–804, 2018
https://doi.org/10.5194/essd-10-787-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 10, 787–804, 2018
https://doi.org/10.5194/essd-10-787-2018
© 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 2: Quality control, time-series indices and homogeneity assessment

Lukas Gudmundsson et al.
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Cited articles  
Alexandersson, H.: A homogeneity test applied to precipitation data, J. Climatol., 6, 661–675, 1986. 
Alkama, R., Marchand, L., Ribes, A., and Decharme, B.: Detection of global runoff changes: results from observations and CMIP5 experiments, Hydrol. Earth Syst. Sci., 17, 2967–2979, https://doi.org/10.5194/hess-17-2967-2013, 2013. 
Beck, H. E., de Roo, A., and van Dijk, A. I. J. M.: Global maps of streamflow characteristics based on observations from several thousand catchments, J. Hydrometeorol., 16, 1478–1501, 2015. 
Short summary
Time-series indices characterizing streamflow at annual, seasonal and monthly resolution at more than 30 000 stations around the world are presented. The data belong to the Global Streamflow and Metadata Archive (GSIM) and allow for an assessment of water balance components, hydrological extremes and the seasonality of water availability. The quality of the data is tested using automated methods to aid potential users to gauge the suitability of the data for specific applications.
Time-series indices characterizing streamflow at annual, seasonal and monthly resolution at more...
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