The Global Streamflow Indices and Metadata Archive (GSIM) – Part 2: Quality control, time-series  indices and homogeneity assessment

Gudmundsson, Lukas; Do, Hong Xuan; Leonard, Michael; Westra, Seth

doi:https://doi.org/10.5194/essd-10-787-2018

Articles | Volume 10, issue 2

https://doi.org/10.5194/essd-10-787-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-10-787-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 10, issue 2

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, Hong Xuan Do, Michael Leonard, and Seth Westra

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Final revised paper (published on 17 Apr 2018)
Preprint (discussion started on 20 Sep 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review essd-2017-104', Wolfgang Grabs, 18 Dec 2017
- AC1: 'Response to W. Grabs', Lukas Gudmundsson, 26 Jan 2018
RC2: 'Review part 2', Anonymous Referee #2, 31 Dec 2017
- AC2: 'Response to referee #2', Lukas Gudmundsson, 26 Jan 2018

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.