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Earth System Science Data The Data Publishing Journal
https://doi.org/10.5194/essd-2017-103
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
20 Sep 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).
The Global Streamflow Indices and Metadata Archive (GSIM) – Part 1: The production of daily streamflow archive and metadata
Hong Xuan Do1, Lukas Gudmundsson2, Michael Leonard1, Seth Westra1, and Sonia Isabelle Seneviratne2 1School of Civil, Environmental and M ining Engineering, University of Adelaide, Adelaide, Australia
2ETH Zürich, Institute for Atmospheric and Climate Science, Zürich, Switzerland
Abstract. This is the first part of a two paper series presenting the Global Streamflow Indices and Metadata archive (GSIM), a worldwide collection of metadata and indices derived from more than 35,002 daily streamflow timeseries. This paper focuses on the compilation of the daily streamflow timeseries based on 12 free-to-access streamflow databases (seven national databases and five international collections). It also describes the development of three metadata products (freely available at https://iacweb.ethz.ch/staff/lukasgu/GSIM/GSIM_metadata.zip): (1) a GSIM catalogue collating basic metadata associated with each timeseries, (2) catchment boundaries for the contributing area of each gauge, and (3) catchment metadata extracted from 12 gridded global data products representing essential properties such as land cover type, soil type, climate and topographic characteristics. The second paper in the series then explores production and analysis of streamflow indices. 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.

Citation: Do, H. X., Gudmundsson, L., Leonard, M., Westra, S., and Seneviratne, S. I.: The Global Streamflow Indices and Metadata Archive (GSIM) – Part 1: The production of daily streamflow archive and metadata, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2017-103, in review, 2017.
Hong Xuan Do et al.
Hong Xuan Do et al.
Hong Xuan Do et al.

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The production of 30,959 daily streamflow timeseries 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 timeseries in the Global Streamflow and Metadata...
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