Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/112067
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Type: Journal article
Title: The Global Streamflow Indices and Metadata archive (GSIM)-part 2: quality control, time-series indices and homogeneity assessment
Author: Gudmundsson, L.
Do, H.
Leonard, M.
Westra, S.
Citation: Earth System Science Data, 2018; 10(2):787-804
Publisher: Copernicus Publications
Issue Date: 2018
ISSN: 1866-3508
1866-3516
Statement of
Responsibility: 
Lukas Gudmundsson, Hong Xuan Do, Michael Leonard and Seth Westra
Abstract: This is Part 2 of a two-paper series presenting the Global Streamflow Indices and Metadata Archive (GSIM), which is a collection of daily streamflow observations at more than 30 000 stations around the world. While Part 1 (Do et al., 2018a) describes the data collection process as well as the generation of auxiliary catchment data (e.g. catchment boundary, land cover, mean climate), Part 2 introduces a set of quality controlled time-series indices representing (i) the water balance, (ii) the seasonal cycle, (iii) low flows and (iv) floods. To this end we first consider the quality of individual daily records using a combination of quality flags from data providers and automated screening methods. Subsequently, streamflow time-series indices are computed for yearly, seasonal and monthly resolution. The paper provides a generalized assessment of the homogeneity of all generated streamflow time-series indices, which can be used to select time series that are suitable for a specific task. The newly generated global set of streamflow time-series indices is made freely available with an digital object identifier at https://doi.pangaea.de/10.1594/PANGAEA.887470 and is expected to foster global freshwater research, by acting as a ground truth for model validation or as a basis for assessing the role of human impacts on the terrestrial water cycle. It is hoped that a renewed interest in streamflow data at the global scale will foster efforts in the systematic assessment of data quality and provide momentum to overcome administrative barriers that lead to inconsistencies in global collections of relevant hydrological observations.
Rights: © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License.
RMID: 0030085970
DOI: 10.5194/essd-10-787-2018
Appears in Collections:Civil and Environmental Engineering publications

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