Journal cover Journal topic
Earth System Science Data The Data Publishing Journal
Earth Syst. Sci. Data, 9, 251-258, 2017
http://www.earth-syst-sci-data.net/9/251/2017/
doi:10.5194/essd-9-251-2017
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
30 Mar 2017
Basin-scale water-balance dataset (BSWB): an update
Martin Hirschi and Sonia I. Seneviratne Institute for Atmospheric and Climate Science, ETH Zurich, Universitätstrasse 16, 8092 Zürich, Switzerland
Abstract. This paper presents an update of a basin-scale diagnostic dataset of monthly variations in terrestrial water storage for large river basins worldwide (BSWB v2016, doi:10.5905/ethz-1007-82). Terrestrial water storage comprises all forms of water storage on land surfaces, and its seasonal and inter-annual variations are mostly determined by soil moisture, groundwater, snow cover, and surface water. The dataset presented is derived using a combined atmospheric and terrestrial water-balance approach with conventional streamflow measurements and reanalysis data of atmospheric moisture flux convergence. It extends a previous, existing version of the dataset (Mueller et al., 2011) temporally and spatially.

Citation: Hirschi, M. and Seneviratne, S. I.: Basin-scale water-balance dataset (BSWB): an update, Earth Syst. Sci. Data, 9, 251-258, doi:10.5194/essd-9-251-2017, 2017.
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Short summary
Terrestrial water storage comprises all forms of water storage on land surfaces, and its seasonal and inter-annual variations are mostly determined by soil moisture, groundwater, snow cover, and surface water. Soil moisture, especially, contributes to land--atmosphere coupling in an essential way. This paper presents an update of a basin-scale diagnostic dataset of monthly variations in terrestrial water storage for large river basins worldwide.
Terrestrial water storage comprises all forms of water storage on land surfaces, and its...
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