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Earth System Science Data The data publishing journal
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Volume 9, issue 1
Earth Syst. Sci. Data, 9, 251–258, 2017
https://doi.org/10.5194/essd-9-251-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Earth Syst. Sci. Data, 9, 251–258, 2017
https://doi.org/10.5194/essd-9-251-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

  30 Mar 2017

30 Mar 2017

Basin-scale water-balance dataset (BSWB): an update

Martin Hirschi and Sonia I. Seneviratne 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.

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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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