Preprints
https://doi.org/10.5194/essd-2021-51
https://doi.org/10.5194/essd-2021-51

  02 Mar 2021

02 Mar 2021

Review status: this preprint is currently under review for the journal ESSD.

GRQA: Global River Water Quality Archive

Holger Virro1, Giuseppe Amatulli2,3, Alexander Kmoch1, Longzhu Shen4,5, and Evelyn Uuemaa1 Holger Virro et al.
  • 1Department of Geography, Institute of Ecology and Earth Sciences, University of Tartu, Vanemuise 46, Tartu, 51003, Estonia
  • 2Yale University, School of the Environment, New Haven, CT, 06511, USA
  • 3Yale University, Center for Research Computing, New Haven, CT, 06511, USA
  • 4HyperAmp, Barnwell Road, Cambridge CB5 8RQ, UK
  • 5Spatial-Ecology, Meaderville House, Wheal Buller, Redruth, TR16 6ST, UK

Abstract. A major problem related to global water quality analysis and modelling has been the lack of available good quality and consistent water quality measurement datasets with a global spatial coverage. Current study aims to contribute into improving the global datasets on water quality by aggregating and harmonizing five national, continental and global datasets: CESI, GEMSTAT, GLORICH, WATERBASE and WQP.

The GRQA compilation involved converting observation data from the five sources into a common format and harmonizing the corresponding metadata, flagging outliers, calculating time series characteristics and detecting duplicate observations from sources with a spatial overlap. The final dataset extends the spatial and temporal coverage of previously available water quality data and contains 42 parameters and over 16 million measurements around the globe covering the 1898–2020 time period. Metadata in the form of statistical tables, maps and figures are provided along with observation time series.

The GRQA dataset, supplementary metadata and figures are available for download on the DataCite and OpenAire enabled repository of the University of Tartu, DataDOI, http://dx.doi.org/10.23673/re-273 (Virro et al., 2021).

Holger Virro et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-51', Anonymous Referee #1, 07 Apr 2021
    • AC1: 'Reply on RC1', Holger Virro, 28 Jul 2021
  • RC2: 'Comment on essd-2021-51', Anonymous Referee #2, 18 Jun 2021
    • AC2: 'Reply on RC2', Holger Virro, 28 Jul 2021

Holger Virro et al.

Data sets

GRQA: Global River Water Quality Archive Holger Virro, Giuseppe Amatulli, Alexander Kmoch, Longzhu Shen, and Evelyn Uuemaa http://dx.doi.org/10.23673/re-273

Model code and software

GRQA_src Holger Virro, Giuseppe Amatulli, Alexander Kmoch, Longzhu Shen, and Evelyn Uuemaa https://github.com/LandscapeGeoinformatics/GRQA_src

Holger Virro et al.

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Short summary
Water quality modeling is essential for understanding and mitigating water quality deterioration in river networks due to agricultural and industrial pollution. Improving the availability and usability of open data is vital to support global water quality modeling efforts. The GRQA extends the spatial and temporal coverage of previously available water quality data and provides a reproducible workflow for combining multi-source water quality datasets.