GRQA: Global River Water Quality Archive

Large-scale hydrological studies are often limited by the lack of available observation data with a good spatiotemporal coverage. This has affected the reproducibility of previous studies and the potential improvement of existing hydrological models. In addition to the observation data themselves, i...

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Veröffentlicht in:Earth system science data 2021-11, Vol.13 (12), p.5483-5507
Hauptverfasser: Virro, Holger, Amatulli, Giuseppe, Kmoch, Alexander, Shen, Longzhu, Uuemaa, Evelyn
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Sprache:eng
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Zusammenfassung:Large-scale hydrological studies are often limited by the lack of available observation data with a good spatiotemporal coverage. This has affected the reproducibility of previous studies and the potential improvement of existing hydrological models. In addition to the observation data themselves, insufficient or poor-quality metadata have also discouraged researchers from integrating the already-available datasets. Therefore, improving both the availability and quality of open water quality data would increase the potential to implement predictive modeling on a global scale.
ISSN:1866-3516
1866-3508
1866-3516
DOI:10.5194/essd-13-5483-2021