GRUN: an observation-based global gridded runoff dataset from 1902 to 2014

• Published in: Earth system science data Vol. 11; no. 4; pp. 1655 - 1674
• Main Authors: Ghiggi, Gionata, Humphrey, Vincent, Seneviratne, Sonia I., Gudmundsson, Lukas
• Format: Journal Article
• Language: English
• Published: Katlenburg-Lindau Copernicus GmbH 13.11.2019; Copernicus Publications
• Subjects: Algorithms; Antecedent precipitation; Assessments; Atmospheric models; Climate change; Climatic changes; Comparative analysis; Computer simulation; Data mining; Datasets; Drought; Freshwater; Freshwater resources; Hydrologic models; Hydrology; Inland water environment; Interannual variability; Learning algorithms; Machine learning; Monthly runoff; Reconstruction; River basins; Rivers; Runoff; Runoff rates; Stream discharge; Stream flow; Streamflow; Variability; Water management; Water resources

Freshwater resources are of high societal relevance, and understanding their past variability is vital to water management in the context of ongoing climate change. This study introduces a global gridded monthly reconstruction of runoff covering the period from 1902 to 2014. In situ streamflow obser...