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A global multi catchment and multi dataset synthesis for water fluxes and storage changes on land
Stockholm University, Faculty of Science, Department of Physical Geography.
Stockholm University, Faculty of Science, Department of Physical Geography. Stockholm University, Faculty of Science, The Bolin Centre for Climate Research (together with KTH & SMHI). Stellenbosch Institute for Advanced Study, Stellenbosch, South Africa.ORCID iD: 0000-0001-9408-4425
Number of Authors: 22024 (English)In: Sci Data, Vol. 11, article id 1333Article in journal (Refereed) Published
Abstract [en]

Water on land is essential for all societal, ecosystem, and planetary health aspects and conditions, and all life as we know it. Many disciplines consider and model similar terrestrial water phenomena and processes, but comparisons and consistent validations are lacking for the datasets used by various science communities for different world parts, scales, and applications. Here, we present a new global data synthesis that includes and harmonises four comparative datasets for main terrestrial water fluxes and storage changes, and the catchment-wise water balance closure they imply for the 30-year period 1980–2010 in 1561 non-overlapping hydrological catchments around the world. This can be used to identify essential agreements and disagreements of the comparative datasets for spatial variations and temporal changes of runoff, evapotranspiration, water storage, and associated water-balances around the global land area, e.g., for pattern recognition and hypothesis/model testing. The facilitated direct dataset comparison can advance a more coherent, realistic cross-disciplinary understanding of Earth’s water states and changes across regions and scales, from local and up to continental and global.

Place, publisher, year, edition, pages
2024. Vol. 11, article id 1333
National Category
Physical Geography
Identifiers
URN: urn:nbn:se:su:diva-240723DOI: 10.1038/s41597-024-04203-1ISI: 001372585400006PubMedID: 39638811Scopus ID: 2-s2.0-85211323402OAI: oai:DiVA.org:su-240723DiVA, id: diva2:1944492
Available from: 2025-03-14 Created: 2025-03-14 Last updated: 2025-03-14Bibliographically approved

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Zarei, MohannaDestouni, Georgia

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CiteExportLink to record
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  • apa
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