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A review of freely accessible global datasets for the study of floods, droughts and their interactions with human societies
Uppsala Univ, Dept Earth Sci, Uppsala, Sweden..ORCID iD: 0000-0001-9359-6218
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Resources, Energy and Infrastructure.ORCID iD: 0000-0002-7575-8989
Uppsala Univ, Dept Earth Sci, Uppsala, Sweden..ORCID iD: 0000-0002-8789-7628
Uppsala Univ, Dept Earth Sci, Uppsala, Sweden..ORCID iD: 0000-0002-8180-4996
2020 (English)In: WIREs Water, E-ISSN 2049-1948, Vol. 7, no 3, article id e1424Article, review/survey (Refereed) Published
Abstract [en]

The availability of planetary-scale geospatial datasets that can support the study of water-related disasters in the Anthropocene is rapidly growing. We review 124 global and free datasets allowing spatial (and temporal) analyses of floods, droughts and their interactions with human societies. Our collection of datasets is available in a descriptive list for download at . The purpose of providing an overview of datasets across a wide range of hydrological and socioeconomic variables is to highlight research opportunities across scientific disciplines for the study of the water-society interplay. Our collection of datasets confirms that the availability of geospatial data capturing hydrological hazards and exposure is far more mature than those capturing vulnerability aspects. We do not only highlight the unprecedented opportunities associated with these global datasets for the study of water-related disasters in the Anthropocene, but also discuss the challenges associated with their exploitation. These challenges include: (a) time varying datasets advised not to be used in time series analyses; (b) fine spatial resolution datasets advised not to be used in local scale studies; (c), datasets built by a wide variety of data sources prohibiting systematic uncertainty assessments; and (d) datasets built by covariate variables preventing interaction studies. This article is categorized under: Engineering Water > Planning Water Engineering Water > Sustainable Engineering of Water Science of Water > Water Extremes

Place, publisher, year, edition, pages
Wiley , 2020. Vol. 7, no 3, article id e1424
Keywords [en]
disaster risk, droughts, Earth observation, floods, open geodata
National Category
Oceanography, Hydrology and Water Resources
Identifiers
URN: urn:nbn:se:kth:diva-303473DOI: 10.1002/wat2.1424ISI: 000530332500010Scopus ID: 2-s2.0-85085482372OAI: oai:DiVA.org:kth-303473DiVA, id: diva2:1603011
Note

QC 20211014

Available from: 2021-10-14 Created: 2021-10-14 Last updated: 2024-08-01Bibliographically approved

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Lindersson, SaraBrandimarte, Luigia

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