'Response to RC2 by Anonymous Referee #2', Tim Busker, 23 July 2018'

Busker, Tim

doi:10.5194/hess-2018-21-ac3

Cited by 1 publication

(2 citation statements)

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“…Lack of data on human behavior has been compensated in model parametrization by employing environmental data. Reservoir operational behavior, for instance, can be mimicked using reservoir volume data derived from satellite altimetry (Busker et al, ). Combining a range of variables is also useful for building indices related to sustainability and human development, such as the human pressure on rivers index (Ceola, Laio, & Montanari, ).…”

Section: Dataset Applicationsmentioning

confidence: 99%

“…In some cases, however, combining datasets can be a means of compensating for short time series. For instance, Busker et al () analyzed volumes for 137 reservoirs and lakes by combining a long‐term surface water dataset (32 years) with a young satellite altimetry dataset (<10 years), whereby the volume time series could be estimated for the full 32 years through derived hypsometry relationships.…”

Section: Dataset Usability Challenges For Comparative Studiesmentioning

confidence: 99%

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A review of freely accessible global datasets for the study of floods, droughts and their interactions with human societies

et al. 2020

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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 https://zenodo.org/ record/3368882. 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 watersociety 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.

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Section: Dataset Applicationsmentioning

confidence: 99%

Section: Dataset Usability Challenges For Comparative Studiesmentioning

confidence: 99%