Current practices in catchment characterization: data sources, aggregation approaches, derived descriptors and their value Article Swipe
Larisa Tarasova
,
Sebastian Gnann
,
Soohyun Yang
,
Andreas Hartmann
,
Thorsten Wagener
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5194/egusphere-egu22-3804
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5194/egusphere-egu22-3804
<p>A common way to characterize catchments is to use catchment descriptors that summarize important physical aspects of a given catchment, often by aggregating large geospatial datasets into a single number. Such descriptors aim at extracting information that can inform us about different aspects of catchment functioning, help us to infer dominant hydrological processes, identify similarity among different sites, and transfer information across them. In this study we analyze a large sample of research articles indexed in Scopus, that were returned from the search words “catchment characteristic”, “catchment descriptor”, “catchment attribute”, “catchment indicator” or “catchment property”, to identify current practices of catchment characterization in hydrological science and related disciplines.</p><p>We particularly focus on analyzing the variety of data sources on which catchment descriptors are usually based (e.g., digital elevation, land use, lithographic and soil texture maps), on identifying how the datasets are aggregated into catchment descriptors, and on exploring how the value of those descriptors is assessed.</p><p>Based on this large sample of studies that cover diverse research areas (e.g., water quantity, water quality, lake research, aquatic ecosystems), different types of studies (e.g., data-based analysis, hydrological and statistical modeling, field studies) and various application purposes (e.g., descriptive site comparison, catchment clustering/classification, quantitative driver/control identification, regionalization), we provide a categorized overview of practices that are currently used for catchment characterization. This overview will provide guidance for future studies by summarizing the status quo and its strengths and limitations, and by providing suggestions for future research.</p>
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.5194/egusphere-egu22-3804
- OA Status
- gold
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4220835635Canonical identifier for this work in OpenAlex
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https://doi.org/10.5194/egusphere-egu22-3804Digital Object Identifier
- Title
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Current practices in catchment characterization: data sources, aggregation approaches, derived descriptors and their valueWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
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2022Year of publication
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2022-03-27Full publication date if available
- Authors
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Larisa Tarasova, Sebastian Gnann, Soohyun Yang, Andreas Hartmann, Thorsten WagenerList of authors in order
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https://doi.org/10.5194/egusphere-egu22-3804Publisher landing page
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.5194/egusphere-egu22-3804Direct OA link when available
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Drainage basin, Hydrology (agriculture), Environmental science, Geospatial analysis, Catchment area, Water resource management, Computer science, Geography, Remote sensing, Cartography, Geology, Geotechnical engineeringTop concepts (fields/topics) attached by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5005726976, https://openalex.org/A5050897838, https://openalex.org/A5063615223 |
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