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CAMELS-CZ: A catchment attribute database for hydrological and climatological studies using a large sample of catchments

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F24%3AN0000128" target="_blank" >RIV/00020699:_____/24:N0000128 - isvavai.cz</a>

  • Result on the web

    <a href="https://meetingorganizer.copernicus.org/EGU24/EGU24-3872.html" target="_blank" >https://meetingorganizer.copernicus.org/EGU24/EGU24-3872.html</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    CAMELS-CZ: A catchment attribute database for hydrological and climatological studies using a large sample of catchments

  • Original language description

    Hydrological methods based on the analysis of data from a large sample of catchments with different characteristics (large-sample hydrology; comparative hydrology) allow a comprehensive analysis of the hydrological regime and thus a description of hydrological variability and change in the components of the water balance. These methods provide insight into hydrological processes shaped by environmental and climatic factors and allow more general conclusions to be drawn. However, besides climate and runoff data, catchment attributes, such as geology, soils, topography and vegetation, are essential for effective hydrological behaviour analysis. For these reasons, the global hydrological community has recently developed a number of freely available large-scale datasets known as CAMELS (Catchment Attributes and MEteorology for Large-sample Studies), which provide catchment attributes, as well as hydrological and meteorological time series, in a comparable structure at national scales. The aim of this contribution is to present the current state of preparation of the CAMELS database for Czechia (CAMELS-CZ) as a reference data platform for analysis and modelling, using a large sample of catchments.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    10501 - Hydrology

Result continuities

  • Project

    <a href="/en/project/SS02030040" target="_blank" >SS02030040: Prediction, Evaluation and Research for Understanding National sensitivity and impacts of drought and climate change for Czechia</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů