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Impact of missing precipitation values on hydrological model output: a case study from the Eddleston Water catchment, Scotland

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F20%3AA21024IO" target="_blank" >RIV/61988987:17310/20:A21024IO - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/article/10.1007/s11600-020-00409-0" target="_blank" >https://link.springer.com/article/10.1007/s11600-020-00409-0</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11600-020-00409-0" target="_blank" >10.1007/s11600-020-00409-0</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Impact of missing precipitation values on hydrological model output: a case study from the Eddleston Water catchment, Scotland

  • Original language description

    A hydrological model was applied to select the best infilling method of missing precipitation (1) and to assess the impact of the length of deleted and filled precipitation data (2). The model was calibrated and validated using the hourly observed discharges from two gauges located in the outlet of the catchment (62.34 km(2)) and in the inner sub-catchment (2.05 km(2)). Precipitation from four gauges was spatially interpolated over the overall catchment, while the sub-catchment used the precipitation from one gauge. Four scenarios of different lengths of deletion within three high-intensity events were established in the data of this gauge. Three infilling methods were applied and compared: substitution, linear regression and inverse distance weighting (IDW). Substitution showed the best results, followed by linear regression and IDW in both scales. Differences between methods were significant only in 8.3% and 19.4% of all cases (sub-catchment and catchment, respectively). The impact of length was assessed using the substitution only and by comparing differences in discharges and performance statistics caused by four scenarios. Higher differences in discharges were found on the catchment scale compared to the inner sub-catchment and were insignificant for all events and scenarios. The hypothesis that a longer length of deleted and filled data would lead to a greater error in discharges was wrong for 11.1% and 16.7% of all cases (sub-catchment and catchment, respectively). In several cases (33.4% sub-catchment, 27.1% catchment), the model produced better results using the time series with filled gaps compared to the configuration with observed data.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10501 - Hydrology

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    ACTA GEOPHYS

  • ISSN

    1895-6572

  • e-ISSN

  • Volume of the periodical

    68

  • Issue of the periodical within the volume

    April

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    8

  • Pages from-to

    565-576

  • UT code for WoS article

    000516935900001

  • EID of the result in the Scopus database