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Testing sensitivity of BILAN and GR2M models to climate conditions in the Gambia River Basin

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F24%3A10486337" target="_blank" >RIV/00216208:11310/24:10486337 - isvavai.cz</a>

  • Alternative codes found

    RIV/60460709:41330/24:100798

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=v2_PuBDTiS" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=v2_PuBDTiS</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2478/johh-2023-0044" target="_blank" >10.2478/johh-2023-0044</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Testing sensitivity of BILAN and GR2M models to climate conditions in the Gambia River Basin

  • Original language description

    This study investigates the performance of two lumped hydrological models, BILAN and GR2M, in simulating runoff across six catchments in the Gambia River Basin (Senegal) over a 30-year period employing a 7-year sliding window under different climatic conditions. The results revealed differences in overall performance and variable sensitivity of the models to hydrological conditions and calibration period lengths, stemming from their different structure and complexity. In particular, the BILAN model, which is based on a more complex set of parameters, showed better overall results in simulating dry conditions, while the GR2M model had superior performance in wet conditions. The study emphasized the importance of the length of the calibration period on model performance and on the reduction of uncertainty in the results. Extended calibration periods for both models narrowed the range of the Kling-Gupta Efficiency (KGE) values and reduced the loss of performance during the parameter transfer from calibration to validation. For the BILAN model, a longer calibration period also significantly reduced the variability of performance metric values. Conversely, for the GR2M model, the variability rate did not decrease with the length of the calibration periods. Testing both models under variable conditions underscored the crucial role of comprehending model structure, hydrological sensitivity, and calibration strategy effects on simulation accuracy and uncertainty for reliable results.

  • 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

    10508 - Physical geography

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • 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

Data specific for result type

  • Name of the periodical

    Vodohospodářský časopis/Journal of Hydrology &amp; Hydromechanics

  • ISSN

    0042-790X

  • e-ISSN

    1338-4333

  • Volume of the periodical

    72

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    17

  • Pages from-to

    131-147

  • UT code for WoS article

    001163240300008

  • EID of the result in the Scopus database

    2-s2.0-85185194161