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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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 & 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