Reservoir Storage-Yield Analysis under the Uncertainty of Climate Change
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F21%3APU142191" target="_blank" >RIV/00216305:26110/21:PU142191 - isvavai.cz</a>
Result on the web
<a href="https://kmo.shmu.sk/media/files/2021/VH/Bednar_Martin-Reservoir_Storage_Yield_Analysis_under_the_Uncertainty_of_Climate_Change.pdf" target="_blank" >https://kmo.shmu.sk/media/files/2021/VH/Bednar_Martin-Reservoir_Storage_Yield_Analysis_under_the_Uncertainty_of_Climate_Change.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Reservoir Storage-Yield Analysis under the Uncertainty of Climate Change
Original language description
This paper will present a lumped water balance rainfall-runoff hydrological model within a monthly timestep. The model is based on mean monthly soil moisture and runoff in a river catchment. The estimate of potential evapotranspiration is computed using the Thornthwaite method. The model is then used to process climatological data containing uncertainty of climate change, which is represented by an ensemble of future climatological scenarios generated for the period between 2021 and 2060. These scenarios were generated by LARS WG software.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10503 - Water resources
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů