A process-based sensitivity guided calibration of the VIC model
2022
Schnorbus, Markus A. | Larabi, Samah
Canada First Research Excellence Fund
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Mostrar más [+] Menos [-]Application of Land surface models over large domains relies on calibration of parameters assumed to be consistently sensitive, although parameter sensitivity can vary spatially and by hydrologic process. In this study, the sensitivity of 44 parameters of the VIC model were evaluated over 5 basins with distinct hydroclimatic characteristics. The model is calibrated using a multi-objective framework with 5 objective functions evaluating streamflow, ET and snow cover area (SCA).
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