A process-based sensitivity guided calibration of the VIC model
Date
2022-05
Authors
Schnorbus, Markus A.
Larabi, Samah
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University of Victoria Pacific Climate Impacts Consortium
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Poster Presentation
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Abstract
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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Water research, Land surface models, Model calibration, Hydrological modelling, River basins, British Columbia, Streamflow, Snow cover
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Part Of
Global Water Futures Fifth Annual Open Science Meeting, 16-18 May 2022