Hydrologic parameter sensitivity across a large-domain
2021
Larabi, Samah | Schnorbus, Markus A. | Mai, Juliane | Tolson, Bryan A.
Canada First Research Excellence Fund
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Показать больше [+] Меньше [-]Due to the computational demands of modelling large domains, model calibration of Land Surface Models (LSMs) typically involves adjustment of only a small subset of parameters. • Majority of parameters that can potentially contribute to the model output variance remain fixed/ hard coded. • Spatial variability of the parameter sensitivity over large domains with heterogenous climatic and physiographic conditions is largely ignored during the calibration process. This work, carried out for parts of the Fraser and Columbia river basins, explored how parameter sensitivity varies spatially with the dominant physical and climatic conditions, and how dominant model parameters change depending on the simulated hydrologic process. The study found that parameter sensitivity varies both geographically and with the process being simulated.
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Библиографическая информация
Эту запись предоставил University of Saskatchewan