Now we are expanding our Data Portal again, with our new Gridded
Hydrologic Model Output Page, which provides access to gridded, high - resolution projections of hydrologic simulation data for four watersheds in British Columbia, generated at PCIC using the VIC hydrological model.
The provision of VIC
Hydrologic Model Output and Extreme Indices calculated from CMIP5 is under development.
Station
Hydrologic Model Output.
Gridded
Hydrologic Model Output.
No Warranty: The Gridded
Hydrologic Model Output is provided by the Pacific Climate Impacts Consortium with an open license on an «AS IS» basis without any warranty or representation, express or implied, as to its accuracy or completeness.
When referring to the Gridded
Hydrologic Model Output data retrieved from the website or found otherwise, the source must be clearly stated: Pacific Climate Impacts Consortium, University of Victoria, (Jan. 2014).
When referring to the Station
Hydrologic Model Output data retrieved from the website or found otherwise, the source must be clearly stated: Pacific Climate Impacts Consortium, University of Victoria, (Jan. 2014).
Not exact matches
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Output from the river system
model is being used to identify likely imbalances in water supply and demand as compared to past and existing operations under known climate and
hydrologic conditions.
Wood, A. W., L. R. Leung, V. Sridhar, and D. P. Lettenmaier, 2004:
Hydrologic implications of dynamical and statistical approaches to downscaling climate
model outputs (link is external).
Wood, A.W., L.R Leung, V. Sridhar, and D.P. Lettenmaier, 2004:
Hydrologic implications of dynamical and statistical approaches to downscaling climate
model outputs.
This
output was downscaled to 1/16 ° spatial resolution and daily temporal resolution to drive the Variable Infiltration Capacity
hydrologic model (VIC).
Thus, we extend the VIC ensemble using a computationally efficient statistical emulation
model, which approximates the combined
output of the two - step process of statistical downscaling and
hydrologic modeling, trained with the 23 member VIC ensemble.
Additionally, simulated
hydrologic changes from the GCM — BCSD - driven Variable Infiltration Capacity (VIC)
model were compared to the CRCM integrated Canadian Land Surface Scheme (CLASS)
output.
This study evaluates the
hydrologic prediction skill of a dynamical climate
model - driven
hydrologic prediction system (CM - HPS), based on an ensemble of statistically - downscaled
outputs from the Canadian Seasonal to Interannual Prediction System (CanSIPS).
Their work involved using a
hydrologic model that included a simple representation of glaciers, run by statistically - downscaled
output from global climate
models, in order to come up with projected changes to evaporation, precipitation, runoff, snow, soil moisture and temperature in the Canadian portion of the Columbia River Basin.