Articles | Volume 21, issue 9
https://doi.org/10.5194/hess-21-4825-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-4825-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A hydrological prediction system based on the SVS land-surface scheme: efficient calibration of GEM-Hydro for streamflow simulation over the Lake Ontario basin
Étienne Gaborit
CORRESPONDING AUTHOR
Environment Canada, Environmental Numerical Prediction Research
(E-NPR), Dorval, H9P1J3, Canada
Vincent Fortin
Environment Canada, Environmental Numerical Prediction Research
(E-NPR), Dorval, H9P1J3, Canada
Xiaoyong Xu
University of Waterloo, Civil and Environmental Engineering Dpt.,
Waterloo, N2L3G1, Canada
Frank Seglenieks
Environment Canada, Boundary Water Issues, Burlington, L7S1A1, Canada
Bryan Tolson
University of Waterloo, Civil and Environmental Engineering Dpt.,
Waterloo, N2L3G1, Canada
Lauren M. Fry
U.S. Army Corps of Engineers, Detroit District, Great Lakes Hydraulics
and Hydrology Office, Detroit, MI 48226, USA
Tim Hunter
NOAA Great Lakes Environmental Research Laboratory (GLERL), Ann Arbor,
MI 48108, USA
François Anctil
Civil and Water Engineering department, Université Laval,
Québec, G1V0A6, Canada
Andrew D. Gronewold
NOAA Great Lakes Environmental Research Laboratory (GLERL), Ann Arbor,
MI 48108, USA
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- Application of Global Environmental Multiscale (GEM) Numerical Weather Prediction (NWP) Model for Hydrological Modeling in Mountainous Environment P. Gilewski 10.3390/atmos13091348
- Advances in modelling large river basins in cold regions with Modélisation Environmentale Communautaire—Surface and Hydrology (MESH), the Canadian hydrological land surface scheme H. Wheater et al. 10.1002/hyp.14557
- Evaluating Estimates of Channel Flow in a Continental-Scale Lake-Dominated Basin F. Quinn et al. 10.1061/(ASCE)HY.1943-7900.0001685
- Toward an Operational Water Cycle Prediction System for the Great Lakes and St. Lawrence River D. Durnford et al. 10.1175/BAMS-D-16-0155.1
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25 citations as recorded by crossref.
- The Great Lakes Runoff Intercomparison Project Phase 4: the Great Lakes (GRIP-GL) J. Mai et al. 10.5194/hess-26-3537-2022
- BasinMaker 3.0: A GIS toolbox for distributed watershed delineation of complex lake-river routing networks M. Han et al. 10.1016/j.envsoft.2023.105688
- Assessing the factors governing the ability to predict late-spring flooding in cold-region mountain basins V. Vionnet et al. 10.5194/hess-24-2141-2020
- Hydrological performance of ERA5 and MERRA-2 precipitation products over the Great Lakes Basin X. Xu et al. 10.1016/j.ejrh.2021.100982
- A 10 km North American precipitation and land-surface reanalysis based on the GEM atmospheric model N. Gasset et al. 10.5194/hess-25-4917-2021
- Evaluation of the Soil, Vegetation, and Snow (SVS) Land Surface Model for the Simulation of Surface Energy Fluxes and Soil Moisture under Snow-Free Conditions G. Leonardini et al. 10.3390/atmos11030278
- Impact of Climate Change on the Frequency of Dynamic Breakup Events and on the Risk of Ice-Jam Floods in Quebec, Canada B. Turcotte et al. 10.3390/w12102891
- Using the maximum entropy production approach to integrate energy budget modelling in a hydrological model A. Maheu et al. 10.5194/hess-23-3843-2019
- Developing a stochastic hydrological model for informing lake water level drawdown management X. He et al. 10.1016/j.jenvman.2023.118744
- Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E) J. Mai et al. 10.1061/(ASCE)HE.1943-5584.0002097
- A field evaluation of soil moisture modelling with the Soil, Vegetation, and Snow (SVS) land surface model using evapotranspiration observations as forcing data A. Maheu et al. 10.1016/j.jhydrol.2018.01.065
- Combining large-scale and regional hydrological forecasts using simple methods N. Fontaine et al. 10.1080/07011784.2023.2265893
- Hydrological assessment of meteorological network density through data assimilation simulation K. Abbasnezhadi et al. 10.1016/j.jhydrol.2018.12.027
- New Transboundary Hydrographic Data Set for Advancing Regional Hydrological Modeling and Water Resources Management L. Mason et al. 10.1061/(ASCE)WR.1943-5452.0001073
- On the implementation of the dynamically zoned target release reservoir model in the GEM-Hydro streamflow forecasting system É. Gaborit et al. 10.1139/cjce-2021-0507
- Snow Level From Post‐Processing of Atmospheric Model Improves Snowfall Estimate and Snowpack Prediction in Mountains V. Vionnet et al. 10.1029/2021WR031778
- A Tug‐of‐War Within the Hydrologic Cycle of a Continental Freshwater Basin A. Gronewold et al. 10.1029/2020GL090374
- Comparing the Hydrological Responses of Conceptual and Process-Based Models with Varying Rain Gauge Density and Distribution Z. Yin et al. 10.3390/su10093209
- 100 Years of Progress in Hydrology C. Peters-Lidard et al. 10.1175/AMSMONOGRAPHS-D-18-0019.1
- Ensemble flood forecasting: Current status and future opportunities W. Wu et al. 10.1002/wat2.1432
- Application of Global Environmental Multiscale (GEM) Numerical Weather Prediction (NWP) Model for Hydrological Modeling in Mountainous Environment P. Gilewski 10.3390/atmos13091348
- Advances in modelling large river basins in cold regions with Modélisation Environmentale Communautaire—Surface and Hydrology (MESH), the Canadian hydrological land surface scheme H. Wheater et al. 10.1002/hyp.14557
- Evaluating Estimates of Channel Flow in a Continental-Scale Lake-Dominated Basin F. Quinn et al. 10.1061/(ASCE)HY.1943-7900.0001685
- Toward an Operational Water Cycle Prediction System for the Great Lakes and St. Lawrence River D. Durnford et al. 10.1175/BAMS-D-16-0155.1
- Evaluation of variability among different precipitation products in the Northern Great Plains X. Xu et al. 10.1016/j.ejrh.2019.100608
Latest update: 11 Oct 2024
Short summary
The work presents an original methodology for optimizing streamflow simulations with the distributed hydrological model GEM-Hydro.
While minimizing the computational time required for automatic calibration, the approach allows us to end up with a spatially coherent and transferable parameter set. The GEM-Hydro model is useful because it allows simulation of all physical components of the hydrological cycle in every part of a domain.
It proves to be competitive with other distributed models.
The work presents an original methodology for optimizing streamflow simulations with the...