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The Great Lakes Runoff Intercomparison Project Phase 4: The Great Lakes (GRIP-GL)

Description: Abstract: Model intercomparison studies are carried out to test and compare the simulated outputs of various model setups over the same study domain. The Great Lakes region is such a domain of high public interest as it not only resembles a challenging region to model with its trans-boundary location, strong lake effects, and regions of strong human impact but is also one of the most densely populated areas in the United States and Canada. This study brought together a wide range of researchers setting up their models of choice in a highly standardized experimental setup using the same geophysical datasets, forcings, common routing product, and locations of performance evaluation across the 1 million square kilometer study domain. The study comprises 13 models covering a wide range of model types from Machine Learning based, basin-wise, subbasin-based, and gridded models that are either locally or globally calibrated or calibrated for one of each of six predefined regions of the watershed. Unlike most hydrologically focused model intercomparisons, this study not only compares models regarding their capability to simulated streamflow (Q) but also evaluates the quality of simulated actual evapotranspiration (AET), surface soil moisture (SSM), and snow water equivalent (SWE). The latter three outputs are compared against gridded reference datasets. The comparisons are performed in two ways: either by aggregating model outputs and the reference to basin-level or by regridding all model outputs to the reference grid and comparing the model simulations at each grid-cell.

Citation (Journal Publication):
Mai, J., Shen, H., Tolson, B. A., Gaborit, É., Arsenault, R., Craig, J. R., Fortin, V., Fry, L. M., Gauch, M., Klotz, D., Kratzert, F., O'Brien, N., Princz, D. G., Rasiya Koya, S., Roy, T., Seglenieks, F., Shrestha, N. K., Temgoua, A. G. T., Vionnet, V., and Waddell, J. W. (2022).
The Great Lakes Runoff Intercomparison Project Phase 4: The Great Lakes (GRIP-GL)
Hydrol. Earth Syst. Sci. https://doi.org/10.5194/hess-2022-113

Citation (Data Publication):
Mai, J., Shen, H., Tolson, B. A., Gaborit, É., Arsenault, R., Craig, J. R., Fortin, V., Fry, L. M., Gauch, M., Klotz, D., Kratzert, F., O'Brien, N., Princz, D. G., Rasiya Koya, S., Roy, T., Seglenieks, F., Shrestha, N. K., Temgoua, A. G. T., Vionnet, V., and Waddell, J. W. (2022).
The Great Lakes Runoff Intercomparison Project Phase 4: The Great Lakes (GRIP-GL)
FRDR. https://doi.org/10.20383/103.0598

Datasets: There are two categories of GRIP-GL datasets available. Part A includes all the data that original study participants were provided with in order to train/calibrate their model. Part B are request-only data associated with performing blind model validation. Users can access Part A at any time but, as described below, users can only be granted access to Part B of the dataset after they have accessed Part A.

More information is provided in the README.pdf attached.
Notes: More information about the individual files provided can be found in README.pdf
Authors: Mai, Juliane; University of Waterloo; https://orcid.org/0000-0002-1132-2342 ORCID iD
Shen, Hongren; University of Waterloo; https://orcid.org/0000-0002-5979-2159 ORCID iD
Tolson, Bryan A.; University of Waterloo; https://orcid.org/0000-0002-3092-5536 ORCID iD
Gaborit, Étienne; Environment and Climate Change Canada; https://orcid.org/0000-0002-9787-9124 ORCID iD
Arsenault, Richard; École de Technologie Supérieure; https://orcid.org/0000-0003-2834-2750 ORCID iD
Craig, James R.; University of Waterloo; https://orcid.org/0000-0003-2715-7166 ORCID iD
Fortin, Vincent; Environment and Climate Change Canada; https://orcid.org/0000-0002-2145-4592 ORCID iD
Fry, Lauren M.; National Oceanic and Atmospheric Administration; https://orcid.org/0000-0002-5480-5408 ORCID iD
Gauch, Martin; Johannes Kepler University of Linz; https://orcid.org/0000-0002-4587-898X ORCID iD
Klotz, Daniel; Johannes Kepler University of Linz; https://orcid.org/0000-0002-9843-6798 ORCID iD
Kratzert, Frederik; Google Research; https://orcid.org/0000-0002-8897-7689 ORCID iD
O'Brien, Nicole; Environment and Climate Change Canada
Princz, Daniel G.; Environment and Climate Change Canada; https://orcid.org/0000-0001-9605-1184 ORCID iD
Rasiya Koya, Sinan; University of Nebraska–Lincoln
Roy, Tirthankar; University of Nebraska–Lincoln; https://orcid.org/0000-0002-6279-8447 ORCID iD
Seglenieks, Frank; Environment and Climate Change Canada
Shrestha, Narayan K.; Environment and Climate Change Canada; https://orcid.org/0000-0001-6292-7379 ORCID iD
Temgoua, André G. T.; Environment and Climate Change Canada
Vionnet, Vincent; Environment and Climate Change Canada; https://orcid.org/0000-0002-9142-9739 ORCID iD
Waddell, Jonathan W.; U.S. Army Corps of Engineers
Keywords: Great Lakes
Streamflow
Actual Evapotranspiration
Surface Soil Moisture
Snow Water Equivalent
Hydrology
Field of Research: 
Earth and related environmental sciences
>
Hydrology
>
Surface water hydrology
Date: 2022-06-24
Related Identifiers: 
Geographic Coverage: 
Place Name
Great Lakes watershed
Geolocation Box: 
West Longitude
-95
East Longitude
-70
North Latitude
55
South Latitude
40
Appears in Collections:Water Institute

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Access to this dataset is subject to the following terms:
This dataset is made available under a custom license. Most of the data files are available under the Creative Commons Attribution 4.0 (CC BY 4.0) License, however a subset of data files are available under the Creative Commons Attribution-NonCommercial 4.0 (CC BY NC 4.0) License. All code is available under the GNU General Public Licence, v3. Please see the appended LICENSE.txt file for the full terms of use. https://doi.org/10.20383/103.0598
Citation
Mai, J. , Shen, H. , Tolson, B. , Gaborit, É. , Arsenault, R. , Craig, J. , Fortin, V. , Fry, L. , Gauch, M. , Klotz, D. , Kratzert, F. , O'Brien, N. , Princz, D. , Rasiya Koya, S. , Roy, T. , Seglenieks, F. , Shrestha, N. , Temgoua, A. , Vionnet, V. , Waddell, J. (2022) The Great Lakes Runoff Intercomparison Project Phase 4: The Great Lakes (GRIP-GL). Federated Research Data Repository. https://doi.org/10.20383/103.0598