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

Mai, Juliane

https://ror.org/01aff2v68

University of Waterloo

https://orcid.org/0000-0002-1132-2342

Shen, Hongren

https://ror.org/01aff2v68

University of Waterloo

https://orcid.org/0000-0002-5979-2159

Tolson, Bryan A.

https://ror.org/01aff2v68

University of Waterloo

https://orcid.org/0000-0002-3092-5536

Gaborit, Étienne

https://ror.org/026ny0e17

Environment and Climate Change Canada

https://orcid.org/0000-0002-9787-9124

Arsenault, Richard

https://ror.org/0020snb74

École de Technologie Supérieure

https://orcid.org/0000-0003-2834-2750

Craig, James R.

https://ror.org/01aff2v68

University of Waterloo

https://orcid.org/0000-0003-2715-7166

Fortin, Vincent

https://ror.org/026ny0e17

Environment and Climate Change Canada

https://orcid.org/0000-0002-2145-4592

Fry, Lauren M.

https://ror.org/02z5nhe81

National Oceanic and Atmospheric Administration

https://orcid.org/0000-0002-5480-5408

Gauch, Martin

https://ror.org/052r2xn60

Johannes Kepler University of Linz

https://orcid.org/0000-0002-4587-898X

Klotz, Daniel

https://ror.org/052r2xn60

Johannes Kepler University of Linz

https://orcid.org/0000-0002-9843-6798

Kratzert, Frederik

Google Research

https://orcid.org/0000-0002-8897-7689

O'Brien, Nicole

https://ror.org/026ny0e17

Environment and Climate Change Canada

Princz, Daniel G.

https://ror.org/026ny0e17

Environment and Climate Change Canada

https://orcid.org/0000-0001-9605-1184

Rasiya Koya, Sinan

https://ror.org/043mer456

University of Nebraska–Lincoln

Roy, Tirthankar

https://ror.org/043mer456

University of Nebraska–Lincoln

https://orcid.org/0000-0002-6279-8447

Seglenieks, Frank

https://ror.org/026ny0e17

Environment and Climate Change Canada

Shrestha, Narayan K.

https://ror.org/026ny0e17

Environment and Climate Change Canada

https://orcid.org/0000-0001-6292-7379

Temgoua, André G. T.

https://ror.org/026ny0e17

Environment and Climate Change Canada

Vionnet, Vincent

https://ror.org/026ny0e17

Environment and Climate Change Canada

https://orcid.org/0000-0002-9142-9739

Waddell, Jonathan W.

U.S. Army Corps of Engineers

2000-01-01/2017-12-31

2022-06-24

2022-06-24

2022-06-24

https://doi.org/10.20383/103.0598

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.

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.

Great Lakes

Streamflow

Actual Evapotranspiration

Surface Soil Moisture

Snow Water Equivalent

Hydrology

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

f163c1b3-9c88-42f6-a7bb-5839ed6c4063

/2/published/publication_593/

2022

Juliane Mai

Dataset

https://doi.org/10.5194/hess-26-3537-2022

40 -95 55 -70

Great Lakes watershed;-;-;-

Canada First Research Excellence Fund (CFREF)

Global Water Futures Program (GWF)

Canada First Research Excellence Fund (CFREF)

Integrated Modeling Program for Canada

RDF1050703

Earth and related environmental sciences

Hydrology

Surface water hydrology

Sciences de la Terre et sciences de l'environnement connexes

Hydrologie

Hydrologie de surface

More information about the individual files provided can be found in README.pdf