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

Author

Mai, Juliane, primary, Shen, Hongren, additional, Tolson, Bryan A., additional, Gaborit, Étienne, additional, Arsenault, Richard, additional, Craig, James R., additional, Fortin, Vincent, additional, Fry, Lauren M., additional, Gauch, Martin, additional, Klotz, Daniel, additional, Kratzert, Frederik, additional, O'Brien, Nicole, additional, Princz, Daniel G., additional, Rasiya Koya, Sinan, additional, Roy, Tirthankar, additional, Seglenieks, Frank, additional, Shrestha, Narayan K., additional, Temgoua, André G. T., additional, Vionnet, Vincent, additional, and Waddell, Jonathan W., additional

Published
2022
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6. The Great Lakes Runoff Intercomparison Project Phase 4: the Great Lakes (GRIP-GL)

Author

Mai, J., Shen, H. R., Tolson, B. A., Gaborit, E., Arsenault, R., Craig, J. R., Fortin, V., Fry, L. M., Gauch, M., Klotz, D., Kratzert, F., O'Brien, N., Princz, D. G., Koya, S. R., Roy, T., Seglenieks, F., Shrestha, N. K., Temgoua, A. G. T., Vionnet, V., Waddell, J. W., Mai, J., Shen, H. R., Tolson, B. A., Gaborit, E., Arsenault, R., Craig, J. R., Fortin, V., Fry, L. M., Gauch, M., Klotz, D., Kratzert, F., O'Brien, N., Princz, D. G., Koya, S. R., Roy, T., Seglenieks, F., Shrestha, N. K., Temgoua, A. G. T., Vionnet, V., and Waddell, J. W.

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 transboundary location, strong lake effects, and regions of strong human impact but is also one of the most densely populated areas in the USA 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 1×106 km2 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 the six predefined regions of the watershed. Unlike most hydrologically focused model intercomparisons, this study not only compares models regarding their capability to simulate 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. The main results of this study are as follows: The comparison of models regarding streamflow reveals the superior quality of the machine-learning-based model in the performance of all experiments; even for the most challenging spatiotemporal validation, the machine learning (ML) model outperforms any other physically based model. While the locally calibrated models lead to good performance in calibration and temporal validation (even outp

Published
2022

11. Supplementary material to "The Great Lakes Runoff Intercomparison Project Phase 4: The Great Lakes (GRIP-GL)"

Author

Mai, Juliane, primary, Shen, Hongren, additional, Tolson, Bryan A., additional, Gaborit, Étienne, additional, Arsenault, Richard, additional, Craig, James R., additional, Fortin, Vincent, additional, Fry, Lauren M., additional, Gauch, Martin, additional, Klotz, Daniel, additional, Kratzert, Frederik, additional, O'Brien, Nicole, additional, Princz, Daniel G., additional, Rasiya Koya, Sinan, additional, Roy, Tirthankar, additional, Seglenieks, Frank, additional, Shresta, Narayan K., additional, Temgoua, André G. T., additional, Vionnet, Vincent, additional, and Waddell, Jonathan W., additional

Published
2022
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18. The Great Lakes Runoff Intercomparison Project Phase 4: The Great Lakes (GRIP-GL).

Author

MaiF, Juliane, ShenF, Hongren, TolsonF, Bryan A., GaboritF, Étienne, Arsenault, Richard, Craig, James R., Fortin, Vincent, Fry, Lauren M., Gauch, Martin, Klotz, Daniel, Kratzert, Frederik, O’Brien, Nicole, Princz, Daniel G., Koya, Sinan Rasiya, Roy, Tirthankar, Seglenieks, Frank, Shrestha, Narayan K., Temgoua, André G. T., Vionnet, Vincent, and Waddell, Jonathan W.

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. [ABSTRACT FROM AUTHOR]

Published
2022
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20. A doctor's view of 'opportunity to survive': Fulton's assumptions and math are wrong.

Author

Waddell, Roy W.

Subjects
Burden of proof -- Laws, regulations and rules, Event history analysis -- Laws, regulations and rules, Medical personnel -- Malpractice, Medical personnel -- Laws, regulations and rules, Fulton v. William Beaumont Hospital (655 N.W.2d 569 (Mich. Ct. App. 2002)), Government regulation, Michigan. Compiled Laws (Mich. Comp. Laws 600.2912a(2))
Published
2007

21. Views

Author

Stockell, Henry C., Marlin, James J., DiMatteo, Tony, Oleck, Howard L., Conrad, Robert, Hawkins, Prince A., Cohen, Hyman J., Forde, George S., Greenwade, P. Rowland, Lunch, Milton F., Kreindel, Burton, Waddell, Ward W., and Scanlon, Thomas W.

Published
1983

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