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1. gmd.copernicus.org › preprints › gmd-2021-34An automatic lake-model application using near real-time data ...

   gmd.copernicus.org › preprints › gmd-2021-34

   We provide an overview of the COASTLINES system, including model implementation for Lake Erie 74 (Section 2 Data and methods) and the accuracy of COASTLINES in forecasting water levels and temperature fields

2. gmd.copernicus.org › preprints › gmd-2021-34An automatic lake -model application using near real -time ...

   gmd.copernicus.org › preprints › gmd-2021-34

   63 In the present study we develop a pilot operational lake forecasting system for Lake Erie. The system is called. 64 COASTLINES (Canadian cOASTal and Lake forecastINg modEl System) and it uses Python-based wrapper code, ilable real-time data to execute a hydrodynamic lake model and produc.

   • Author: Shuqi Lin, Leon Boegman, Shiliang Shan, Ryan Mulligan

   • Publish Year: 2021

3. borealisdata.ca › datasetAn automatic lake-model application using near real-time data ...

   borealisdata.ca › dataset

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   Jun 22, 2021 · Description. This dataset includes model source code from An automatic lake-model application using near real-time data forcing: Development of an operational forecast model for Lake Erie. Subject. Engineering. Related Publication. Lin, S., Boegman, L., Shan, S., and Mulligan, R.P.,

4. gmd.copernicus.org › articles › 15GMD - An automatic lake-model application using near-real ...

   gmd.copernicus.org › articles › 15

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   Feb 16, 2022 · The modeling system is built upon the three-dimensional Aquatic Ecosystem Model (AEM3D) model, with predictive simulation capabilities developed and tested for a large lake (i.e., Lake Erie). The open-access workflow derives model forcing, code execution, post-processing, and web-based visualization of the model outputs, including water level ...

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5. www.researchgate.net › publication › 350468247_An(PDF) An automatic lake-model application using near real ...

   www.researchgate.net › publication › 350468247_An

   Mar 29, 2021 · The modelling system is built upon the Aquatic Ecosystem Model (AEM3D) model, with predictive simulation capabilities developed and tested for a large lake (i.e., Lake Erie).

6. www.mtu.edu › news › 2020Where Modeling Meets Observations: Improving the Great Lakes ...

   www.mtu.edu › news › 2020

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   Sep 10, 2020 · Model results are being used to build a long-term, data assimilative temperature database for Lake Erie for use by resource managers and researchers in the Great Lakes community. The Lake Erie simulation is a proof of concept prior to GLOFS being entirely refitted using data assimilation.

7. People also ask

   What is a hindcast model of Lake Erie?

   • In the hindcast models, Liu et al. (2014) applied uniform Lake Erie meteorological forcing over four zones and Valipour et al. (2019) utilized six zones, each spanning ∼ 100 km. These included land-based observations, when there was no available lake buoy data, which induce error, especially in large shallow lakes (Hamblin, 1987).

   GMD - An automatic lake-model application using near-real-time data

   gmd.copernicus.org/articles/15/1331/2022/

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   Does a 15 km GDPs model predict mesoscale upwelling in Lake Erie?

   • The meteorological forecast from the 15 and 25 km GDPS models did not show discrepancies (Figs. C2–C5) and the evaluation metrics indicate that forecast results were largely insensitive to the meteorological inputs in Lake Erie (Figs. 3, 7). However, the 15 km model better predicted the mesoscale upwelling event (Figs. 8, 9, D2).

   GMD - An automatic lake-model application using near-real-time data

   gmd.copernicus.org/articles/15/1331/2022/

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   Why does Lake Erie have a high water level?

   • Due to its shallowness and long fetch aligned with the predominant southwest winds (Hamblin, 1979), Lake Erie has the largest daily range of water level amongst the Great Lakes (Trebitz, 2006); these water level fluctuations are mainly due to storm surges and surface seiches (Mortimer, 1987).

   GMD - An automatic lake-model application using near-real-time data

   gmd.copernicus.org/articles/15/1331/2022/

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   What is a bathymetric map of Lake Erie?

   • 91 Fig.1 Map of Lake Erie showing the bathymetric depths and observation sites. The bathymetric map is at the 92 resolution of the 500 m grid applied in the model. The western, central, and eastern basins are labeled as WB, 93 CB, and EB, respectively. Blue circles indicate lake buoys and black squares indicate water level gauges.

   An automatic lake -model application using near real -time data forcing

   gmd.copernicus.org/preprints/gmd-2021-34/gmd-2021-34.pdf

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   Can a black-box hydrodynamic driver be used as an operational forecast tool?

   • We developed an operational forecast system, COASTLINES, using the Windows Task Scheduler, Python-based data scrapping/formatting, and MATLAB data processing scripts, to automate application of a black-box hydrodynamic driver (AEM3D) to Lake Erie as an operational forecast tool.

   GMD - An automatic lake-model application using near-real-time data

   gmd.copernicus.org/articles/15/1331/2022/

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   Can a physical based Lake model improve winter climate forecasts?

   • Lv, Z., Zhang, S., Jin, J., Wu, Y., and Ek, M. B.: Coupling of a physically based lake model into the climate forecast system to improve winter climate forecasts for the Great Lakes region, Clim.

   GMD - An automatic lake-model application using near-real-time data

   gmd.copernicus.org/articles/15/1331/2022/

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8. phys.org › news › 2020-09-great-lakesWhere modeling meets observations: Improving the Great Lakes ...

   phys.org › news › 2020-09-great-lakes

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   Sep 11, 2020 · These forecasts comprise the Great Lakes Operational Forecast System (GLOFS), an automated model-based prediction system operated by the National Oceanic and Atmospheric Administration (NOAA).