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The Lake Erie Operational Forecast System (LEOFS) has been implemented by NOAA's National Ocean Service (NOS) to provide the maritime user community with short-term predictions of water levels, water currents, and water temperatures of the Lake Erie.
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- Lake Erie Operational Forecast System
The Lake Erie Operational Forecast System (LEOFS) Oceanographic nowcast and forecast guidance are scientific predictions about the present and future states of a water body (generally including water levels, currents, water temperature and salinity).
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.,
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.
- pexue@mtu.edu
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.
- Shuqi Lin, Leon Boegman, Shiliang Shan, Ryan Mulligan
- 2021
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).
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Feb 16, 2022 · 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.