Abstract. For enhanced public safety and water resource management, a
three-dimensional operational lake hydrodynamic forecasting system,
COASTLINES (Canadian cOASTal and Lake forecastINg modEl System), was
developed. 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 elevations and temperatures, in near-real time. COASTLINES also generates 240 h predictions using atmospheric
forcing from 15 and 25 km horizontal-resolution operational
meteorological products from the Environment Canada Global Deterministic
Forecast System (GDPS). Simulated water levels were validated against
observations from six gauge stations, with model error increasing with
forecast horizon. Satellite images and lake buoys were used to validate
forecast lake surface temperature and the water column thermal
stratification. The forecast lake surface temperature is as accurate as
hindcasts, with a root-mean-square deviation <2 ∘C.
COASTLINES predicted storm surges and up-/downwelling events that are
important for coastal flooding and drinking water/fishery management,
respectively. Model forecasts are available in real time at https://coastlines.engineering.queensu.ca/ (last access: January 2022). This study provides an example
of the successful development of an operational forecasting workflow,
entirely driven by open-access data, that may be easily adapted to simulate
aquatic systems or to drive other computational models, as required for
management and public safety.