NOAA's Coastal Ocean Reanalysis (CORA) couples long-term water level observations with hydrodynamic modeling to create historical information between tide stations to bridge gaps in service and more equitably serve the Nation's coastal communities. CORA water levels are simulated with ADvanced CIRCulation (ADCIRC) for ocean circulation modeling and coupled with a phase-averaging model called Simulating WAves Nearshore (SWAN) to produce surface gravity wave spectra and account for time-averaged wave contributions. Coastal water level observations from NOAA's Center for Operational Oceanographic Products and Services (CO-OPS) National Water Level Observation Network (NWLON) are low-pass filtered and assimilated into the model to account for long-term sea level variability and to reduce model errors, and validate results. The domain of this reanalysis spans the Gulf of America, Atlantic (East), and Caribbean coastlines (or CORA-GEC). The reanalysis (1979-2022) was performed through the partnership of NOAA National Ocean Service (NOS) and University of North Carolina's (UNC) Institute of Marine Sciences and Renaissance Computing Institute (RENCI). This modeled dataset is meant to have secondary derived datasets including but not limited to daily maximums (daily maxes), monthly means, extremes and month high tide flooding predictions. In addition, the domain of the analysis will be expanded to the Pacific and the dataset to be included when it becomes available.