Generated by GPT-5-mini| WaveWatch III | |
|---|---|
| Name | WaveWatch III |
| Developer | National Oceanic and Atmospheric Administration National Weather Service NOAA Environmental Modeling Center |
| Latest release | 5.18 (example) |
| Written in | Fortran, C |
| Operating system | Unix-like Linux macOS Windows |
| Genre | Ocean wave model |
| License | Open-source / proprietary options |
| Website | NOAA model pages |
WaveWatch III WaveWatch III is a third-generation ocean wave model developed for operational and research forecasting of wind-generated waves and swell across global and regional basins. The model integrates atmospheric forcing from numerical weather prediction systems such as Global Forecast System and European Centre for Medium-Range Weather Forecasts with oceanographic analyses from NOAA National Centers for Environmental Prediction and coupling frameworks like Earth System Modeling Framework to predict wave spectra, significant wave height, and directional energy. It supports diverse applications in maritime safety involving agencies including United States Coast Guard, International Maritime Organization, and scientific programs such as World Meteorological Organization modelling initiatives.
WaveWatch III originated from development efforts at NOAA and cooperating institutions including University of Washington and Science Applications International Corporation. Early conceptual roots draw on spectral formulations used in models like WAM model and predecessors implemented at Met Office and Institute of Ocean Sciences. Over successive releases the project incorporated contributions from Naval Research Laboratory, Scripps Institution of Oceanography, and international partners in Japan Meteorological Agency, Environment and Climate Change Canada, and European Space Agency scatterometer retrieval programs. Operational deployment expanded from basin-scale research runs to global operational fields used by National Weather Service forecast centers and regional agencies such as National Oceanic and Atmospheric Administration National Ocean Service operations. Milestones include coupling with the NOAA Integrated Ocean Observing System and incorporation into multi-model ensembles used in projects led by Intergovernmental Panel on Climate Change-related research and marine hazard initiatives like Tsunami Warning Center workflows.
WaveWatch III implements a spectral action density balance equation adapted from third-generation formulations established by research groups at European Centre for Medium-Range Weather Forecasts and Danish Meteorological Institute. Physical source terms encompass wind input parameterizations derived from observations by National Aeronautics and Space Administration scatterometers and buoy networks maintained by National Data Buoy Center, nonlinear wave–wave interactions modeled with approaches influenced by work at Potsdam Institute for Climate Impact Research and Waves and Turbulence Laboratory formulations, and dissipation parameterizations informed by laboratory studies at Scripps Institution of Oceanography and Woods Hole Oceanographic Institution. Bathymetric and shallow-water processes utilize triad interactions and bottom friction schemes similar to those used in coastal models developed at DHI Group and US Army Corps of Engineers research centers. The model supports directional spreading, wave-current interaction coupling with ocean circulation models such as ROMS and HYCOM, and sea-ice effects leveraging parameterizations aligned with National Snow and Ice Data Center and European Centre for Medium-Range Weather Forecasts ice models.
Numerically, the code uses finite-difference and finite-volume discretizations on spherical and Cartesian grids, with spectral decomposition across frequency and directional bins informed by methods from Numerical Recipes traditions and advances at Los Alamos National Laboratory. Nonlinear interaction calculations offer choices between exact Boltzmann integral solvers and approximations like the Discrete Interaction Approximation influenced by work at Institute of Numerical Mathematics. Parallelization strategies employ MPI and OpenMP patterns developed in collaboration with Argonne National Laboratory and tested on high-performance computing resources at National Center for Atmospheric Research and Oak Ridge National Laboratory. Data assimilation and boundary condition modules interface with formats standardized by Open Geospatial Consortium conventions and leverage gridded datasets from General Bathymetric Chart of the Oceans and observational streams from Global Drifter Program buoys. Implementation also integrates with workflow tools such as Earth System Prediction Suite and community frameworks like Common Community Physics Package.
WaveWatch III underpins operational forecasts for coastal warning agencies including National Weather Service forecast offices and maritime services used by Port Authority of New York and New Jersey and international counterparts like Met Éireann. Applications span maritime route planning for commercial fleets regulated by International Maritime Organization guidelines, offshore wind farm site assessments coordinated with Bureau of Ocean Energy Management, oil platform operations in coordination with Bureau of Safety and Environmental Enforcement, and renewable energy resource estimation for companies such as Ørsted and Vattenfall. Scientific use includes integration into hindcasts supporting Intergovernmental Panel on Climate Change regional impact studies, coupling into tsunami propagation systems at Pacific Tsunami Warning Center, and assimilation experiments conducted by research groups at University of Miami and University of Southampton.
Validation campaigns compare model output against in situ observations from National Data Buoy Center, satellite altimeters from missions like TOPEX/Poseidon, Jason-1, Jason-2, and scatterometer winds from QuikSCAT, and stereo camera networks deployed by programs at Plymouth Marine Laboratory. Intercomparison studies benchmark WaveWatch III against models such as WAVEWATCH, SWAN, and proprietary systems used by Fugro and MET Norway, reporting metrics for bias, RMSE, and correlation for significant wave height and peak period. Performance tuning uses calibration datasets from Global Ocean Observing System and reanalysis products such as ERA-Interim and MERRA-2. Computational scaling assessments are performed on supercomputers at National Energy Research Scientific Computing Center and validated through community test cases maintained by World Meteorological Organization modelling working groups.
Development is coordinated through contributors at NOAA, academic partners including University of Rhode Island and University of California, San Diego, and contractors like Science Applications International Corporation. Licensing permits community access under open-source terms for many components, while certain third-party libraries follow separate licenses used by institutions such as Argonne National Laboratory and CERN. The user community contributes modules, bug reports, and case studies via collaborative platforms associated with GitHub-style repositories and workshops sponsored by World Meteorological Organization and OceanObs conferences. Training and documentation efforts are supported by National Oceanic and Atmospheric Administration training centers and university courses at institutions like Massachusetts Institute of Technology and University of Washington.
Category:Ocean models