Using a combination of both hindcast model data and satellite measurements of wind, wave and water level data BMT SMART provides detailed information on Metocean conditions worldwide.
Wind and Wave hindcast information:
BMT provides detailed information on Metocean conditions worldwide using a combination of both hindcast model data and satellite measurements of wind, wave and water levels.
BMT offers high quality environmental information using in house models. Using a 3rd generation wave model running on a global grid as well as on several regional grids for hindcast and forecast purposes.
All models provide 3-hourly time series of wave spectra and cover a period of at least 16 years, starting in 1992. The database is updated regularly to include the latest years of data.
As waves approach shore lines or enter shallow water areas their behaviour changes. To account for these changes BMT has developed an efficient way to transform offshore wave spectra to near shore and shallow water locations.
Using a combination of tidal and ocean current models, BMT provide combine current effects in ship performance. The models are based on approximately 5000 tidal stations and 20 years of satellite radar altimeter measurements into depth average tidal models.
Wind and Wave forecasts:
BMT provides detailed and accurate forecasts that allows our clients to anticipate changing weather conditions. Accurate wind and wave forecasts minimise risks and optimise efficiency of marine operations and transports.
To increase the accuracy of our services our models are calibrated using wave height measurement data from satellites and the wind field data used to drive the wave model are corrected with satellite scatterometer measurements.
BMT applies rigorous quality checks to all model simulations, and extensively validates the model data.
A reference domain over the North Sea has been validated using observations from ground stations, an offshore wind mast near the Dutch coast, and model data from ECMWF, as well as the Royal Dutch Meteorological Institute (KNMI).
Model data for other regions is validated against available observations, typically from ground weather stations and airports.
Validation results show good to excellent agreement in wind patterns, direction and strength, as well as other variables such as temperature, pressure and humidity.