About MetOcean Studies Research
Forecasting Current Marine Data Software


Oceanweather Inc. is a specialized metocean consulting firm serving the coastal and ocean engineering communities since 1977. Our approach is to develop and apply high-level technology to satisfy practical requirements in marine meteorology, ocean wave and current specification, ocean engineering, and statistics of environmental data. Our services include atmospheric/oceanographic research, site-specific consulting/modeling, operational forecasting, and generation of long-term climatologies for operability and design in the marine environment.


News

  • New SEAFINE2 Hindcast

    Oceanweather (OWI) has started work on our second-generation South East Asia Fine hindcast (SEAFINE2) using new wind forcing and a unified grid setup (see figure below for the SEAFINE2 unified wind and wave model domain).  The original SEAFINE Joint Industry Project (JIP) was first launched in 2006 as a follow on to the SEAMOS, SUS and SOUP JIPs all produced by OWI. The hindcasts included detailed reanalysis of typhoons and monsoons in the Southern and Northern South China Seas and ocean response modeling for wind waves and 3-D currents.

    OWI’s initial efforts will be to produce an extension of the SEAFINE wind and wave deliverables for 2015-2019, and then extend the new modeling backwards to eventually replace the original SEAFINE results. 

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  • New Arctic Wave Forecast

    The Oceanweather Inc. (OWI) forecast group is now running an Arctic wave model domain covering 50N up to the North Pole, with a grid resolution of roughly 18 km. The model implements the parametric ice physics in WavewatchIII (WW3) using continuous and time-varying ice concentration inputs from the European Center for Medium Range Forecasting (ECMWF) forecast cycle. The wave model runs to a forecast horizon of 7 days, and outputs include fields of up to three wave trains. Full spectra points are available in addition to standard bulk wave parameters.

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  • Methodology: Using Storm Clustering to Identify Large Scale Events

    Identification of storm events in historical metocean data is a critical part of the derivation of return period extremes and in the understanding of harsh conditions experienced offshore. Peak conditions by variable (wind speed, wave height, current speed, etc.) stratified by forcing conditions (tropical, extra-tropical, monsoonal, etc.) and by direction are all typical requirements for operations and design of offshore structures. In order to develop design-level metocean hindcasts, Oceanweather faces the challenging task of reviewing and reanalyzing events over a large spatial and temporal domain to ensure peak conditions are well resolved and unbiased. To meet this challenge, a new storm clustering technique has been developed and applied in the latest Joint Industry Project: Brazil Offshore Meteorological and Oceanographic Study (BOMOS-2).

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