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Data sources and variables

The app accesses curated, validated datasets hosted on the Oceanum Datamesh. Data are served directly to the analysis engine — no manual download or pre-processing is required.

VariableSourcePeriodModel / dataset
Waves (global)Oceanum1979 – presentWAVEWATCH III 6.07 spectral wave model forced by ERA5 winds and sea ice (ECMWF). 0.5° resolution (~50 km), 3-hourly. Validated against Jason-2/3 and Sentinel-3 altimeters.
Waves (regional)OceanumVaries by regionHigh-resolution SWAN nested models for multiple regions worldwide (e.g. 5 km parent + 1 km coastal domains). ERA5-forced with tidal currents and spectral boundaries from the global WW3 model.
WindECMWF1940 – presentERA5 global atmospheric reanalysis. 10 m wind speed and direction at ~31 km resolution, 1-hourly.
CurrentsCopernicus1993 – presentGLORYS12 global ocean reanalysis (Mercator Ocean / CMEMS). Surface current speed and direction at 1/12° (~8 km) resolution, daily.
Air temperatureECMWF1940 – presentERA5 2 m air temperature global reanalysis. ~31 km resolution, 1-hourly.
Sea surface temperatureCopernicus2021 – presentOSTIA SST — Met Office L4 NRT blended satellite and in-situ observations (CMEMS product). 0.05° resolution (~5 km), daily.

All wave datasets are produced using third-generation spectral wave models and are calibrated against independent satellite altimeter observations. ERA5 and GLORYS12 are globally recognised reanalysis products routinely used for engineering, environmental and scientific applications.

The full list of available regional wave hindcast datasets is at datasets.oceanum.io.

  • Waves — significant wave height, wave period (Tp, Tm01, Tm02), wave direction, and sea/swell partitioning where spectral data are available.
  • Wind — wind speed and direction.
  • Currents — surface current speed and direction.
  • Air temperature - 2m air temperature.
  • Sea surface temperature (SST) - sea surface temperature.
CapabilityWhat it does
Summary statisticsMean, maximum, percentiles and descriptive statistics by directional sector.
Monthly / seasonal statisticsStatistics grouped by month and season to identify variability and seasonality.
Directional analysisWave, wind and current roses, directional bins and distributions.
Non-exceedance analysisProbability that a variable remains below selected thresholds, monthly and annual.
Return period extremesPOT-based extreme value estimates for user-selected return periods (e.g. 1, 10, 100 yr).
Workability / persistenceWindows where multi-variable conditions remain within user-defined criteria.