Seewater

ONLINE CATALOGUE AND PRODUCT ACCESS

SEEWATER

SEEWATER is a state-of-the-art web portal to display and download daily, fine-scale information about the physical ocean – capitalizing on CLS oceanographic expertise.

SEEWATER provides a single entry point for ocean and weather data accessible via open data websites (Copernicus Marine Service, Climate Change Service, etc) and provides an intuitive, easy-to-use interface for displaying in-situ data with satellite observations of the physical ocean.

Why use SEEWATER?

  • Display and download a large catalogue of data
  • Use SEEWATER to visualize meteorological, oceanographic and continental water data.
  • NetCdf CF data can be added to allow interactive visualization of 2D and 1D data
SEEWATER
Screenshot shows along-track sea level anomalies with global mean sea level and precipitation data

Create and download your own graphs or datasets

  • SEEWATER allows time series extraction of  each displayed layer
SEEWATER
SEEWATER allows time series extraction of each displayed layer
  • SEEWATER allows the extraction of a data subset with a selection on geospatial and temporal dimensions to download only the area of interest
SEEWATER
SEEWATER allows extraction of a data subset with a selection on geospatial, temporal and variable to download only its data of interest

Simple and intuitive time coverage selection

Viewing simultaneous multiple layers implies that the user can easily figure out the temporal coverage of each layer. The time coverage selection is possible through a time line, years, months and days (temporal coverage available can exceed 30 years).

SEEWATER
Screenshot shows along-track sea level anomalies with global mean sea level and precipitation data

View in-situ data

Select platform types and parameters to view. Users choose between a number of options including Virtual station, Moring, Argo, Drifter, Depths, Salinity, …. SEEWATER is a key tool making it possible to view and download in situ data trajectories with contextual environmental data. Users can correlate trajectories with a number of visualized data layers.

SEEWATER
Screenshot shows trajectories of in-situ platforms super-imposed on sea level anomaly data.