They consist in synoptic fields of various geophysical quantities at regular space/time resolutions, depending on each sensor's sampling pattern. Estimating these gridded value-added products requires :
- mapping the swath data over a regular grid
- estimating new geophysical quantities by merging data from different sensors
- using accurate spatio-temporal re-sampling methods (averaging, objective analysis, data merging,...) to average where overlap occurs and interpolate (over the gaps)
The gridded product are much more easier and practical to handle than swath products :
- global long-term homogeneous and consistent temporal series of geophysical parameters
- not depending on the sequential acquisition along the sensor swath
- lower volume of data
Available gridded products at CERSAT include global mean wind fields, sea-ice maps, radar backscatter over land.
These products are intended to provide users with easy-to-use regular grids of geophysical parameters, computed from satellite observations. They are more practical than swath products, since they avoid the user to cope with the sensor's sampling pattern, data gaps or overlaps, etc... Data and detailed description are available, for each product, through the related section.