Minimize Build SST and All Other Variables
SST is the main variable output from this section. Thanks to the previous section "build L2p flag", each pixel can be treated by a specific algorithm.
The other variables are:
  • The SST theoretical error: an experimental field containing an estimate of the product error derived from a combination of the contribution of measurement noise to retrieved SST, the uncertainty in bias introduced by water vapour loading over the measurement pixel and uncertainty in bias due to the proximity of cloud and land to the pixel
  • The quality level providing an indicator of the overall quality of an SST measurement
  • The SSES bias and standard deviation variables derived from an analysis over several months of the difference between the L2P SST and a reference SST field (typically drifting buoys)
  • The difference dt_analysis between the L2P SST and a reference SST field. It may be used to indicate potential areas of diurnal variability or gross outliers in the L2 input SST measurement data set by looking for large deviations from the previous analysis SST data)
  • The offset of the wind speed synoptic time with respect to the sea surface temperature measurement time and an estimate of the 10 m wind speed from the meteorological dataset u and v wind component variables
  • The offset of the sea-ice fraction measurement time with respect to sea surface measurement time and an interpolation of the sea-ice fraction variable from the tie-point grid onto the nadir output grid
  • The offset of the aerosol dynamic indicator measurement time with respect to the sea surface measurement time and its value. This particular sub-section implements the ATSR Saharan Dust Index scheme. A two-channel dual view algorithm (SDI2) is implemented in the swath centre and a three-channel single view algorithm (SDI3) is implemented in the swath wings where no sun glint is expected to be present.
  • The satellite zenith angle interpolated from Level-1 product