The application discloses a cross-dimension multi-source
satellite altimeter sea level anomaly joint
estimation method and
system, and relates to the field of ocean
remote sensing.The joint
estimation method comprises the following steps: obtaining multi-source
observation data of a target sea area about a target period, forming a corrected joint
observation data set through cross-dimension
data processing and reconstruction operation and bias correction operation, and mapping the corrected joint
observation data set to a corresponding regular space-time grid of the target sea area; based on a preset space-time search
radius, constructing an observation operator, a background
covariance matrix and an observation error
covariance matrix corresponding to each grid point in the regular space-time grid, and generating a regular gridded
sea level anomaly product of the target sea area about the target period through an optimal interpolation method without performing explicit
system error correction.The application can consider large-scale background consistency and small and medium-
scale structure resolution capability on multiple spatial scales, and improves the spatial continuity, statistical consistency and overall stability of the
sea level anomaly
estimation result.