Learning of Sea Surface Height Interpolation from Multi-variate Simulated Satellite Observations

arXiv:2310.07626v2 Announce Type: replace
Abstract: Satellite-based remote sensing missions have revolutionized our understanding of the Ocean state and dynamics. Among them, space-borne altimetry provides valuable measurements of Sea Surface Height (SSH), which is used to estimate surface geostrophic currents. Due to the sensor technology employed, important gaps occur in SSH observations. Complete SSH maps are produced using linear Optimal Interpolations (OI) such as the widely-used Data Unification and Altimeter Combination System (duacs). On the other hand, Sea Surface Temperature (SST) …

abstract arxiv cs.lg dynamics interpolation ocean satellite sensing sensor space ssh state surface technology them type understanding