Author(s): Yingxiang Hong; Yazhen Wang; Xuan Wang

Linked Author(s):

Keywords: Marine elements; Marine dataset; Remote sensing; Data assimilation

Abstract: The marine environment plays a crucial role in analyzing ocean dynamics, including ocean circulation, eddies, and waves. Currently, this information is primarily obtained from reanalysis products and satellite observations. While marine reanalysis products offer multi-element and multidimensional analysis with coordinated matching of dynamic and thermal forces, their accuracy is not as precise as observational data. Conversely, remote sensing datasets are extensively used for their real-time and high precision, but they only provide information on sea surface height anomaly (SSHA) and sea surface temperature (SST). Therefore, it is necessary to integrate information from both products into a new data system. This study investigates the internal structure of various marine environmental elements and introduces a straightforward statistical and dimension transformation approach to assimilate different datasets and reconstruct a new spatial-temporal marine dataset. The results indicate that the assimilated dataset can provide information with more comprehensive elements, while maintaining accuracy comparable to satellite observation.

DOI: https://doi.org/10.64697/HIC2024_P197

Year: 2024