Satellite-derived oceanic data are frequently affected by cloud cover, resulting in spatiotemporal gaps. The Multi-DINEOF method is widely used to reconstruct multiple oceanic variables. However, Multi-DINEOF essentially remains a matrix-based DINEOF approach and does not fully leverage the correlations among multiple variables. To address this limitation, this study proposes the T-DINEOF model, aiming to improve the accuracy...

Visualization of marine environmental field elements is one of the core technologies in marine science research. Particularly in the context of “digital twin of the ocean” (DTO) construction and application, accurately reproducing the dynamic evolution of marine environmental elements remains a critical challenge. Existing visualization methods are primarily limited to static displays and fail to achieve deep integration and d...