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Zhao Jing

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Preprint Oct 2026

Learning native eddy-resolving ocean dynamics outperforms coarse emulation and downscaling

Eddy-resolving ocean simulations are essential for representing mesoscale dynamics that regulate ocean circulation, energy transport, and climate variability. However, they are costly to generate, store, and share. Artificial intelligence (AI) may help, but it remains unclear whether high-resolution ocean fields can be...

Zi-Lu Liu, Tao Zhang, Hai-Long Liu et al. · 0 citations
Preprint Aug 2026

TERRA: A Hierarchical Parallel Training and Memory Orchestration Framework for High-Resolution AI-based Earth Modeling

Training high-resolution AI-based Earth forecasting models is memory-intensive. Window-based Swin Transformers reduce the quadratic cost of global attention, but existing distributed systems such as AERIS primarily target pixel-level models and do not jointly support convolutional sampling modules and shifted-window ex...

Ruohan Wu, Ziqi Zhu, Yang Zhao et al. · 0 citations
Open access Aug 2026

Fine-Scale Eddies Revealed by the Surface Water and Ocean Topography (SWOT) Mission

Utilizing two-dimensional sea level anomalies from the Surface Water and Ocean Topography (SWOT) wide-swath altimeter, we conduct a global census of fine-scale eddies (with equivalent radii < 30 km) that are beyond the resolution capacity of traditional altimeters. We find that these eddies are concentrated in regions...

Zhibin Yang, Zhao Jing, Xiao-Ming Zhai et al. · 0 citations

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