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OceanBench: A Benchmark for Data-Driven Global Ocean Forecasting systems
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Introduces OceanBench, a benchmark for evaluating data-driven global short-range (1–10 day) ocean forecasting models.
Problem
Data-driven ocean forecasting remains limited compared with atmospheric Earth system modeling, despite the ocean's role in climate regulation and marine ecosystems.
Approach
A benchmark designed to evaluate and accelerate global short-range (1–10 days) data-driven ocean forecasting systems.
Experimental setup
Benchmarks: OceanBench
Closest papers by meaning
- FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution (NeurIPS 2025 · similarity 0.90)
- CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes (ICML 2025 · similarity 0.89)
- ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction (NeurIPS 2024 · similarity 0.89)
- OceanCBM: A Concept Bottleneck Model for Mechanistic Interpretability in Ocean Forecasting (NeurIPS 2026 · similarity 0.87)
- Njord: A Probabilistic Graph Neural Network for Ensemble Ocean Forecasting (NeurIPS 2026 · similarity 0.86)
- Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms (NeurIPS 2025 · similarity 0.86)
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