arXiv (All)
open access
OceanFlow: Coherent Flow Matching for Probabilistic Ocean Modeling
Probabilistic ocean modeling is essential for risk-aware marine operations, climate analysis, and scientific decision-making, where downstream decisions depend on the conditional distribution of future ocean states rather than a single deterministic trajectory. Recent data-driven ocean models have m
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- High-level, efficient ocean modeling at all scales with Oceananigans#1344423
- Wave-Current-Tide Interactions in Coastal Environments#996353
- Multi-model ocean oxygen fields predicted by conditional diffusion models#1218258
- CIAO: A machine-learning algorithm for mapping Arctic Ocean Chlorophyll-a from space#142475
- Diffusion-Based Super-Resolution of Adriatic Sea Oceanographic Fields#1037257
Record · ID 1326768
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive