arXiv (OAI Expanded)
open access
Numerical analysis of data assimilation for slightly compressible flow
Continuous data assimilation improves flow predictions by continually nudging a model toward available observational data. For slightly compressible flow, a recent model addresses the limitations of velocity-only nudging by assimilating both velocity and pressure data and nudging both quantities int
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
- Numerical analysis of data assimilation for slightly compressible flow#780947
- A priori tests of turbulence models for compressible flows#665396
- Acceleration of 2-D Compressible Flow Solvers with Graphics Processing Unit Clusters#996192
- An anisotropic adaptive method for the solution of 3-D inviscid and viscous compressible flows#1020687
- Prediction--Loss Alignment for Sampler--Robust Flow Matching Training#998105
Record · ID 779572
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