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Optimal and scalable methods to approximate the solutions of large‐scale Bayesian problems: theory and application to atmospheric inversion and data assimilation
N. Bousserez, Daven K. Henze

Optimal and scalable methods to approximate the solutions of large‐scale Bayesian problems: theory and application to atmospheric inversion and data assimilation

Author / Organization:
Aerospace & Aviation Published 2026 Verification Pending
Indexed from repository: NASA Technical Reports Server (ntrs.nasa.gov)

Document Information

Document Title Optimal and scalable methods to approximate the solutions of large‐scale Bayesian problems: theory and application to atmospheric inversion and data assimilation
Author / Organization N. Bousserez, Daven K. Henze
Subject & Discipline ACCEPTED_MANUSCRIPT
Categories Aerospace & Aviation
Publication Year 2026
License / Rights Public Domain / NASA STI Open Access
Resource Verification Listed PDF (Verification Pending)
Original Host Website NASA Technical Reports Server (ntrs.nasa.gov)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-52396
Original Source Link Visit Source Page on ntrs.nasa.gov »