Hybrid nonlinear-Kalman ensemble transform filtering for data assimilation in systems with different degrees of nonlinearity


Nerger, Lars ORCID: https://orcid.org/0000-0002-1908-1010
Contact
lars.nerger [ at ] awi.de

Abstract


Item Type
Conference (Lecture)
Authors
Nerger, Lars ORCID: https://orcid.org/0000-0002-1908-1010
Divisions
AWI Organizations > Biosciences > Marine Biogeosciences
AWI Organizations > Infrastructure > Scientific Computing
Primary Division
Organizations > AWI Organizations > Biosciences
Programs
Helmholtz Research Programs > CHANGING EARTH (2021-2027) > PT2:Ocean and Cryosphere in Climate > ST2.4: Advanced Research Technologies for Tomorrow
Primary Topic
Helmholtz Programs > Helmholtz Research Programs > CHANGING EARTH (2021-2027) > PT2:Ocean and Cryosphere in Climate
Helmholtz Cross Cutting Activity (2021-2027)
CTA:ESM:Advanced Earth System Modeling Capacity
Publication Status
Published
Eprint ID
60455
Cite as
Nerger, L. (2025): Hybrid nonlinear-Kalman ensemble transform filtering for data assimilation in systems with different degrees of nonlinearity


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