hdl:10013/epic.17171
A Comparison of Data Assimilation with the Ensemble Kalman Filter and the SEEK Filter applied to non-linear Shallow Water Equations
Nerger, Lars 
ORCID: https://orcid.org/0000-0002-1908-1010, Hiller, Wolfgang and Schröter, Jens ORCID: https://orcid.org/0000-0002-9240-5798
;
ORCID: https://orcid.org/0000-0002-1908-1010, Hiller, Wolfgang and Schröter, Jens ORCID: https://orcid.org/0000-0002-9240-5798
;
Contact
lnerger [ at ] awi-bremerhaven.de
Abstract
Item Type
Conference
(Poster)
Authors
Nerger, Lars ORCID: https://orcid.org/0000-0002-1908-1010, Hiller, Wolfgang and Schröter, Jens ORCID: https://orcid.org/0000-0002-9240-5798
;
ORCID: https://orcid.org/0000-0002-1908-1010, Hiller, Wolfgang and Schröter, Jens ORCID: https://orcid.org/0000-0002-9240-5798
;
Divisions
AWI Organizations > Infrastructure > Computing and Data Centre
AWI Organizations > Climate Sciences > Climate Dynamics
AWI Organizations > Climate Sciences > Climate Dynamics
Programs
Publication Status
Published
Event Details
EGS XXVII General Assembly, Nice, April 21-26.
Eprint ID
6618
Cite as
Nerger, L.
,
Hiller, W.
and
Schröter, J.
(2002):
A Comparison of Data Assimilation with the Ensemble Kalman Filter and the SEEK Filter applied to non-linear Shallow Water Equations
,
EGS XXVII General Assembly, Nice, April 21-26
.
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