The SEIK Filter - an alternative to the Ensemble Kalman Filter!?
he Ensemble Kalman Filter (EnKF), recently reformulated by itsinventor G. Evensen, is one of the most used filter algorithms fordata assimilation in meteorology and oceanography. The EnKF algorithmpromises to provide good data assimilation results while beingrelatively simple to implement and to app...
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ftawi:oai:epic.awi.de:12597 2023-09-05T13:21:30+02:00 The SEIK Filter - an alternative to the Ensemble Kalman Filter!? Nerger, Lars Hiller, Wolfgang Schröter, Jens 2005 application/pdf https://epic.awi.de/id/eprint/12597/ https://epic.awi.de/id/eprint/12597/1/Ner2005b.pdf https://hdl.handle.net/10013/epic.23014 https://hdl.handle.net/10013/epic.23014.d001 unknown https://epic.awi.de/id/eprint/12597/1/Ner2005b.pdf https://hdl.handle.net/10013/epic.23014.d001 Nerger, L. orcid:0000-0002-1908-1010 , Hiller, W. and Schröter, J. orcid:0000-0002-9240-5798 (2005) The SEIK Filter - an alternative to the Ensemble Kalman Filter!? , 4th WMO International Symposium on Assimilation of Observations in Meteorology and Oceanography, April 18-22, 2005, Prague, Czech Republic. . hdl:10013/epic.23014 EPIC34th WMO International Symposium on Assimilation of Observations in Meteorology and Oceanography, April 18-22, 2005, Prague, Czech Republic. Conference notRev 2005 ftawi 2023-08-22T19:50:02Z he Ensemble Kalman Filter (EnKF), recently reformulated by itsinventor G. Evensen, is one of the most used filter algorithms fordata assimilation in meteorology and oceanography. The EnKF algorithmpromises to provide good data assimilation results while beingrelatively simple to implement and to apply. On the other hand, thealgorithm exhibits problems related to its computational cost forlarge-scale problems and approximations made by the EnKF. Thecomparison with the SEIK filter, introduced by D.T. Pham, shows thatthis alternative formulation of an ensemble based Kalman filterexhibits better properties with regard to computational costs andrequired approximations than the typical formulation of the EnKF. Wediscuss the differences between the two filter algorithms andadvantages of each filter. The practical consequences of the differentalgorithmic formulations are shown using results from an applicationof both filter algorithms to the finite element model FEOM in aconfiguration for the North Atlantic. Conference Object North Atlantic Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Evensen ENVELOPE(-65.617,-65.617,-66.233,-66.233) |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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description |
he Ensemble Kalman Filter (EnKF), recently reformulated by itsinventor G. Evensen, is one of the most used filter algorithms fordata assimilation in meteorology and oceanography. The EnKF algorithmpromises to provide good data assimilation results while beingrelatively simple to implement and to apply. On the other hand, thealgorithm exhibits problems related to its computational cost forlarge-scale problems and approximations made by the EnKF. Thecomparison with the SEIK filter, introduced by D.T. Pham, shows thatthis alternative formulation of an ensemble based Kalman filterexhibits better properties with regard to computational costs andrequired approximations than the typical formulation of the EnKF. Wediscuss the differences between the two filter algorithms andadvantages of each filter. The practical consequences of the differentalgorithmic formulations are shown using results from an applicationof both filter algorithms to the finite element model FEOM in aconfiguration for the North Atlantic. |
format |
Conference Object |
author |
Nerger, Lars Hiller, Wolfgang Schröter, Jens |
spellingShingle |
Nerger, Lars Hiller, Wolfgang Schröter, Jens The SEIK Filter - an alternative to the Ensemble Kalman Filter!? |
author_facet |
Nerger, Lars Hiller, Wolfgang Schröter, Jens |
author_sort |
Nerger, Lars |
title |
The SEIK Filter - an alternative to the Ensemble Kalman Filter!? |
title_short |
The SEIK Filter - an alternative to the Ensemble Kalman Filter!? |
title_full |
The SEIK Filter - an alternative to the Ensemble Kalman Filter!? |
title_fullStr |
The SEIK Filter - an alternative to the Ensemble Kalman Filter!? |
title_full_unstemmed |
The SEIK Filter - an alternative to the Ensemble Kalman Filter!? |
title_sort |
seik filter - an alternative to the ensemble kalman filter!? |
publishDate |
2005 |
url |
https://epic.awi.de/id/eprint/12597/ https://epic.awi.de/id/eprint/12597/1/Ner2005b.pdf https://hdl.handle.net/10013/epic.23014 https://hdl.handle.net/10013/epic.23014.d001 |
long_lat |
ENVELOPE(-65.617,-65.617,-66.233,-66.233) |
geographic |
Evensen |
geographic_facet |
Evensen |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
EPIC34th WMO International Symposium on Assimilation of Observations in Meteorology and Oceanography, April 18-22, 2005, Prague, Czech Republic. |
op_relation |
https://epic.awi.de/id/eprint/12597/1/Ner2005b.pdf https://hdl.handle.net/10013/epic.23014.d001 Nerger, L. orcid:0000-0002-1908-1010 , Hiller, W. and Schröter, J. orcid:0000-0002-9240-5798 (2005) The SEIK Filter - an alternative to the Ensemble Kalman Filter!? , 4th WMO International Symposium on Assimilation of Observations in Meteorology and Oceanography, April 18-22, 2005, Prague, Czech Republic. . hdl:10013/epic.23014 |
_version_ |
1776202106284277760 |