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pro vyhledávání: '"Van Leeuwen, Peter J."'
Publikováno v:
Nonlinear Processes in Geophysics, 28, 295-309 (2021)
In this paper, we present an ensemble data assimilation paradigm over a Riemannian manifold equipped with the Wasserstein metric. Unlike the Eulerian penalization of error in the Euclidean space, the Wasserstein metric can capture translation and dif
Externí odkaz:
http://arxiv.org/abs/2009.03443
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Autor:
Ades, Mel, Van Leeuwen, Peter J.
In general, particle filters need large numbers of model runs in order to avoid filter degeneracy in high-dimensional systems. The recently proposed, fully nonlinear equivalent-weights particle filter overcomes this requirement by replacing the stand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::38c1942a9f5bcb96f8229664460d4728
https://centaur.reading.ac.uk/40367/1/Ades_et_al-2015-Quarterly_Journal_of_the_Royal_Meteorological_Society.pdf
https://centaur.reading.ac.uk/40367/1/Ades_et_al-2015-Quarterly_Journal_of_the_Royal_Meteorological_Society.pdf
Particle filters contain the promise of fully nonlinear data assimilation. They have been applied in numerous science areas, including the geosciences, but their application to high‐dimensional geoscience systems has been limited due to their ineff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f24658cf2aad8a191f3a863fb3e7ad41
Particle filters contain the promise of fully nonlinear data assimilation. They have been applied in numerous science areas, including the geosciences, but their application to high‐dimensional geoscience systems has been limited due to their ineff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6bb49c06107e77bde1fd24bd162ef81
Quarterly Journal of the Royal Meteorological Society, 145 (723)
ISSN:0035-9009
ISSN:1477-870X
ISSN:0035-9009
ISSN:1477-870X
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30e563ee12d32176a38f4bebb914bc21
Particle filters contain the promise of fully nonlinear data assimilation. They have been applied in numerous science areas, including the geosciences, but their application to high‐dimensional geoscience systems has been limited due to their ineff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3df4a8283154ee9ab068989d5826ebb
Particle filters contain the promise of fully nonlinear data assimilation. They have been applied in numerous science areas, including the geosciences, but their application to high‐dimensional geoscience systems has been limited due to their ineff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e21b2d9e5f25c0ad88a2d9a6e3b3d50