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Mathematical and Algorithmic Aspects of Atmosphere-Ocean Data Assimilation

dc.date.accessioned2019-10-24T14:36:07Z
dc.date.available2019-10-24T14:36:07Z
dc.date.issued2012
dc.identifier.urihttp://publications.mfo.de/handle/mfo/3329
dc.description.abstractThe nomenclature “data assimilation” arises from applications in the geosciences where complex mathematical models are interfaced with observational data in order to improve model forecasts. Mathematically, data assimilation is closely related to filtering and smoothing on the one hand and inverse problems and statistical inference on the other. Key challenges of data assimilation arise from the high-dimensionality of the underlying models, combined with systematic spatio-temporal model errors, pure model uncertainty quantifications and relatively sparse observation networks. Advances in the field of data assimilation will require combination of a broad range of mathematical techniques from differential equations, statistics, probability, scientific computing and mathematical modelling, together with insights from practitioners in the field. The workshop brought together a collection of scientists representing this broad spectrum of research strands.
dc.titleMathematical and Algorithmic Aspects of Atmosphere-Ocean Data Assimilation
dc.identifier.doi10.14760/OWR-2012-58
local.series.idOWR-2012-58
local.subject.msc86
local.subject.msc62
local.subject.msc93
local.subject.msc65
local.subject.msc49
local.sortindex769
local.date-range02 Dec - 08 Dec 2012
local.workshopcode1249
local.workshoptitleMathematical and Algorithmic Aspects of Atmosphere-Ocean Data Assimilation
local.organizersAndreas Griewank, Berlin; Sebastian Reich, Potsdam; Ian Roulstone, Surrey; Andrew Stuart, Coventry
local.report-nameWorkshop Report 2012,58
local.opc-photo-id1249
local.publishers-doi10.4171/OWR/2012/58
local.ems-referenceGriewank Andreas, Reich Sebastian, Roulstone Ian, Stuart Andrew: Mathematical and Algorithmic Aspects of Atmosphere-Ocean Data Assimilation. Oberwolfach Rep. 9 (2012), 3417-3471. doi: 10.4171/OWR/2012/58


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