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A multimodel data assimilation framework via the ensemble Kalman filter

Author:
Xue, Liang - Zhang, Dongxiao
Publisher:
American Geophysical Union
Year
: 2014
DOI: 10.1002/2013WR014525
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/933669
Keyword(s): the ensemble Kalman filter,Bayesian model averaging,heterogeneity,inverse modeling,model uncertainty,1829 Groundwater hydrology,1846 Model calibration,1869 Stochastic hydrology,1873 Uncertainty assessment
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    A multimodel data assimilation framework via the ensemble Kalman filter

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contributor authorXue, Liang - Zhang, Dongxiao
date accessioned2020-03-12T16:47:56Z
date available2020-03-12T16:47:56Z
date issued2014
identifier issn0043-1397
identifier other10.1002-2013WR014525.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/933669
formatgeneral
languageEnglish
publisherAmerican Geophysical Union
titleA multimodel data assimilation framework via the ensemble Kalman filter
typeJournal Paper
contenttypeMetadata Only
identifier padid7681197
subject keywordsthe ensemble Kalman filter
subject keywordsBayesian model averaging
subject keywordsheterogeneity
subject keywordsinverse modeling
subject keywordsmodel uncertainty
subject keywords1829 Groundwater hydrology
subject keywords1846 Model calibration
subject keywords1869 Stochastic hydrology
subject keywords1873 Uncertainty assessment
identifier doi10.1002/2013WR014525
journal titleWater Resources Research
journal volume50
journal issue5
filesize2952833
citations1
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