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Weighting Initial Conditions in Variational Assimilation Schemes Public Deposited

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Abstract
  • An analysis of variational data assimilation schemes for linear dynamical forecast models shows that the penalty functional must include an explicit contribution from the initial conditions in order to ensure a unique, low-noise forecast. The noise level is related to the effective number of data being assimilated.
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  • Bennett, Andrew F., Robert N. Miller, 1991: Weighting Initial Conditions in Variational Assimilation Schemes. Monthly Weather Review, 119(4), 1098–1102.
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  • 119
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  • 4
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  • Andrew F. Bennett is supported by National Science Foundation Grant OCE-8800004, And Robert N. Miller by the Office of Naval Research Grant N00014-90-J-1125.
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  • description.provenance : Submitted by Deanne Bruner (deanne.bruner@oregonstate.edu) on 2011-12-05T19:53:09Z No. of bitstreams: 1 BennettAndrewF.CEOAS.WeightingInitialConditions.pdf: 346193 bytes, checksum: bd1895ca440a17155a41694bd6a78778 (MD5)
  • description.provenance : Made available in DSpace on 2011-12-28T18:32:20Z (GMT). No. of bitstreams: 1 BennettAndrewF.CEOAS.WeightingInitialConditions.pdf: 346193 bytes, checksum: bd1895ca440a17155a41694bd6a78778 (MD5) Previous issue date: 1991-04
  • description.provenance : Approved for entry into archive by Sue Kunda(sue.kunda@oregonstate.edu) on 2011-12-28T18:32:20Z (GMT) No. of bitstreams: 1 BennettAndrewF.CEOAS.WeightingInitialConditions.pdf: 346193 bytes, checksum: bd1895ca440a17155a41694bd6a78778 (MD5)

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