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  • 标题:Estimation of positive sum-to-one constrained zooplankton grazing preferences with the DEnKF: a twin experiment
  • 本地全文:下载
  • 作者:Simon, E. ; Samuelsen, A. ; Bertino, L.
  • 期刊名称:Ocean Science
  • 印刷版ISSN:1812-0784
  • 电子版ISSN:1812-0792
  • 出版年度:2012
  • 卷号:8
  • 期号:4
  • 页码:587-602
  • DOI:10.5194/os-8-587-2012
  • 出版社:Copernicus Publications
  • 摘要:We consider the estimation of the grazing preferences parameters of zooplankton in ocean ecosystem models with ensemble-based Kalman filters. These parameters are introduced to model the relative diet composition of zooplankton that consists of phytoplankton, small size-classes of zooplankton and detritus. They are positive values and their sum is equal to one. However, the sum-to-one constraint cannot be guaranteed by ensemble-based Kalman filters when parameters are bounded. Therefore, a reformulation of the parameterization is proposed. We investigate two types of variable transformations for the estimation of positive sum-to-one constrained parameters that lead to the estimation of a new set of parameters with normal or bounded distributions. These transformations are illustrated and discussed with twin experiments performed with the 1-D coupled model GOTM-NORWECOM with Gaussian anamorphosis extensions of the deterministic ensemble Kalman filter (DEnKF).
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