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Testing variational estimation of process parameters and initial conditions of an earth system model

Blessing, Simon; Kaminski, Thomas; Lunkeit, Frank; Matei, Ion; Giering, Ralf; Koehl, Armin; Scholze, Marko LU ; Herrmann, P.; Fraedrich, Klaus and Stammer, Detlef (2014) In Tellus. Series A: Dynamic Meteorology and Oceanography 66.
Abstract
We present a variational assimilation system around a coarse resolution Earth System Model (ESM) and apply it for estimating initial conditions and parameters of the model. The system is based on derivative information that is efficiently provided by the ESM's adjoint, which has been generated through automatic differentiation of the model's source code. In our variational approach, the length of the feasible assimilation window is limited by the size of the domain in control space over which the approximation by the derivative is valid. This validity domain is reduced by non-smooth process representations. We show that in this respect the ocean component is less critical than the atmospheric component. We demonstrate how the feasible... (More)
We present a variational assimilation system around a coarse resolution Earth System Model (ESM) and apply it for estimating initial conditions and parameters of the model. The system is based on derivative information that is efficiently provided by the ESM's adjoint, which has been generated through automatic differentiation of the model's source code. In our variational approach, the length of the feasible assimilation window is limited by the size of the domain in control space over which the approximation by the derivative is valid. This validity domain is reduced by non-smooth process representations. We show that in this respect the ocean component is less critical than the atmospheric component. We demonstrate how the feasible assimilation window can be extended to several weeks by modifying the implementation of specific process representations and by switching off processes such as precipitation. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
data assimilation, climate modelling, coupled ocean-atmosphere model, earth system model, automatic differentiation, adjoint model
in
Tellus. Series A: Dynamic Meteorology and Oceanography
volume
66
publisher
Wiley-Blackwell
external identifiers
  • wos:000333264100001
  • scopus:84940404133
ISSN
1600-0870
DOI
10.3402/tellusa.v66.22606
project
MERGE
language
English
LU publication?
yes
id
a68cb00f-f37a-4b9b-a6ac-062b3bfcb9e6 (old id 4410828)
date added to LUP
2014-04-29 10:19:09
date last changed
2017-05-28 03:59:40
@article{a68cb00f-f37a-4b9b-a6ac-062b3bfcb9e6,
  abstract     = {We present a variational assimilation system around a coarse resolution Earth System Model (ESM) and apply it for estimating initial conditions and parameters of the model. The system is based on derivative information that is efficiently provided by the ESM's adjoint, which has been generated through automatic differentiation of the model's source code. In our variational approach, the length of the feasible assimilation window is limited by the size of the domain in control space over which the approximation by the derivative is valid. This validity domain is reduced by non-smooth process representations. We show that in this respect the ocean component is less critical than the atmospheric component. We demonstrate how the feasible assimilation window can be extended to several weeks by modifying the implementation of specific process representations and by switching off processes such as precipitation.},
  articleno    = {22606},
  author       = {Blessing, Simon and Kaminski, Thomas and Lunkeit, Frank and Matei, Ion and Giering, Ralf and Koehl, Armin and Scholze, Marko and Herrmann, P. and Fraedrich, Klaus and Stammer, Detlef},
  issn         = {1600-0870},
  keyword      = {data assimilation,climate modelling,coupled ocean-atmosphere model,earth system model,automatic differentiation,adjoint model},
  language     = {eng},
  publisher    = {Wiley-Blackwell},
  series       = {Tellus. Series A: Dynamic Meteorology and Oceanography},
  title        = {Testing variational estimation of process parameters and initial conditions of an earth system model},
  url          = {http://dx.doi.org/10.3402/tellusa.v66.22606},
  volume       = {66},
  year         = {2014},
}