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:
https://lup.lub.lu.se/record/4410828
- author
- Blessing, Simon
; Kaminski, Thomas
; Lunkeit, Frank
; Matei, Ion
; Giering, Ralf
; Koehl, Armin
; Scholze, Marko
LU
; Herrmann, P.
; Fraedrich, Klaus
and Stammer, Detlef
- organization
- publishing date
- 2014
- 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
- article number
- 22606
- publisher
- Wiley-Blackwell
- external identifiers
-
- wos:000333264100001
- scopus:84940404133
- ISSN
- 1600-0870
- DOI
- 10.3402/tellusa.v66.22606
- language
- English
- LU publication?
- yes
- id
- a68cb00f-f37a-4b9b-a6ac-062b3bfcb9e6 (old id 4410828)
- date added to LUP
- 2016-04-01 13:39:50
- date last changed
- 2024-10-10 05:36:30
@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.}},
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}},
keywords = {{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}},
doi = {{10.3402/tellusa.v66.22606}},
volume = {{66}},
year = {{2014}},
}