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

Autor:	Detlef Stammer, Armin Köhl, Frank Lunkeit, Peter Herrmann, Klaus Fraedrich, Ion Matei, Marko Scholze, Thomas Kaminski, Ralf Giering, Simon Blessing
Přispěvatelé:	European Community, DFG, NERC, Max-Planck I. (see Acknowledgements in Article)
Rok vydání:	2014
Předmět:	Atmospheric Science Climate Research Source code earth system model 010504 meteorology & atmospheric sciences Dataassimilation climate modelling coupled ocean-atmosphere model automatic differentiation adjoint model Computer science Automatic differentiation Validity domain media_common.quotation_subject Control space 0102 computer and information sciences lcsh:QC851-999 Oceanography 01 natural sciences Physics::Geophysics lcsh:Oceanography Data assimilation Applied mathematics Earth system model lcsh:GC1-1581 data assimilation Physics::Atmospheric and Oceanic Physics 0105 earth and related environmental sciences Remote sensing media_common 010201 computation theory & mathematics 13. Climate action lcsh:Meteorology. Climatology Variational assimilation coupled ocean–atmosphere model
Zdroj:	Tellus Series A-Dynamic Meteorology and Oceanography Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 66, Iss 0, Pp 1-15 (2014) Tellus A; Vol 66 (2014)
ISSN:	1600-0870 0280-6495
DOI:	10.3402/tellusa.v66.22606
Popis:	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. Keywords: data assimilation, climate modelling, coupled ocean–atmosphere model, earth system model, automatic differentiation, adjoint model (Published: 20 March 2014) Citation: Tellus A 2014, 66 , 22606, http://dx.doi.org/10.3402/tellusa.v66.22606
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86026316473d7f55a1746e446fc8a5b3 https://doi.org/10.3402/tellusa.v66.22606 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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