Hauptseite > Publikationsdatenbank > The degree of freedom for signal assessment of measurement networks for joint chemical state and emission analysis > print

001     857751
005     20240712101041.0
024 7 _ |a 10.5194/gmd-2017-220
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024 7 _ |a 1991-9611
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024 7 _ |a 1991-962X
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024 7 _ |a Geoscientific
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024 7 _ |a model
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024 7 _ |a development
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024 7 _ |a discussions
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024 7 _ |a 2128/20169
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024 7 _ |a altmetric:26438871
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037 _ _ |a FZJ-2018-06719
082 _ _ |a 910
100 1 _ |a Wu, Xueran
|0 P:(DE-Juel1)166191
|b 0
|e Corresponding author
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245 _ _ |a The degree of freedom for signal assessment of measurement networks for joint chemical state and emission analysis
260 _ _ |a Katlenburg-Lindau
|c 2018
|b Copernicus
336 7 _ |a article
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336 7 _ |a ARTICLE
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336 7 _ |a Journal Article
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520 _ _ |a The Degree of Freedom for Signal (DFS) is generalized and applied to estimate the potential observability of observation networks for augmented model state and parameter estimations. The control of predictive geophysical model systems by measurements is dependent on a sufficient observational basis. Control parameters may include prognostic state variables, mostly the initial values, and insufficiently known model parameters, to which the simulation is sensitive. As for chemistry-transport models, emission rates are at least as important as initial values for model evolution control. Extending the optimisation parameter set must be met by observation networks, which allows for controlling the entire optimisation task. In this paper, we introduce a DFS based approach with respect to address both, emission rates and initial value observability. By applying a Kalman smoother, a quantitative assessment method on the efficiency of observation configurations is developed based on the singular value decomposition. For practical reasons an ensemble based version is derived for covariance modelling. The observability analysis tool can be generalized to additional model parameters.
536 _ _ |a 243 - Tropospheric trace substances and their transformation processes (POF3-243)
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|c POF3-243
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588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Elbern, Hendrik
|0 P:(DE-Juel1)129194
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700 1 _ |a Jacob, Birgit
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773 _ _ |a 10.5194/gmd-2017-220
|g p. 1 - 29
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|p 1 - 29
|t Geoscientific model development discussions
|v 220
|y 2018
|x 1991-962X
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/857751/files/gmd-2017-220.pdf
856 4 _ |y OpenAccess
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913 1 _ |a DE-HGF
|l Atmosphäre und Klima
|1 G:(DE-HGF)POF3-240
|0 G:(DE-HGF)POF3-243
|2 G:(DE-HGF)POF3-200
|v Tropospheric trace substances and their transformation processes
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Erde und Umwelt
914 1 _ |y 2018
915 _ _ |a OpenAccess
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915 _ _ |a Creative Commons Attribution CC BY 4.0
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