Publication: An example of an automatic differentiation-based modelling system.
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An example of an automatic differentiation-based modelling system.

- Part of a collection -
 

Area
Biogeochemistry

Author(s)
T. Kaminski , R. Giering , M. Scholze , P. Rayner , W. Knorr.

Published in
Computational Science and Its Applications -- ICCSA 2003, Proceedings of the International Conference on Computational Science and its Applications, Montreal, Canada, May 18--21, 2003. Part II

Editor(s)
V. Kumar, M. L. Gavrilova, C. J. K. Tan, P. L'Ecuyer

Year
2003

Publisher
Springer

Abstract
The paper presents a prototype of a Carbon Cycle Data Assimilation System (CCDAS), which is composed of a terrestrial biosphere model (BETHY) coupled to an atmospheric transport model (TM2), corresponding derivative codes as well as a derivative-based optimisation routine. In calibration mode, we use first and second derivatives, to estimate model parameters and their uncertainties from atmospheric observations and their uncertainties. In prognostic mode, we use first derivatives, to map model parameters and their uncertainties onto prognostic quantities and their uncertainties.

Cross-References
Kumar2003CSa

AD Tools
TAF

AD Theory and Techniques
Hessian, Sparsity

BibTeX
@INPROCEEDINGS{
         Kaminski2003Aeo,
       author = "T. Kaminski and R. Giering and M. Scholze and P. Rayner and W. Knorr.",
       title = "An example of an automatic differentiation-based modelling system.",
       booktitle = "Computational Science and Its Applications -- ICCSA~2003, Proceedings of the
         International Conference on Computational Science and its Applications, Montreal, Canada,
         May~18--21, 2003. Part~II",
       editor = "V. Kumar and M. L. Gavrilova and C. J. K. Tan and P. {L'Ecuyer}",
       volume = "2668",
       series = "Lecture Notes in Computer Science",
       publisher = "Springer",
       pages = "95--104",
       address = "Berlin",
       crossref = "Kumar2003CSa",
       year = "2003",
       AD_AREA = "Biogeochemistry",
       AD_TOOLS = "TAF",
       AD_THEOTECH = "Hessian, ASD",
       ABSTRACT = "The paper presents a prototype of a Carbon Cycle Data Assimilation System (CCDAS),
         which is composed of a terrestrial biosphere model (BETHY) coupled to an atmospheric transport model
         (TM2), corresponding derivative codes as well as a derivative-based optimisation routine. In
         calibration mode, we use first and second derivatives, to estimate model parameters and their
         uncertainties from atmospheric observations and their uncertainties. In prognostic mode, we use
         first derivatives, to map model parameters and their uncertainties onto prognostic quantities and
         their uncertainties."
}


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