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An example of an automatic differentiation-based modelling system.-
Part of a collection
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Area Biogeochemistry |
Author(s)
T. Kaminski
, R. Giering
, M. Scholze
, P. Rayner
, W. Knorr.
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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
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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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