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Development of an Adjoint for a Complex Atmospheric Model, the ARPS, using TAF-
incollection
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Area
Meteorology |
Author(s)
Ying Xiao
, Ming Xue
, William Martin
, Jidong Gao
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Published in
Automatic Differentiation: Applications, Theory, and Implementations
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Editor(s)
H. Martin Bücker, George F. Corliss, Paul D. Hovland, Uwe Naumann, Boyana Norris |
Year
2005 |
Publisher
Springer |
Abstract
Large-scale scientific computer models, such as operational weather predictionsmodels, pose challenges for the applicability of ad tools. We report the application of TAF to the development of the adjoint model and tangent linear model of a complex atmospheric model, ARPS. Strategies to overcome the problems encountered during the development process are discussed. A rigorous verification procedure of the adjoint model is presented. Simple experiments are carried out for sensitivity study, and the results confirm the correctness of the generated models. |
Cross-References
Bucker2005ADA |
AD Tools
TAF |
BibTeX
@INCOLLECTION{
Xiao2005Doa,
author = "Ying Xiao and Ming Xue and William Martin and Jidong Gao",
title = "Development of an Adjoint for a Complex Atmospheric Model, the {ARPS}, using {TAF}",
pages = "263--273",
ad_tools = "TAF",
ad_area = "Meteorology",
abstract = "Large-scale scientific computer models, such as operational weather
predictionsmodels, pose challenges for the applicability of AD tools. We report the application of
TAF to the development of the adjoint model and tangent linear model of a complex atmospheric model,
ARPS. Strategies to overcome the problems encountered during the development process are discussed.
A rigorous verification procedure of the adjoint model is presented. Simple experiments are carried
out for sensitivity study, and the results confirm the correctness of the generated models.",
crossref = "Bucker2005ADA",
booktitle = "Automatic Differentiation: {A}pplications, Theory, and Implementations",
year = "2005",
editor = "H. Martin B{\"u}cker and George F. Corliss and Paul D. Hovland and Uwe
Naumann and Boyana Norris",
publisher = "Springer",
doi = "10.1007/3-540-28438-9_23"
}
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