Publication: Development of an Adjoint for a Complex Atmospheric Model, the ARPS, using TAF
Introduction
Applications
Tools
Research Groups
Workshops
Publications
   List Publications
   Advanced Search
   Info
   Add Publications
My Account
About

Development of an Adjoint for a Complex Atmospheric Model, the ARPS, using TAF

- incollection -
 

Area
Meteorology

Author(s)
Ying Xiao , Ming Xue , William Martin , Jidong Gao

Published in
Automatic Differentiation: Applications, Theory, and Implementations

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"
}


back
  

Contact:
autodiff.org
Username:
Password:
(lost password)