Algorithmic Sensitivity Analysis in the Climate Model Climber 2 ...
This report summarizes the results of the project Algosense performed at the Institut für Mathematik, Technische Universität Berlin, from July 2001 to June 2002. Aim of the project was to analyze the applicability of tools for Algorithmic (or Automatic) Differentiation (AD) to two climate models dev...
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| Format: | Article in Journal/Newspaper |
| Language: | English |
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Technische Universität Berlin
2006
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| Online Access: | https://dx.doi.org/10.14279/depositonce-14355 https://depositonce.tu-berlin.de/handle/11303/15582 |
| Summary: | This report summarizes the results of the project Algosense performed at the Institut für Mathematik, Technische Universität Berlin, from July 2001 to June 2002. Aim of the project was to analyze the applicability of tools for Algorithmic (or Automatic) Differentiation (AD) to two climate models developed at the Potsdam Institute for Climate Impact Research (PIK). These were the so-called Box Model, a small model of the North Atlantic stream, and the more complex model Climber 2 which is a so-called model of intermediate complexity consisting of atmosphere, ocean, ice, and vegetation components. Applications that are considered start from pure sensitivity calculations over uncertainty estimations to optimization runs. First and higher order derivatives are of interest. The outline of this report is the following: In the next section we describe the basic tools and techniques of Algorithmic Differentiation. The following two sections deal with the two models studied in this project. In each of them the ... |
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