ARCNESS automatic differentiation project

Overview

This page describes the project algorithmic differentiation for data assimilation in terrestrial carbon models funded by the Terrestrial node of ARCNESS, the Australian Research Council Network for Earth System Science.

The project is about using automatic differentiation, implemented by operator overloading. This is being applied to problems of initialisation, calibration and data assimilation in the land-surface component of ACCESS (Australian Community Climate and Earth System Simulator).

The initial MASCOS work on automatic differentation was applied to analysing the Brazilian Proposal. Work on the Brazilian Proposal is not part of the ARCNESS project. However the analysis of the Brazilian Proposal provides an interesting example of automatic differentiation and so presentations and publications are noted here.

Activities

Immediate work plan

Wider goals

Development status

Presentations

Disclaimer

This page, its contents and style, are the responsibility of the author and do not represent the views, policies or opinions of The University of Melbourne.

Ian Enting: last change 15/2/07.