This is a repository for evaluating carbon response to eCO2 by incorporating different model assumptions and evaluating their consequences dynamically and analytically. More background information please read McMurtrie and Comins (1993).
Script Run_prorgams.R contains the master-level executable commands. Folder Functions includes all analytical functions and the post-processing scripts Folder GDAY includes numerous sub-folders:
- analyses include all the analyses output
- code include the simplified GDAY code (in language C)
- met_data contains driving met data
- outputs contains all the gday simulation output data
- params contains the parameter files
- post_processing contains the R code to post-process the simulations
- pre_processing contains the R code to pre-process the simulations (e.g. generating met data)
- simulations contains the gday executive program and the python code to run the simulations
(more to be added) Quasi-equilibrium analysis: Comins and McMurtrie (1993) Kirschbaum et al. (1994) Kirschbaum et al. (1998) etc.
Key model assumptions: Reich et al. (2008)
GDAY model:
Contact Mingkai Jiang for more information (m.jiang@westernsydney.edu.au).