What version of the code are you using?
CLM5
Have you made any changes to files in the source tree?
None
Describe every step you took leading up to the problem:
I have done a literature review for primary succession modelling, and found limited results which involve the degree of complexity we would need for this application.
If this is a port to a new machine: Please attach any files you added or changed for the machine port (e.g., config_compilers.xml, config_machines.xml, and config_batch.xml) and tell us the compiler version you are using on this machine.
Please attach any log files showing error messages or other useful information.
Not applicable
Describe your problem or question:
Hello, I am new to DGVM approaches to forecasting - i work in mine closure, particularly reclamation design and monitoring. We have developed inhouse ecohydrological models but these are not temporally explicit, so are not ideal for linking model results to target land use objectives. What I would like is rough estimations of vegetation succession (particularly aboveground biomass by PFT) for the initial 200 years after reclamation, from a starting point that is essentially bare soil. This would involve using the data through the spin-up period, which I realize will have a high degree of stochasticity.
Does anyone have advice on how to treat this responsibly, and ideally any literature that might be relevant?
The approach I would take without a solid footing in literature or the experience for others, would be to run the model with many repetitions over the first 200 years, and to take the mean with a confidence interval. I would start with doing this for reclamation sites at which we have flux and survey data - and compare the modeled and observed conditions.
Any advice or cautionary tales are welcomed!
Thanks very much,
Jeff Anderson
CLM5
Have you made any changes to files in the source tree?
None
Describe every step you took leading up to the problem:
I have done a literature review for primary succession modelling, and found limited results which involve the degree of complexity we would need for this application.
If this is a port to a new machine: Please attach any files you added or changed for the machine port (e.g., config_compilers.xml, config_machines.xml, and config_batch.xml) and tell us the compiler version you are using on this machine.
Please attach any log files showing error messages or other useful information.
Not applicable
Describe your problem or question:
Hello, I am new to DGVM approaches to forecasting - i work in mine closure, particularly reclamation design and monitoring. We have developed inhouse ecohydrological models but these are not temporally explicit, so are not ideal for linking model results to target land use objectives. What I would like is rough estimations of vegetation succession (particularly aboveground biomass by PFT) for the initial 200 years after reclamation, from a starting point that is essentially bare soil. This would involve using the data through the spin-up period, which I realize will have a high degree of stochasticity.
Does anyone have advice on how to treat this responsibly, and ideally any literature that might be relevant?
The approach I would take without a solid footing in literature or the experience for others, would be to run the model with many repetitions over the first 200 years, and to take the mean with a confidence interval. I would start with doing this for reclamation sites at which we have flux and survey data - and compare the modeled and observed conditions.
Any advice or cautionary tales are welcomed!
Thanks very much,
Jeff Anderson
