| A parametric and process-oriented view of the carbon system |
| The challenge: explain the controls over the systemÕs response |
| Carbon emissions and uptakes
since 1800 (Gt C) |
| Expanding the model: |
| A Hierarchical view of the carbon system |
| A-R: A key feature of the system |
| Ecosystem Model Structure |
| Some key model equations |
| Estimation |
| Slide 10 |
| Control variables |
| Concentrations have less information about processes and parameters than do fluxes |
| Get closer to the answer: measure fluxes |
| FLUXNET |
| Slide 15 |
| More gadgets |
| More gadgets |
| Slide 18 |
| Time-scale character of carbon modeling |
| Observed variability of fluxes |
| Analyzed variability of processes |
| Analysis of controls |
| Self-consistent parameter sets |
| Slide 24 |
| Slide 25 |
| "Evaluation against an independent water..." |
| Normal Model Parameterization Method |
| Step 2É.. |
| Self-consistent parameter sets |
| Analysis of controls |
| What does this type of local study contribute to global modeling? |
| Carbon from space |
| Day and Night |
| Future active CO2 experiments make day and night observations |
| Process priors for global models |
| The global scale is very distant from processes |
| Slide 37 |
| Slide 38 |
| Slide 39 |
| Vertical profiles and CO2 ÒlakesÓ |
| "Carbon data assimilation" |
| A few references |