This topic is to try and keep together feedback on analysis plots for benchcab. (@gab )
First feedback from @aukkola (1 May):
- add summary table like ILAMB dashboard.
- more variables: see if we can have the same variables as with ILAMB: radiation, hydrology and carbon.
- include some comparisons between science configurations and not just between source codes as we have now. This could be done via summary tables.
- better legends, titles of the plots to understand better what they represent.
Feedback from Mengyuan (21 June):
For the 42 sites experiment, it would be good to also have plots at individual sites: diurnal cycle, annual cycle and pdf plots to check nothing has gone haywire anywhere.
@Mengyuan_Mu For the 42 site experiments, we have plans to add more plots but they would still be summary plots.
We also have plans to add more variables in the analysis and more science configuration. This makes it tricky to give plots for individual sites for this experiment as it will very quickly end up having a thousand plots there. At what point, we won’t be able to see anymore if anything is wrong.
At the same time, I see what you are worried about. But I suspect we will need some discussions to find the best way to get something useful.
List of variables we want to have for analyses in modelevaluation.org for benchcab:
- GPP (not observed, NEE + respiration model)
- LAI (available at some sites only)
- Ecosystem Respiration (available at some sites only)
- Soil Carbon (available at some sites only)
- Evaporative fraction
- Latent Heat
- Sensible heat
- Surface Soil Moisture (available at some sites only)
- Upward SW
- Net SW
- Upward LW
- Net LW
- Net Radiation
- Ground heat flux
Thanks, Claire. It is totally understandable.
Another idea came up. For the moment, we have 5 experiments for specific individual sites. We are wondering if it would be possible to adapt the analysis script so we could have 1 experiment with the datasets for all the sites. But it would expect a model output from one observation site only, get the information about the site from that model output and plot the detailed analysis for that site.
Thanks for setting this up Claire - great idea. Most of these things will be relatively straightforward. Once I’m back from the US (mid August) I’ll dedicate time to knocking some of these off. I’m also beginning to indoctrinate Jon into this R codebase (he’ll submit his PhD within 8 weeks and stick around for another 18 months) who’ll be able to help as well.
Great to know we’ll have more help on the R scripts. I was thinking about how to find a way to achieve that.
Seeing a talk tonight, I came to the conclusion it would be great if we could have information presented along some key modes of variability people care about. For example, what is the performance for the seasonal cycle for magnitude, timing, variability, etc. Same around inter-annual variability.