Here are the minutes from the Land modelling working group meeting. If we’ve missed anything you feel is important please feel free to add it below or edit this post (it’s a wiki post).
DATE: 02/04/2024
Attendees: 12
We discussed what global met forcing datasets are being used across the community to provide information to ILMF (mainly GSWP3, WATCH-WFDEI, ERA5, CRU-JRA). New/updated datasets are being developed that start around 1950, we discussed whether these are suited to carbon cycle studies needing spin-up from pre-industrial conditions.
Gab: Information we want to see for model evaluation and how we want this information to be presented. Showing a mock-up of how the analysis could be presented. With several levels of granularity: PLUMBER plots per tested configuration, window inserts for summative plots and for plots per variables (with a drop-down to choose the variable), plots per site (with timeseries, diurnal cycle etc.) and colour-coded information to quickly show at each site if the test branch is better.
Negin: Should we add urban sites?
- should we add them from the start? Is the data ready? Globally there are sites that are ready to pull from. Mat can give some sites. We will discuss in a future meeting if different metrics need to be applied to urban models.
We are also not representing agriculture for now in benchcab.
Permanent ice is not represented. Lakes neither. We have sites at wetlands and some points that are frozen half of the year.
Anna: summary tables like in ILAMB. Gab, these already exist in ME.org. Claire asked if these tables can be visually similar to ILAMB’s so it’s faster to interpret when switching between the 2 systems.
Beta testing: The system is a bit too clunky right now for generic use. Once we have something nicer to use, we are happy for people in the community to get involved with testing as they wish.
Ramzi: It might be good to have one overall grading “number” across sites, metrics and configurations.
Gab would like a system that gives the user a statement of what has significantly changed but that would be hard to do.