Closed khufkens closed 1 year ago
What routine/function are you referring to? Something originally from FluxnetLSM or from ingestr?
The cobbled together pile of scripts that was used in addition to FluxnetLSM, the PLUMBER-2 workflow (if you can call it that).
The explosion of extrapolated values is a common issue, but depends on the type of smoothing algorithm. I implemented several in ingestr. Maybe a useful alternative?
I know how to handle these data, it's just yet another fix/failure in this whole setup.
Fixed using the phenocamr workflow, which is more robust and parsimonious across data types, instead of the double tripple smoothing stuff in FluxnetLSM.
Ok, I seriously doubt that the MODIS smoothing and gap filling routine makes any sense. Seriously f-cked up stuff IMO. Anyway, the current routine introduces spurious results throughout and in particular at year end changes, with sharp peaks in LAI/FPAR for anything that isn't northern hemisphere seasonal as far as I can tell.