CTESSEL developments

Project CAMS41
Methane wetland fluxes

PFT1 (Crops, mixed farming)
PFT2 (Short grass)
PFT3 (Evergreen needleleaf)
PFT4 (Deciduous needleleaf)
PFT5 (Deciduous broadleaf)
PFT6 (Evergreen broadleaf)
PFT7 (Tall grass)
PFT9 (Tundra)
PFT10 (Irrigated crops)
PFT11 (Semidesert)
PFT13 (Bogs and marshes)
PFT16 (Evergreen shrubs)
PFT17 (Deciduous shrubs)
PFT18 (Mixed forest - Wood)
PFT19 (Interrupted forest)

  1. Modelling approach
    Optimization of CH4 wetland fluxes for all PFTs, Koeppen-Geiger classes (using the updated KGC map) and boxes by fitting individual models for
    • whole PFT (sum of all points of the examined PFT)
    • KG class and box (North – South)
  2. Sections
    • Section 1 : PFT map
      Initially a KGC map is provided with all the KG classes and their number of points (and their percentage) assigned on the specific PFT
    • Section 2 : CH4 variability for total PFT
      A single model is fitted using the whole number of points (npts) of the specific PFT
    • Section 3 : CH4 variability per PFT sub-region
      Since in most of the cases fitting a single model for the whole PFT could cause discrepancies between observed/simulated CH4 wetland fluxes, a prescribed updated Koeppen-Geiger Climate classification map is used where individual models are fitted per KG class and sub-region.
  3. How to read the results
    Plots depict the mean inter-hourly variability of CH4 wetland fluxes and the RMSE between the observed and the simulated CH4 wetland fluxes
Red line: ORCHIDEE_ERA5 CH4 wetland emissions
Green line: Simulated ERA5 CH4 wetland emissions
Blue line: HYMN ECMWF CH4 wetland emissions
Plot units are f gCH4 / hour (x axis) – hours of the year (y axis)

PFT maps
MLR : CH4 variability
MLR : Curve fit
RF : CH4 variability
RF : Variables importance
RF : Curve fit