Calculating GPP (or Other Variables) for Each Vegetation Type Using CLM Outputs

[yuecheng]

The "PCT_NAT_PFT" output by CLM represents the proportion of vegetation types in a grid cell. Can I multiply this proportion by the output "GPP" variable (or other variables) to obtain the GPP (or other variables) for each vegetation type? If not, how can I get the GPP (or other variables) for each vegetation type? Is it possible to obtain the output "GPP" variable (or other variables) with a dimension of (time, natpft, lat, lon)?

 

[oleson]

You can obtain monthly GPP with a dimension of (time,pft) by specifiying the following in your user_nl_clm

hist_mfilt(2) = 1
hist_dov2xy(2) = .false.
hist_nhtfrq(2) = 0
hist_type1d_pertape(2) = 'PFTS '
hist_fincl2 = 'GPP'

This will create a "h1" history file. You can then map this to (npft,nlat,nlon) by using the 1d variables in the history file, e.g.,:

pfts1d_lon
pfts1d_lat