SP mode with custom LAI

[czarakas@uw_edu]

Hi -

I'm interested in running some experiments with CLM in SP mode, but where I modify the satellite phenology to be consistent with a BGC run (i.e. instead of LAI being prescribed to match satellite-derived LAI, LAI is prescribed to be the LAI from a different model experiment). Could you point me to the file for the default SP driver file is, so that I could model an alternative SP file based on that? And should I be able to construct alternative SP driver files from saved monthly output for PFT-specific LAI, stem area index, and vegetation height, or will I need to save any other variables (or these variables at a different time frequency)?

Thanks in advance for your help!
Claire

 

[oleson]

Yes, you should be able to do that. The LAI, SAI, etc data is provided by the surface dataset. The surface dataset is identified by the namelist parameter "fsurdat" which you can find in your lnd_in file after you setup a case.
For example, for CESM2.1.3, for a 2 degree year 2000 SP case, the surface dataset located on cheyenne is:

/glade/p/cesmdata/cseg/inputdata/lnd/clm2/surfdata_map/release-clm5.0.18/surfdata_1.9x2.5_hist_16pfts_Irrig_CMIP6_simyr2000_c190304.nc

The fields you mention are:

double MONTHLY_LAI(time, lsmpft, lsmlat, lsmlon) ;
MONTHLY_LAI:long_name = "monthly leaf area index" ;
MONTHLY_LAI:units = "unitless" ;
double MONTHLY_SAI(time, lsmpft, lsmlat, lsmlon) ;
MONTHLY_SAI:long_name = "monthly stem area index" ;
MONTHLY_SAI:units = "unitless" ;
double MONTHLY_HEIGHT_TOP(time, lsmpft, lsmlat, lsmlon) ;
MONTHLY_HEIGHT_TOP:long_name = "monthly height top" ;
MONTHLY_HEIGHT_TOP:units = "meters" ;
double MONTHLY_HEIGHT_BOT(time, lsmpft, lsmlat, lsmlon) ;
MONTHLY_HEIGHT_BOT:long_name = "monthly height bottom" ;
MONTHLY_HEIGHT_BOT:units = "meters" ;

These are dimensioned by time (monthly average), lsmpft (plant functional type), and latitude/longitude.

 

[czarakas@uw_edu]

Fantastic - thanks Keith! This is exactly the information I was looking for so this is very helpful.