A new python version of the landgram is designed to link with the ecLand v2.0 model output of the ecLand tests. Here an example of use.

landgram.py --input "./o_*.nc" --lat 42.5378 --lon -72.1715 --loc "Harvard Forest" --out landgram_HarvardForest.png

plot the output of US-Ha1_1991-1996 experiment.

Just make sure the ecLand input namelist activates writing the output

  &NAMCT01S
     ....
    NFRPOS=12                     ! frequency of post-processing events (time-steps)

 &NAM1S
    ...
    LWRGG=.TRUE.              ! logical, wrtie o_gg  - instantaneus prognostics
    LWRCLM=.TRUE.            ! logical, write o_fix - fix soil properties
    LWRGGD=.FALSE.            ! logical, write o_ggd - mean prognostic evolution
    LWREFL=.TRUE.            ! logical, write o_efl - surface energy balance
    LWRWAT=.TRUE.            ! logical, write o_wat - water balance
    LWRD2M=.FALSE.            ! logical, write o_d2m - 2 meters diagnostics
    LWRSUS=.TRUE.            ! logical, write o_sus - surface state variables (vegT,albedo, etc..)
    LWREVA=.TRUE.            ! logical, write o_eva - evaporation components
    LWRCLD=.TRUE.            ! logical, write o_cld - cold processes variables
    ...