Converting SE grid to FV0.9x1.25

[Yuan Sun]

What version of the code are you using?
CESM and E3SM ensembles

Have you made any changes to files in the source tree?
No

Describe every step you took leading up to the problem:
I tried to compare CESM and E3SM data. The E3SM ensemble is ne30 mesh; I need to convert it to FV 0.9x1.25.
My bash job script is below:

#!/bin/bash
module load jaspy
home_path='/gws/nopw/j04/duicv/yuansun/'
drc_in_e3sm=${home_path}dataset/e3sm/inputdata/share/meshes/homme/
drc_in_cesm=${home_path}dataset/inputdata/share/scripgrids/
drc_in_e3sm2=${home_path}dataset/e3sm/mapping/grids/
var=TSA
input_dir=${home_path}dataset/nersc/ccsm/www/E3SMv2/ne30/lnd/proc/tseries/month_1/
output_dir=${home_path}0_ensemble/output_analysis_e3sm/lnd_regrid/fv/month_1/
mapfile=map_ne30pg2_to_fv0.9x1.25_aave.20250329.nc
lnd_iutput_file=v2.LR.SSP370_0111.elm.h0.TSA.201501-210012.nc
lnd_output_flie=test.nc
# create a map file
ncremap -a conserve --grd_src=${drc_in_e3sm}ne30pg2_scrip_c20191218.nc --grd_dst=${drc_in_e3sm2}192x288_SCRIP.20160301.nc --map=${output_dir}/map_ne30pg2_to_fv0.9x1.25_aave.20250329.nc
# convert
ncremap -P elm --var=${var} -m ${output_dir}${mapfile} -i ${input_dir}${lnd_iutput_file} -o ${output_dir}${lnd_output_flie} --sgs_frc=${input_dir}${lnd_iutput_file}/landfrac -R "--rgr col_nm=lndgrid" --sgs_msk=${input_dir}${lnd_iutput_file}/landmask

Describe your problem or question:
The converted E3SM data has different land grid cells, particularly for coastal areas.

Shall I use a land mask to refine the land grid cells before data analysis? Thanks for any comments.

Best,
Yuan

 

[slevis]

You should decide how exactly to solve it, but this is how I might think about the discrepancy:
- Compare grid cells where both models have data.
- Do not compare grid cells where only one model or neither model has data.

 

[Yuan Sun]

You should decide how exactly to solve it, but this is how I might think about the discrepancy:
- Compare grid cells where both models have data.
- Do not compare grid cells where only one model or neither model has data.

Thanks! I will apply a mask of valid land grid cells for both models.

Best,
Yuan