You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Remapping between grids is often done using cdo remap* in out. Thanks to the griddes.nc files (spheRlab), unstructured Fesom data can get easily remapped with cdo -remap* -setgrid,griddes.nc in out.
Below, the effect of the grid size of the target regular grid is shown. Every line is the difference between the global mean SST calculated on a regular grid minus the global mean SST calculated on the original unstructured grid (daily data on core mesh). The regular data was obtained with conservative remapping, e.g. cdo -remapycon,global_1 -setgrid,griddes.nc in out for a 1° regular resolution (following instructions from fesom.de).
The global mean SST is ~0.1 °C colder during winter on a 1° regular grid compared to the original unstructured data (green line). On 0.25° regular resolution, the difference reduces to ~0.03 °C (purple line). During summer, these two interpolations yield ~0.03 °C and ~0.01 °C warmer global mean SSTs compared to the original unstructured data. A regular resolution of at least 0.05° is necessary to limit the difference well below 0.01 °C.
Although the difference between original unstructured and remapped global mean SST is not large, it might be in regions of interest and/or for other meshes and variables. I think the effect of remapping should get communicated in a more transparent way, especially if Fesom data is shared with other colleagues, e.g. via ESGF.
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
-
Hi
Remapping between grids is often done using
cdo remap* in out
. Thanks to thegriddes.nc
files (spheRlab), unstructured Fesom data can get easily remapped withcdo -remap* -setgrid,griddes.nc in out
.Below, the effect of the grid size of the target regular grid is shown. Every line is the difference between the global mean SST calculated on a regular grid minus the global mean SST calculated on the original unstructured grid (daily data on core mesh). The regular data was obtained with conservative remapping, e.g.
cdo -remapycon,global_1 -setgrid,griddes.nc in out
for a 1° regular resolution (following instructions from fesom.de).The global mean SST is ~0.1 °C colder during winter on a 1° regular grid compared to the original unstructured data (green line). On 0.25° regular resolution, the difference reduces to ~0.03 °C (purple line). During summer, these two interpolations yield ~0.03 °C and ~0.01 °C warmer global mean SSTs compared to the original unstructured data. A regular resolution of at least 0.05° is necessary to limit the difference well below 0.01 °C.
Although the difference between original unstructured and remapped global mean SST is not large, it might be in regions of interest and/or for other meshes and variables. I think the effect of remapping should get communicated in a more transparent way, especially if Fesom data is shared with other colleagues, e.g. via ESGF.
Cheers,
Chris
Beta Was this translation helpful? Give feedback.
All reactions