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Hi, Ahh yes, extracting data at specific spatial points requires additional steps since TEMPO Level-2 data use a 2D irregular grid. Here's a Python approach that should work: import numpy as np import xarray as xr # Define the filepath filepath = "TEMPO_O3PROF_L2_V04_20250921T210803Z_S012G02.nc...

Hi there, While I don't have a direct R solution to offer, here's a Python approach using `xarray` that might be helpful: import xarray as xr # Open the NetCDF file filepath = "TEMPO_O3PROF_L2_V04_20250921T210803Z_S012G02.nc" dt = xr.open_datatree(filepath) # Extract ozone profile values f...