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Usually, I use level-3 gridded satellite data to analyze the spatial and temporal patterns of atmospheric compositions. However, there were some data sources which only afford level 2 product.

For example, the NH3 total column information derived from IASI was in level-2 format. But, I saw some paper presented the NH3 distribution very well with those data. An example here.

enter image description here

A simple template file was uploaded here.

from netCDF4 import Dataset
fc = Dataset("./nh3nn_v2_2_20160209_AM.nc")
print fc.variables['longitude'][:].shape
print fc.variables['latitude'][:].shape
print fc.variables['column'][:].shape
>(633969L,)
>(633969L,)
>(633969L,)

For now, I can't find the specific pattern of the orbit. Is there any simple method to transform the original orbit-based data to global gridded data? Any guides or advice would be highly appreciated.

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    $\begingroup$ In my experience each satellite has its own strategy to go from Level 2 to Level 3. My recommendation is to contact the providers. $\endgroup$ – arkaia May 20 at 3:00

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