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.
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.