I read a few paper related to emission inventory talking about the inverse modeling. It was another method to estimate the emission from ground(called
top-down method). The satellite sensor usually support the product with vertical column density(
VCD) for certrain species.
The target here seems to be generate the relationship between emission and VCD. In my opinion, there are some uncertainty hidden here:
(1) the gridded VCD of certain species can be formed by different precursors, transported from neighborhood area.
(2) The chemistry system in the model also has some inherent bias which would miss some crucial source or sink process.
(3) When we set source inventory as input for chemistry transport model, the height information and the specific location are two crucial parameters. In the area of inverse modeling, we know nothing about the information of real sources(i.e fire spot, power plant).
How to generate a relative precise relationship between satellite data and source emission in consideration of these doubts?