Also, one of the great features of inMAP is that it adjusts calculations based on population density grids, which makes the results more accurate.
I believe that technical factors like gradient, wind currents, and temperature won’t change significantly over the years, but I’m not 100% sure. This is more related to the engineering side of the model, so the developers of inMAP might have a more detailed answer. At this stage, I wouldn't worry too much about this aspect.
I’m not sure where you saw mention of "absolute" emissions changes, but inMAP calculates marginal emission changes for each geographic cell. These can easily be translated into marginal avoided mortality (in cases of emission reductions) for each geographic cell. The software uses complex calculations to reflect real-world conditions as closely as possible, so it doesn't give absolute changes.
Please feel free to correct me if I’ve misunderstood anything or if any of this information isn’t accurate—it’s just based on my own experience.
I hope this helps!
Thanks, Anil. Can anyone provide specific answers to my remaining questions?
1. Given the way that InMap determines the sizes of output areas, is it important to integrate census population (and mortality) data into the modeling process, or would it be OK to use the SR version generate emissions results and simply merge them with alternative census and mortality data?
2. Does the transportation of pollutants depend on
weather data that should be updated depending on one's time period? (I am using
InMAP for the US.)
3. The use of 2016 data and the discussions of results in the InMAP SR tutorial suggest that the results are an absolute terms, not relative to a baseline. Can someone please confirm?