My understanding of MSLP is that it is a normalized value for pressure at some location as if that location altitude was zero.
"Thus, MSLP is not a function of elevation"
However, after inspecting few cases, I am beginning to question the previous statement.
Below is a screenshot from windy.tv for MSLP over the Himalayas from ECMWF with a high resolution of 9km:
Two main characteristics are obvious:
1- MSLP changes steeply between two adjacent points just due to the difference in elevation.
2- MSLP over mountains seems to be a strong function of temperature (since it varies a lot over night and morning)
1) Are these two previous statement correct?
2) Can I normalize MSLP in terms of elevation?
To get more insight at what I am trying to figure out: I am trying to interpolate observational MSLP data; however, since MSLP is very high on mountains I am getting wrong results around those points. In other words my algorithm would assume that a large area around the station that is on top of a mountain has an MSLP of 1020 while in fact, just as you move away few kilometers MSLP changes very quickly to 1010 because of the elevation drop, so how can I fix that?
Theses "anomalies" in MSLP can only be seen with high resolution models for example they can be seen in ECMWF and not in GFS