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| Fig. 1 Juneau, AK |
Specifically, it may be the first model to fingerprint individual PSMSL stations en masse, since it goes through all 487 PSMSL "good" tide gauge stations in the SQL database I built, and while doing so it fingerprints them ("good" stations are those that have been active for at least 30 years, and are still active).
Not only that, part of the fingerprinting being done gives some detail as to how much each ice source (Greenland, Antarctica, and non-ice-sheet glaciers) has contributed to sea level rise (SLR) and sea level fall (SLF) at each individual station.
I have provided two beta version graphs to illustrate the way it is working now (but it is going to work more robustly when it gets out of beta).
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| Fig. 2 New York, NY |
The SQL database contains records for the distances from each station to the various ice sources.
The SQL database also contains a percentage representing how much each ice source contributes to influencing each station's current sea level.
I use proximity to sources of influence, as the first analysis, to rough-out the initial picture.
The vertical numerical-column on the left side of each of the four depictions in each graph indicates the strength of influence (the "combined" is the sum of the other three).
The horizontal numbers at the bottom of each of the four sections in each graph indicates the years involved in that SLC fingerprint section.
The span of years and the pattern in each of the four sections of each of the two graphs has the same "look and feel", i.e., only the intensity of each influence source varies.
For example, in Fig. 1 you can seen that the left column numbers indicate that glaciers (Glacier Bay in this case) are the most influential players in this SLF part of the world, but in Fig. 2, you see Greenland being the most influential.
The essence of SLC fingerprinting is to identify the players that are influencing the global mean sea level, and if the influence changes these numbers will change and thereby tell us which ice sheet changed..
Super fingerprinting involves processing all individual tide gauge stations, and telling how much each of those SLC sources is contributing to that one location.
As of now, as you can see by the two graphs, I am into the preliminary algebra, and so forth, for doing that.
At the moment I have not plugged in the two modules that will supplement the fingerprinting and fine tune it.
More on that later.
But you get the picture (Cryosphere, Oceanography).
Stay tuned.