|Fig. 1 Ocean Bottom Pressure (OBP) format|
This new realm of using bottom pressure records has promise.
After all, it (bottom pressure science) was used to bust the Ghost Water that Dredd Blog went on and on about for quite a while (NASA Busts The Ghost).
Yes, regular readers know that the Ghost Water was discussed here on Dredd Blog for a long time before NASA did the gotcha on it (The Ghost-Water Constant, 2, 3, 4, 5, 6, 7, 8, 9).
I am using a new graph format (Fig. 1) for discussing this particular type of discovery.
So, I want to elaborate on it, because it has certain efficiencies that could be missed without careful consideration.
The dearth of long-term bottom pressure data means that we must use more short term volume in a lot of cases.
So, this type of graph stacks monthly data vertically (round dots) while running the annual data horizontally.
The annual orientation lines go from and to the month-oriented-stacks of measurements.
They enter and exit from different months sometimes, meaning the sea level (depth) or bottom pressure went through changes during the months of that year.
Some scientists believe that a single bottom pressure gauge station could tell us more than satellites or coastal tide gauge stations, in terms of cm or mm (tiny) size changes in sea level.
I now have over 1,400 stations and data ... but have not processed some of the data from some of those stations ... and I have 50 or so more stations to integrate into data_ville.
I have a raw data SQL table which is used to store and access hourly and daily measurements from those stations.
From that I have made a mean average table which has monthly granularity, as the graph at Fig. 1 shows.
Oh ... and I am using the TEOS-10 toolbox to generate P (water pressure) from in situ depth measurements.
And that is the stuff which a good sea level change (SLC) detection technique (of this type) is made of.
The previous post in this series is here.