|Sea Level Zones|
Today, I am coming up for air to report that I have downloaded the latest data from PSMSL and GISS (up to 12/31/15).
I am now using all of it, to the exclusion of 2016 data (there is too little of it at this time).
This was a time to also rebuild modules and to put them into shared libraries ('A.DLL' or 'dynamic link library' in Windows nomenclature; in Linux it would be an 'lib.so' such as 'libnnn.so' for example, both mean shared library).
Shared libraries can be used by multiple programs and/or multiple users at the same time, hence the name 'shared library.'
Anyway, that took up time while saving some disk space.
Which made more room for downloading and adding the monthly value database for sea levels in the PSMSL world of tide gauge records (PSMSL Home).
I now have the annual and the monthly values in the same database, but combined into the same table and row (e.g. "station num, year, annual mm, monthly mean mm").
In the downloaded tables, the monthly database had more stations (and more good year values) than the annual database did, so now I use 1,441 PSMSL tide gauge stations (up about 900 stations).
None are excluded if they pass muster, but not all of them have a lot of years (the lowest is two years as I recall).
Additionally, there are now 7,364 GISS weather stations in the database.
While working on the data in preparation for putting it into my SQL system, I was reminded of the plan to try to discover more evidence on the thermal expansion hypothesis of sea level.
"Thermal expansion is the main factor in sea level rise" is an echo-chamber hypothesis within the thinking of the Bathtub Model crowd (The Bathtub Model Doesn't Hold Water).
As I went through the data, doing graphs and print outs to test the code that now makes up the shared libraries, I became more convinced that the Thermal Expansion Hypothesis, as well as the Bathtub Model, are quite wrong.
Or. as professor Mitrovica says about the Bathtub Model: "It isn't even close to the truth."
Like I said, I have been doing print outs with which to make graphs and to test the data I just updated.
In so doing I notice a combo of graphs tht may work well in the pursuit of every angle available with which to analyze the issue.
I will present the graphs and data in sequential posts, each focusing on one Zone's subquadrant area.
The Zone subquadrant presentation links list is:
Here are some recent sea level change scientific papers:
The Washington Post talks about this paper:
"Abstract. Even if greenhouse gas emissions were stopped today, sea level would continue to rise for centuries, with the long-term sea-level commitment of a 2 °C warmer world significantly exceeding 2 m. In view of the potential implications for coastal populations and ecosystems worldwide, we investigate, from an ice-dynamic perspective, the possibility of delaying sea-level rise by pumping ocean water onto the surface of the Antarctic ice sheet. We find that due to wave propagation ice is discharged much faster back into the ocean than would be expected from a pure advection with surface velocities. The delay time depends strongly on the distance from the coastline at which the additional mass is placed and less strongly on the rate of sea-level rise that is mitigated. A millennium-scale storage of at least 80 % of the additional ice requires placing it at a distance of at least 700 km from the coastline. The pumping energy required to elevate the potential energy of ocean water to mitigate the currently observed 3 mm yr−1 will exceed 7 % of the current global primary energy supply. At the same time, the approach offers a comprehensive protection for entire coastlines particularly including regions that cannot be protected by dikes."(Delaying future sea-level rise by storing water in Antarctica)
Antarctica events hypothetically tied to Earth's Wobble (Axial Rotation).
I have posted about that in a few posts (A Savvy Ecocosmological Earth Calendar - Revisited).
The next post in this series is here, the previous post in this series is here.