Tidalgate: Climate Alarmists Caught Faking Sea Level Rise

The rise in cases of global warming fetishists getting caught doctoring climate numbers is as steep as the alleged rise in sea level.

This year alone we’ve reported, on average, a fresh report of alarmists cooking the books every single month.

We’re taking that as a sure sign of desperation as an increasingly larger majority of Americans have given up on believing the hot-air hocus pocus.

At any rate, the latest iteration of science magic comes from the folks at the Permanent Service for Mean Sea Level (PSMSL) in which it was discovered they were committing fraud by showing a rise in sea level.

Two scientists blew the whistle after it was discovered that data showing no rise or even a decrease in sea level was routinely under-reported or ignored altogether.

That’s what we called ‘fuzzy math’.

Here’s more from Breitbart…

Alarmist scientists have been caught red-handed tampering with raw data in order to exaggerate sea level rise.
The raw (unadjusted) data from three Indian Ocean gauges – Aden, Karachi and Mumbai – showed that local sea level trends in the last 140 years had been very gently rising, neutral or negative (ie sea levels had fallen).

But after the evidence had been adjusted by tidal records gatekeepers at the global databank Permanent Service for Mean Sea Level (PSMSL) it suddenly showed a sharp and dramatic rise.

The whistle was blown by two Australian scientists Dr. Albert Parker and Dr. Clifford Ollier in a paper for Earth Systems and Environment.

The paper – Is the Sea Level Stable at Aden, Yemen? – examines the discrepancies between raw and adjusted sea level data in Aden, Karachi and Mumbai.

Kenneth Richard at No Tricks Zone reports:

The authors expose how PSMSL data-adjusters make it appear that stable sea levels can be rendered to look like they are nonetheless rising at an accelerated pace.

The data-adjusters take misaligned and incomplete sea level data from tide gauges that show no sea level rise (or even a falling trend). Then, they subjectively and arbitrarily cobble them together, or realign them. In each case assessed, PSMSL data-adjusters lower the earlier misaligned rates and raise the more recent measurements. By doing so, they concoct a new linearly-rising trend.

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