Pre-1970s ‘Global’ Sea Surface Temp Measurements Are No More Reliable Or Accurate Than Guessing

[rangerrebew]

 from Germany - by Pierre L. Gosselin
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Pre-1970s ‘Global’ Sea Surface Temp Measurements Are No More Reliable Or Accurate Than Guessing
 
By Kenneth Richard on 8. September 2022

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The accuracy of the long-term global instrumental temperature record – especially the data obtained before the 1970s – wholly rests on the assumption that sailors obtained precisely reliable temperature measurements as they pulled wooden or canvas buckets out of the water from ships at random depths, locations, and times of day. They didn’t.

It has long been known that pulling a bucket out of the water from a ship is rooted in serious error, rendering the sea surface temperature (SST) data obtained nearly useless. Ashford (1948) summarized some of the more salient reliability problems with this method of measurement.

https://notrickszone.com/2022/09/08/pre-1970s-global-sea-surface-temp-measurements-are-no-more-reliable-or-accurate-than-guessing/

[Smokin Joe]

If the data prior to 1970 is deemed inaccurate, than the segment of sea surface temperatures represents only 52 years. That is such a ridiculously small segment of the total data as to be negligible.

(Since the dawn of the Paleozoic, 0.0000086%, and since humans (roughly 4 million years) 0.0013% of the data, 0.43% since the last ice age (12,000 years ago)).

For all practical purposes, a mere point on a line, and not enough to set any meaningful trends, hardly reflective of a significant portion of the total data set.

[Kamaji]

If the data prior to 1970 is deemed inaccurate, than the segment of sea surface temperatures represents only 52 years. That is such a ridiculously small segment of the total data as to be negligible.

(Since the dawn of the Paleozoic, 0.0000086%, and since humans (roughly 4 million years) 0.0013% of the data, 0.43% since the last ice age (12,000 years ago)).

For all practical purposes, a mere point on a line, and not enough to set any meaningful trends, hardly reflective of a significant portion of the total data set.