Not exact matches
It comes down to what every scientist
knows too well — analyzing
data collected by different methods, and at different times, is a tricky business because some methods of collecting
ocean surface
temperatures are more accurate than others.
One of the subtle changes visible in the new
data - set is how the Amazon's greenness corresponds to one of the long -
known causes of rainfall or drought to the Amazon basin: changes in sea surface
temperatures in the eastern Pacific
Ocean, called the El Nino Southern Oscillation.
Subsurface
ocean temperature and salinity
data from a world - wide network of free - driftingfloats,
known as Argo, that constantly measure the
temperature and salinity of the upper 2,000 meters of the
ocean.
A well -
known issue with LGM proxies is that the most abundant type of proxy
data, using the species composition of tiny marine organisms called foraminifera, probably underestimates sea surface cooling over vast stretches of the tropical
oceans; other methods like alkenone and Mg / Ca ratios give colder
temperatures (but aren't all coherent either).
A
known problem with that dataset is that GISS Deletes Arctic And Southern
Ocean Sea Surface
Temperature (SST)
Data.
When he presented his misleading graph, when he said 97 % of climate scientists agree, (
knowing full well the actual situation that the number is bogus and misleading,) when he mentions adjustments to satellite
data but not to surface
temperatures with major past cooling and absurd derived precision to.005 * C, when he defends precision in surface global averages but ignores major estimates of temps and krigging in Arctic, Africa, Asia and
oceans or Antarctica, he forfeits credibility.
What we
know with some certainty about
oceans (if
data is to be believed) is that the intra-annual change in the insolation effects (suspiciously) high symmetricity in the N. Atlantic's sea surface
temperature, cantered on 1st of March and 31st of August.
The tiny, close - knit clique of climate scientists who invented and now drive the «global warming» fraud — for fraud is what we now
know it to be — tampered with
temperature data so assiduously that, on the recent admission of one of them, land
temperatures since 1980 have risen twice as fast as
ocean temperatures.
C. warmer than it was with respect to the start of the industrial revolution, I believe that it would be necessary to use actual average global land -
ocean surface
temperature data (which would be imperfectly
known that far back).
The new ERSST4
temperature series includes an» (i) an increasing amount of
ocean data from buoys, which are slightly different than
data from ships; (ii) an increasing amount of ship
data from engine intake thermometers, which are slightly different than
data from bucket sea - water
temperatures; and (iii) a large increase in land - station
data...» and «More generally, buoy
data have been proven to be more accurate and reliable than ship
data, with better
known instrument characteristics and automated sampling.»
As just one example; «How we can
know an average global sea surface
temperature back to 1850 when so much of the world was unexplored let alone its
oceans measured» should be just one example that should make scientists question whether the models they build are actually using reliable
data, or whether they think they already
know the answer and therefore just use
data that supports it,
no matter its doubtful provenance.
We have lots of
data on the surface
temperatures and now even the top 700m of water or so, but there is so much energy storage in the deeper
oceans that we unfortunately don't
know all that much about.