Not exact matches
A hundred people gathering, analyzing, correcting or adjusting thousands of temperature data points for variances, etc. and «filling
in the
gaps» where there are no data points, is no better than these hundred people, the
thermometers themselves and their environment (i.e. has urbanization occurred, is the
thermometer next to an AC exhaust, building or asphalt parking lot, etc..)
But now he looks further and finds that not - so - coincidentally, the largest
gaps and most «inexplicable» differences occur
in the mid nineteen - nineties, the same years the BoM shifted from using old large Stevenson screens to electronic
thermometers.
Prepare the other bottle full of air by screwing on the top (with temperature probe /
thermometer in place) and plug any
gaps with Plasticine ™.
a Uncertainties (2 sigma) du to: data
gaps and random errors estimated by RSOA (heavy solid); SST bias - corrections (heavy dashes); urbanisation (light dashes); changes
in thermometer exposures on LAT (light solid).
By fixating on a minor detail, you have glossed right over all the real difficulties and challenges
in working out the probable error range for early temperature records, which include uncertainty about the properties of the
thermometers used and
gaps in the records.