“Lithgow Mercury (NSW : 1898-1954) / Fri 27 Sep 1929 / Page 3 /
EUROPE EUROPEAN GLACIERS In the opinion of M. Auguste Bouchayer, scientist and engineer, there were no glaciers in Europe in th: Middle Ages. In a recent communication to the Dauphine Scientific Society, he submits the conclusion that since the Middle Ages there has been considerable fall in the maximum summer temperature. Consequently winter snows and ice accumulations which were formerly melted in summer are no longer thus dissipated Mont Blanc, he points out, is under 16,000 feet in height, and, as in the thirteenth: century the maximum summer temperature was capable of melting snow and ice at a much greater height than that, there could in those times be no eternal snow on its summit. Glaciers, he adds, are dependent for their formation and existence on eternal snows; therefore there can have been no glaciers on Mont Blanc in the Middle Ages.”
Disrupting the Borg is expensive and time consuming!
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I suggest the same during the Roman Warm Period. Are we seriously to believe Hannibal’s elephants traversed glaciers in the Alps in order to reach Italy?
I found even more indicators.
Recently I stumbled upon the tiny fact that the Jackpot of Archaic human history – Denizovan Cave – is located in Siberia, up in the mountains.
This cave has been populated for tens of thousands of year by Neanderthals,Denizovans etc.
These people usually avoided cold regions as they didn’t had that many skills in creating the necessary clothes to survive
in such regions and finding food in Siberian mountains ain’t a walk in the park either..
Yet they lived in a cave with an average temperature at the freezing point,
instead of moving some hundreds meters down.
Me thinks that the main reason for chosing such an unfavourable location
may have been that this region was way warmer during that Period of time.
There seem to be all kinds of facts that show computer simulations are simplistic. I used to run Monte Carlo simulations, and decided that the best they offered was how resulting conditions varied based to tweaks to trends in various parameters, but they don’t say which of those trends will actually happen.
In the past you thought up simplifications of aspects of a phenomenon and tried to get an analytical solution which was of limited scope and inaccurate, but provided insight and understanding. Above all, these simplifications provided some idea of the relevance of the various individual effects to the phenomenon of interest. They could be refined by simple numerical codes, and spreadsheet analysis, which gave initial indication as to how wrong the approximate analytical solutions were. This knowledge, which is essential for the correct interpretation of a more sophisticated model results, does not seem to be sought anymore. On the insistence of a technically pig-ignorant management, the expensive computer game is developed and treated as an oracle. When used for research, where the objective is to discover which phenomena a relevant to the subject under investigation, such models are clearly useless, because that is precisely the information needed to specify the model in the first place. Hence all model development must be iterative, and it is impossible to predict when it is in a perfect state to predict the future reliably. Fundamentally, it is impossible to prove the absence of an omission.