Yes, significant changes to climactic patterns are typically seen as evidence of climate change.
For a time I thought past predictions of changes to climactic patters
in the near future by computer simulation based on climate models are
seen as evidence of climate changes. If results of climate modelling reported
in 2000's are in line with changes in climate changes measured in the following
decade of 2010--2020 then the climate model employed is verified.
This is indeed how models developed in environmental science (and
other branches of science as well). Many years ago an environmental
engineering and consultant company located somewhere in South West
Ontario were approached by government administrators from Southern
China on modelling air quality in the Pearl Delta Region. The company
was later offered a lucrative contract. What earned them the offer? They
deployed a model developed by some eminent environment institute
in the U.S. to perform simulations based on data provided by their clients.
As it turned out the model predicted distribution of pollutants in the
atmosphere over time in agreement with data obtained at a later time.
To the best of my knowledge no climate models have the capability to
perform simulation of future global climate pattern based on past and
projected global carbon emission level. If I am wrong and such models
do exist you have to checked if past predictions of the models, says
changes in hurricane frequency in the Gulf of Mexico or the entire
Pacific Ocean turned out to be correct.
Penchant for calling climate skeptics science denier is one
defining characteristic of climate sheeple I suggest it is time
for credulous climate sheeple to look into the science of
climate change to decide for themselves if climate catastrophe
beyond the tipping point of climate change is awaiting them.
Here is a report I recommend to climate sheeple who may
want to brush up their literacy in climate modelling. A serious
study of climate science could lift the sheeple out of their
bliss of ignorance and even better enable them to continue
burning fossil fuel on a good conscience.
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The origins of computer weather prediction and climate modeling
Peter Lynch
Meteorology and Climate Centre, School of Mathematical Sciences, University College Dublin, Belfield, Ireland
Abstract
Numerical simulation of an ever-increasing range of geophysical phenomena is adding enormously to our understanding of complex processes in the Earth system. The consequences for mankind of ongoing climate change will be far-reaching. Earth System Models are capable of replicating climate regimes of past millennia and are the best means we have of predicting the future of our climate.
The basic ideas of numerical forecasting and climate modeling were developed about a century ago, long before the first electronic computer was constructed. There were several major practical obstacles to be overcome before numerical prediction could be put into practice. A fuller understanding of atmospheric dynamics allowed the development of simplified systems of equations; regular radiosonde observations of the free atmosphere and, later, satellite data, provided the initial conditions; stable finite difference schemes were developed; and powerful electronic computers provided a practical means of carrying out the prodigious calculations required to predict the changes in the weather.
Progress in weather forecasting and in climate modeling over the past 50 years has been dramatic. In this presentation, we will trace the history of computer forecasting through the ENIAC integrations to the present day. The useful range of deterministic prediction is increasing by about one day each decade, and our understanding of climate change is growing rapidly as Earth System Models of ever-increasing sophistication are developed.
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Lynch P. The origins of computer weather prediction and climate modeling. Journal of computational physics. 2008 Mar 20;227(7):3431-44.
"Once in a century" events do happen but when they start happening on a regular basis, you need to examine your opinions.
