THE National Oceanic and Atmospheric Administration reported that October in the US was marked by 63 record snowfalls and 115 lowest-ever temperatures.
Over the past few years, similar signs of colder than usual weather have been recorded all over the world, causing many people to question the still fashionable, but now long outdated, global warming alarmism. Yet individual weather events or spells, whether warmings or coolings, tell us nothing necessarily about true climate change.
Nonetheless, by coincidence, growing recognition of a threat of climatic cooling is correct, because since the turn of the 21st century all real world, long-term climate indicators have turned downwards. Global atmospheric temperature reached a peak in 1998, has not warmed since 1995 and, has been cooling since 2002. Some people, still under the thrall of the Intergovernmental Panel of Climate Change’s disproved projections of warming, seem surprised by this cooling trend, even to the point of denying it. But why?
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There are two fundamentally different ways in which computers can be used to project climate. The first is used by the modelling groups that provide climate projections to the IPCC. These groups deploy general circulation models, which use complex partial differential equations to describe the ocean-atmosphere climate system mathematically. When fed with appropriate initial data, these models can calculate possible future climate states. The models presume (wrongly) that we have a complete understanding of the climate system.
GCMs are subject to the well-known computer phenomenon of GIGO, which translates as “garbage in, God’s-truth out”.
Alternative computer projections of climate can be constructed using data on past climate change, by identifying mathematical (often rhythmic) patterns within them and projecting these patterns into the future. Such models are statistical and empirical, and make no presumptions about complete understanding; instead, they seek to recognise and project into the future the climate patterns that exist in real world data.
In 2001, Russian geologist Sergey Kotov used the mathematics of chaos to analyse the atmospheric temperature record of the past 4000 years from a Greenland ice core. Based on the pattern he recognised in the data, Kotov extrapolated cooling from 2000 to about 2030, followed by warming to the end of the century and 300 years of cooling thereafter.