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"And ye shall know the truth, and the truth shall make you free." - John 8:32
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Date:  December 13, 2007
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Topic category:  Other/General

Global Warming Since 1980 exaggerated by 100%
Article courtesy: JunkScience.com

The temperature trend over land between 1980-2002 is estimated to exaggerate global warming during that time by 100%, according to a new paper by Dr. Ross McKitrick and Dr. Pat Michaels published in the Journal of Geophysical Research-Atmospheres (December 2007).

McKitrick and Michaels write:

[We] have concluded that the manipulations for the steep post-1980 period are inadequate, and the global temperature graph showing warming is an exaggeration, at least in the past few decades. Along the way I have also found that the UN agency promoting the global temperature graph has made false claims about the quality of their data. The graph comes from data collected in weather stations around the world. Other graphs come from weather satellites and from networks of weather balloons that monitor layers of the atmosphere. These other graphs didn't show as much warming as the weather station data, even though they measure at heights where there is supposed to be even more greenhouse gas-induced warming than at the surface. The discrepancy is especially clear in the tropics.

The surface-measured data has many well-known problems. Over the post-war era, equipment has changed, station sites have been moved, and the time of day at which the data are collected has changed. Many long-term weather records come from in or near cities, which have gotten warmer as they grow. Many poor countries have sparse weather station records, and few resources to ensure data quality. Fewer than one-third of the weather stations operating in the 1970s remain in operation. When the Soviet Union collapsed in the early 1990s, more than half the world's weather stations were closed in a four year span, which means that we can't really compare today's average to that from the 1980s.

Read the background summary (PDF): Background Summary

Read the full article (PDF): Quantifying the influence of anthropogenic surface processes and inhomogeneities on gridded global climate data

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