With the United Nations Climate Change Conference starting on Monday in Bonn, Germany, we need to brace ourselves for an avalanche of global warming alarmism. We’ll be told that extreme weather, sea level rise, and shrinking sea ice are all about to get much worse if we do not quickly phase out our use of fossil fuels.
What will make this session especially intense is that this year’s meeting is being presided over by Fiji, a government that has taken the climate change fears to extremes.
Conference president Fijian Prime Minister Frank Bainimarama calls for “an absolute dedication to meet the 1.5-degree target,” the most stringent goal suggested by the Paris Agreement. In support of Bainimarama’s position, the COP23/Fiji Website repeatedly cites the frightening forecasts of the UN Intergovernmental Panel on Climate Change (IPCC), stating, for example, “The IPCC recently reported that temperatures will significantly increase in the Sahel and Southern African regions, rainfall will significantly decrease, and tropical storms will become more frequent and intense, with a projected 20 per cent increase in cyclone activity.”
To make such dire forecasts, the IPCC relies on computerized models built on data and formulae to represent atmospheric conditions. Besides the fact that we lack a comprehensive ‘theory of climate,’ and so do not have valid formulae to properly represent how the atmosphere functions, we also lack the data to properly understand what weather was like over most of the planet even in the recent past. And, without a good understanding of past weather conditions, we have no way to know the history of its average condition—the climate. Meaningful forecasts of future climate change are therefore impossible.
An important data set used by the computer models cited by the IPCC is the ‘HadCRUT4’ global average temperature history for the past 167 years produced by the Climatic Research Unit at the University of East Anglia, and the Hadley Centre, both based in the United Kingdom.
Until the 1960s, HadCRUT4 temperature data was collected using mercury thermometers located at weather stations situated mostly in the United States, Japan, the UK, and eastern Australia. Most of the rest of the planet had very few temperature sensing stations. And none of the Earth’s oceans, which cover 70% of the planet, had more than the occasional station separated from its neighbor by thousands of kilometers.
The data collected at weather stations in this sparse grid had, at best, an accuracy of +/-0.5 degrees Celsius, often times no better than +/-1 degree. Averaging such poor data in an attempt to determine global conditions cannot yield anything meaningful.
Modern weather station surface temperature data is now collected using precision thermocouples. But, starting in the 1970s, less and less ground surface temperature data was used for plots such as HadCRUT4. This was done initially because governments believed that satellite monitoring could take over from most of the ground surface data collection. But the satellites did not show the warming forecast by computer models. So, bureaucrats closed most of the colder rural surface temperature sensing stations, thereby yielding the warming desired for political purposes.
Today, there is virtually no data for approximately 85% of the Earth’s surface. Indeed, there are fewer weather stations in operation now than there were in 1960.
So, the HadCRUT4 and other surface temperature computations after about 1980 are meaningless. Combining this with the problems with the early data, and the fact that we have almost no long-term data above the surface, the conclusion is unavoidable: it is not possible to know how the Earth’s climate has varied over the past century and a half. The data is therefore useless for input to the computer models that form the basis of the IPCC’s conclusions.
In fact, there is insufficient data of any kind—temperature, land and sea ice, glaciers, sea level, extreme weather, ocean pH, etc.—to be able to determine how today’s climate differs from the past. So, the IPCC’s climate forecasts have no connection with the real world.
This will not stop Bainimarama and other conference leaders from citing the IPCC in support of their warnings of future climate catastrophe. No one should take them seriously.
Dr. Tim Ball is an environmental consultant and former climatology professor at the University of Winnipeg in Manitoba. Tom Harris is executive director of the Ottawa, Canada-based International Climate Science Coalition.
Views expressed in op-eds are not the views of The Daily Caller.