Avalanches of Global Warming Alarmism
Throughout the United Nations Climate Change Conference wrapping up in Bonn, Germany this week, the world has been inundated with the usual avalanche of manmade global warming alarmism.
Throughout the United Nations Climate Change Conference wrapping up in Bonn, Germany this week, the world has been inundated with the usual avalanche of manmade global warming alarmism. The UN expects us to believe that extreme weather, shrinking sea ice, and sea level rise will soon become much worse if we do not quickly phase out our use of fossil fuels that provide over 80% of the world’s energy.
There is essentially nothing to support these alarms, of course. We simply do not have adequate observational data required to know or understand what has happened over the past century and a half. Meaningful forecasts of future climate conditions are therefore impossible.
Nevertheless, this year’s session has been especially intense, since the meeting is being chaired by the island nation of Fiji, a government that has taken climate change fears to extremes.
COP23 (the 23rd meeting of the Conference of the Parties on climate change) conference president, Fijian Prime Minister Frank Bainimarama, has called for “an absolute dedication to meet the 1.5-degree target.” This is the arbitrary and most stringent goal suggested by the Paris Agreement. In support of Bainimarama’s position, the COP23/Fiji Website repeatedly cites frightening forecasts made by the UN Intergovernmental Panel on Climate Change (IPCC).
One prediction stated: “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 formulas to represent atmospheric conditions, and reflect the hypothesis that carbon dioxide is the principal factor driving planetary warming and climate change.
However, we still do not have a comprehensive, workable “theory of climate,” and thus do not have valid formulas to properly represent how the atmosphere functions. We also lack data to properly understand what weather was like over most of the planet even in the recent past. Without a good understanding of past weather conditions, we have no way to know the history, or the future, of average weather conditions – what we call the climate.
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. This was produced by the Hadley Centre and the University of East Anglia’s Climatic Research Unit, both based in the United Kingdom.
Until the 1960s, HadCRUT4 temperature data were 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 occasional stations separated from the next ones by thousands of kilometers of no data. Temperatures over these vast empty areas were simply “guesstimated.”
Making matters even worse, data collected at weather stations in this sparse grid had, at best, an accuracy of +/-0.5 degrees Celsius (0.9 degrees F), and oftentimes no better than +/-1.0 degree C. Averaging such poor data in an attempt to determine past or future global conditions cannot yield anything meaningful – and certainly nothing accurate or valid enough to use in making critical energy policy decisions.
Modern weather station surface temperature data are now collected using precision thermocouples. But, starting in the 1970s, less and less ground surface temperature data was used for plots such as HadCRUT4. Initially, this was done because governments believed satellite monitoring could take over from most of the ground surface data collection.
However, the satellites did not show the warming that climate activists and computer models had forecast. So, bureaucrats closed many of the colder rural surface temperature sensing stations, while many stations in the vast frigid area of Siberia were closed for economic and other reasons. The net result was that cold temperature data disappeared from more recent records – thereby creating artificial warming trends, the very warming that alarmists predicted, desired and needed for political purposes.
Today, we have 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.
That means HadCRUT4 and other surface temperature computations after about 1980 are meaningless. Combining this with the sensitivity (accuracy) problems in the early data, and the fact that we have almost no long-term data above Earth’s surface, the conclusion is unavoidable:
It is not possible to know how or whether Earth’s climate has varied over the past century and a half. The data are therefore useless for input to the computer models that form the basis of the IPCC’s conclusions.
But the lack of adequate surface data is only the start of the problem. The computer models on which the climate scare is based are mathematical constructions that require the input of data above Earth’s surface as well. The models divide the atmosphere into cubes piled on top of each other, ideally with wind, humidity, cloud cover and temperature conditions known for different altitudes. But we currently have even less data above the surface than on it, and there is essentially no historical data at altitude.
Many people think the planet is adequately covered by satellite observations – data that is almost global 24/7 coverage and far more accurate than anything determined at weather stations. But the satellites are unable to collect data from the north and south poles, regions that are touted as critical to understanding global warming.
Moreover, space-based temperature data collection did not start until 1979, and 30 years of weather data is required to generate a single data point on a climate graph. The satellite record is far too short to allow us to come to any useful conclusions about climate change.
In fact, there is insufficient data of any kind – temperature, land and sea ice, glaciers, sea level, extreme weather, ocean pH, et cetera – to be able to determine how today’s climate differs from the past, much less predict the future. The IPCC’s climate forecasts have no connection with the real world.
Sherlock Holmes warned that “It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.”
Sir Arthur Conan Doyle wrote this famous quote for fiction, of course. But it applies perfectly to today’s global warming debate, especially where the IPCC’s scary conclusions and forecasts are involved. Of course, this will not stop Bainimarama and other conference leaders from citing IPCC “science” in support of their warnings of future climate catastrophe.
We should use these facts to spotlight and embarrass them every time.