There is NO climate emergency! by Dr. Jay Lehr and Tom Harris

There is NO climate emergency!

Climate models predict disaster – but real world evidence shows no such thing

Dr. Jay Lehr & Tom Harris

Speaking at the 13th International Conference on Climate Change, held July 25 in Washington, DC, Dr. Roy W. Spencer of the University of Alabama in Huntsville said: “There is no climate crisis. Even if all the warming we’ve seen in any observational dataset is due to increasing CO2 (carbon dioxide), which I don’t believe it is, it’s probably too small for any person to feel in their lifetime.”

And yet, that same month, Democrat Representatives Alexandria Ocasio-Cortez and Earl Blumenauer and Democrat Senator Bernie Sanders introduced a non-binding resolution that demands a “national, social, industrial and economic mobilization” – to “halt, reverse, mitigate and prepare for the consequences of the climate emergency, and to restore the climate for future generations.” Six Democrat presidential candidates immediately supported the resolution, as a way to spur “sweeping reforms” to stem a “dangerous rise in global temperatures.”

In their view, apparently, asserting a climate emergency makes it a reality and justifies national or even global control and transformation of our energy, social, industrial, economic, legal and social systems.

Thus, in an effort to drum up support for its costly “carbon tax,” the Liberal government of Canada has also declared a climate emergency. So has Britain’s Parliament, to back up a call by opposition Labour Party leader Jeremy Corbyn for “rapid and dramatic action” to protect the environment , following weeks of protests by the Extinction Rebellion climate movement, the Reuters News Agency reported.

The Climate Mobilization group proclaimed that “Over 790 local governments in 17 countries have declared a climate emergency and committed to action to drive down emissions at emergency speed.”

In considering whether this makes any sense, let’s take a page out of Blumenauer’s book and, as he put it, “tell the truth about the nature of this threat.”

The so-called emergency is based on nothing but the over-active imaginations of activists who put too much faith in computer model forecasts, while ignoring historic records and observational data that tell us nothing extraordinary or unprecedented is happening – and demonstrate that the models are wrong.

NASA’s Goddard Institute for Space Studies asserts that between 1880 and 2017 there has been only slightly more than 1 degree C (1.8 F) rise in the so-called global average temperature, despite a supposed 40% rise in atmospheric CO2 concentration. The National Oceanic and Atmospheric Administration (NOAA) database of state-wide extreme weather records, arguably the best of its kind in the world, shows that so far in 2019 only one weather record has been set: the lowest temperature in Illinois history.

In 2018, the only records set were: the largest hailstone in Alabama history; the most rainfall in a 24-hour period in Hawaii; and the most precipitation in one year in Maryland, North Carolina, South Carolina and West Virginia. Many of these records broke, sometimes barely, records that had stood for many decades. 

In 2017, the only record set was for the fastest wind gust in California. No records were set in 2016. In 2015, only two records: the most precipitation in a year in Arkansas and the largest hailstone in Illinois history. In 2014, only one record: the most rainfall in a 24-hour period in New York.

And so it goes, year after year, as we move into the past with the occasional state record set, as one would expect due to natural climate variability. In the first 18+ years of the 21st century, only two states recorded their maximum temperatures: South Carolina in 2012 and South Dakota in 2006. Contrast that with 1936, when 15 states set their all-time maximum temperature records.

Meanwhile, NOAA’s updated coastal sea level tide gauge data for 2016 show no evidence that the rate of sea level rise is accelerating. Seas are rising no faster than they have for many decades.

NOAA’s hurricane records go back to 1851. The data show that for almost 12 consecutive years – October 24, 2005 (after Wilma) until August 25, 2017 (Harvey) – not one major or moderate (Category 3-5) hurricane made landfall in the continental United States. That is the longest such period in history. In 2018, for the first time ever, not one “violent” (F4-5) tornado touched down in the United States.

To the great frustration of climate alarmists, the real-world instrumental record clearly shows that, not only is no climate emergency underway, but today’s climate is actually quite stable. Aside from the drive for world socialism, the climate scare is based on only one thing: computer model forecasts of what some say could happen someday if we do not restrict our use of fossil fuels to reduce CO2 emissions.

However, the models do not work. That’s because they focus predominantly on greenhouse gases, and because scientists do not understand planetary climate processes well enough to know what mathematical equations to program into the models. Observations demonstrate that the actual rate of warming between 1979 and 2017 is one-third of what the average of 102 different climate models predicted. In fact, that climate model average is now almost one full degree Fahrenheit above what satellites have measured!

It is also important to realize that your own local weather forecasts just one week ahead are accurate only half the time. Let’s drill a bit deeper into this scandal.

For the better part of three decades, governments have financed more than one hundred efforts to model our planet. They continue to do so even though none of the models has been able to recreate (hindcast) the known past, or after a decade of study accurately predict what was to happen just ten years later.

People are led astray, because generally speaking, the public has no clue what mathematical models actually are, how they work, and what they can and cannot do. To provide a simple insight into this complex subject, before we build airplanes or buildings, we make small scale physical models and test them against the stress and performances that will be required of them when they are actually built.

When dealing with systems that are totally beyond our control, we try to describe them with computer programs or mathematical equations that we hope may give answers to questions we have about how the system works today and in the future. We attempt to understand the variables that affect the system’s operation. Then we alter the variables and see how the outcomes are affected. This is called sensitivity testing and is the very best use of mathematical models.

Historically, we were never foolish enough to make economic decisions based on predictions calculated from equations we think might control how nature works. Perhaps the most active area for mathematical modeling is the economy and stock market. No one has ever succeeded in getting it right, and they have far fewer variables than Earth’s climate, which is governed by many powerful natural forces.

Yet, today, in the climate sphere, we are doing just that – and using the models to justify massive changes in our energy and economic systems. While no one knows all the variables affecting climate, there are likely hundreds of them. Here are some important factors for which we have limited understanding:

1) seasonal, annual and decadal changes in solar irradiation; 2) energy flows between the ocean and atmosphere; 3) energy flows between the air and land; 4) balance between Earth’s water, water vapor and ice; 5) the impacts of clouds, both trapping heat below and preventing solar radiation from reaching Earth; 6) understanding the planet’s ice; 7) changes in mass among ice sheets, seal levels and glaciers; 8) our ability to factor in hurricanes and tornadoes; 9) the impact of vegetation on temperature; 10) tectonic movements on ocean bottoms; 11) differential rotation between Earth’s surface and its core; and 12) solar system magnetic field and gravitational interactions.

Despite this vast uncertainty, today’s modelers claim they can forecast our planet’s climate for decades or even a century in the future – by looking primarily or solely at “greenhouse gases.” And they want our leaders to manage our energy, economic, agricultural, transportation and other systems accordingly.

Yes, there is a climate-related emergency. It is the threat to our way of life in the free democratic world – imposed on us by climate alarmists, many of whom do not really care about climate change, people or the environment. It is an assault no less frightening and damaging than the wars that have plagued mankind since the dawn of time. It’s time for people and governments to stand up to the power-hungry alarmists.

Dr. Jay Lehr is Senior Policy Advisor with of the Ottawa, Canada-based International Climate Science Coalition (ICSC) and former Science Director of The Heartland Institute, in Arlington Heights, Illinois. Tom Harris is Executive Director of ICSC and a policy advisor to Heartland.    

Overheated claims on temperature records by Dr. Tim Ball and Tom Harris

It’s time for sober second thoughts on climate alarms

Now that the excitement has died down over the news that Earth’s surface temperature made 2017 one of the hottest years on record, it is time for sober second thoughts.

Did the January 18 announcement by the National Oceanic and Atmospheric Administration (NOAA) that 2017 was our planet’s third-hottest year since 1880, and NASA’s claim that it was the second hottest year, actually mean anything?

Although the Los Angeles Times called 2017 “a top-three scorcher for planet Earth,” neither the NOAA nor the NASA records are significant. One would naturally expect the warmest years to come during the most recent years of a warming trend. And thank goodness we have been in a gradual warming trend since the depths of the Little Ice Age in the late 1600s! Back then, the River Thames was covered by a meter of ice, as Jan Grifier’s 1683 painting “The Great Frost’ illustrates.

Regardless, recent changes have been too small for even most thermometers to notice. More important, they are often less than the government’s estimates of uncertainty in the measurements. In fact, we lack the data to properly and scientifically compare today’s temperatures with the past.

This is because, until the 1960s, surface temperature data was collected using mercury thermometers located at weather stations situated mostly in the United States, Japan, the United Kingdom and eastern Australia. Most of the rest of the planet had very few temperature sensing stations. And none of the Earth’s oceans, which constitute 70 percent of the planet’s surface area, had more than an occasional station separated from its neighbors by thousands of kilometers or miles.

The data collected at the weather stations in this sparse grid had, at best, an accuracy of +/-0.5 degrees Celsius (0.9 degrees Fahrenheit). In most cases, the real-world accuracy was no better than +/-1 deg C (1.8 deg F). Averaging such poor data in an attempt to determine global conditions cannot yield anything meaningful. Displaying average global temperature to tenths or even hundreds of a degree, as is done in the NOAA and NASA graphs, clearly defies common sense.

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 those by NOAA and NASA. This was done initially because governments believed satellite monitoring could take over from most of the ground surface data collection.

However, the satellites did not show the warming forecast by computer models, which had become so crucial to climate studies and energy policy-making. So bureaucrats closed most of the colder rural surface temperature sensing stations – the ones furthest from much warmer urban areas – thereby yielding the warming desired for political purposes.

Today, virtually no data exist for approximately 85 percent of the earth’s surface. Indeed, fewer weather stations are in operation now than in 1960.

That means surface temperature computations by NOAA and NASA after about 1980 are meaningless. Combining this with the problems with earlier data renders an unavoidable conclusion: It is not possible to know how Earth’s so-called average surface temperature 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 policy recommendations produced by the United Nations Intergovernmental Panel on Climate Change (IPCC) and used to justify eliminating fossil fuels, and replacing them with renewable energy.

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 the surface, as well as on it. 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 represents global 24/7 coverage and is 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 the IPCC, NOAA and NASA tout as critical to understanding global warming. Besides, space-based temperature data collection did not start until 1979, and 30 years of weather data are required to generate a single data point on a climate graph.

So the satellite record is far too short to allow us to come to 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,  and so on – to be able to determine how today’s climate differs from the past. Lacking such fundamental data, climate forecasts cited by climate activists therefore have no connection with the real world.

British Professor Hubert Lamb is often identified as the founder of modern climatology. In his comprehensive 1972 treatise, Climate: Past, Present and Future, he clearly showed that it is not possible to understand climate change without having vast amounts of accurate weather data over long time frames. Lamb also noted that funding for improving the weather database was dwarfed by money being spent on computer models and theorizing. He warned that this would result in wild and unsubstantiated theories and assertions, while predictions failed to improve. That is precisely what happened.

Each and every prediction made by the computer models cited by the IPCC have turned out to be incorrect. Indeed, the first predictions they made for the IPCC’s 1990 Assessment Report were so wrong that the panel started to call them “projections” and offered low, medium and high “confidence” ranges for future guesstimates, which journalists, politicians and others nevertheless treated as reliable predictions for future weather and climate.

IPCC members seemed to conclude that, if they provided a broad enough range of forecasts, one was bound to be correct. Yet, even that was too optimistic. All three ranges predicted by the IPCC have turned out to be wrong.

US Environmental Protection Agency (EPA) Administrator Scott Pruitt is right to speak about the need for a full blown public debate among scientists about the causes and consequences of climate change. In his February 6 television interview on KSNV, an NBC affiliate in Las Vegas, Mr. Pruitt explained:

“There are very important questions around the climate issue that folks really don’t get to. And that’s one of the reasons why I’ve talked about having an honest, open, transparent debate about what do we know, and what don’t we know, so the American people can be informed and they can make decisions on their own with respect to these issues.”

On January 30, Pruitt told the Senate Environment and Public Works Committee that a “red team-blue team exercise” (an EPA-sponsored debate between climate scientists holding differing views) is under consideration. It is crucially important that such a debate take place.

The public needs to understand that even the most basic assumptions underlying climate concerns are either in doubt or simply wrong. The campaign to force America, Canada, Europe and the rest of the world to switch from abundant and affordable coal and other fossil fuels – to expensive, unreliable, land intensive alternatives – supposedly to control Earth’s always fluctuating climate, will then finally be exposed for what it really is: the greatest, most damaging hoax in history.

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.

My Note:

I added the yellow highlighting.  This is a point I have also long made.  I will add another point, much of the historical data has been "corrected" in recent times and the corrections are very substantial compared to the temperature trends and somehow almost always make the older temperatures colder.  If the older data really does need to have such large corrections, then the older data is worthless as scientific data and should be treated as such.  There is no point in making the corrections on such a wobbly, uncertain base.

Avalanches of global warming alarmism by Dr. Tim Ball and Tom Harris

UN climate cataclysm predictions have no basis in fact and should not be taken seriously

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.

___________

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.