Would you bet your paycheck on a weather forecast?

UN climate forecasts are consistently high … consistently wrong … and used to drive policy

Guest essay by Dr. Tim Ball and Tom Harris

Dr. Thomas Sowell, Senior Fellow at Stanford University’s Hoover Institution, summarized the problem the world faces with climate change policy:

“Would you bet your paycheck on the weather forecast for tomorrow? If not, then why should this country bet billions on global warming predictions that have even less foundation?”

Sowell is right to be skeptical. Meteorologists can’t forecast the weather much beyond 48 hours, as the degree of accuracy diminishes rapidly with every additional day. Yet the same weather agencies, often using the same computer models, since 1990 have said with almost absolute certainty that their 50- and 100-year forecasts are correct. They maintain this illusion today, even though all their long-term forecasts have been wrong.

Moreover, it’s not just your paycheck that you would be putting at risk. It’s reliable, affordable energy for everything you do, and for those you rely on for goods and services. It’s your living standards and future – and your children’s future.

It’s the health and wellbeing of every person in every modern, industrialized nation on earth – and of every person in poor developing countries who dreams of having living standards and opportunities approaching those we are blessed with.

The global warming deception worked because most people don’t know the difference between weather, climate and meteorology. This confusion arose partly because of the historical development of each.

Climate came first, with the word originating from the Greek word for inclination. The ancient Greeks realized that the climate of a region, and how it changed through the year, was primarily determined by the angle of the Sun’s rays. Beyond that, they used evidence from experience and historical patterns.

Aristotle’s student and philosophical successor Theophrastus (371–287 BC) wrote the book Meteorological Phenomena, sometimes called the Book of Signs. Theophrastus was not referring to astrological signs, but weather signs such as the red sky observation that is neatly summed up by the old, and generally correct, adage: “Red sky in the morning, sailors take warning. Red sky at night, sailors’ delight.”

The Greeks developed short-term forecasts based on observations made over hundreds of years. This use of long-term signs to try and determine short-term weather pervades and guides all communities because of its impact on their food supply. This became more important when humans switched from hunter-gatherer to sedentary agricultural subsistence.

Some simple definitions are important for the public to understand.

Weather is the total of the atmospheric conditions at any given moment. It includes thousands of inputs from cosmic radiation from deep space, heating energy from the bottom of the oceans and everything in between.

Climate is the average weather conditions, and how they change, at a given location, over an extended period of time. While one can describe “daily climate,” obtained by averaging the 24-hourly readings or averaging the minimum and maximum readings in a 24-hour period, much longer periods are normally studied by climatologists. The choice of the beginning and end point of climate studies determines the overall trend. By “cherry picking” this time interval, you can demonstrate virtually any trend you want.

For example, the general temperature trend of the last 140 years was warming, but the trend of the last 1,000 years was cooling. That is why the UN Intergovernmental Panel on Climate Change (IPCC) tried to rewrite the historical temperature record over the past millennium to eliminate the Medieval Warm Period. It finally had to restore the Warm Period, which existed across Europe and Asia, and is recorded in multiple Chinese texts from that era.

Similarly, you can study climates of various regions, although forecasting regional climate is fraught with uncertainties. Dr. Tim Palmer, leading climate modeler at the European Centre for Medium-Range Weather Forecasts, summed the situation up well in a 2008 New Scientist magazine article:

“I don’t want to undermine the IPCC, but the forecasts, especially for regional climate change, are immensely uncertain.”

Meteorology is the study of the physics of the atmosphere and is the term people associate most with weather forecasting. Meteorologists maintain that their physics is correct. Then why are their forecasts so often wrong? The answer is inferred in mathematician and philosopher A.N. Whitehead’s comment that,

“There is no more common error than to assume that, because prolonged and accurate mathematical calculations have been made, the application of the result to some fact of nature is absolutely certain.”

The IPCC defends its long-term climate forecasts by maintaining that a weather forecast is different from a climate forecast. But climate is an average of the weather, andone cannot generate accurate results by averaging inaccurate ones.

Thus, starting in 1990, the IPCC stopped making forecasts – because they were never right. Instead they began publishing a range of “projections.” Yet, they too were hopelessly at odds with what actually happened in the real world. Worse, the news media, climate activists, politicians and regulators treat the “projections” as predictions, or forecasts, for purposes of stirring up public anxiety and trying to justify draconian anti-fossil fuel policies.

Indeed, these failed projections underlay the extreme, economically damaging, and completely unnecessary policy prescriptions that were presented earlier this month at the UN Climate Change Conference in Bonn, Germany.

So, the answer to Sowell’s question is clear. No country – certainly not successful, developed nations like the United States or Canada – should bet a nickel of taxpayers’ money on the UN’s failed global warming predictions.

Poor, struggling, developing countries are even more strongly advised to ignore UN predictions and energy policy prescriptions – unless they want to be mired in poverty and misery for another century.

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.

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Maxc Dupilka
December 1, 2017 9:28 am

“Meteorologists maintain that their physics is correct. ”
As an atmospheric scientist and forecast meteorologist I would say that we maintain the physics is correct to the degree that approximations allow. The complete equations of motion of the atmosphere are not solvable, or even fully known. There is no unique set of equations to describe the boundary layer motion. Therefore we make approximations and use parameterizations. Meteorologists realize the limitations of the models and our predictive skills. All forecasts are probabilities, given the initial conditions what is the most likely outcome. It may be that two outcomes are equally likely, but you have to pick one. Climatologists, for some reason, do not seem to realize the limitations of their models. I have worked with some and they are quite arrogant and often demeaning toward meteorologists.

Reply to  Maxc Dupilka
December 1, 2017 11:02 am

Years ago I asked a NWS meteorologist a question regarding long range and short range rain forecast.
My understanding of what he said was that long range rain forecast, say, 10 days out, of a 40% change of rain should be understood as a 40% change of it raining anywhere in the forecast area.
A short range forecast (about 3 days out) of a 40% of rain means that it will rain in about 40% of the forecast area.
I don’t have his email anymore to check.
Is my understanding of what he said basically correct?
(Feel free to tell me I’m wrong, using whatever descriptive words you feel appropriate). I’m I don’t offend easily and I would like to know.

Max Dupilka
Reply to  Gunga Din
December 1, 2017 11:41 am

The concept of probability of precipitation is often misunderstood. A 40% chance of rain means that if you examined a large number of exactly the same weather patterns for one given point of concern, say a city, then 40% of those patterns would have produced rain at that point and 60% would not have. If you looked at a larger area, say a state, then maybe that weather pattern would have produced rain somewhere in the state 80% of the time, and the probability of rain for the somewhere in the state would then be 80%. So you need to clarify what extent of area is being forecast for. Usually forecasts are for cities and the immediate surroundings.

Max Dupilka
Reply to  Gunga Din
December 1, 2017 12:00 pm

To be more accurate I should have said a “large number of similar weather patterns” because we just do not have the fine detailed data and physics to say that two patterns are exactly the same in all aspects. That is why we use probabilities.

Tom in Florida
Reply to  Gunga Din
December 1, 2017 12:08 pm

What you say is true and I would add that a person also needs to understand what happens at their particular location within the reporting area. For instance, my house is about 1 mile from the Gulf of Mexico. If a 60% chance of rain is forecast, for me it all depends on the wind direction. If coming off the Gulf, yes I will likely get some rain, if the wind is from the east then no I will most likely not get any rain due to the sea breeze that will stall those clouds just east of my location.

Reply to  Gunga Din
December 1, 2017 12:11 pm

Thanks for the reply.
The forecast office is in Wilmington Ohio and they make individual forecast for surrounding cities such as Dayton, Columbus and Cincinnati.
I was speaking of “local” forecast issued for those just one of those cities and what I understood to be the difference be a local long range and short range (3 days or less) precipitation forecast.
Again, I may have misunderstood his email.

Max Dupilka
Reply to  Gunga Din
December 1, 2017 12:22 pm

Short range and long range probabilities for the same point or area mean the same thing.

Mark
December 1, 2017 9:29 am

We need to stop using the “Meteorologists can’t forecast the weather much beyond 48 hours…” argument, because it is easily and quickly dismissed as being irrelevant. While I wouldn’t bet my paycheck on a 48 hour forecast, I would most certainly bet my paycheck, as well as those of Dr. Ball and Mr. Harris that 6 months from today, the average northern hemisphere temperatures will be warmer than they are now.

If you sufficiently understand the radiation budget with all of its sources, sinks, and the various feedback mechanisms, you can accurately predict general trends based on changes to any of these as well as variations in the inputs to the budget.

What the AGW folks HAVEN’T proved, however, is that they DO understand all of those things. Certainly, their long-term climate prediction models haven’t proven trustworthy — in fact, all of the climate models together have far less data to verify against than any single given NWP model. And pretty much all of the climate modelers will admit that they can’t sufficiently model all the physical processes involved (relying, instead on parameterization).

So sure, let’s continue to pound away on the known shortfalls of current climate models that have failed miserably to verify, but let’s drop the short-range forecast accuracy analogy. I think it hurts our position more than it helps.

JohnKnight
Reply to  Mark
December 1, 2017 4:08 pm

I sort of agree, Mark, but think the “problem” has to do with the specifics involved . .

I would jump at the chance to bet a bundle straight across on every day’s forecast during the three hottest months of the year where I live, for instance (without even knowing in advance what the daily forecasts were going to be), if I could get away with “Sunny and Hot” . . I’d make a fortune.

But, if I had to specify the temperature within a couple degrees (as the “climate alarmists” have been effectively badgering us to do with regard to their long term “projections”), then things are not so simple.

I think the analogy can be used do good effect, if the wording reflects that specificity aspect . . AND the (certainly implied) claims that a few degrees of warming are going to be some sort of calamity on a global basis if they turn out to be correct “projections”, is highlighted as an operative aspect of the betting.

observa
December 3, 2017 1:23 am

Victorian Premier explains why the overlords have to hype up extreme weather events like climastrologists do with CAGW nowadays-
https://www.msn.com/en-au/news/australia/drier-than-expected-but-premier-daniel-andrews-justifies-extreme-weather-warnings/ar-BBG5Wo7
It’s for our own good or something like that.