Is Force X two different forces? The Sun could influence Earths climate through magnetic fields, solar particle flows, or spectral changes. | Image: ESA
There are two key clues, almost contradicting each other, which we must solve to figure out what Force X is. How do we explain that mysterious pattern — the little spike of extra sunlight each sunspot cycle doesn’t warm the Earth as it arrives — and it should. Instead, the warming appears greatly amplified 11 years later (or one sunspot cycle later). What’s going on? Logically the sunlight itself is not the direct cause, but only a signal, a leading indicator of something else going on — perhaps the solar wind, the magnetic fluxes, or the changes in the UV-Infra Red spectrum. Any one of these (or all of them) or maddeningly, even something else, could be influencing cloud cover on Earth — and some action on clouds is by far the most likely mechanism to amplify the solar effect. They blanket 60% of Earth, and small changes make large differences. We live on a Water-Planet. So having looked at the reasons for Force X, we now split it into two different forces (N and [...]
What is Force x? The Sun could influence Earths climate through magnetic fields, solar particle flows, or spectral changes. | Image: ESA
What’s going on with the Sun?
In the last post in the climate research series we described David’s major finding that changes in total sunlight lead Earth’s temperature by one sunspot cycle. But what’s going on with the Sun — what is the mechanism? In this post David lays out four puzzling clues about solar influence on our global temperature, then puts forward a hypothesis. What force (or forces) are required to resolve all these odd points?
To recap: Both his Fourier analysis and many independent papers suggest there is a delay between total solar irradiation (TSI) and global temperature. David reasoned that the delay is a true delay, not just a smoothing effect while increased heat propagates around the planet. Because the timing is so tied to solar cycles, the trigger for the delay must start on the Sun, not on the Earth. This is not just a case of our oceans slowly absorbing the extra energy from the Sun — and there simply isn’t enough, in any case. Something quite different [...]
We’re launching headlong back into the New Science series with a major post
Lots of things will fall into place — as befits a potential paradigm step forward. For decades, people have been looking to see if the Sun controlled our climate but the message was perplexingly muddy. In the long run, solar activity appears linked to surface temperatures on Earth. (Solar activity was at a record high during the second half of the 20th century when temperatures were also high.) But when we look closely, firstly the solar peaks don’t exactly coincide with the surface temperature peaks, and secondly, the extra energy supplied during the solar peaks is far too small to do much warming. So how could changes in surface temperature be due to the Sun?
A few researchers noted an esoteric correlation of long solar cycles with lower temperatures in the next solar cycle, but mostly those papers were left on the shelf, ignored. Dr David Evans’ notch-delay solar delay theory can explain this odd pattern.
To unravel the connections David took a new approach which cleared out the dead-end complexity of the current climate research. Instead of trying to predict everything from a bottom [...]
The notch in the Sun-Earth relationship is the dog that didn’t bark — the clue that was there all along, telling us something about the way the Sun influences Earth’s climate. There is a flicker of extra energy coming in at the peak of every solar cycle — roughly every 11 years. It’s only a small peak, but there is no warming on Earth at all — it’s like the energy that vanished. A good skeptic would be saying but, the increase in energy is so small, how could we find it among the noise? And the answer is that Fourier maths is so good at doing this that it is used every day to find the GPS signals which (as David details below) are so much smaller than the noise that they are much harder to find than this signal from the Sun.
Thousands of engineers know about and use Fourier maths and notch filters, but due to a strange one-sided bureaucratic funding model, none of those thousands of experts have applied that knowledge, which is so well adapted to feedback systems to the Sun Earth energy flows. David has used an input-output “black box” method to find [...]
We are back in the hunt for the main mystery drivers of our climate. The IPCC says it can’t be the Sun because the total amount of sunlight barely changes. Which is the usual half-truth that pretends the Sun is simple a ball of fire with no magnetic field, no solar wind, and has no changes in the “color” of the spectrum it emits. But the Sun has a massive fluxing magnetic field that turns itself inside out and upside down regularly, it churns off a stream of charged particles that rain on Earth, and if human eyes could see infra red and UV, we’d see the color of the Sun change through the cycle. We are only just beginning to figure out how these aspects affect the climate. But we know these factors influence ozone, probably cloud seeding, and possibly jet streams.
The only good long data we have on the Sun are the sunspots, which give us a reasonable idea of total sunlight since 1610. David uses Fourier maths to find the way that total solar irradiance (TSI) might relate to temperatures on Earth. TSI itself barely changes, so it could only have caused about 10% of the variation [...]
Don’t underestimate the importance of the nameless basic model. It sounds small, but in the culture and philosophy of climate science it’s bigger and carries more weight than the massive hairy GCMs. Like an invisible gossamer web, it’s overarching. It spans and defines all the other models. When they produce “dumb” answers, the basic model holds them in, for thou shalt not stray too far from the climate sensitivity defined by the basic model. It defines what “dumb” is. (It’s just “basic physics” after all.) One model to bind them all. What could possibly go wrong?
A lot, apparently. The physics might be right, but the equations are calculating imaginary conditions. The answers might be arithmetically correct but useless at the same time. They miss the real route that energy flows through to space.
By definition, as long as the basic model is wrong, the GCM models can never get it right.
It’s not like climate scientists consult the oracle of the basic model every day, or even once a year… they don’t need to. They were taught it their climate larval stage, often long before they’d written one paper. The basic model shows that the warming of [...]
In years to come it may be recognized that this blog post produced the first modeled accurate figure for climate sensitivity. Equilibrium Climate Sensitivity sounds dry, but it’s the driving theme, the holy grail of climate science. The accurate figure (whatever it is) summarizes the whole entirety of carbon dioxide’s atmospheric importance. That number determines whether we are headed for a champagne picnic or a baking apocalypse.
To calculate a better estimate, David identified the flaws of the conventional basic model, and rebuilt it. The basic climate model is the top-down approach looking at inputs and outputs of the whole system. It defines the culture and textbooks of the modern global warming movement. GCMs (the big hairy coupled global models) are bottom-up approaches, doomed to failure by trying to add up every detail and ending up drowning in mile-high uncertainty bands. But the GCMs are ultimately tweaked to arrive at a similar ballpark climate sensitivity as the textbook model for the “basic physics” dictates. Hence this core model is where the debate needs to be. (Everyone knows the GCMs are broken.)
For decades the world of conventional climate research has been stuck in a groundhog day [...]
Things are hotting up. After all the hard work of the past few posts, the payoff begins. By solving the flaws inherent in the basic conventional model we solve some of its biggest missed-predictions. And the clincher for conventional models has always been the missing hot spot. Without it, over half the projected warming just vanishes. And if it is telling the tale of a negative type of feedback instead of a positive one, then all bets are off — not three degrees, not even one degree, it’s more like “half” a degree. Go panic about that.
Here David gets into the empirical data — the radiosondes, the satellites, and shows how his model fits their results, whereas the establishment models have repeatedly been forced to deny them. Twenty eight million radiosondes get the wrong results: how many ways can we adjust them? Tweak that cold bias, blend in the wind shear, change the color-scales, homogenize the heck. Smooth, sort, shovel and grind those graphs. The fingerprint of CO2 was everywhere in 2005, though gradually became the non-unique signal of any kind of warming, but it still wasn’t there. It kept being “found”, though it was never reported missing. [...]
In typical style I looked at this draft and told David that the second half of his post should be at the top (that’s where he discusses how his model solves so many problems). He replied that the equations were the most important part, and he wasn’t going to flip them around. So, for readers who don’t speak mathematica-lingua, all I can say, is don’t miss the second half below.
Also in typical style, David prefers this picture he’s just drawn in his diagramming software, to my cartoon in the intro to post 11:
In this post, David combines the two smaller models to make one basic climate model (that’s the sum-of-warmings and the OLR models). Unlike the mainstream conventional basic model that underlies the entire establishment culture and philosophy, the alternative model uses more empirical data (and from the real world too, not just the lab). It’s also less reliant on hypothetical partial derivatives. Plus, in the alternate model, different forcings can cause different responses. In the conventional model, the architecture assumes the climate responds to to all forcings the same way.
CO2 has a warming effect on the atmosphere, rather than just on the surface, and [...]
OLR — outgoing longwave radiation — is so key, so central to the climate debate that if we had top notch data on the radiation coming off the planet, we would have solved the effect of extra CO2 a long time ago. That we don’t have a specific satellite monitoring these changes in detail is like the dog that didn’t bark. Apparently a specialist OLR satellite was to be launched in 2015. More info on the RAVAN Satellite here (was supposed to launch in Sept 2015). (UPDATE: Planned for 2016) h/t siliggy.
There are four main pipes to space, and in David’s work each pipe is considered separately. The conventional model assumes that increasing atmospheric CO2 constricts the CO2 pipe, which warms the surface, causing more evaporation, which then constricts the Water Vapor pipe (this is the “water vapor amplification”, even more constriction of radiation to space by water vapor that forces the surface to emit more by being yet warmer). But the missing hot spot tells us that this theory is wrong. In this OLR model, the water vapor pipe could either expand or constrict. An expansion means a drop in the height of the emissions layer, [...]
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