Six Cloud Types Tell You the Weather

This informative post comes from Hannah Christensen Six clouds you should know about – and what they can reveal about the weather March 23, 2018 at phys.org. Text and images from the article.

You don’t need a supercomputer to predict how the weather above your head is likely to change over the next few hours – this has been known across cultures for millennia. By keeping an eye on the skies above you, and knowing a little about how clouds form, you can predict whether rain is on the way.

And moreover, a little understanding of the physics behind cloud formation highlights the complexity of the atmosphere, and sheds some light on why predicting the weather beyond a few days is such a challenging problem.

So here are six clouds to keep an eye out for, and how they can help you understand the weather.

1. Cumulus

Clouds form when air cools to the dew point, the temperature at which the air can no longer hold all its water vapour. At this temperature, water vapour condenses to form droplets of liquid water, which we observe as a cloud. For this process to happen, we require air to be forced to rise in the atmosphere, or for moist air to come into contact with a cold surface.

On a sunny day, the sun’s radiation heats the land, which in turn heats the air just above it. This warmed air rises by convection and forms Cumulus. These “fair weather” clouds look like cotton wool. If you look at a sky filled with cumulus, you may notice they have flat bases, which all lie at the same level. At this height, air from ground level has cooled to the dew point. Cumulus clouds do not generally rain – you’re in for fine weather.

2. Cumulonimbus

While small Cumulus do not rain, if you notice Cumulus getting larger and extending higher into the atmosphere, it’s a sign that intense rain is on the way. This is common in the summer, with morning Cumulus developing into deep Cumulonimbus (thunderstorm) clouds in the afternoon.

Near the ground, Cumulonimbus are well defined, but higher up they start to look wispy at the edges. This transition indicates that the cloud is no longer made of water droplets, but ice crystals. When gusts of wind blow water droplets outside the cloud, they rapidly evaporate in the drier environment, giving water clouds a very sharp edge. On the other hand, ice crystals carried outside the cloud do not quickly evaporate, giving a wispy appearance.

Cumulonimbus are often flat-topped. Within the Cumulonimbus, warm air rises by convection. In doing so, it gradually cools until it is the same temperature as the surrounding atmosphere. At this level, the air is no longer buoyant so cannot rise further. Instead it spreads out, forming a characteristic anvil shape.

3. Cirrus

Cirrus form very high in the atmosphere. They are wispy, being composed entirely of ice crystals falling through the atmosphere. If Cirrus are carried horizontally by winds moving at different speeds, they take a characteristic hooked shape. Only at very high altitudes or latitudes do Cirrus produce rain at ground level.

But if you notice that Cirrus begins to cover more of the sky, and gets lower and thicker, this is a good indication that a warm front is approaching. In a warm front, a warm and a cold air mass meet. The lighter warm air is forced to rise over the cold air mass, leading to cloud formation. The lowering clouds indicate that the front is drawing near, giving a period of rain in the next 12 hours.

4. Stratus

Stratus is a low continuous cloud sheet covering the sky. Stratus forms by gently rising air, or by a mild wind bringing moist air over a cold land or sea surface. Stratus cloud is thin, so while conditions may feel gloomy, rain is unlikely, and at most will be a light drizzle. Stratus is identical to fog, so if you’ve ever been walking in the mountains on a foggy day, you’ve been walking in the clouds.

5. Lenticular

Our final two cloud types will not help you predict the coming weather, but they do give a glimpse of the extraordinarily complicated motions of the atmosphere. Smooth, lens-shaped Lenticular clouds form as air is blown up and over a mountain range.

Once past the mountain, the air sinks back to its previous level. As it sinks, it warms and the cloud evaporates. But it can overshoot, in which case the air mass bobs back up allowing another Lenticular cloud to form. This can lead to a string of clouds, extending some way beyond the mountain range. The interaction of wind with mountains and other surface features is one of the many details that have to be represented in computer simulators to get accurate predictions of the weather.

6. Kelvin-Helmholtz

And lastly, my personal favourite. The Kelvin-Helmholtzcloud resembles a breaking ocean wave. When air masses at different heights move horizontally with different speeds, the situation becomes unstable. The boundary between the air masses begins to ripple, eventually forming larger waves.

Kelvin-Helmholtz clouds are rare – the only time I spotted one was over Jutland, western Denmark – because we can only see this process taking place in the atmosphere if the lower air mass contains a cloud. The cloud can then trace out the breaking waves, revealing the intricacy of the otherwise invisible motions above our heads.

 

Updated: Fears and Facts about Reservoirs and GHGs

 

A previous post explained how methane has been hyped in support of climate alarmism/activism. Now we have an additional campaign to disparage hydropower because of methane emissions from dam reservoirs. File this under “They have no shame.” Excerpts below with my bolds.

On March 5, 2018 a study was published in Environmental Research Letters Greenhouse gas emissions of hydropower in the Mekong River Basin can exceed those of fossil fuel energy sources

“The hydropower related emissions started in the Mekong in mid-1960’s when the first large reservoir was built in Thailand, and the emissions increased considerably in early 2000’s when hydropower development became more intensive. Currently the emissions are estimated to be around 15 million tonnes of CO2e per year, which is more than total emissions of all sectors in Lao PDR in year 2013,” says Dr Timo Räsänen who led the study. The GHG emissions are expected to increase when more hydropower is built. However, if construction of new reservoirs is halted, the emissions will decline slowly in time.

Another recent example of the claim is from Asia Times Global hydropower boom will add to climate change

The study, published in BioScience, looked at the carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) emitted from 267 reservoirs across six continents. In total, the reservoirs studied have a surface area of more than 77,287 square kilometers (29,841 square miles). That’s equivalent to about a quarter of the surface area of all reservoirs in the world, which together cover 305,723 sq km – roughly the combined size of the United Kingdom and Ireland.

“The new study confirms that reservoirs are major emitters of methane, a particularly aggressive greenhouse gas,” said Kate Horner, Executive Director of International Rivers, adding that hydropower dams “can no longer be considered a clean and green source of electricity.”

In fact, methane’s effect is 86 times greater than that of CO2 when considered on this two-decade timescale. Importantly, the study found that methane is responsible for 90% of the global warming impact of reservoir emissions over 20 years.

Alarmists are Wrong about Hydropower

Now CH4 is proclaimed the primary culprit held against hydropower. As usual, there is a kernel of truth buried beneath this obsessive campaign: Flooding of biomass does result in decomposition accompanied by some release of CH4 and CO2. From HydroQuebec:  Greenhouse gas emissions and reservoirs

Impoundment of hydroelectric reservoirs induces decomposition of a small fraction of the flooded biomass (forests, peatlands and other soil types) and an increase in the aquatic wildlife and vegetation in the reservoir.

The result is higher greenhouse gas (GHG) emissions after impoundment, mainly CO2 (carbon dioxide) and a small amount of CH4 (methane).

However, these emissions are temporary and peak two to four years after the reservoir is filled.

During the ensuing decade, CO2 emissions gradually diminish and return to the levels given off by neighboring lakes and rivers.

Hydropower generation, on average, emits 50 times less GHGs than a natural gas generating station and about 70 times less than a coal-fired generating station.

The Facts about Tropical Reservoirs

Activists estimate Methane emissions from dams and reservoirs across the planet, including hydropower, are estimated to be significantly larger than previously thought, approximately equal to 1 gigaton per year.

Activists also claim that dams in boreal regions like Quebec are not the problem, but tropical reservoirs are a big threat to the climate. Contradicting that is an intensive study of Brazilian dams and reservoirsGreenhouse Gas Emissions from Reservoirs: Studying the Issue in Brazil

The Itaipu Dam is a hydroelectric dam on the Paraná River located on the border between Brazil and Paraguay. The name “Itaipu” was taken from an isle that existed near the construction site. In the Guarani language, Itaipu means “the sound of a stone”. The American composer Philip Glass has also written a symphonic cantata named Itaipu, in honour of the structure.

Five Conclusions from Studying Brazilian Reservoirs

1) The budget approach is essential for a proper grasp of the processes going on in reservoirs. This approach involves taking into account the ways in which the system exchanged GHGs with the atmosphere before the reservoir was flooded. Older studies measured only the emissions of GHG from the reservoir surface or, more recently, from downstream de-gassing. But without the measurement of the inputs of carbon to the system, no conclusions can be drawn from surface measurements alone.

2) When you consider the total budgets, most reservoirs acted as sinks of carbon in the short run (our measurements covered one year in each reservoir). In other words, they received more carbon than they exported to the atmosphere and to downstream.

3) Smaller reservoirs are more efficient as carbon traps than the larger ones.

4) As for the GHG impact, in order to determine it, we should add the methane (CH4) emissions to the fraction of carbon dioxide (CO2) emissions which comes from the flooded biomass and organic carbon in the flooded (terrestrial) soil. The other CO2 emissions, arising from the respiration of aquatic organisms or from the decomposition of terrestrial detritus that flows into the reservoir (including domestic sewage), are not impacts of the reservoir. From this sum, we should deduct the amount of carbon that is stored in the sediment and which will be kept there for at least the life of the reservoir (usually more than 80 years). This “stored carbon” ranges from as little as 2 percent of the total carbon output to more than 25 percent, depending on the reservoirs.

5) When we assess the GHG impacts following the guidelines just described, all of FURNAS’s reservoirs have lower emissions than the cleanest European oil plant. The worst case – Manso, which was sampled only three years after the impoundment, and therefore in a time in which the contribution from the flooded biomass was still very significant – emitted about half as much carbon dioxide equivalents (CO2 eq) as the average oil plant from the United States (CO2 eq is a metric measure used to compare the emissions from various greenhouse gases based upon their global warming potential, GWP. CO2 eq for a gas is derived by multiplying the tons of the gas by the associated GWP.) We also observed a very good correlation between GHG emissions and the age of the reservoirs. The reservoirs older than 30 years had negligible emissions, and some of them had a net absorption of CO2eq.

Keeping Methane in Perspective

Over the last 30 years, CH4 in the atmosphere increased from 1.6 ppm to 1.8 ppm, compared to CO2, presently at 400 ppm. So all the dam building over 3 decades, along with all other land use was part of a miniscule increase of a microscopic gas, 200 times smaller than the trace gas, CO2.

Background Facts on Methane and Climate Change

Methane pollution surrounding Porter Ranch, LA, ( Photo credit: Energy Efficiency Team)

 

The US Senate is considering an act to repeal with prejudice an Obama anti-methane regulation. The story from activist source Climate Central is
Senate Mulls ‘Kill Switch’ for Obama Methane Rule

The U.S. Senate is expected to vote soon on whether to use the Congressional Review Act to kill an Obama administration climate regulation that cuts methane emissions from oil and gas wells on federal land. The rule was designed to reduce oil and gas wells’ contribution to climate change and to stop energy companies from wasting natural gas.

The Congressional Review Act is rarely invoked. It was used this month to reverse a regulation for the first time in 16 years and it’s a particularly lethal way to kill a regulation as it would take an act of Congress to approve a similar regulation. Federal agencies cannot propose similar regulations on their own.

The Claim Against Methane

Now some Republican senators are hesitant to take this step because of claims like this one in the article:

Methane is 86 times more potent as a greenhouse gas than carbon dioxide over a period of 20 years and is a significant contributor to climate change. It warms the climate much more than other greenhouse gases over a period of decades before eventually losing its potency. Atmospheric carbon dioxide remains a potent greenhouse gas for thousands of years.

Essentially the journalist is saying: As afraid as you are about CO2, you should be 86 times more afraid of methane. Which also means, if CO2 is not a warming problem, your fear of methane is 86 times zero. The thousands of years claim is also bogus, but that is beside the point of this post, which is Methane.

IPCC Methane Scare

The article helpfully provides a link referring to Chapter 8 of IPCC AR5 report by Working Group 1 Anthropogenic and Natural Radiative Forcing.

The document is full of sophistry and creative accounting in order to produce as scary a number as possible. Table 8.7 provides the number for CH4 potency of 86 times that of CO2.  They note they were able to increase the Global Warming Potential (GWP) of CH4 by 20% over the estimate in AR4. The increase comes from adding in more indirect effects and feedbacks, as well as from increased concentration in the atmosphere.

In the details are some qualifying notes like these:

Uncertainties related to the climate–carbon feedback are large, comparable in magnitude to the strength of the feedback for a single gas.

For CH4 GWP we estimate an uncertainty of ±30% and ±40% for 20- and 100-year time horizons, respectively (for 5 to 95% uncertainty range).

 

Methane Facts from the Real World
From Sea Friends (here):

Methane is natural gas CH4 which burns cleanly to carbon dioxide and water. Methane is eagerly sought after as fuel for electric power plants because of its ease of transport and because it produces the least carbon dioxide for the most power. Also cars can be powered with compressed natural gas (CNG) for short distances.

In many countries CNG has been widely distributed as the main home heating fuel. As a consequence, methane has leaked to the atmosphere in large quantities, now firmly controlled. Grazing animals also produce methane in their complicated stomachs and methane escapes from rice paddies and peat bogs like the Siberian permafrost.

It is thought that methane is a very potent greenhouse gas because it absorbs some infrared wavelengths 7 times more effectively than CO2, molecule for molecule, and by weight even 20 times. As we have seen previously, this also means that within a distance of metres, its effect has saturated, and further transmission of heat occurs by convection and conduction rather than by radiation.

Note that when H20 is present in the lower troposphere, there are few photons left for CH4 to absorb:

Even if the IPCC radiative greenhouse theory were true, methane occurs only in minute quantities in air, 1.8ppm versus CO2 of 390ppm. By weight, CH4 is only 5.24Gt versus CO2 3140Gt (on this assumption). If it truly were twenty times more potent, it would amount to an equivalent of 105Gt CO2 or one thirtieth that of CO2. A doubling in methane would thus have no noticeable effect on world temperature.

However, the factor of 20 is entirely misleading because absorption is proportional to the number of molecules (=volume), so the factor of 7 (7.3) is correct and 20 is wrong. With this in mind, the perceived threat from methane becomes even less.

Further still, methane has been rising from 1.6ppm to 1.8ppm in 30 years (1980-2010), assuming that it has not stopped rising, this amounts to a doubling in 2-3 centuries. In other words, methane can never have any measurable effect on temperature, even if the IPCC radiative cooling theory were right.

Because only a small fraction in the rise of methane in air can be attributed to farm animals, it is ludicrous to worry about this aspect or to try to farm with smaller emissions of methane, or to tax it or to trade credits.

The fact that methane in air has been leveling off in the past two decades, even though we do not know why, implies that it plays absolutely no role as a greenhouse gas.

More information at THE METHANE MISCONCEPTIONS by Dr Wilson Flood (UK) here

Summary:

Natural Gas (75% methane) burns the cleanest with the least CO2 for the energy produced.

Leakage of methane is already addressed by efficiency improvements for its economic recovery, and will apparently be subject to even more regulations.

The atmosphere is a methane sink where the compound is oxidized through a series of reactions producing 1 CO2 and 2H20 after a few years.

GWP (Global Warming Potential) is CO2 equivalent heat trapping based on laboratory, not real world effects.

Any IR absorption by methane is limited by H2O absorbing in the same low energy LW bands.

There is no danger this century from natural or man-made methane emissions.

Conclusion

Senators and the public are being bamboozled by opaque scientific bafflegab. The plain truth is much different. The atmosphere is a methane sink in which CH4 is oxidized in the first few meters. The amount of CH4 available in the air is miniscule, even compared to the trace gas CO2, and it is not accelerating. Methane is the obvious choice to signal virtue on the climate issue since governmental actions will not make a bit of difference anyway, except perhaps to do some economic harm.

Give a daisy a break (h/t Derek here)

Daisy methane

Footnote:

For a more thorough and realistic description of atmospheric warming see:

Fearless Physics from Dr. Salby

Rainfall Climate Paradox

A recent article displays the intersection of fears and facts comprising the climate paradox, in this case the issue of precipitation.  Rainfall’s natural variation hides climate change signal appeared today in phys.org by Kate Prestt, Australian National University.  Excerpts with my bolds.

New research from The Australian National University (ANU) and ARC Centre of Excellence for Climate System Science suggests natural rainfall variation is so great that it could take a human lifetime for significant climate signals to appear in regional or global rainfall measures.

Even exceptional droughts like those over the Murray Darling Basin (2000-2009) and the 2011 to 2017 Californian drought fit within the natural variations in the long-term precipitation records, according to the statistical method used by the researchers.

This has significant implications for policymakers in the water resources, irrigation and agricultural industries.

“Our findings suggest that for most parts of the world, we won’t be able to recognise long term or permanent changes in annual rainfall driven by climate change until they have already occurred and persisted for some time,” said Professor Michael Roderick from the ANU Research School of Earth Sciences.

“This means those who make decisions around the construction of desalination plants or introduce new policies to conserve water resources will effectively be making these decisions blind.

“Conversely, if they wait and don’t act until the precipitation changes are recognised they will be acting too late. It puts policymakers in an invidious position.”

To get their results the researchers first tested the statistical approach on the 244-year-long observational record of precipitation at the Radcliffe Observatory in Oxford, UK. They compared rainfall changes over 30-year-intervals. They found any changes over each interval were indistinguishable from random or natural variation.

They then applied the same process to California, which has a record going back to 1895, and the Murray Darling Basin from 1901-2007. In both cases the long dry periods seem to fit within expected variations.

Finally, they applied the process to reliable global records that extended from 1940-2009. Only 14 per cent of the global landmass showed, with 90 per cent confidence, increases or decreases in precipitation outside natural variation.

Professor Graham Farquhar AO also from the ANU Research School of Biology said natural variation was so large in most regions that even if climate change was affecting rainfall, it was effectively hidden in the noise.

“We know that humans have already had a measurable influence on streamflows and groundwater levels through extraction and making significant changes to the landscape,” Professor Farquhar said.

“But the natural variability of precipitation found in this paper presents policymakers with a large known unknown that has to be factored into their estimates to effectively assess our long-term water resource needs.”  The research has been published in the journal Proceedings of the National Academy of Sciences.

us-wet-dry-co2rev-1

Summary

Much like sea level rise, scientists fearing the worst seek and hope to find a nanosignal inside noisy imprecise measurements of a naturally varying phenomenon.

Magnetic Pole Swapping and Cooling

The Earth’s North magnetic pole has been wandering at 10-year intervals from 1970 to 2020, as seen in this animation from the National Centers for Environmental Information.

This post discusses solar and geologic magnetic pole swapping (not with each other of course) and the implications for humans. First the earth and later on the sun.

What On Earth?

Newsweek chose to report yesterday on earth’s meandering north pole as shown in the cool graphic above. That article (here) aims at sensational possible calamities, including high energy radiation, space particles, ozone depletion and electrical blackouts. A more sober assessment is provided by the conversation Why the Earth’s magnetic poles could be about to swap places – and how it would affect us By Phil Livermore and Jon Mound of U. Leeds.Excerpts below with my bolds.

The Earth’s magnetic field surrounds our planet like an invisible force field – protecting life from harmful solar radiation by deflecting charged particles away. Far from being constant, this field is continuously changing. Indeed, our planet’s history includes at least several hundred global magnetic reversals, where north and south magnetic poles swap places. So when’s the next one happening and how will it affect life on Earth?

During a reversal the magnetic field won’t be zero, but will assume a weaker and more complex form. It may fall to 10% of the present-day strength and have magnetic poles at the equator or even the simultaneous existence of multiple “north” and “south” magnetic poles.

Geomagnetic reversals occur a few times every million years on average. However, the interval between reversals is very irregular and can range up to tens of millions of years.

There can also be temporary and incomplete reversals, known as events and excursions, in which the magnetic poles move away from the geographic poles – perhaps even crossing the equator – before returning back to their original locations. The last full reversal, the Brunhes-Matuyama, occurred around 780,000 years ago. A temporary reversal, the Laschamp event, occurred around 41,000 years ago. It lasted less than 1,000 years with the actual change of polarity lasting around 250 years.


In 2003, the so-called Halloween storm caused local electricity-grid blackouts in Sweden, required the rerouting of flights to avoid communication blackout and radiation risk, and disrupted satellites and communication systems. But this storm was minor in comparison with other storms of the recent past, such as the 1859 Carrington event, which caused aurorae as far south as the Caribbean.

The simple fact that we are “overdue” for a full reversal and the fact that the Earth’s field is currently decreasing at a rate of 5% per century, has led to suggestions that the field may reverse within the next 2,000 years. But pinning down an exact date – at least for now – will be difficult.

Since 2014, Swarm—a trio of satellites from the European Space Agency—has allowed researchers to study changes building at the Earth’s core, where the magnetic field is generated.

Historically, Earth’s North and South magnetic poles have flipped every 200,000 or 300,000 years—except right now, they haven’t flipped successfully for about 780,000 years. But the planet’s magnetic field is at long last showing signs of shifting.

The Earth’s magnetic field is generated within the liquid core of our planet, by the slow churning of molten iron. Like the atmosphere and oceans, the way in which it moves is governed by the laws of physics. We should therefore be able to predict the “weather of the core” by tracking this movement, just like we can predict real weather by looking at the atmosphere and ocean. A reversal can then be likened to a particular type of storm in the core, where the dynamics – and magnetic field – go haywire (at least for a short while), before settling down again.

The difficulties of predicting the weather beyond a few days are widely known, despite us living within and directly observing the atmosphere. Yet predicting the Earth’s core is a far more difficult prospect, principally because it is buried beneath 3,000km of rock such that our observations are scant and indirect. However, we are not completely blind: we know the major composition of the material inside the core and that it is liquid. A global network of ground-based observatories and orbiting satellites also measure how the magnetic field is changing, which gives us insight into how the liquid core is moving.

Solar Pole Swapping Puts Earth to Shame

White lines show the magnetic field emanating from the sun’s surface. NASA

Background:

The sun as a whole also has a “global” magnetic field, oriented more or less north-south. So we can think of the sun as a large N-S magnet, like our Earth, but with smaller variously (but not randomly) oriented and continually evolving mini-magnets distributed over its photosphere (visible surface) and throughout its corona (extended atmosphere).

However, unlike our Earth, the sun’s large scale magnetic field flips over on a regular basis, roughly every 11 years. (Actually, Earth’s flips too, very irregularly. The last time was 780,000 years ago. But that’s another story.) Solar magnetic reversals occur close to solar maximum, when the number of sunspots is near its peak, though it is often a gradual process, taking up to 18 months.

A solar flare (the white patch on the sun), and an erupting prominence reaching into space, are features of our active sun, and place the size of Earth in context. NASA

Paul Cally solar physicist Monash U (here)

About the Current Quiet Sun

Euan Mearns considers the implications at Energy Matters The Death of Sunspot Cycle 24, Huge Snow and Record Cold  Excerpts below with my bolds.

8 meter snow depth in Chamonix in the shadow of Mont Blanc in the French Alps January 2018

It looks like the snow in this drift is ~ 8m deep. And this is in the valley, not in the high basins where the snow fields that feed the glaciers lie. Now it’s obviously far too early to begin to draw any conclusions. But IF we get a run of 3 or 4 winters that dump this much snow, it is not inconceivable for me to imagine Alpine glaciers once again beginning to advance. I’m totally unsure how long it takes for pressure in the glacier source to feed through to advance of the snout.

So what is going on? We’ve been told by climate scientists that snow would become a thing of the past. We’ve also been told that global warming might lead to more snow and less snow. And we’ve been told that warming might even lead to cooling. The competing theory to the CO2 greenhouse is that the Sun has a prominent role in modulating Earth’s climate that was so eloquently described by Phil Chapman in his post earlier this week. This theory simply observes a strong connection between a weak solar wind (that is expressed by low sunspot numbers) and cold, snowy winters in the N hemisphere. Uniquely, most of those who argue for a strong solar influence also acknowledge the overprint of anthropogenic CO2. The IPCC effectively sets the Sun to zero. The Sun is entering a grand solar minimum already christened the Eddy Minimum by the solar physics community.

Figure 2 It is crucial to look at the baseline closely that in 2009 actually touched zero for months on end. This is not normal for the low point of the cycle. Figure 3 shows how cycle 24 was feeble compared with recent cycles. And it looks like it will have a duration of ~10 years (2009-2019) which as the low end of the normal range which is 9 to 14 years with mean of 11 years. Chart adapted from SIDC is dated 1 January 2018.

Mearns provides this summary of his article Cosmic Rays, Magnetic Fields and Climate Change

Cosmic rays are deflected by BOTH the Sun’s and Earth’s magnetic fields and there may also be variations in the incident cosmic ray background. Cosmogenic isotope variations, therefore, do not only record variations in solar activity.

This has two significant implications for me: 1) when I have looked into cosmogenic isotopes in the past I have been perplexed by the fact that in parts you see a wonderful coherence with “climate” (T≠climate) while else where, the relationship breaks down, and 2) my recent focus has been on variations in spectrum from the Sun (which may still be important) but to the extent that the Laschamp event (Earth’s magnetic field) may also be implicated in climate change then the emphasis needs to shift to cosmic rays themselves i.e. what Svensmark has been saying for years.

For readers not familiar with Earth’s magnetic field. It periodically flips but on a time-scale of millions of years. The N pole moves to the S pole and in the process of doing so the magnetic field strength collapses as evidenced by “Figure 7” in Phil’s post. The last time this happened was during the Laschamp event ~ 41,000 years ago. There was a full but short lived reversal, but the Earth’s magnetic field did collapse.

Now here’s the main point. We know that the glacial cycles beat to a 41,000 year rhythm that is the obliquity (tilt) of Earth’s axis. The magnetic field originates in Earth’s liquid mainly iron core. This raises the question, can changes in obliquity affect the geo-dynamo. You have to read what Phil has written closely:

Since we absolutely know (don’t we?) that the interglacial to glacial transitions of the current ice age are caused by Milankovitch forcing, the usual interpretation is that there must be some unknown mechanism by which changes in the orbit of the Earth and/or the tilt of the polar axis affect the geodynamo, triggering the excursions.

For decades to centuries, Earth’s N magnetic pole was pretty well fixed to a point in northern Canada. Not much in the news, but it has recently begun to migrate, quite rapidly.

For a more complete description of solar effects effects on earth’s climate see
The cosmoclimatology theory

 

Earth’s magnetic field, in blue, shields the planet from the solar wind. NASA

Civil Climate Discourse

The issue of global warming/climate change has been used to polarize populations for political leverage. People like myself who are skeptical of alarmist claims find it difficult to engage with others whose minds are made up with or without a factual basis. In a recent email Alex Epstein gives some good advice how to talk about energy and climate. At the end I provide links to other material from Alex supporting his principle message regarding human benefits from using fossil fuels. Text below is his email with my bolds.

Two simple-but-powerful tactics

1. Opinion Stories

Unless I have some specific reason for wanting to have a long conversation I like to keep my conversations short, with the end goal of getting the other person to consume some high-impact resource.

One way to make this even more effective is to offer to email/mail the person a resource. Then you’ll have their contact info and can follow up in a few weeks.

The last paragraph of your message is really important. You’re telling the story of how you came to your opinion. I call this device “the opinion story.”

Here’s how it works.

Imagine you’re trying to persuade someone to read your favorite book. My favorite book is Atlas Shrugged, by Ayn Rand.

I used to say: “Atlas Shrugged is the best book you’ll ever read. You have to read it.”

That’s an opinion statement. If you haven’t read the book I’ll bet that statement makes you resistant. “Oh really? You’re telling me what the best book I’ll ever read is? You’re telling me what I have to read?”

Opinion statements often breed resistance and reflexive counter-arguments. So now I try to persuade people differently.

I might say: “My favorite book is Atlas Shrugged by Ayn Rand. I read it when I was 18 and the way the characters thought and approached life motivated me to pursue a career I love and give it everything I have.”

How do you react to that statement?

Probably better. You’re probably not resistant. You may well be intrigued. And you can’t disagree with me–because I didn’t tell you what to think, I told you my opinion story. I respected your independence.

While statements breed resistance and counter-argument, stories often breed interest and requests for more.

You can use opinion stories for anything, no matter how controversial.

For example, if someone asks me about my book, The Moral Case for Fossil Fuels, I don’t need to say “I prove that we should be using more fossil fuels, not less.” I can just say “I researched the pros and cons of different forms of energy and was surprised to come to the conclusion that we should be using more fossil fuels, not less.”

I like to have an opinion story for every controversial opinion I hold.

2. Introducing Surprising Facts

Reader Comment: “The problem I always run into is that they really believe Germany is a success.”

I’ve had the same experience, too! On many issues.

Often in conversation the phenomenon of conflicting factual claims on an issue—such as the impact of solar and wind on Germany’s economy—leads to an impasse.

One way to deal with this is to focus on establishing an explicit framework, with human flourishing (not minimum impact) as the goal and full context analysis (not bias and sloppiness) as the process. Most disputes stem from conflicting frameworks, not conflicting facts. And if you offer a compelling framework you’ll be more trustworthy on the facts.

That said, here’s a tactic I discovered a few years ago to make certain factual points much more persuasive in the moment..

I’ll start with how I discovered it.

I was walking through the Irvine Spectrum mall with a good friend when we ran into two young women working to promote Greenpeace.

My friend found one of the women attractive and said he wanted to talk to her. I thought, given my experiences with (paid) Greenpeace activists, that this was unlikely to be an edifying experience, and encouraged him to instead record a conversation between me and one of the women. Unfortunately for posterity, I was unpersuasive and what follows was never recorded.

I decided to talk to the other Greenpeace woman. She quickly started “educating” me on how Germany was successfully running on solar and wind.

Me: “Really? I’m curious where you’re getting that because I research energy for a living–and Germany is actually building a lot of new coal plants right now.”

Greenpeace: “No, that can’t be true.”

Me: “Okay, how about this? I’ll email you a news article about Germany building new coal plants. If I do, will you reconsider your position?” [Note: This is an example of the technique I recommended above.]

Greenpeace: Hesitates.

Me: “Actually, wait, we have smartphones. I’m going to Google Germany and coal. Let’s see what comes up.”

Displaying on my iPhone is a recent news story whose headline is something very close to: “Germany to build 12 new coal plants, government announces.”

Me: “So what do you think?”

Greenpeace: “I don’t know,” followed by—very rare for a Greenpeace activist—having nothing to say.

Had this been a normal person I am confident the live confirmation of the surprising fact would have made a lasting impression.

I think this tactic works best for news stories about surprising facts. Vs. an opinion story about some issue of analysis, like what Germany’s GDP is.

Summary

Alex Epstein is among those who demonstrate from public information sources comparisons between societies who use carbon fuels extensively and those who do not. The contrast is remarkable: Societies with fossil fuels have citizens who are healthier, live longer, have higher standards of living, and enjoy cleaner air and drinking water, to boot. Not only do healthier, more mobile people create social wealth and prosperity, carbon-based energy is heavily taxed by every society that uses it. Those added government revenues go (at least some of it) into the social welfare of the citizenry. By almost any measure, carbon-based energy makes the difference between developed and underdeveloped populations.

A previous post Social Benefits of Carbon referenced facts and figures from Alex’s book which can be accessed here

Other Resources:
Two Page Overview of The Moral Case for Fossil Fuels — What it is and why it matters 
main points are:
How to think about our energy future
Fossil fuels & human flourishing: the benefits
Fossil fuels & human flourishing: environmental concerns

11 page Introduction to The Moral Case for Fossil Fuels

Maslow’s hierarchy of human needs updated.

How’s Your CCIQ?

 

H/T David Wojick and CFACT

Doctors for Disaster Preparedness are concerned to be ready for real disasters and not be distracted by irrational fears like global warming/climate change. They have provided a useful resource for people to test and deepen their knowledge of an issue distorted for many people by loads of misinformation and exaggerations.

From David Wojick:

A new lesson set called the Climate Change IQ (CCIQ) provides a good skeptical critique of ten top alarmist claims. The format is succinct and non-technical. Each alarmist claim is posed as a question, followed by a short skeptical answer, which is highlighted with a single telling graphic.

Then there is a link to a somewhat longer answer, which in turn includes links to a few online sources of more information. Each lesson is also available in a printable PDF version, suitable for classroom use. This compact format is potentially very useful.

CCIQ comes from a long-standing skeptical group called the Doctors for Disaster Preparedness (DDP). Despite the name, DDP gives attention to pointing out scares that are not disasters waiting to happen. Not surprisingly climate alarmism gets a lot of this attention.

The ten topic questions are wide ranging, including the following. Each speaks to a popular pro-alarmist news hook.

Is climate change the most urgent global health threat?

Are government-sponsored climate scientists the only credible sources of information relating to climate-change policy?

Is the increase in atmospheric CO2 making wildfires worse?

Why can’t all States emulate California’s proposed “clean” energy standards?

What would happen if atmospheric CO2 concentration dropped by half, say to less than 200 ppm?

Are human CO2 emissions acidifying the oceans and endangering shell-making animals?

Will Manhattan and Florida soon be under water if humans do not curtail use of “fossil fuels”?

Do 97% of climate scientists agree that catastrophic climate change will result if humans do not curtail use of “fossil fuels”? (This one includes the dynamite John Christy graph showing the rapidly growing divergence of climate model global temperature forecasts with real world observations.)

Is Arctic ice disappearing?

And the number 1 CCIQ question: Would lowering atmospheric CO2 prevent or mitigate hurricanes?

Check it out. Inquiring minds want to know.

 

Natural Climate Factors: Snow

Variations in Siberian snow cover October (day 304) 2004 to 2016. Eurasian snow charts from IMS.

Previously I posted an explanation by Dr. Judah Cohen regarding a correlation between autumn Siberian snow cover and the following winter conditions, not only in the Arctic but extending across the Northern Hemisphere. More recently, in looking into Climate Model Upgraded: INMCM5, I noticed some of the scientists were also involved in confirming the importance of snow cover for climate forecasting. Since the poles function as the primary vents for global cooling, what happens in the Arctic in no way stays in the Arctic. This post explores data suggesting changes in snow cover drive some climate changes.

The Snow Cover Climate Factor

The diagram represents how Dr. judah Cohen pictures the Northern Hemisphere wintertime climate system.  He leads research regarding Arctic and NH weather patterns for AER.

cohen-schematic2

Dr. Cohen explains the mechanism in this diagram.

Conceptual model for how fall snow cover modifies winter circulation in both the stratosphere and the troposphere–The case for low snow cover on left; the case for extensive snow cover on right.

1. Snow cover increases rapidly in the fall across Siberia, when snow cover is above normal diabatic cooling helps to;
2. Strengthen the Siberian high and leads to below normal temperatures.
3. Snow forced diabatic cooling in proximity to high topography of Asia increases upward flux of energy in the troposphere, which is absorbed in the stratosphere.
4. Strong convergence of WAF (Wave Activity Flux) indicates higher geopotential heights.
5. A weakened polar vortex and warmer down from the stratosphere into the troposphere all the way to the surface.
6. Dynamic pathway culminates with strong negative phase of the Arctic Oscillation at the surface.

From Eurasian Snow Cover Variability and Links with Stratosphere-Troposphere
Coupling and Their Potential Use in Seasonal to Decadal Climate Predictions by Judah Cohen.

Observations of the Snow Climate Factor

The animation at the top shows from remote sensing that Eurasian snow cover fluctuates significantly from year to year, taking the end of October as a key indicator.

For several decades the IMS snow cover images have been digitized to produce a numerical database for NH snow cover, including area extents for Eurasia. The NOAA climate data record of Northern Hemisphere snow cover extent, Version 1, is archived and distributed by NCDC’s satellite Climate Data Record Program. The CDR is forward processed operationally every month, along with figures and tables made available at Rutgers University Global Snow Lab.

This first graph shows the snow extents of interest in Dr. Cohen’s paradigm. The Autumn snow area in Siberia is represented by the annual Eurasian averages of the months of October and November (ON). The following NH Winter is shown as the average snow area for December, January and February (DJF). Thus the year designates the December of that year plus the first two months of the next year.

Notes: NH snow cover minimum was 1981, trending upward since.  Siberian autumn snow cover was lowest in 1989, increasing since then.  Autumn Eurasian snow cover is about 1/3 of Winter NH snow area. Note also that fluctuations are sizable and correlated.

The second graph presents annual anomalies for the two series, each calculated as the deviation from the mean of its entire time series. Strikingly, the Eurasian Autumn flux is on the same scale as total NH flux, and closely aligned. While NH snow cover declined a few years prior to 2016, Eurasian snow is trending upward strongly.  If Dr. Cohen is correct, NH snowfall will follow. The linear trend is slightly positive, suggesting that fears of children never seeing snowfall have been exaggerated. The Eurasian trend line (not shown) is almost the same.

What About Winter 2017-2018?

These data confirm that Dr. Cohen and colleagues are onto something. Here are excerpts from his October 2 outlook for the upcoming season AER. (my bolds)

The main block/high pressure feature influencing Eurasian weather is currently centered over the Barents-Kara Seas and is predicted to first weaken and then strengthen over the next two weeks.

Blocking in the Barents-Kara Seas favors troughing/negative geopotential height anomalies and cool temperatures downstream over Eurasia but especially Central and East Asia. The forecast for the next two weeks across Central Asia is for continuation of overall below normal temperatures and new snowfall.

Currently the largest negative anomalies in sea ice extent are in the Chukchi and Beaufort Seas but that will change over the next month or so during the critical months of November-February. In my opinion low Arctic sea ice favors a more severe winter but not necessarily hemisphere-wide and depends on the regions of the strongest anomalies. Strong negative departures in the Barents-Kara Seas favors cold temperatures in Asia while strong negative departures near Greenland and/or the Beaufort Sea favor cold temperatures in eastern North America.

Siberian snow cover is advancing quickly relative to climatology and is on a pace similar to last year at this time. My, along with my colleagues and others, research has shown that extensive Siberian snow cover in the fall favors a trough across East Asia with a ridge to the west near the Urals. The atmospheric circulation pattern favors more active poleward heat flux, a weaker PV and cold temperatures across the NH. It is very early in the snow season but recent falls have been snowy across Siberia and therefore I do expect another upcoming snowy fall across Siberia.

Summary

In summary the three main predictors that I follow in the fall months most closely, the presence or absence of high latitude blocking, Arctic sea ice extent and Siberian snow cover extent all point towards a more severe winter across the continents of the NH.

Uh oh.  Now where did I put away my long johns?

Degrees of Climate Truth

Previous posts have dealt with science as a mode of inquiry, and described the process of theory and observation by which scientific knowledge is obtained. This post presents work by Andy May to classify the degrees of scientific certainty or truth, and apply these to climate claims.

The essay Facts and Theories comes from his blog Andy May Petrophysicist.
Excerpts below with my bolds.

Categories of Scientific Knowledge

Newton provided us with his descriptive “Law of Gravitation.” Newton’s law tells us what gravity does and it is very useful, but it tells us nothing about how it works. For that we need Einstein’s theory of relativity. Theories and laws are not necessarily related in science. A law simply describes what happens without describing why. A scientific theory attempts to explain why a relationship holds true.

In the scientific community, for both a law and a theory, a single conflicting experiment or observation invalidates them. Einstein once said:

“No amount of experimentation can ever prove me right; a single experiment can prove me wrong.”

So, let’s examine our topics in that light. Newton’s descriptive law of gravity, based on mass and distance, are there any exceptions? Not to my knowledge, except possibly on galactic sized scales, black holes and probably on very, very small sub-atomic scales. In everyday life, Newton’s law works fine. How about Einstein’s theory of gravity (Relativity), any exceptions? None that I know of at any scale.

How about evolution? Species evolve, we can see that in the geological record. We can also watch it happen in some quickly reproducing species. Thus we could describe evolution as a fact. It happens, but we cannot describe how without more work. Early theories of the evolutionary process include Darwin’s theory of natural selection and Lamarck’s theory of heritable species adaptation due to external stresses. Due to epigenetic research we now know that Darwin and Lamarck were both right and that evolution involves both processes. For a summary of recent research into the epigenetic component of evolution see this Oxford Journal article. Thus well-established facts and scientific laws rarely change but theories do evolve. I might add that while facts and laws don’t often change, they are easily dismissed when contradictory data are gathered. The modern theory of evolution is a good example of where competing theories can merge into one.

Most scientific theories begin as hypotheses. A hypothesis is best described as an idea of what might be causing a specific event to occur. A proper scientific hypothesis, like a theory, must be falsifiable. That is, we must be able to design an experiment or foresee an observation that will make the hypothesis false. “Climate change” is not falsifiable, it is not a scientific hypothesis or a theory. “Man-made climate change” is a scientific hypothesis since it is falsifiable. Hypotheses and theories are evolving things, new facts and observations cause them to change. In this way we build the body of science. Science is mostly skepticism. We look for what does not fit, we poke at established facts and laws, at theories and hypotheses. We try and find flaws, we check the numbers. Worse, science done properly means we spend more time proving ourselves wrong than we do proving we are right. Life is tough sometimes.

So how does this fit with the great climate change debate. I’ve made a table of phrases and identified each common phrase as a fact, theory, law, hypothesis, or simply an idea. These are my classifications and certainly open for debate.

In Table 1 we can see that the comparison of man-made climate change and the possibility of a man-made climate catastrophe are not really comparable to the theories of gravity and evolution. Man-made climate change is more than an idea, it is based on some observations and reasonable models of the process have been developed and can be tested. But, none of the models have successfully predicted any climatic events. Thus, they are still a work-in-progress and not admissible as evidence supporting a scientific theory.

The idea of man-made climate change causing a catastrophe at the scale of Islamic terrorism is pure speculation. The models used to compute man’s influence don’t match any observations, this is easily seen in Figure 1 which is Dr. John Christy’s graph of the computer model’s predictions versus satellite and weather balloon observations. I should mention that satellite and weather balloon measurements are independent of one another and they are independent of the various surface temperature datasets, like HADCRUT and GHCN-M. All of the curves on the plot have been smoothed with five year averages.

The purple line going through the observations is the Russian model “INM-CM4.” It is the only model that comes close to reality. INM-CM4, over longer periods, does very well at hindcasting observed temperatures. This model uses a CO2 forcing response that is 37% lower than the other models, a much higher deep ocean heat capacity (climate system inertia) and it exactly matches lower tropospheric water content and is biased low above that. The other models are biased high. The model predicts future temperature increases at a rate of about 1K/century, not at all alarming and much lower than the predictions of the other models. (See Temperatures According to Climate Models)

One can consider each model to be a digital experiment. It is clear that the range of values from these digital experiments exceeds the predicted average temperature increase. This does not give us much confidence in the accuracy of the models. Yet, the IPCC uses the difference between the mean model temperature anomalies and observed surface temperatures since 1950 to compute man’s influence on climate.   (See Climate Models Explained)

In particular Soon, Connolly and Connolly (SCC15) believe that the IPCC chose an inappropriate model of the variation in the sun’s output (TSI or total solar irradiance). There are many models of solar variation in the peer reviewed literature and it is a topic of vigorous debate. Eight recent models are presented in Figure 8 of SCC15 (see Figure 3). Only low solar variability models (those on the right of Figure 3) are used by the IPCC to compute man’s influence on climate although just as much evidence exists for the higher variability models on the left. The scales used in the graphs are all the same, but the top and bottom values vary. At minimum, the IPCC should have run two cases, one for high variability and one for low. SCC15 clearly shows that the model used makes a big difference.

Any computer Earth model must establish a track record before it is used in calculations. The Earth is simply too complex and natural climate cycles are poorly understood. If natural cycles cannot be predicted they cannot be subtracted from observations to give us man’s influence on climate. The debate is not whether man influences climate, the debate is over how much man contributes and whether or not the additional warming dangerous. This observer, familiar with the science, would say the jury is still out. Certainly, the case for an impending catastrophe has not been made as this requires two speculative jumps. First, we need to assume that man is the dominant driver of climate, second we need to assume this will lead to a catastrophe. One can predict a possible catastrophe if the most extreme climate models are correct, but the record shows they are not. Only INM-CM4 matches observations reasonably well and INM-CM4 does not predict anything remotely close to a catastrophe.

In the study of the process of evolution the problem is the same. Some believe that the dominant process is natural selection and epigenetic change is minor. Some believe the opposite. Everyone believes that both play a role. As in climate science, figuring out which process is dominant is tough.

Recent climate history (the “pause” in warming) suggests that we have plenty of time to get our arms around this problem before doing anything drastic like destroying the fossil fuel industry and sending billions of people into poverty due to a lack of affordable energy.

Summary:  Scientific vs. Social Proof

In the IPCC reports certainty is presented in terms of social proofs. For example, an assertion is rated as Very High Confidence, or 95% Certain, meaning almost all consulted experts held that opinion. A claim rated as Moderate Confidence is in fact 50% Certain, meaning it is regarded as equally unlikely. Statements regarded as Low Confidence are thought to be so improbable that one wonders why they are presented. In any case, these are not scientific assessments, but rather opinion polling of people thought to be knowledgeable.

In contrast, Andy May demonstrates how scientific proof is obtained: A law or theory stands as along as no exceptions have been found. Or the law or theory is modified to stipulate more clearly under what conditions it operates. His classification of climate facts, theories and ideas sits well with me and helps to clarify what is presently known and unknown in this field.

As shown above, a theory or hypothesis falls if exceptions are observed.  Are there exceptions to the hypothesis of man-made global warming?  Yes, indeed there are many.  One of the most important disproofs (it only takes one) is actually provided by the climate models.

Figure 5. Simplification of IPCC AR5 shown above in Fig. 4. The colored lines represent the range of results for the models and observations. The trends here represent trends at different levels of the tropical atmosphere from the surface up to 50,000 ft. The gray lines are the bounds for the range of observations, the blue for the range of IPCC model results without extra GHGs and the red for IPCC model results with extra GHGs.The key point displayed is the lack of overlap between the GHG model results (red) and the observations (gray). The nonGHG model runs (blue) overlap the observations almost completely.

IPCC Assessment Reports show that the IPCC climate models performed best versus observations when they did not include extra GHGs and this result can be demonstrated with a statistical model as well.

Full explanation at Warming from CO2 Unlikely

For more on measurements and science see Data, Facts and Information

 

Tsonis Explains Oceans Making Climate

 

THE LITTLE BOY El Niño and natural climate change by Anastasios Tsonis is a newly published GWPF report discussing how the ocean drives climate fluctuations.  This adds to a continuing theme of this blog, Oceans Make Climate, coined by Dr. Arnd Bernaerts, also expressed as Oceans Govern Climate.  The whole PDF is worth reading.

My own effort to describe these ocean oscillations is Dynamic Duo: The Ocean-Air Partnership which discusses how several of these oscillations operate, including the ENSO (El Nino) cycle:
Other posts provide background on climate effects from oceans.

Climate Report from the Water World discusses the linkage of global temperatures to ocean temperatures (SST).

Empirical Evidence: Oceans Make Climate presents in situ measurements of the ocean-air heat exchange flux.

All essays on this theme are found in the Category: Oceans Make Climate

Climate Confusion and Clarity

Christelle Lagace-Babim, left, and Elise Lagace walk along Rue Jacques-Cartier Friday, after checking out their home in Gatineau, Que., as significant rainfall continues to cause flooding. (Justin Tang/Canadian Press)

A lot of verbage about global warming/climate change is worse than useless because the parties are using terms whose meaning is vague or equivocal, and thus no meaningful interaction occurs. Alarmists/activists claim climate change is real, man-made, and dangerous (Obama tweet). Skeptics/doubters respond that climate is always changing, has been both warmer and cooler in the past, long before humans did anything.

In addition, climate confusion causes statements like this one recently in the CBC: Gatineau flooding ‘tip of the iceberg,’ climate scientist warns

Swollen rivers and streams have threatened hundreds of homes in the Outaouais thanks to recent heavy rainfall — three times the normal amount since April 1.

University of Ottawa climate scientist Paul Beckwith says that’s due to a changing climate, and says we’re seeing its effects “on a day-to-day basis” in weather patterns.

Beckwith points to an increase in extreme weather events across North America as proof. “We’ve changed the chemistry of the atmosphere and the oceans with our greenhouse gases, so we’re seeing the consequences of this now,” he added. “It’s only the tip of the iceberg, so to speak.”

Such reports mislead people to think of the climate acting like some kind of agent causing the weather to change in ways unfavorable to us. That confuses the relation between climate and weather, as we shall see below.

What is “Weather”?

Fortunately in science things get defined not theoretically but by observations and measurements. In science, weather is defined as the behavior we measure on a daily basis. In fact today’s automated weather equipment monitors the weather constantly. Let us consider an operational definition of weather to be the variables for which data is reported into global databases.

 

Each National Weather Service has its own additional particulars they track, but the common global definition of weather can be seen in the defined elements from the ECA&D weather data dictionary (European Climate Assessment & Dataset)

Weather Measurement Elements

What is weather: Eight variables are measured globally–Sunshine, Sea Level Pressure, Humidity, Cloud cover, Wind, Precipitation, Snow Depth, Temperature. With multiple measures of some variables, weather datasets consist of 13 common elements.

Sunshine (SS) in units of 0.1 hour. Total daily SS plus measures of hours for intervals during the day.

Sea Level Pressure (PP) in units of 0.1hPa Daily average PP plus measures for specific times and parts of the day.

Humidity (HU) in units of 1% of relative humidity. Daily average HU plus measures for specific times and parts of the day.

Cloud Cover (CC) in oktas (0 being clear sky, 8 being completely overcast). Daily average CC plus measures for specific times and parts of the day.

Wind Direction (DD) in degrees azimuth for the wind source (that is, a southerly wind comes from 180 degrees.) Daily average DD plus measures for different times of day, and the direction of maximum gust.

Wind Speed (FG) in units of 0.1 m/s. Daily average FG plus measures for speeds at different times and parts of the day.

Wind Gust (FX) in units of 0.1m/s.  Daily average FX (24 hourly gusts) plus measures for maximums of different durations. (2 to 15 minutes).

Precipitation Amount (RR) in units of 0.1 mm. Daily total RR plus measures of amounts for intervals during the day.

Maximum Hourly Precipitation (MXR) in units of 0.1 mm. MXR for the day plus measures of amounts for intervals during the day.

Snow Depth (SD) in units of 1 cm. Mean daily SD plus measures of depths for intervals during the day.

Mean Temperature (TG) in units of 0.1C. Daily TG plus measures of various ways of calculating TG.

Minimum Temperature (TN) in units of 0.1C. Daily TN plus measures for different times and parts of the day.

Maximum Temperature (TX) in units of 0.1C. Daily TX plus measures for different times and parts of the day.

What is “Climate”?

Change in Frequency of Frost Days in Europe in the Period 1976-2006

To sort out the confusion between “weather” and “climate”, we can also look at how climate is measured and thereby defined. From the same ECA&D source is a climate indices database which is termed Indices of Extremes.

There is one datafile for each index. Each datafile gives information for all available stations in the ECA&D database. The indices are aggregated over the year, the winter-half (ONDJFM), the summer-half (AMJJAS), winter (DJF), spring (MAM), summer (JJA), autumn (SON) and each of the calendar months.

There are 74 indices grouped into twelve categories corresponding with different aspects of climate change. Some categories come directly from weather elements, while others are derivations.

The 74 indices are statistics built upon weather data, adding patterns of interest to humans. For example, temperature is greatly emphasized by adding various concerns with heat and cold on top of temperature records. Also, a compound category focuses on temperature and precipitation combinations and their favorability to humans.

What is Climate: Categories and Indices

Note that climate is operationally defined as statistical patterns of weather data. Some indices are simply averages of daily weather over long term periods. By convention, a 30-year average is used to define a climate baseline for a location.

Other climate indices are based on value judgments according to human interests. For example, heat and cold include many examples like growing days, good tourism days, heating degree days. In fact, a feature of climate is the imposition of human expectations upon nature, other examples being the sunshine indices Mostly Sunny and Mostly Cloudy days.

Andrew John Herbertson, a British geographer and Professor at Oxford, wrote in a textbook from 1901:

By climate we mean the average weather as ascertained by many years’ observations. Climate also takes into account the extreme weather experienced during that period. Climate is what on an average we may expect, weather is what we actually get.

Mark Twain, who is often credited with that last sentence, actually said:

Climate lasts all the time and weather only a few days.

The point is, weather consists of events occurring in real time, while climate is a statistical artifact. Weather is like a baseball player swinging in the batter’s box, climate is his batting average, RBIs, bases on balls, etc.

What is “Climate Change”?

The usefulness of climate indices is suggested by the last category called compound, where temperature and precipitation patterns are combined. In fact those two factors are sufficient to define distinctive local climate zones..

Based on empirical observations, Köppen (1900) established a climate classification system which uses monthly temperature and precipitation to define boundaries of different climate types around the world. Since its inception, this system has been further developed (e.g. Köppen and Geiger, 1930; Stern et al., 2000) and widely used by geographers and climatologists around the world.

188767-004-6bde1150

Köppen climate zones as they appear in the 21st Century.

As an example, consider how the island of Hawaii looks with its climate zones indicated:

Note: This image comes from an interactive tool and uses a different color scheme than the global map above.  The table below shows the thresholds by which zones are defined.

Zones Zones Description Thresholds
A Tropical climates Tmin ≥ +18 °C
Af Tropical rain forest Pmin ≥ 60 mm
Am Tropical monsoon Pann ≥ 25(100 – Pmin) mm
As Tropical savannah with dry summer Pmin < 60 mm in summer
Aw Tropical savannah with dry winter Pmin < 60 mm in winter
B Dry climates Pann < 10 Pth
BW Desert (arid) Pann ≤ 5 Pth
BS Steppe (semi-arid) Pann > 5 Pth
C Mild temperate -3 °C < Tmin < +18 °C
Cs Mild temperate with dry summer Psmin < Pwmin, Pwmax > 3 Psmin, Psmin < 40 mm
Cw Mild temperate with dry winter Psmax > 10 Pwmin, Pwmin < Psmin
Cf Mild temperate, fully humid Not Cs or Cw
D Snow Tmin ≤ -3 °C
Ds Snow with dry summer Psmin < Pwmin, Pwmax > 3 Psmin, Psmin < 40 mm
Dw Snow with dry winter Psmax > 10 Pwmin, Pwmin < Psmin
Df Snow, fully humid Not Ds or Dw
E Polar Tmax < +10 °C
ET Tundra Tmax ≥ 0 °C
EF Frost Tmax < 0 °C

Köppen and Climate Change

The focus is on differentiating vegetation regimes, which result primarily from variations in temperature and precipitation over the seasons of the year. Now we have an interesting study that considers shifts in Köppen climate zones over time in order to identify changes in climate as practical and local/regional realities.  The paper is: Using the Köppen classification to quantify climate variation and change: An example for 1901–2010 By Deliang Chen and Hans Weiteng Chen Department of Earth Sciences, University of Gothenburg, Sweden

Hans Chen has built an excellent interactive website (here): The purpose of this website is to share information about the Köppen climate classification, and provide data and high-resolution figures from the paper Chen and Chen, 2013:  For more details on Chen and Chen see the post: Data vs. Models 4: Climates Changing

Summary:  Climate Change Defined

Chen and Chen provide a data-based definition of “climate change”. Climate zones are defined by past temperature and precipitation ranges observed by humans. The weather datasets and climate indices inform us whether or not the patterns in a place are moving outside the norm for that location. Climate change appears as a shift in zonal boundaries so that one place starts to resemble a neighboring zone with a different classification.  The table above shows the defined zones and thresholds.

The Chen and Chen analysis shows that almost half of climates around the world will get a year of weather outside of their normal ranges. Getting a decade of abnormal weather is much rarer. True climate change would be a shift enduring over a 30 year period which has been observed in less than 10% of all climate zones.

Summary: The Myth of “Global” Climate Change

Climate is a term to describe a local or regional pattern of weather. There is a widely accepted system of classifying climates, based largely on distinctive seasonal variations in temperature and precipitation. Depending on how precisely you apply the criteria, there can be from 6 to 13 distinct zones just in South Africa, or 8 to 11 zones only in Hawaii.

Each climate over time experiences shifts toward warming or cooling, and wetter or drier periods. One example: Fully a third of US stations showed cooling since 1950 while the others warmed. It is nonsense to average all of that and call it “Global Warming” because the net is slightly positive. Only in the fevered imaginations of CO2 activists do all of these diverse places move together in a single march toward global warming.

For more on measurements and science see Data, Facts and Information

Footnote:

weather10seylanbax_2079151i

This post was focused on the distinction between weather and climate, so extreme weather events were not discussed, since by definition such events are weather. Still the quote at the beginning shows that activists are working hard to attribute attention-grabbing events as proof of global warming/climate change.

Mike Hulme wrote a series of articles describing the unsuccessful effort to link extreme weather to climate change and said this:
In recent decades the meaning of climate change in popular western discourse has changed from being a descriptive index of a change in climate (as in ‘evidence that a climatic change has occurred’) to becoming an independent causative agent (as in ‘climate change caused this event to happen’). Rather than being a descriptive outcome of a chain of causal events affecting how weather is generated, climate change has been granted power to change worlds: political and social worlds as much as physical and ecological ones.

More at X-Weathermen are Back