Gross Errors in Textbook Climate Science

Dr. Paul Pettré provides a damning critque of textbook climate science taught to impressionable students.

Paul Pettré is Honorary Chief Meteorological Engineer. His scientific training took place at the Pierre and Marie Curie University (Paris VI) where he obtained a PhD in geophysics with Professor Paul Queney. His career developed at Météo-France by analyzing aerological campaigns on local winds and air pollution problems. At the end of his career, Paul Pettré turned to the study of atmospheric circulation and climate in Antarctica, where he carried out seven missions. Paul Pettré has published numerous articles in high-level peer-reviewed journals internationally and has established collaborations with several international research teams.

His article in French is at the blog Association des climato-réalistes Critique objective du concept d’effet de serre (Objective Critique of Greenhouse Gas Effect).  The paper in French is here as a Word Document. Below is an English translation I produced using an online translator (any mistakes you can attribute to Mr. Google).  Later on I post some insightful comments with responses from the author, which really served as a tutorial on earth’s climate system and its thermodynamics.   Dr. Pettré’s summary comment in that thread serves as an overview to the paper and discussion. (bolds are mine along with some images).

Plain Language Overview

In this paper, we discuss the radiation budget observed by satellite over an annual cycle. In this radiation budget, only two fluxes are measured: the incoming flux of 340 W and the flux emitted by the surface of the Earth + Oceans system of 240 W. All other terms of the Earth’s energy balance are estimates. The IPCC says that the Earth is in thermal equilibrium, implying that the energy emitted to the cosmos is 340 W to balance the incoming energy.

The IPCC says that the Earth + Ocean system emits to the atmosphere all the energy received from the sun estimated at 240 W, implying that the Earth + Ocean system is a black body. What physics says is that the thermodynamic system Earth + Oceans + Atmosphere is not in thermal equilibrium and that it has entropy. Physics also says that the Earth + Oceans thermodynamic system is not a black body and therefore the energy emitted from the surface of the system to the atmosphere is not equal to the energy received.

The IPCC’s energy balance is therefore wrong for these two reasons, which are purely a matter of thermodynamics. In this false assessment, a certain amount of energy is missing, which comes from hazardous estimates attributed to what the IPCC calls the “greenhouse effect”. This missing energy, estimated at 155 W, was calculated according to the “Earth’s energy budget” proposed by NASA/NOAA, which is agreed upon by the IPCC.

Objective Criticism of the Greenhouse Effect Concept

The scientific consensus introduced by the IPCC several years ago is that the Climatic warming observed since the mid-19th century would be the consequence of the increase in the concentration of “greenhouse gases” (GHGs) resulting from the concomitant increase in the industrial activities that consume the fossil fuels such as coal and oil.

For example, the chemistry textbook for university students (Th.L.Brown, H.E. LeMay, Jr. a.o. Chemistry. The Central Science. Pearson Education. 2009. ISBN 978-0-13-235-848-4. 1117 pp.) says on page 761 [1, p 761]:

“In addition to protecting us from harmful short-wavelength radiation, the atmosphere is essentially at a reasonably uniform and moderate temperature at the Earth’s surface. The Earth is in global thermal equilibrium with its environment. That means that the planet is emitting energy into space at a rate equal to the rate at which it absorbs energy from the sun. (…)

A portion of the infrared radiation that covers the surface of the the Earth is absorbed by water vapor and carbon dioxide from the atmosphere. In Absorbing this radiation, these two atmospheric gases help to maintain a uniform and livable temperature at the surface by retaining, so to speak, infrared radiation, which we feel as heat. The influence of H2O, CO2 and certain other atmospheric gases on the temperature of the Earth is called the “greenhouse effect” because, by trapping infrared radiation, these gases act like the glass in a greenhouse. The gases themselves are called “greenhouse gases” (GHG).”

This definition corresponds to the current scientific consensus of what is known as the “greenhouse effect” advocated by the IPCC and supported by most of the national scientific institutes such as NOAA in the United States or CNRS in France.

However, this definition lacks scientific rigour due to approximations or
neglect and ignorance of the physical laws that govern general circulation
of the atmosphere at the origin of what is known as the climate.

The first three sentences of the first paragraph of this definition are erroneous from a scientific point of view:

1. The atmosphere does not maintain a uniform and moderate temperature at the surface of the Earth.

The atmosphere of planet Earth is the gaseous fluid that surrounds its surface. This gas is held together by gravitational attraction and is set in motion by the unequal heating of its surface (thermodynamics) and by the rotation of the planet (force of of Coriolis).

The general circulation of the atmosphere is characterized by a very strong predominance of horizontal displacements, which are themselves generated by the predominance of meridional temperature or pressure gradients. On a global scale, it is considered that there is a close correlation between the distribution of the wind and pressure, and therefore also temperature by virtue of the hydrostatic equation.

It is therefore necessary to consider seasonal mean meridional distribution of temperature, pressure, and meridional component of the wind. In the troposphere, the average temperature decreases upwards at an average rate of 6 to 7°C per km, and horizontally towards the pole in each of the temperate zones, maximum amplitude in winter and minimum amplitude in summer. Horizontal meridional gradients are especially important in temperate zones and very low in all seasons in the equatorial zone.

As a result, the Earth’s global atmospheric circulation has bands alternating zonal circulation resulting from meridional temperature gradients, separated by areas of convergence and divergence of winds, which result from the Coriolis force generated by the rotation of the Earth on the herself. It is not scientifically possible to separate the global atmospheric circulation climate.

As a result, the control of climate models cannot be based on a criterion
that has no physical link with the overall atmospheric circulation.

Control of climate models based on an average surface temperature should, in order to be scientifically credible, be based on five meridian zones: -90° at -60°, -60° to -30°, -30° to +30°, +30° to +60° and +60° to +90°, where the – and + signs denote the southern and northern hemispheres.

2. The Earth is not in thermal equilibrium with its environment.

According to William Lowrie, the Earth’s internal heat is its greatest source of energy. It feeds into global geological processes such as the tectonics of the plates and the generation of the geomagnetic field. The Earth’s Internal Heat comes from two sources: the decay of radioactive isotopes present in rocks of the crust and mantle, and the primordial heat from the formation of the of the planet. Internal heat must find a way to remove itself from the Earth. The three main forms of heat transfer are radiation, conduction, and convection. Heat is also transferred during the transitions of composition and phase. Heat transport by conduction is the most important in solid regions of the Earth, while thermal convection occurs in the viscous mantle and the molten outer core.

According to the KamLAND collaboration, the Earth has cooled since its formation, but the decay of radiogenic isotopes, in particular uranium, thorium and potassium, in the interior of the planet, are a source of permanent heat. The current total heat flux from Earth to space is 44.2±1.0 TW, but the contribution from the primary waste heat and the radiogenic decay remains uncertain. However, the disintegration of radiogenic radiation can be estimated by the flux of geoneutrinos, electrically neutral emissions that are emitted during radio decay and that can cross the Earth practically unaffected. Here we combine precise measurements of the geoneutrino flux made by the antineutrino detector Kamioka, Japan, with existing detector measurements Borexino, Italy.

We find that the decay of uranium-238 and of Thorium-232 both contribute to the Earth’s heat flow. Neutrinos emitted by the decay of potassium 40 are below the detection limits of our experiences, but they are known to contribute 4 TW. Overall, our Observations indicate that the heat from the radioactive decay contributes to about half of the Earth’s total heat flux. We therefore conclude that the primordial heat of the Earth is not yet exhausted.

3.  The Earth emits more energy into space than it receives from the sun

The sun is not the Earth’s only source of heat. The sun provides the Earth a net solar radiation of 235 W/m2. In order for the Earth to be in thermal equilibrium, it would have to move into space as soon as possible 244 W/m2. In this case, the Earth would behave like a black body and there would be neither global warming nor cooling of the surface. For an emission of 235 W/m2 from Earth to space, that is, if the Earth were a black body, corresponds, by applying the Stefan-Boltzmann law with an albedo of 1, an average Earth’s surface temperature of -19°C.

But the Earth emits 390 W/m2 to space. So the Earth is not a black body since it emits 155 W/m2 more than it receives. For an emission of 390 W/m2, corresponds, applying the Stefan-Boltzmann law with an average albedo of 0.3, an average surface temperature of the Earth of 15°C. The mere fact that the Earth is not a black body, but a body with an average albedo has been estimated at 0.3 results in a warming of the average temperature Earth’s global surface temperature of about 30°C.

The CNRS in an article written by Marie-Antoine Mélières explains what warming by the “greenhouse effect” would provide the 155 W/m2 required for emission from the Earth’s surface of 390 W/m2. This theory assumes that the Earth and its atmosphere are two separate bodies, each in thermal equilibrium, and that all the energy received independently by one and the other is fully reissued by each one. This concept is demonstrably false since it would require that the Earth and the atmosphere be black bodies.

The Earth cannot be a black body because: on the one hand, it has an average albedo estimated at 0.3, which means that it does not re-emit all the energy received. And on the other hand that its core is made of molten material that radiates heat to the surface that it warms up. The volcanic regions are a clear proof of this. Similarly, there is no physical evidence that the atmosphere is a black body. It could not be since you can’t define its upper limit: it has no surface area above a given temperature.

As a result, it must be noted that the definition of the “greenhouse effect”
that is proposed by the IPCC and generally supported by scientific
institutions is a concept that cannot be not be scientifically proven.

We have seen that in the radiative balance of the Earth the 155 W/m2 that are emitted into the atmosphere can not be attributed to the “greenhouse effect. “That assumes the Earth behaves in a way like a black body, which it clearly is not, since it is scientifically accepted that it has a mean albedo different from 1 (O,3). And at least one can observe and evaluate locally, the heating of the surface by the Earth’s internal heat.

The CNRS statement (cited above) states: “The global effect of the greenhouse effect (is estimated): 155 watts per m2 surface heating (of which approximately 100 Watts related to the role of water vapour and 50 watts to CO2, all other remaining greenhouse gases constant”. That statement is therefore not physically demonstrated, nor is there any evidence of the effects claimed for the doubling of the concentration of CO2 in the atmosphere.

Comment Thread at Association des climato-réalistes

Various commenters participated, a few quite adversarial, and many inquisitive, with several responses provided by the author Dr.Paul Pettré.  Not surprising was the dismissing of earth internal heat as a climate factor.  The author responded accordingly.

Contrary to what you say, I do not give in my article the value of 44 TW for “the terrestrial heat flux”, but for one of the two terrestrial fluxes identified in the article cited in reference and estimated at 155 W per m2. Meteorology and climate are not exact sciences, but the mechanisms that govern them must always be able to be explained by physics. This requires working with proven scientific methods and some approximations or assumptions are permitted, but a responsible scientist must always keep in mind the assumptions on which he or she has based his or her study and be willing to examine contradictions if they arise.

Pettré provides a context regarding Earth internal heat:

Any thermodynamic system that is not in equilibrium, i.e. if a temperature gradient and/or movement is observed within the system, will necessarily tend for physical reasons to eventually reach a state of equilibrium. The Earth is no exception to this rule: it consumes energy that is not renewable and it is inexorably cooling. The problem is therefore to assess the entropy of the Earth and, knowing its energy reserve, to estimate its lifetime.

The loss of energy by radiation is not the only one to be taken into account because there is also the friction due to its rotation on itself and its displacement in the cosmos which is not empty. There may be others that I don’t know about, but I guess the energy lost through radiation is the most important. What is shocking about the very low value in mW/m2 that is proposed to us is that it leads to the Earth being almost eternal, which is probably not consistent with generally accepted astronomical theories.

I believe that the Earth’s energy reserve is evaluated on the basis of the mass of iron that constitutes the core of the Earth and its temperature, which has recently been re-evaluated, to the order of 6250°C, close to that of the surface of the sun. The objective of the referenced article was to assess the Earth’s life reserve. The authors’ conclusion is that there was no need to worry about this.

The problem we are interested in is whether the heat transfer from the centre of the Earth to the cosmos is the one identified so far of 44 TW or whether there could be another one of unidentified electromagnetic origin. The referenced article identified such a source of electromagnetic radiation measurable by complex methods and gave an approximate estimate of 155 W/m2, but this assessment was not the objective of the study and is given as a guideline. Nevertheless, it is of great value to us because it is a new result for the Earth’s energy balance.

To answer your question, we need to take into account the functioning of the Earth’s core and the influence of solar radiation on it. These questions are the subject of arduous discussions among astronomers which I cannot go into. Basically, in the center of the Earth, there is a core made of iron at a temperature of 6250°C. The energy source is nuclear fission. Around this core there is magma at a temperature between 680°C and 1200°C. Around the magma there is the Earth’s crust formed by tectonic plates.

Magma is in motion because the Earth rotates and it is subject, like the atmosphere, to the Coriolis force which varies with latitude, zero at the poles, maximum at the equator and combines with centrifugal force. It is this movement of the plasma that explains why there is a certain thrust on the Earth’s crust that displaces the tectonic plates. Over a very long period of time, on the order of billions of years, this force moves continents and modifies the climate.

Some authors believe that magma is isothermal and therefore not a source of electromagnetic radiation. Other authors consider the fact that the earth is in the atmosphere of the sun and subject to solar electromagnetic radiation which would have an effect on the magma which would be anisotropic from a magnetic point of view with an outward orientation. This electromagnetic anisotropy of the magma would explain the electromagnetic radiation observed by the authors.

Solar electromagnetic disturbances have a known period of 11 years. We are currently at the maximum of these disturbances, which may explain the increase in the frequency of some of the events currently observed. I can mention the auroras because the connection is obvious. To conclude, I would say that the discussion around these 155 W/m2 can take place, but it is not possible to dismiss this observation without serious argumentation.

Background Post Overview: Seafloor Eruptions and Ocean Warming

 

 

 

 

UAH November 2023: Ocean Stays Warm, Land Cools

The post below updates the UAH record of air temperatures over land and ocean. Each month and year exposes again the growing disconnect between the real world and the Zero Carbon zealots.  It is as though the anti-hydrocarbon band wagon hopes to drown out the data contradicting their justification for the Great Energy Transition.  Yes, there has been warming from an El Nino buildup coincidental with North Atlantic warming, but no basis to blame it on CO2.  

As an overview consider how recent rapid cooling  completely overcame the warming from the last 3 El Ninos (1998, 2010 and 2016).  The UAH record shows that the effects of the last one were gone as of April 2021, again in November 2021, and in February and June 2022  At year end 2022 and continuing into 2023 global temp anomaly matched or went lower than average since 1995, an ENSO neutral year. (UAH baseline is now 1991-2020).

For reference I added an overlay of CO2 annual concentrations as measured at Mauna Loa.  While temperatures fluctuated up and down ending flat, CO2 went up steadily by ~60 ppm, a 15% increase.

Furthermore, going back to previous warmings prior to the satellite record shows that the entire rise of 0.8C since 1947 is due to oceanic, not human activity.

gmt-warming-events

The animation is an update of a previous analysis from Dr. Murry Salby.  These graphs use Hadcrut4 and include the 2016 El Nino warming event.  The exhibit shows since 1947 GMT warmed by 0.8 C, from 13.9 to 14.7, as estimated by Hadcrut4.  This resulted from three natural warming events involving ocean cycles. The most recent rise 2013-16 lifted temperatures by 0.2C.  Previously the 1997-98 El Nino produced a plateau increase of 0.4C.  Before that, a rise from 1977-81 added 0.2C to start the warming since 1947.

Importantly, the theory of human-caused global warming asserts that increasing CO2 in the atmosphere changes the baseline and causes systemic warming in our climate.  On the contrary, all of the warming since 1947 was episodic, coming from three brief events associated with oceanic cycles. And now in 2023 we are seeing an amazing episode with a temperature spike driven by ocean air warming in all regions. 

Update August 3, 2021

Chris Schoeneveld has produced a similar graph to the animation above, with a temperature series combining HadCRUT4 and UAH6. H/T WUWT

image-8

 

mc_wh_gas_web20210423124932

See Also Worst Threat: Greenhouse Gas or Quiet Sun?

November 2023 Ocean Stays Warm, Land Cools

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With apologies to Paul Revere, this post is on the lookout for cooler weather with an eye on both the Land and the Sea.  While you will hear a lot about 2020-21 temperatures matching 2016 as the highest ever, that spin ignores how fast the cooling set in.  The UAH data analyzed below shows that warming from the last El Nino had fully dissipated with chilly temperatures in all regions. After a warming blip in 2022, land and ocean temps dropped again with 2023 starting below the mean since 1995.  Spring and Summer 2023 saw a series of warmings.  Now in November the high persisted due to another rise in ocean air temps in all regions, while land air temps cooled everywhere, most strongly in SH.

UAH has updated their tlt (temperatures in lower troposphere) dataset for November 2023. Posts on their reading of ocean air temps this month preceded updated records from HadSST4.  I last posted on SSTs using HadSST4 October 2023 Ocean Cooling Off.  This month also has a separate graph of land air temps because the comparisons and contrasts are interesting as we contemplate possible cooling in coming months and years.

Sometimes air temps over land diverge from ocean air changes.  November 2023 is notable for a dichotomy between Ocean and Land air temperatures in UAH dataset. Remarkably a new high for Ocean air temps appeared with warming in all regions, while Land air temps dropped with cooling in all regions.  As a result the Global Ocean and Land anomaly result remained little changed.

Note:  UAH has shifted their baseline from 1981-2010 to 1991-2020 beginning with January 2021.  In the charts below, the trends and fluctuations remain the same but the anomaly values change with the baseline reference shift.

Presently sea surface temperatures (SST) are the best available indicator of heat content gained or lost from earth’s climate system.  Enthalpy is the thermodynamic term for total heat content in a system, and humidity differences in air parcels affect enthalpy.  Measuring water temperature directly avoids distorted impressions from air measurements.  In addition, ocean covers 71% of the planet surface and thus dominates surface temperature estimates.  Eventually we will likely have reliable means of recording water temperatures at depth.

Recently, Dr. Ole Humlum reported from his research that air temperatures lag 2-3 months behind changes in SST.  Thus cooling oceans portend cooling land air temperatures to follow.  He also observed that changes in CO2 atmospheric concentrations lag behind SST by 11-12 months.  This latter point is addressed in a previous post Who to Blame for Rising CO2?

After a change in priorities, updates are now exclusive to HadSST4.  For comparison we can also look at lower troposphere temperatures (TLT) from UAHv6 which are now posted for November.  The temperature record is derived from microwave sounding units (MSU) on board satellites like the one pictured above. Recently there was a change in UAH processing of satellite drift corrections, including dropping one platform which can no longer be corrected. The graphs below are taken from the revised and current dataset.

The UAH dataset includes temperature results for air above the oceans, and thus should be most comparable to the SSTs. There is the additional feature that ocean air temps avoid Urban Heat Islands (UHI).  The graph below shows monthly anomalies for ocean air temps since January 2015.

Note 2020 was warmed mainly by a spike in February in all regions, and secondarily by an October spike in NH alone. In 2021, SH and the Tropics both pulled the Global anomaly down to a new low in April. Then SH and Tropics upward spikes, along with NH warming brought Global temps to a peak in October.  That warmth was gone as November 2021 ocean temps plummeted everywhere. After an upward bump 01/2022 temps reversed and plunged downward in June.  After an upward spike in July, ocean air everywhere cooled in August and also in September.   

After sharp cooling everywhere in January 2023, all regions were into negative territory. Note the Tropics matched the lowest value, but since have spiked sharply upward +1.4C, with the largest increases in April to July, and continuing in Autumn 2023.  NH also warmed to 0.83C in the last 9 months, while SH ocean air rose about the same. Global Ocean air November 2023 now exceeds the 2016 peak by 0.2C, the main difference being the much higher rise in SH anomalies since June.  The strength of the El Nino will determine the pattern in coming months.

Land Air Temperatures Tracking in Seesaw Pattern

We sometimes overlook that in climate temperature records, while the oceans are measured directly with SSTs, land temps are measured only indirectly.  The land temperature records at surface stations sample air temps at 2 meters above ground.  UAH gives tlt anomalies for air over land separately from ocean air temps.  The graph updated for November is below.

Here we have fresh evidence of the greater volatility of the Land temperatures, along with extraordinary departures by SH land.  Land temps are dominated by NH with a 2021 spike in January,  then dropping before rising in the summer to peak in October 2021. As with the ocean air temps, all that was erased in November with a sharp cooling everywhere.  After a summer 2022 NH spike, land temps dropped everywhere, and in January, further cooling in SH and Tropics offset by an uptick in NH. 

Remarkably, in 2023, SH land air anomaly shot up 1.6C, from  -0.56C in January to +1.03 in October, then dropped to 0.7 in November.  Tropical land temps are up 1.6 since January and NH Land air temps rose 0.9, mostly since May.  Now in November NH land air temps are little changed and Tropical land temps down nearly 0.2C.

The Bigger Picture UAH Global Since 1980

The chart shows monthly Global anomalies starting 01/1980 to present.  The average monthly anomaly is -0.05, for this period of more than four decades.  The graph shows the 1998 El Nino after which the mean resumed, and again after the smaller 2010 event. The 2016 El Nino matched 1998 peak and in addition NH after effects lasted longer, followed by the NH warming 2019-20.   An upward bump in 2021 was reversed with temps having returned close to the mean as of 2/2022.  March and April brought warmer Global temps, later reversed.

With the sharp drops in Nov., Dec. and January 2023 temps, there was no increase over 1980. Now in 2023 the buildup to the October/November peak exceeds the sharp April peak of the El Nino 1998 event. It also surpasses the February peak in 2016.  Where it goes from here, up or down, remains to be seen.

The graph reminds of another chart showing the abrupt ejection of humid air from Hunga Tonga eruption.

TLTs include mixing above the oceans and probably some influence from nearby more volatile land temps.  Clearly NH and Global land temps have been dropping in a seesaw pattern, nearly 1C lower than the 2016 peak.  Since the ocean has 1000 times the heat capacity as the atmosphere, that cooling is a significant driving force.  TLT measures started the recent cooling later than SSTs from HadSST3, but are now showing the same pattern. Despite the three El Ninos, their warming has not persisted prior to 2023, and without them it would probably have cooled since 1995.  Of course, the future has not yet been written.

 

October 2023 Ocean Cooling Off

The best context for understanding decadal temperature changes comes from the world’s sea surface temperatures (SST), for several reasons:

  • The ocean covers 71% of the globe and drives average temperatures;
  • SSTs have a constant water content, (unlike air temperatures), so give a better reading of heat content variations;
  • Major El Ninos have been the dominant climate feature in recent years.

HadSST is generally regarded as the best of the global SST data sets, and so the temperature story here comes from that source. Previously I used HadSST3 for these reports, but Hadley Centre has made HadSST4 the priority, and v.3 will no longer be updated.  HadSST4 is the same as v.3, except that the older data from ship water intake was re-estimated to be generally lower temperatures than shown in v.3.  The effect is that v.4 has lower average anomalies for the baseline period 1961-1990, thereby showing higher current anomalies than v.3. This analysis concerns more recent time periods and depends on very similar differentials as those from v.3 despite higher absolute anomaly values in v.4.  More on what distinguishes HadSST3 and 4 from other SST products at the end. The user guide for HadSST4 is here.

The Current Context

The chart below shows SST monthly anomalies as reported in HadSST4 starting in 2015 through October 2023.  A global cooling pattern is seen clearly in the Tropics since its peak in 2016, joined by NH and SH cycling downward since 2016. 

Note that in 2015-2016 the Tropics and SH peaked in between two summer NH spikes.  That pattern repeated in 2019-2020 with a lesser Tropics peak and SH bump, but with higher NH spikes. By end of 2020, cooler SSTs in all regions took the Global anomaly well below the mean for this period.  In 2021 the summer NH summer spike was joined by warming in the Tropics but offset by a drop in SH SSTs, which raised the Global anomaly slightly over the mean.

Then in 2022, another strong NH summer spike peaked in August, but this time both the Tropic and SH were countervailing, resulting in only slight Global warming, later receding to the mean.   Oct./Nov. temps dropped  in NH and the Tropics took the Global anomaly below the average for this period. After an uptick in December, temps in January 2023 dropped everywhere, strongest in NH, with the Global anomaly further below the mean since 2015.

Now comes El Nino as shown by the upward spike in the Tropics since January, the anomaly nearly tripling from 0.38C to 1.07C.  In August 2023, all regions rose, especially NH up from 0.70C to 1.37C, pulling up the global anomaly to a new high for this period. September showed a new peak for NH at 1.41, but now in October anomalies in all regions have dropped down 0.1C to bring the Global anomaly back down.

Comment:

The climatists have seized on this unusual warming as proof of their Zero Carbon agenda, without addressing how impossible it would be for CO2 warming the air to raise ocean temperatures.  It is the ocean that warms the air, not the other way around.  Recently Steven Koonin had this to say about the phonomenon confirmed in the graph above:

El Nino is a phenomenon in the climate system that happens once every four or five years.  Heat builds up in the equatorial Pacific to the west of Indonesia and so on.  Then when enough of it builds up it surges across the Pacific and changes the currents and the winds.  As it surges toward South America it was discovered and named in the 19th century  It is well understood at this point that the phenomenon has nothing to do with CO2.

Now people talk about changes in that phenomena as a result of CO2 but it’s there in the climate system already and when it happens it influences weather all over the world.   We feel it when it gets rainier in Southern California for example.  So for the last 3 years we have been in the opposite of an El Nino, a La Nina, part of the reason people think the West Coast has been in drought.

It has now shifted in the last months to an El Nino condition that warms the globe and is thought to contribute to this Spike we have seen. But there are other contributions as well.  One of the most surprising ones is that back in January of 2022 an enormous underwater volcano went off in Tonga and it put up a lot of water vapor into the upper atmosphere. It increased the upper atmosphere of water vapor by about 10 percent, and that’s a warming effect, and it may be that is contributing to why the spike is so high.

A longer view of SSTs

To enlarge, open image in new tab.

The graph above is noisy, but the density is needed to see the seasonal patterns in the oceanic fluctuations.  Previous posts focused on the rise and fall of the last El Nino starting in 2015.  This post adds a longer view, encompassing the significant 1998 El Nino and since.  The color schemes are retained for Global, Tropics, NH and SH anomalies.  Despite the longer time frame, I have kept the monthly data (rather than yearly averages) because of interesting shifts between January and July.1995 is a reasonable (ENSO neutral) starting point prior to the first El Nino. 

The sharp Tropical rise peaking in 1998 is dominant in the record, starting Jan. ’97 to pull up SSTs uniformly before returning to the same level Jan. ’99. There were strong cool periods before and after the 1998 El Nino event. Then SSTs in all regions returned to the mean in 2001-2. 

SSTS fluctuate around the mean until 2007, when another, smaller ENSO event occurs. There is cooling 2007-8,  a lower peak warming in 2009-10, following by cooling in 2011-12.  Again SSTs are average 2013-14.

Now a different pattern appears.  The Tropics cooled sharply to Jan 11, then rise steadily for 4 years to Jan 15, at which point the most recent major El Nino takes off.  But this time in contrast to ’97-’99, the Northern Hemisphere produces peaks every summer pulling up the Global average.  In fact, these NH peaks appear every July starting in 2003, growing stronger to produce 3 massive highs in 2014, 15 and 16.  NH July 2017 was only slightly lower, and a fifth NH peak still lower in Sept. 2018.

The highest summer NH peaks came in 2019 and 2020, only this time the Tropics and SH were offsetting rather adding to the warming. (Note: these are high anomalies on top of the highest absolute temps in the NH.)  Since 2014 SH has played a moderating role, offsetting the NH warming pulses. After September 2020 temps dropped off down until February 2021.  In 2021-22 there were again summer NH spikes, but in 2022 moderated first by cooling Tropics and SH SSTs, then in October to January 2023 by deeper cooling in NH and Tropics.  

Now in 2023 the Tropics flipped from below to well above average, while NH has produced a summer peak extending into September higher than any previous year. In fact, October is now showing that this number is likely the crest.

What to make of all this? The patterns suggest that in addition to El Ninos in the Pacific driving the Tropic SSTs, something else is going on in the NH.  The obvious culprit is the North Atlantic, since I have seen this sort of pulsing before.  After reading some papers by David Dilley, I confirmed his observation of Atlantic pulses into the Arctic every 8 to 10 years.

Contemporary AMO Observations

Through January 2023 I depended on the Kaplan AMO Index (not smoothed, not detrended) for N. Atlantic observations. But it is no longer being updated, and NOAA says they don’t know its future.  So I find that ERSSTv5 AMO dataset has data through October.  It differs from Kaplan, which reported average absolute temps measured in N. Atlantic.  “ERSST5 AMO  follows Trenberth and Shea (2006) proposal to use the NA region EQ-60°N, 0°-80°W and subtract the global rise of SST 60°S-60°N to obtain a measure of the internal variability, arguing that the effect of external forcing on the North Atlantic should be similar to the effect on the other oceans.”  So the values represent sst anomaly differences between the N. Atlantic and the Global ocean.

The chart above confirms what Kaplan also showed.  As August is the hottest month for the N. Atlantic, its varibility, high and low, drives the annual results for this basin.  Note also the peaks in 2010, lows after 2014, and a rise in 2021. Now in 2023 the peak is holding at 1.4C.  An annual chart below is informative:

 

Note the difference between blue/green years, beige/brown, and purple/red years.  2010, 2021, 2022 all peaked strongly in August or September.  1998 and 2007 were mildly warm.  2016 and 2018 were matching or cooler than the global average.  2023 started out slightly warm, then in May and June spiked to match 2010. Now there is an  extraordinary peak in July, with August to October only slightly lower.

The pattern suggests the ocean may be demonstrating a stairstep pattern like that we have also seen in HadCRUT4. 

The purple line is the average anomaly 1980-1996 inclusive, value 0.18.  The orange line the average 1980-202306, value 0.38, also for the period 1997-2012. The red line is 2013-202306, value 0.64. As noted above, these rising stages are driven by the combined warming in the Tropics and NH, including both Pacific and Atlantic basins.

Curiosity:  Solar Coincidence?

The news about our current solar cycle 25 is that the solar activity is hitting peak numbers now and higher  than expected 1-2 years in the future.  As livescience put it:  Solar maximum could hit us harder and sooner than we thought. How dangerous will the sun’s chaotic peak be?  Some charts from spaceweatherlive look familar to these sea surface temperature charts.

Summary

The oceans are driving the warming this century.  SSTs took a step up with the 1998 El Nino and have stayed there with help from the North Atlantic, and more recently the Pacific northern “Blob.”  The ocean surfaces are releasing a lot of energy, warming the air, but eventually will have a cooling effect.  The decline after 1937 was rapid by comparison, so one wonders: How long can the oceans keep this up? And is the sun adding forcing to this process?

Space weather impacts the ionosphere in this animation. Credits: NASA/GSFC/CIL/Krystofer Kim

Footnote: Why Rely on HadSST4

HadSST is distinguished from other SST products because HadCRU (Hadley Climatic Research Unit) does not engage in SST interpolation, i.e. infilling estimated anomalies into grid cells lacking sufficient sampling in a given month. From reading the documentation and from queries to Met Office, this is their procedure.

HadSST4 imports data from gridcells containing ocean, excluding land cells. From past records, they have calculated daily and monthly average readings for each grid cell for the period 1961 to 1990. Those temperatures form the baseline from which anomalies are calculated.

In a given month, each gridcell with sufficient sampling is averaged for the month and then the baseline value for that cell and that month is subtracted, resulting in the monthly anomaly for that cell. All cells with monthly anomalies are averaged to produce global, hemispheric and tropical anomalies for the month, based on the cells in those locations. For example, Tropics averages include ocean grid cells lying between latitudes 20N and 20S.

Gridcells lacking sufficient sampling that month are left out of the averaging, and the uncertainty from such missing data is estimated. IMO that is more reasonable than inventing data to infill. And it seems that the Global Drifter Array displayed in the top image is providing more uniform coverage of the oceans than in the past.

uss-pearl-harbor-deploys-global-drifter-buoys-in-pacific-ocean

USS Pearl Harbor deploys Global Drifter Buoys in Pacific Ocean

 

 

Assessing Risk and Climate Science (Quora Discussion)

Excerpted below is a Quora discussion with illuminating commentary from  Aaron Brown, former asset risk manager. AB responds to Topic Question and related comments, text in italics with my bolds and added images.

Quora? What will make conservatives accept climate change as real science?

AB: There are scientists who study cloud formation, ocean currents, rainfall patterns and other aspects of climate. Some are good, some not so much. Most people, liberal or conservative, accept that much of this is science.

Then there are scientists who build climate models and make predictions about things like global average temperature from 2081 to 2100 under different assumptions about human emissions and other factors. The people doing this work are considered scientists, but the conclusions are not science in the sense of empirically verifiable facts or consensus theories with strong empirical confirmation.

It’s a semantic game whether you call the conclusions “science” or not, but either way they are not as certain as scientific laws about gravity or momentum. People who like the predictions will embrace them, people who don’t like the predictions will resist them.

Liberals tend to be open to new ideas, conservatives tend to be more skeptical. That means many liberals are more willing to take strong action based on model predictions than are most conservatives. Skeptics tend to accept models if they make useful, non-obvious predictions that turn out to be true. Unfortunately it will take at least a century to gather that kind of evidence for climate models.

One possible breakthrough would be improvements in forecasting weather. You can prove a weather model in months rather than decades or centuries. But the fundamental claim of climate science is that it’s easier to predict global decadal averages in fifty years than next month’s weather in New York’s Central Park. That kind of claim—”I can’t predict the stuff you can check but trust me on stuff you can’t check”—makes skeptics skeptical.

A more likely breakthrough would be the the people making climate predictions proving their modeling ability by making useful, non-obvious predictions in other fields that can be validated. So far we have not seen this—successful modelers in other fields moving to climate science, or climate modelers proving success in other fields. This is a major point of skepticism for skeptics.

Finally, many conservatives are skeptical due to the big money involved in climate change combined with intense government interest and possibilities for vast wealth from subsidies and other programs. This is called Big Science and it’s often been dead wrong in the past, not to mention occasionally threatening all life on Earth. There are some successes of Big Science as well but skeptics will note the temptation to skew climate science for money or to push policies the advocates wanted before any climate support showed up.

None of this is relevant for policy decisions. If we somehow knew for certain today what the global mean temperature would be from 2081 – 2100, it wouldn’t tell us whether it was a good idea to ban coal or impose a carbon tax today. Conservatives are apt to assume any legislation will be written by lobbyists paid by cronies and empire-building bureaucrats rather than any kind of scientist. The laws will have unintended consequences, and send the economy and technology down unpredictable novel paths. We can’t estimate the effect on the human environmental footprint, we have only limited ability to relate the human environmental footprint to climate, and even less to relate climate to human welfare.

In such circumstances, the conservative inclination is to wait until you’re sure you’re helping things before spending a lot of money and writing a bunch of rules. The liberal tendency is to use your best judgement today, and expand the stuff that works tomorrow, while fixing or abandoning the stuff that doesn’t. This choice has nothing to do with climate science.

Comment: A model is just a theory put into numbers.

AB: Agreed, but the problem is lack of data. You can’t check 80 year in the future predictions with 30 years of data; and the global climate is so complex you need far more data even than we have with current measurements.

The data from more than 150 years or so is local data averaged over centuries or longer, useless for predicting global shorter-term data. Prior to 1990 we have very noisy data that is broader and available daily or sometimes even more often, but only since 1990 do we have anything like reliable, consistent global data.

People do calibrate their models to be consistent with the past, sometimes with more success than others. But there are so many parameters to global climate that this is not a useful check.

Comment: The required accuracy of your data and models grows exponentially with the amount of time you are predicting. It’s practically impossible to improve weather models beyond a certain point, so it’s not fair to consider this a failing of climate science.

AB: This is the central claim of climate science, but it remains unproven. Chaotic systems are not inherently unpredictable—for example the multibody solar system—and three or more bodies under gravity are chaotic—appears to have remained stable and pretty easy to predict for billions of years.

Attempts to predict weather in the most straightforward way, breaking the atmosphere down into small parts and applying rules of physics, have not succeeded in precise or long-range predictions—but there clearly are weather patterns that repeat often enough they must have some explanation. Modern weather prediction relies mainly on observed regularities without firm theoretic explanations.

You may be right that weather prediction will always be intractable, but perhaps some out-of-the-box idea will change that. If it did, we’d probably understand a lot more about climate.

It’s not obvious that long-term averages are more stable and predictable than shorter-term ones. In the stock market, for example, prices are pretty close to a random walk and uncertainty increases pretty steadily with the square root of time interval.

If you look at actual temperature measurements over local areas or global, over time scales from days to millions of years, uncertainty seems to increase with time, but slower than the square root. The unit of most certainty seems to be a year—predicting the average temperature over the next year has less uncertainty than predicting tomorrow’s temperature, but also less uncertainty than predicting the average temperature over the next decade or century.

Trajectories of a double pendulum. The simple predictable behavior of a pendulum appears chaotic when a second pendulum is attached. How many factors interact in our climate system?

This is a pure statistical observation, ignoring all climate science. The claim of climate science is models that incorporate things like solar variation, volcanoes, human emissions and so forth can make long-range averages less uncertain than annual averages. But we’ll need a lot of examples of long-range predictions—centuries of data—to confirm that directly, without resorting to climate theory; meaning that’s unlikely to convince skeptics in this century.

Of course you’re right that there seem to be physical limits that cause climate to move in cycles rather than drifting off to entirely new regimes—but regimes do change, and on planets other than Earth perhaps to extremes like losing the atmosphere.

Long exposure of double pendulum exhibiting chaotic motion (tracked with an LED)

But conservation of energy, for example, does not necessarily impose a constraint. There are many ways for energy to be removed from or added to global temperatures. It’s not necessarily true that, say, reducing incoming solar radiation cools the planet. In a simple system, reducing heat input lowers temperature. But in a complex system you could touch off any number of positive and negative feedback effects that could lead to any outcome.

Comment: I think this group is under valuing the large amount of research that has been predicting increases in global temperatures and the effects it will cause. There is ample data on the rate of increase in green house gases [CO2 and Methane] caused by humans lately.

AB: Are you saying that the predictions will convince skeptics? I disagree for several reasons.

1. There have been many predictions, many of which were spectacularly wrong, none of which were spectacularly right. The more catastrophic the prediction, the more often it turned out to be spectacularly wrong. Now you can go back after-the-fact and say the people making the worst predictions were nuts and other people made predictions that were not spectacularly wrong, but skeptics will find this unconvincing—like someone sifting through horoscope predictions to find some that seemed to come true.

2. The more sober predictions have merely been extrapolations of the recent past, too obvious to convince skeptics. Every time anything happens lots of people claim to have predicted it, and that it will continue in the future until disaster. Skeptics think that if temperatures started falling tomorrow, the predictions would quickly shift to predicting global cooling.

3.  Yes, atmospheric CO2 levels have gone up, and those could cause temperature increases, and humans are emitting CO2, and there’s no other obvious explanation for the increases in CO2. But those are simple observations. To convince skeptics of your explanations and predictions, you have to do more. If temperature increases tracked CO2 increases—rather than CO2 going up steadily and temperature bouncing up and down with more down months than up months—but an overall increase, the connection is not obvious.

4. Videos like the one you posted that tell us what things will be like decades in the future, something we cannot check, will not convince skeptics.

I think I outlined the main things likely to convince skeptics in my answer.

Comment: Many of the inter related factors determining climate have non linear relationships so modeling is extremely challenging and in order to produce sensible sounding outputs, tuning software is used to produce an answer deemed politically correct. If funding agencies would ban the use of tuning software the model funding would soon stop because of the self evident garbage answers.

AB: I agree and would go even further. I think climate is chaotic, and cannot be usefully modeled.

Everyone agrees that weather is chaotic, so only tentative short-term predictions are useful. But the defining claim of climate science is that if you average parameters like temperature over the entire globe over 20-year periods, it becomes predictable.

But if you check that assumption by comparing the standard deviation of temperature changes over larger regions and longer periods, you see it hits a minimum at single locations over one year. You can predict the average temperature in Central Park over the next year more accurately than tomorrow’s average temperature over New York State, or 20-years’ average temperature in Central Park.

It’s possible that casual models driven entirely by physics could surmount that issue, but so far these have been entirely unsuccessful without statistical tuning—tuning that does not improve ability for future predictions. Moreover you would expect such a model to predict weather better than climate, and no models can do that—they can only claim successful predictions over periods too long for practical testing.

That doesn’t mean climate models are worthless, but they are less reliable than weather reports, not more reliable.

Comment: In the case of climate, it’s the case that a large chunk of conservatives are still conservationists, who don’t get counted as environmentalists because of the heavy left (Marxist, even) bent of the green movement over the last several decades. Why not appeal to this perspective?

AB: I think you’re focusing on the wrong issue. You don’t have to convince anyone that protecting the environment is important, you have to convince them you have a plan that will do more good than harm.

Nuclear power is a great example. It reduces CO2, but also other forms of pollution. It doesn’t require decades and trillions of dollars to build a new power-grid infrastructure, it’s plug-and-play with the existing system (almost, anyway). The technology is well-understood, safe and efficient. You won’t find opposition from conservatives, only from some liberals.

Several MEPs (mainly Greens) hold up anti-nuclear posters at the debate.

But other tactics will require more argument. A carbon tax, for example, would send technology and the economy down an entirely new path, with entirely unpredictable consequences. It would seem to increase uncertainty about future climate rather than decrease it. It has other issues as well. To gain support for one from skeptics, you’ll have to convince them that you can predict the effects of such a tax on human welfare in 2100 well enough to make it a good bet.

Geoengineering is the cheapest and surest way to reduce global temperatures, but it controversial on both left and right for its possible unintended consequences. Here you have to convince people the gain is worth the risk.

The single best no-brainer solution is to work for world peace and cooperation. War is the biggest threat to the environment and climate. Solutions to climate change and dozens of equally consequential global issues will require cooperation—or at least less conflict—among nations. Redirecting military spending to climate research and mitigation would do tremendous good. Best of all, world peace and global cooperation have many direct advantages, not just vastly improving our ability to respond rationally to issues like climate change.

UAH: Amazing Air Warming Spike October 2023

The post below updates the UAH record of air temperatures over land and ocean. Each month and year exposed again the growing disconnect between the real world and the Zero Carbon zealots.  It is as though the anti-hydrocarbon band wagon hopes to drown out the data contradicting their justification for the Great Energy Transition.  Yes, there is warming from an El Nino buildup coincidental with North Atlantic warming, but no basis to blame it on CO2.  

As an overview consider how recent rapid cooling  completely overcame the warming from the last 3 El Ninos (1998, 2010 and 2016).  The UAH record shows that the effects of the last one were gone as of April 2021, again in November 2021, and in February and June 2022  At year end 2022 and continuing into 2023 global temp anomaly matched or went lower than average since 1995, an ENSO neutral year. (UAH baseline is now 1991-2020).

For reference I added an overlay of CO2 annual concentrations as measured at Mauna Loa.  While temperatures fluctuated up and down ending flat, CO2 went up steadily by ~60 ppm, a 15% increase.

Furthermore, going back to previous warmings prior to the satellite record shows that the entire rise of 0.8C since 1947 is due to oceanic, not human activity.

gmt-warming-events

The animation is an update of a previous analysis from Dr. Murry Salby.  These graphs use Hadcrut4 and include the 2016 El Nino warming event.  The exhibit shows since 1947 GMT warmed by 0.8 C, from 13.9 to 14.7, as estimated by Hadcrut4.  This resulted from three natural warming events involving ocean cycles. The most recent rise 2013-16 lifted temperatures by 0.2C.  Previously the 1997-98 El Nino produced a plateau increase of 0.4C.  Before that, a rise from 1977-81 added 0.2C to start the warming since 1947.

Importantly, the theory of human-caused global warming asserts that increasing CO2 in the atmosphere changes the baseline and causes systemic warming in our climate.  On the contrary, all of the warming since 1947 was episodic, coming from three brief events associated with oceanic cycles. And now in 2023 we are seeing an amazing episode with a temperature spike driven by ocean air warming along with higher land air temps.

Update August 3, 2021

Chris Schoeneveld has produced a similar graph to the animation above, with a temperature series combining HadCRUT4 and UAH6. H/T WUWT

image-8

 

mc_wh_gas_web20210423124932

See Also Worst Threat: Greenhouse Gas or Quiet Sun?

October 2023 Update New Warming Spike Led by Tropics High

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With apologies to Paul Revere, this post is on the lookout for cooler weather with an eye on both the Land and the Sea.  While you will hear a lot about 2020-21 temperatures matching 2016 as the highest ever, that spin ignores how fast the cooling set in.  The UAH data analyzed below shows that warming from the last El Nino had fully dissipated with chilly temperatures in all regions. After a warming blip in 2022, land and ocean temps dropped again with 2023 starting below the mean since 1995.  Spring and Summer 2023 saw a series of warmings.  Now in October a new high resulted from a major rise in ocean air temps in all regions, along with higher land air temps in NH and Tropics. 

UAH has updated their tlt (temperatures in lower troposphere) dataset for October 2023. Posts on their reading of ocean air temps this month preceded updated records from HadSST4.  I last posted on SSTs using HadSST4 September 2023 Ocean Warming Crests, Solar Coincidence? This month also has a separate graph of land air temps because the comparisons and contrasts are interesting as we contemplate possible cooling in coming months and years. Sometimes air temps over land diverge from ocean air changes.  For example in October 2023, a new warming high was driven by ocean air temps despite SH land temps dropping back down. The Tropics and NH showed warming in both land and sea air.

In October, as shown later on, Global ocean air reached a record high peak with all regions warming, especially Tropics. Land air temps rose in NH and Tropics, with a SH dropping down.   Thus the land + ocean Global UAH temperature is now exceeding the 2016 peak.

Note:  UAH has shifted their baseline from 1981-2010 to 1991-2020 beginning with January 2021.  In the charts below, the trends and fluctuations remain the same but the anomaly values change with the baseline reference shift.

Presently sea surface temperatures (SST) are the best available indicator of heat content gained or lost from earth’s climate system.  Enthalpy is the thermodynamic term for total heat content in a system, and humidity differences in air parcels affect enthalpy.  Measuring water temperature directly avoids distorted impressions from air measurements.  In addition, ocean covers 71% of the planet surface and thus dominates surface temperature estimates.  Eventually we will likely have reliable means of recording water temperatures at depth.

Recently, Dr. Ole Humlum reported from his research that air temperatures lag 2-3 months behind changes in SST.  Thus the cooling oceans now portend cooling land air temperatures to follow.  He also observed that changes in CO2 atmospheric concentrations lag behind SST by 11-12 months.  This latter point is addressed in a previous post Who to Blame for Rising CO2?

After a change in priorities, updates are now exclusive to HadSST4.  For comparison we can also look at lower troposphere temperatures (TLT) from UAHv6 which are now posted for September.  The temperature record is derived from microwave sounding units (MSU) on board satellites like the one pictured above. Recently there was a change in UAH processing of satellite drift corrections, including dropping one platform which can no longer be corrected. The graphs below are taken from the revised and current dataset.

The UAH dataset includes temperature results for air above the oceans, and thus should be most comparable to the SSTs. There is the additional feature that ocean air temps avoid Urban Heat Islands (UHI).  The graph below shows monthly anomalies for ocean air temps since January 2015.

Note 2020 was warmed mainly by a spike in February in all regions, and secondarily by an October spike in NH alone. In 2021, SH and the Tropics both pulled the Global anomaly down to a new low in April. Then SH and Tropics upward spikes, along with NH warming brought Global temps to a peak in October.  That warmth was gone as November 2021 ocean temps plummeted everywhere. After an upward bump 01/2022 temps reversed and plunged downward in June.  After an upward spike in July, ocean air everywhere cooled in August and also in September.   

After sharp cooling everywhere in January 2023, all regions were into negative territory. Note the Tropics matched the lowest value, but since have spiked sharply upward +1.26C, with the largest increases in April to July 2023.  NH also warmed 0.7C in the last 4 months, while SH ocean air rose the same. Global Ocean air October 2023 is now exceeding 2016, the main difference being the much higher rise in SH anomalies since April.  The strength of the El Nino will determine the latter part of this year.

Land Air Temperatures Tracking Downward in Seesaw Pattern

We sometimes overlook that in climate temperature records, while the oceans are measured directly with SSTs, land temps are measured only indirectly.  The land temperature records at surface stations sample air temps at 2 meters above ground.  UAH gives tlt anomalies for air over land separately from ocean air temps.  The graph updated for September is below.

Here we have fresh evidence of the greater volatility of the Land temperatures, along with extraordinary departures by SH land.  Land temps are dominated by NH with a 2021 spike in January,  then dropping before rising in the summer to peak in October 2021. As with the ocean air temps, all that was erased in November with a sharp cooling everywhere.  After a summer 2022 NH spike, land temps dropped everywhere, and in January, further cooling in SH and Tropics offset by an uptick in NH. 

Remarkably, in 2023, SH land air anomaly shot up 1.5C, from  -0.56C in January to +0.93 in July, then dropped to 0.53 in August. In September SH shot up again to 1.5C.  Tropical land temps are up 1.48 since January and NH Land air temps rose 0.9, mostly since May. Despite SH land air dropping in October, the consolidated rise greatly exceeds the upward spikes peaking in  2016.

The Bigger Picture UAH Global Since 1980

The chart shows monthly Global anomalies starting 01/1980 to present.  The average monthly anomaly is -0.06, for this period of more than four decades.  The graph shows the 1998 El Nino after which the mean resumed, and again after the smaller 2010 event. The 2016 El Nino matched 1998 peak and in addition NH after effects lasted longer, followed by the NH warming 2019-20.   An upward bump in 2021 was reversed with temps having returned close to the mean as of 2/2022.  March and April brought warmer Global temps, later reversed.

With the sharp drops in Nov., Dec. and January 2023 temps, there was no increase over 1980. Now in 2023 the buildup to the October peak exceeds the sharp April peak of the El Nino 1998 event. It also surpasses the February peak in 2016.  Where it goes from here, up or down, remains to be seen.

The graph reminds of another chart showing the abrupt ejection of humid air from Hunga Tonga eruption.

TLTs include mixing above the oceans and probably some influence from nearby more volatile land temps.  Clearly NH and Global land temps have been dropping in a seesaw pattern, nearly 1C lower than the 2016 peak.  Since the ocean has 1000 times the heat capacity as the atmosphere, that cooling is a significant driving force.  TLT measures started the recent cooling later than SSTs from HadSST3, but are now showing the same pattern. Despite the three El Ninos, their warming has not persisted prior to 2023, and without them it would probably have cooled since 1995.  Of course, the future has not yet been written.

 

Why IPCC “Scientists” Won’t Look at the Sun

The science about climate change is settled, right? We’re reassured by the media again and again that there is almost complete unanimity when it comes to the question of whether changes in the climate are caused by humans. And we’re also told there’s so much consensus that anyone who says otherwise isn’t a real scientist, but a “climate change skeptic” just trying to muddy the pristine waters of settled science. In this episode of America Uncovered, we look at the sun’s role in global warming, why so many human-caused-climate-change proponents don’t want to look at this data, and how they’re trying to discredit climate scientists who are looking at factors that question the human-caused climate-change narrative.

Transcript 

For those who prefer to read, the Transcript is below in italics with my bolds and added images.

The UN and prominent scientific organizations say the science is settled. No one can dispute that climate change is mainly caused by humans. Those who question it are insulted and shunned. Which is exactly the way the scientific method is supposed to work.

Welcome to America Uncovered. I’m Chris Chappell. Everywhere you look these days, it seems there’s someone pushing “the narrative.” America is irredeemably racist . Christopher Columbus was evil. Pineapple on pizza is gross . Wrong! Its sweet tanginess is a great counterbalance to the salt and acidity of the sauce. Refine your palates, you swine.

Journalists push narratives all the time, but so do scientists. Now, there’s this naive notion that scientists are above pushing narratives, because all they do is look at provable facts. But that couldn’t be further from the truth, especially for complex topics where the facts aren’t always so clear cut.

Look no further than the climate change debate. The most influential scientific organizations make it sound like it is a fact supported almost unanimously by the scientific community that climate change is mostly man-made. Which should immediately make you start questioning things, since no community unanimously believes anything. If they did, then 10 out of 10 dentists would recommend Crest toothpaste .

Just look at how the UN presents the topic. According to the UN’s Intergovernmental Panel on Climate Change (IPCC) 2023 report, “Human activities are responsible for global warming” by increasing greenhouse gasses. “It is unequivocal that human influence has warmed the atmosphere, ocean and land.” In other words, don’t question it! You *have* to accept that humans are the driving factor for climate change. There’s not supposed to be debate in science. That’s why we still believe the Earth is the center of the universe and everything revolves around it. That science was settled centuries ago!

This type of messaging has had a profound impact on public policy all over the world. Billions of dollars have gone into addressing climate change and studying its effects. The narrative about man-made climate change is so loud and pervasive that CNN can ask, “why are we still debating climate change?” and reasonably expect readers to say, “yeah!”

In reality, though, it’s a lot more complicated than that. I’ve debunked the “97% of scientists agree on man-made climate change” narrative in a previous episode. The reality is, there’s no consensus on how large of a role human activity plays in climate change or even how climate is changing.

How they invented the “97% of scientists agree” meme.

Now, I’ve said this before, and I’ll say it again—I’m not a conspiracy theorist, and I’m not taking sides on the climate change debate either. I’m not necessarily dismissing the idea that mankind is driving climate change, but I’m not going to say that everything’s settled, because it’s not.

Uh oh, I just said something nuanced. You know what that means: Goodbye, YouTube ad revenue.  And that is exactly the problem! It’s not very popular to question the climate change narrative, especially when billions of dollars are on the line. But there are some scientists who question the narrative anyway. One of the most prominent voices is Wei-Hock—or Willie—Soon , a Malaysian Astrophysicist and aerospace engineer who used to work at the Harvard–Smithsonian Center for Astrophysics.

Soon is known for promoting the hypothesis that the sun may have more to do with current climate change than human activity. He’s not necessarily saying that there’s no such thing as man-made climate change, but he is very vocal about how the UN reportedly suppresses the sun’s role in climate change. I should have known the sun was diabolical. After all, it kills me every time I play Super Mario 3.

Over the years, Soon’s research has been attacked by other scientists and the mainstream media. Carbon Brief released an explainer pushing back against the idea that the sun is responsible for recent climate change. Slate said that “[Soon’s] science has been refuted.” Because “The science is in, it’s extremely clear, and the consensus among climate scientists is solid.” 10 out of 10 scientists agree!

The Union of Concerned Scientists, the Imperial College London, the World Meteorological Organization, and a whole bunch more organizations all say the same thing. NASA is especially adamant about shutting down the sun theory. In its explainer, NASA says, “The Sun can influence Earth’s climate, but it isn’t responsible for the warming trend we’ve seen over recent decades.”

Okay, but what about when it chases you through the desert levels? Explain that, science! NASA and other scientific organizations argue that there isn’t any increase in solar energy reaching the planet. “So, there is a line, and the scientific community is well in agreement. According to NASA, scientists agree that the solar cycle is not driving the changes in Earth’s climate that we’re currently seeing. If we saw solar radiation increasing for a long period of time, we could see those effects on our climate, but the changes between solar cycles are pretty small and not able to drive the drastic changes we’ve seen over the last few decades.”

Plus, if there were so many solar rays, then how come we don’t have a real life Fantastic Four, hm?Science. Settled. Keep an eye on NASA. There’s a reason why NASA in particular is vocal in debunking the sun theory, which I’ll get into later in this episode.

Now, that’s how science works. One scientist puts out research, and other scientists challenge the results. But apparently, refuting Soon’s science wasn’t enough. The scientific community and the mainstream media went after Soon personally, and not always in the most honest of ways.

Scientists and the mainstream media have attacked Soon’s research on the sun’s role in climate change, but they’ve also attacked Soon, and it can be a bit disingenuous.  For example, since 2011, the environmentalist nonprofit Greenpeace has pushed the idea that Soon’s research was funded by the fossil-fuel industry and suggested that Soon improperly concealed his funding sources in one of his publications.

But that’s misleading. According to The Heartland Institute, “As a working scientist… Soon had no authority to sign a research contract to receive a grant, let alone to decide and dictate the terms of such contracts.” Who did have the authority? Soon’s employer. “Dr. Soon and other working scientists like him are paid by the Smithsonian, not by the external funder, to carry out those duties.  Simply put, Dr. Soon is employed by the Smithsonian to conduct research paid for by external grants  obtained by the Smithsonian.” So, if true, it would have been the Smithsonian that accepted money from the fossil-fuel industry.

Meanwhile, The Union of Concerned Scientists suggests that Soon’s work was part of a broader pattern of deception by fossil fuel companies. And as for the mainstream media? Well, they have disdainfully called Soon a climate skeptic. The problem is, Soon isn’t the only scientist asking questions. In 2021, Soon, along with almost 2 dozen other scientists from all over the world, published a study on the Institute of Physics Publishing asking, “How much has the Sun influenced Northern Hemisphere temperature trends?” They called it “an ongoing debate.”

It’s a pretty dense read. But to summarize, the study points to solar radiation on the Earth’s atmosphere as the driver of global warming and cites dozens of other studies that point to the sun—not human activity—as the primary driver of climate change. The study also argues that the way the UN’s Intergovernmental Panel on Climate Change concluded that climate change was man-made was flawed. It ignored data, such as NASA’s sun-monitoring satellite data, which the authors argued would’ve countered the man-made climate change narrative.

According to the lead study author, Ronan Connolly , “Depending on which published data and studies you use, you can show that all of the warming is caused by the sun, but the IPCC uses a different data set to come up with the opposite conclusion.” Climate is seriously complex, and there’s a lot of data to consider, so this could just be a mistake, but Connolly doesn’t seem to think so. “In their insistence on forcing a so-called scientific consensus, the IPCC seems to have decided to consider only those data sets and studies that support their chosen narrative.”

This didn’t sit well with most climate change scientists. One 2022 study tried to debunk the sun theory as “erroneous”. Those authors pretty much argued it was a waste of time that could be better used on areas of “legitimate scientific uncertainty”. However, Soon and various other scientists came out with three new studies earlier this year that say otherwise.

This one looked at datasets that the UN didn’t look into to conclude that the UN underestimated the sun’s role in global warming. This included data from NASA’s satellites. Which is a pretty big flex, using data from an organization that doesn’t agree with you to prove your point. Their study also argues that the UN underestimated how weather stations are impacted by urbanization, which generates heat from human activity.

It’s similar to the conclusions made by this study, which specifically addressed the 2022 study that criticized the sun theory. This other study specifically compared Japan and the US to show the impact that urbanization has on weather station data collection. So they’re essentially saying that the way they collect data was flawed, and so were their conclusions.

Now, the studies aren’t completely dismissing the idea that climate change is man-made. They’re simply saying that there isn’t enough data to determine whether global warming is mostly man-made, mostly natural, or a combination of both. Which is why Willie Soon is one of thousands of scientists who have signed the World Climate Declaration, which says that there is no climate emergency…and that “natural as well as anthropogenic factors cause warming.”

One of the scientists involved in the research said the analysis “opens the door to a proper scientific investigation into the causes of climate change.” But it turns out certain scientists are absolutely livid about these studies. They want to slam that door shut , barricade it, and put up a “get off my lawn” sign.”

Some scientists are angry about the multiple studies done by Soon and his colleagues regarding the sun’s role in climate change, and they’re making their displeasure known. But the way these scientists speak to other scientists makes them sound like fourth-grade bullies rather than professional researchers.

For example, Atmospheric science professor Michael Mann of Pennsylvania State University —The guy famous for what’s called the hockey stick graph—Referred to the authors of one of the studies as “a group of climate denier [clowns]”. Which is ridiculous, because clowns aren’t climate deniers. They’re better than anyone at reducing emissions by carpooling with 30 of them in a single vehicle .

Mann also apparently sees anyone whom he classifies as a climate denier of being “truly awful human beings”. I don’t remember the part of the scientific method where you call names on anyone who questions you. Oh wait, there it is. Many climate scientists are quick to dismiss studies that don’t align with the climate change narrative.

For example, Gareth Jones of the UK’s Meteorologist Office called a review that disagreed with him “nonsense.” Jones also seems to enjoy smearing people like the editor of the journal Climate, saying that he “has a bit of a reputation, so much so that other climate contrarians distance themselves from him”.

Then there’s Gavin Schmidt, the director of the NASA Goddard Institute for Space Studies. He mocked one of the authors, calling his work “BS” . Schmidt also said, “The only point of this paper (which every climate denier and their dog has jumped onto), is to launder dirty ‘science’ into a clean made-for-Fox meme.”

Dirty science? Is that like Weird Science if it was rated R instead of PG-13? Schmidt is even using a Freedom of Information Act request to demand one of the editor’s emails with relevant scientists. This seems a lot like intimidation to try to coerce uniformity in the scientific community, rather than allowing for disagreement to try to get to the facts.

Climatologist Judith Curry at Georgia Institute of Technology told The Epoch Times that “The response by Schmidt, Mann, and others, particularly with regard to the FOIA request regarding editorial discussions on this paper, reflects their ongoing attempts to control the scientific as well as public dialogue on climate change”.

If you ask me, this also reflects just how arrogant
people in the scientific community have become.

For example, the UN’s under-secretary-general for global communications last year had the audacity to say that the UN “owns” the science. She even admitted that the UN was working with Google to manipulate search results! “We partnered with Google for example. If you Google climate change, at the top of your search, you will get all kinds of UN resources. We started this partnership when we were shocked to see that when we googled climate change we were getting incredibly distorted information right at the top. So we’re becoming much more proactive, you know. We own the science, and we think that the world, you know, should know it.”

“Own the science”? How arrogant do you have to be to believe that you “own” science? What, are they gonna have a garage sale and try to get people to buy the theory of gravity from them, since they “own” it? It’s this kind of “ownership” that allows for organizations like the UN to pre-emptively silence dissent with very little regard for both free speech or even science itself.

You’d be very, very mistaken if you believe that scientists are above politics and bias or that they should not be questioned. Let’s not forget that politicians and scientists said that there was zero evidence Covid came from a lab leaks…and that lockdowns were the best way to deal with the pandemic, despite warnings to the contrary.

The people pushing those narratives thought that they couldn’t possibly be wrong, but in hindsight, they look pretty foolish. Trying to coerce people to a consensus of what you think is the science, isn’t real science. Real science would acknowledge that scientists don’t always have all the data and examine different approaches with professionalism.

Of course there are going to be people who believe in disinformation. But what’s to stop organizations as powerful as the UN from spreading their own disinformation? If we have scientists who are trying to spin facts that favor corporate interests in fossi fuels, tobacco, and fast food, then don’t you think the same could happen for the interests of climate change activists?

People will spread disinformation about anything. Even things that are obviously false, like Pineapple on pizza being anything less than amazing. Like climate change scientists, YouTube loves restricting debate and discussions about things it finds too controversial, such as climate change.

See Also

 

New Wholistic Paradigm of Climate Change

More 2019 Evidence of Nature’s Sunscreen

What You’re Told About Greenhouse Gases is Wrong

Mark Adams explains the deceptions in his American Thinker article The fables about greenhouse gases, especially about methane  Excerpts in italics with my bolds and added images.

“Climate change” is in the news daily, with each featured story getting an attention-grabbing sensationalist headline. The frenzy is at its peak now because it’s the time of year for tropical storms and wildfires.

However, to appreciate that these stories are pure narratives,
it’s a good time to consider the facts behind
the so-called “greenhouse gases.”

Several atmospheric gases, including carbon dioxide, methane, and water vapor, absorb light in the infrared region. These are collectively known as the “greenhouse gases” because absorbing infrared energy warms up the air—hence the name greenhouse effect.

Carbon dioxide, on a per-molecule basis, is six times as effective an absorber as water is. However, that’s offset by the fact that carbon dioxide is only about 0.04% of the atmosphere (400 parts per million). This means that, overall, it’s much less important than water vapor in terms of its ability to warm the atmosphere.

And then there’s methane. Pound-for-pound methane can trap 25 times more heat than carbon dioxide. However, there are two reasons why scientists say it will never significantly contribute to global warming. Primarily, it is by far the rarest of the green house gases. [Note that weight is the wrong metric for radiation properties of gases, volume is what matters.  The 25 times CO2 is exaggerated because CH4 molecular weight is only 16 compared to 44 for CO2.]

But there is another reason why we will probably never have to worry about methane being a major contributor to global warming: Methane’s narrow absorption bands, at 3.3 microns and 7.5 microns , perfectly match…water’s! Did you catch that? It’s worth emphasizing: “The ratio of the percentages of water to methane is such that the effects of methane are completely masked by water.”

Nor is methane a cow problem that humans can remediate by going meatless. Instead, wetlands and termites are the real methane producers: “When it comes to methane, another greenhouse gas, termites are responsible for 11 percent of the world’s production from natural sources. Seventy-six percent comes from wetlands…”

Image: Termites in a wetland by AI.

Many studies have attributed a methane spike to soaring emissions from tropical wetlands, predominantly in Africa. “A ‘significant change’ in tropical weather ascribed to human-caused climate change has led wetlands to get bigger and more plants to grow there, thus leading to more decomposition — a process that produces methane.”

You noted, of course, how the quoted language blames methane on human-caused climate change. Yet this same “human-caused” climate change is also blamed for transforming lush Hawaii into an arid ticking time bomb that, in the summer of 2023, erupted into a devastating inferno. Moreover, it seems like it wasn’t that long ago when environmentalists were ardent supporters of wetlands.

Meanwhile, ignoring the predominance of naturally occurring methane, a band of climate fanatics wants to eliminate traditional farming and ranching because they are sources of methane, primarily from ruminant livestock and paddy rice. Rice growing produces methane gas by feeding microbes that live under the rice paddies. Cattle produce methane during their digestive process.

In Ireland, farmers may be forced to kill some of their livestock to meet government requirements:

Greenhouse gas emissions in Ireland’s agriculture industry must be reduced by 25 per cent by 2030. This is part of the country’s latest Climate Action Plan, which pledges to halve overall carbon emissions by 2030 and reach net zero by 2050.

Current initiatives to cut methane gas emissions from domestic livestock like cows and pigs by culling them, a potentially famine-inducing policy, fail to take into account the sheer volume of feral animals. For example, in Australia, “there is 10 times the number of feral pigs … than domestic.”

By some estimates, Australia contains “ 400,000 wild horses,
five million donkeys, 150,000 water buffalo, one million camels,
and 24 million feral pigs—in comparison,
the United States contains just six million feral pigs.”

To put things in perspective, let’s go back to the lowly termites. Consider that, in 1992, “it was estimated that the digestive tracts of termites produce about 50 billion tons of CO2 and methane annually. That was more than the world’s production from burning fossil fuel.”

In 1982, the journal Science published an article titled “Termites: A Potentially Large Source of Atmospheric Methane, Carbon Dioxide, and Molecular Hydrogen.” Here is the key sentence: “The estimate gross amount of carbon dioxide produced is more than twice the net global input from fossil fuel production.”

That same year, the New York Times ran an article titled: “Termite gas exceeds smokestack pollution.”

None of this information stops the Biden administration. In November 2021, it “proposed regulations on methane emissions by the U.S. oil and gas industry, at a direct cost of more than $1 billion annually, to deal with a nonexistent problem.”

Wouldn’t it be nice if a little science got through to
the policy-makers behind so-called “climate science”?

See Also:

Confirmed: Temperature Drives CO2, not the Reverse

 

Briefing for COP28 Dubai 2023

Presently the next climate Conference of Parties is scheduled for Dubai with United Arab Emirates as hosts this November 30 to December 12.  According to the UAE government, COP28 in Dubai will welcome “over 140 heads of state, senior government leaders, over 70,000 participants and more than 5,000 media professionals.” One can imagine the carbon footprint of the international travel of the delegates involved.

Some Statements Suggest the COP28 Challenges

What the alarmists want summarized by Flynn:

A good outcome at Cop28, which will take place at Expo City Dubai from November 30 to December 12, would have three components: the first would “reinforce the 1.5ºC goal”, the second would enhance adaptation and support vulnerable countries, and the third would focus on finance “We have to see not just the $100 billion,” she said, referring to the missed target pledged by developing countries for climate finance.

Why a COP Briefing?

Actually, climate hysteria is like a seasonal sickness.  Each year a contagion of anxiety and fear is created by disinformation going viral in both legacy and social media in the run up to the annual autumnal COP.  Since the climatists have put themselves at the controls of the formidable US federal government, we can expect the public will be hugely hosed with alarms over the next few months.  Before the distress signals go full tilt, individuals need to inoculate themselves against the false claims, in order to build some herd immunity against the nonsense the media will promulgate. This post is offered as a means to that end.

Media Climate Hype is a Cover Up

Back in 2015 in the run up to Paris COP, French mathematicians published a thorough critique of the raison d’etre of the whole crusade. They said:

Fighting Global Warming is Absurd, Costly and Pointless.

  • Absurd because of no reliable evidence that anything unusual is happening in our climate.
  • Costly because trillions of dollars are wasted on immature, inefficient technologies that serve only to make cheap, reliable energy expensive and intermittent.
  • Pointless because we do not control the weather anyway.

The prestigious Société de Calcul Mathématique (Society for Mathematical Calculation) issued a detailed 195-page White Paper presenting a blistering point-by-point critique of the key dogmas of global warming. The synopsis with links to the entire document is at COP Briefing for Realists

Even without attending to their documentation, you can tell they are right because all the media climate hype is concentrated against those three points.

Finding: Nothing unusual is happening with our weather and climate.
Hype: Every metric or weather event is “unprecedented,” or “worse than we thought.”

Finding: Proposed solutions will cost many trillions of dollars for little effect or benefit.
Hype: Zero carbon will lead the world to do the right thing.  Anyway, the planet must be saved at any cost.

Finding: Nature operates without caring what humans do or think.
Hype: Any destructive natural event is blamed on humans burning fossil fuels.

How the Media Throws Up Flak to Defend False Suppositions

The Absurd Media:  Climate is Dangerous Today, Yesterday It was Ideal.

Billions of dollars have been spent researching any and all negative effects from a warming world: Everything from Acne to Zika virus.  A recent Climate Report repeats the usual litany of calamities to be feared and avoided by submitting to IPCC demands. The evidence does not support these claims. An example:

 It is scientifically established that human activities produce GHG emissions, which accumulate in the atmosphere and the oceans, resulting in warming of Earth’s surface and the oceans, acidification of the oceans, increased variability of climate, with a higher incidence of extreme weather events, and other changes in the climate.

Moreover, leading experts believe that there is already more than enough excess heat in the climate system to do severe damage and that 2C of warming would have very significant adverse effects, including resulting in multi-meter sea level rise.

Experts have observed an increased incidence of climate-related extreme weather events, including increased frequency and intensity of extreme heat and heavy precipitation events and more severe droughts and associated heatwaves. Experts have also observed an increased incidence of large forest fires; and reduced snowpack affecting water resources in the western U.S. The most recent National Climate Assessment projects these climate impacts will continue to worsen in the future as global temperatures increase.

Alarming Weather and Wildfires

But: Weather is not more extreme.

 


And Wildfires were worse in the past.
But: Sea Level Rise is not accelerating.

post-glacial_sea_level

Litany of Changes

Seven of the ten hottest years on record have occurred within the last decade; wildfires are at an all-time high, while Arctic Sea ice is rapidly diminishing.

We are seeing one-in-a-thousand-year floods with astonishing frequency.

When it rains really hard, it’s harder than ever.

We’re seeing glaciers melting, sea level rising.

The length and the intensity of heatwaves has gone up dramatically.

Plants and trees are flowering earlier in the year. Birds are moving polewards.

We’re seeing more intense storms.

But: Arctic Ice has not declined since 2007.

But: All of these are within the range of past variability.In fact our climate is remarkably stable, compared to the range of daily temperatures during a year where I live.

And many aspects follow quasi-60 year cycles.

The Impractical Media:  Money is No Object in Saving the Planet.

Here it is blithely assumed that the UN can rule the seas to stop rising, heat waves to cease, and Arctic ice to grow (though why we would want that is debatable).  All this will be achieved by leaving fossil fuels in the ground and powering civilization with windmills and solar panels.  While admitting that our way of life depends on fossil fuels, they ignore the inadequacy of renewable energy sources at their present immaturity.

An Example:
The choice between incurring manageable costs now and the incalculable, perhaps even irreparable, burden Youth Plaintiffs and Affected Children will face if Defendants fail to rapidly transition to a non-fossil fuel economy is clear. While the full costs of the climate damages that would result from maintaining a fossil fuel-based economy may be incalculable, there is already ample evidence concerning the lower bound of such costs, and with these minimum estimates, it is already clear that the cost of transitioning to a low/no carbon economy are far less than the benefits of such a transition. No rational calculus could come to an alternative conclusion. Defendants must act with all deliberate speed and immediately cease the subsidization of fossil fuels and any new fossil fuel projects, and implement policies to rapidly transition the U.S. economy away from fossil fuels.

But CO2 relation to Temperature is Inconsistent.

But: The planet is greener because of rising CO2.

But: Modern nations (G20) depend on fossil fuels for nearly 90% of their energy.

But: Renewables are not ready for prime time.

People need to know that adding renewables to an electrical grid presents both technical and economic challenges.  Experience shows that adding intermittent power more than 10% of the baseload makes precarious the reliability of the supply.  South Australia is demonstrating this with a series of blackouts when the grid cannot be balanced.  Germany got to a higher % by dumping its excess renewable generation onto neighboring countries until the EU finally woke up and stopped them. Texas got up to 29% by dumping onto neighboring states, and some like Georgia are having problems.

But more dangerous is the way renewables destroy the economics of electrical power.  Seasoned energy analyst Gail Tverberg writes:

In fact, I have come to the rather astounding conclusion that even if wind turbines and solar PV could be built at zero cost, it would not make sense to continue to add them to the electric grid in the absence of very much better and cheaper electricity storage than we have today. There are too many costs outside building the devices themselves. It is these secondary costs that are problematic. Also, the presence of intermittent electricity disrupts competitive prices, leading to electricity prices that are far too low for other electricity providers, including those providing electricity using nuclear or natural gas. The tiny contribution of wind and solar to grid electricity cannot make up for the loss of more traditional electricity sources due to low prices.

These issues are discussed in more detail in the post Climateers Tilting at Windmills

The Irrational Media:  Whatever Happens in Nature is Our Fault.

An Example:

Other potential examples include agricultural losses. Whether or not insurance
reimburses farmers for their crops, there can be food shortages that lead to higher food
prices (that will be borne by consumers, that is, Youth Plaintiffs and Affected Children).
There is a further risk that as our climate and land use pattern changes, disease vectors
may also move (e.g., diseases formerly only in tropical climates move northward).36 This
could lead to material increases in public health costs

But: Actual climate zones are local and regional in scope, and they show little boundary change.

But: Ice cores show that it was warmer in the past, not due to humans.

The hype is produced by computer programs designed to frighten and distract children and the uninformed.  For example, there was mention above of “multi-meter” sea level rise.  It is all done with computer models.  For example, below is San Francisco.  More at USCS Warnings of Coastal Floodings

In addition, there is no mention that GCMs projections are running about twice as hot as observations.

Omitted is the fact GCMs correctly replicate tropospheric temperature observations only when CO2 warming is turned off.

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.

In the effort to proclaim scientific certainty, neither the media nor IPCC discuss the lack of warming since the 1998 El Nino, despite two additional El Ninos in 2010 and 2016.

Further they exclude comparisons between fossil fuel consumption and temperature changes. The legal methodology for discerning causation regarding work environments or medicine side effects insists that the correlation be strong and consistent over time, and there be no confounding additional factors. As long as there is another equally or more likely explanation for a set of facts, the claimed causation is unproven. Such is the null hypothesis in legal terms: Things happen for many reasons unless you can prove one reason is dominant.

Finally, advocates and IPCC are picking on the wrong molecule. The climate is controlled not by CO2 but by H20. Oceans make climate through the massive movement of energy involved in water’s phase changes from solid to liquid to gas and back again. From those heat transfers come all that we call weather and climate: Clouds, Snow, Rain, Winds, and Storms.

Esteemed climate scientist Richard Lindzen ended a very fine recent presentation with this description of the climate system:

I haven’t spent much time on the details of the science, but there is one thing that should spark skepticism in any intelligent reader. The system we are looking at consists in two turbulent fluids interacting with each other. They are on a rotating planet that is differentially heated by the sun. A vital constituent of the atmospheric component is water in the liquid, solid and vapor phases, and the changes in phase have vast energetic ramifications. The energy budget of this system involves the absorption and reemission of about 200 watts per square meter. Doubling CO2 involves a 2% perturbation to this budget. So do minor changes in clouds and other features, and such changes are common. In this complex multifactor system, what is the likelihood of the climate (which, itself, consists in many variables and not just globally averaged temperature anomaly) is controlled by this 2% perturbation in a single variable? Believing this is pretty close to believing in magic. Instead, you are told that it is believing in ‘science.’ Such a claim should be a tip-off that something is amiss. After all, science is a mode of inquiry rather than a belief structure.

Summary:  From this we learn three things:

Climate warms and cools without any help from humans.

Warming is good and cooling is bad.

The hypothetical warming from CO2 would be a good thing.

 

September 2023 Ocean Warming Crests, Solar Coincidence?

The best context for understanding decadal temperature changes comes from the world’s sea surface temperatures (SST), for several reasons:

  • The ocean covers 71% of the globe and drives average temperatures;
  • SSTs have a constant water content, (unlike air temperatures), so give a better reading of heat content variations;
  • Major El Ninos have been the dominant climate feature in recent years.

HadSST is generally regarded as the best of the global SST data sets, and so the temperature story here comes from that source. Previously I used HadSST3 for these reports, but Hadley Centre has made HadSST4 the priority, and v.3 will no longer be updated.  HadSST4 is the same as v.3, except that the older data from ship water intake was re-estimated to be generally lower temperatures than shown in v.3.  The effect is that v.4 has lower average anomalies for the baseline period 1961-1990, thereby showing higher current anomalies than v.3. This analysis concerns more recent time periods and depends on very similar differentials as those from v.3 despite higher absolute anomaly values in v.4.  More on what distinguishes HadSST3 and 4 from other SST products at the end. The user guide for HadSST4 is here.

The Current Context

The chart below shows SST monthly anomalies as reported in HadSST4 starting in 2015 through August 2023.  A global cooling pattern is seen clearly in the Tropics since its peak in 2016, joined by NH and SH cycling downward since 2016. 

Note that in 2015-2016 the Tropics and SH peaked in between two summer NH spikes.  That pattern repeated in 2019-2020 with a lesser Tropics peak and SH bump, but with higher NH spikes. By end of 2020, cooler SSTs in all regions took the Global anomaly well below the mean for this period.  In 2021 the summer NH summer spike was joined by warming in the Tropics but offset by a drop in SH SSTs, which raised the Global anomaly slightly over the mean.

Then in 2022, another strong NH summer spike peaked in August, but this time both the Tropic and SH were countervailing, resulting in only slight Global warming, later receding to the mean.   Oct./Nov. temps dropped  in NH and the Tropics took the Global anomaly below the average for this period. After an uptick in December, temps in January 2023 dropped everywhere, strongest in NH, with the Global anomaly further below the mean since 2015.

Now comes El Nino as shown by the upward spike in the Tropics since January, the anomaly nearly tripling from 0.38C to 1.06C.  In August 2023, all regions rose, especially NH up from 0.70C to 1.37C, pulling up the global anomaly to a new high for this period. September shows a new peak for NH at 1.41, but both SH and the Tropics cooled enough to bring the Global anomaly back down.

Comment:

The climatists have seized on this unusual warming as proof of their Zero Carbon agenda, without addressing how impossible it would be for CO2 warming the air to raise ocean temperatures.  It is the ocean that warms the air, not the other way around.  Recently Steven Koonin had this to say about the phonomenon confirmed in the graph above:

El Nino is a phenomenon in the climate system that happens once every four or five years.  Heat builds up in the equatorial Pacific to the west of Indonesia and so on.  Then when enough of it builds up it surges across the Pacific and changes the currents and the winds.  As it surges toward South America it was discovered and named in the 19th century  It is well understood at this point that the phenomenon has nothing to do with CO2.

Now people talk about changes in that phenomena as a result of CO2 but it’s there in the climate system already and when it happens it influences weather all over the world.   We feel it when it gets rainier in Southern California for example.  So for the last 3 years we have been in the opposite of an El Nino, a La Nina, part of the reason people think the West Coast has been in drought.

It has now shifted in the last months to an El Nino condition that warms the globe and is thought to contribute to this Spike we have seen. But there are other contributions as well.  One of the most surprising ones is that back in January of 2022 an enormous underwater volcano went off in Tonga and it put up a lot of water vapor into the upper atmosphere. It increased the upper atmosphere of water vapor by about 10 percent, and that’s a warming effect, and it may be that is contributing to why the spike is so high.

A longer view of SSTs

To enlarge, open image in new tab.

The graph above is noisy, but the density is needed to see the seasonal patterns in the oceanic fluctuations.  Previous posts focused on the rise and fall of the last El Nino starting in 2015.  This post adds a longer view, encompassing the significant 1998 El Nino and since.  The color schemes are retained for Global, Tropics, NH and SH anomalies.  Despite the longer time frame, I have kept the monthly data (rather than yearly averages) because of interesting shifts between January and July.1995 is a reasonable (ENSO neutral) starting point prior to the first El Nino. 

The sharp Tropical rise peaking in 1998 is dominant in the record, starting Jan. ’97 to pull up SSTs uniformly before returning to the same level Jan. ’99. There were strong cool periods before and after the 1998 El Nino event. Then SSTs in all regions returned to the mean in 2001-2. 

SSTS fluctuate around the mean until 2007, when another, smaller ENSO event occurs. There is cooling 2007-8,  a lower peak warming in 2009-10, following by cooling in 2011-12.  Again SSTs are average 2013-14.

Now a different pattern appears.  The Tropics cooled sharply to Jan 11, then rise steadily for 4 years to Jan 15, at which point the most recent major El Nino takes off.  But this time in contrast to ’97-’99, the Northern Hemisphere produces peaks every summer pulling up the Global average.  In fact, these NH peaks appear every July starting in 2003, growing stronger to produce 3 massive highs in 2014, 15 and 16.  NH July 2017 was only slightly lower, and a fifth NH peak still lower in Sept. 2018.

The highest summer NH peaks came in 2019 and 2020, only this time the Tropics and SH were offsetting rather adding to the warming. (Note: these are high anomalies on top of the highest absolute temps in the NH.)  Since 2014 SH has played a moderating role, offsetting the NH warming pulses. After September 2020 temps dropped off down until February 2021.  In 2021-22 there were again summer NH spikes, but in 2022 moderated first by cooling Tropics and SH SSTs, then in October to January 2023 by deeper cooling in NH and Tropics.  

Now in 2023 the Tropics flipped from below to well above average, while NH has produced a summer peak with August higher than any previous year. In fact, the summer warming peaks in NH have occurred in August or September, so this number is likely the crest.

What to make of all this? The patterns suggest that in addition to El Ninos in the Pacific driving the Tropic SSTs, something else is going on in the NH.  The obvious culprit is the North Atlantic, since I have seen this sort of pulsing before.  After reading some papers by David Dilley, I confirmed his observation of Atlantic pulses into the Arctic every 8 to 10 years.

Contemporary AMO Observations

Through January 2023 I depended on the Kaplan AMO Index (not smoothed, not detrended) for N. Atlantic observations. But it is no longer being updated, and NOAA says they don’t know its future.  So I find that ERSSTv5 AMO dataset has data through August.  It differs from Kaplan, which reported average absolute temps measured in N. Atlantic.  “ERSST5 AMO  follows Trenberth and Shea (2006) proposal to use the NA region EQ-60°N, 0°-80°W and subtract the global rise of SST 60°S-60°N to obtain a measure of the internal variability, arguing that the effect of external forcing on the North Atlantic should be similar to the effect on the other oceans.”  So the values represent sst anomaly differences between the N. Atlantic and the Global ocean.

The chart above confirms what Kaplan also showed.  As August is the hottest month for the N. Atlantic, its varibility, high and low, drives the annual results for this basin.  Note also the peaks in 2010, lows after 2014, and a rise in 2021. Now in 2023 the peak is holding at 1.4C.  An annual chart below is informative:

Note the difference between blue/green years, beige/brown, and purple/red years.  2010, 2021, 2022 all peaked strongly in August or September.  1998 and 2007 were mildly warm.  2016 and 2018 were matching or cooler than the global average.  2023 started out slightly warm, then in May and June spiked to match 2010. Now there is a peak in July, with August and September only slightly lower.

The pattern suggests the ocean may be demonstrating a stairstep pattern like that we have also seen in HadCRUT4. 

The purple line is the average anomaly 1980-1996 inclusive, value 0.18.  The orange line the average 1980-202306, value 0.38, also for the period 1997-2012. The red line is 2013-202306, value 0.64. As noted above, these rising stages are driven by the combined warming in the Tropics and NH, including both Pacific and Atlantic basins.

Curiosity:  Solar Coincidence?

The news about our current solar cycle 25 is that the solar activity is hitting peak numbers now and higher  than expected 1-2 years in the future.  As livescience put it:  Solar maximum could hit us harder and sooner than we thought. How dangerous will the sun’s chaotic peak be?  Some charts from spaceweatherlive look familar to these sea surface temperature charts.

Summary

The oceans are driving the warming this century.  SSTs took a step up with the 1998 El Nino and have stayed there with help from the North Atlantic, and more recently the Pacific northern “Blob.”  The ocean surfaces are releasing a lot of energy, warming the air, but eventually will have a cooling effect.  The decline after 1937 was rapid by comparison, so one wonders: How long can the oceans keep this up? And is the sun adding forcing to this process?

Space weather impacts the ionosphere in this animation. Credits: NASA/GSFC/CIL/Krystofer Kim

Footnote: Why Rely on HadSST4

HadSST is distinguished from other SST products because HadCRU (Hadley Climatic Research Unit) does not engage in SST interpolation, i.e. infilling estimated anomalies into grid cells lacking sufficient sampling in a given month. From reading the documentation and from queries to Met Office, this is their procedure.

HadSST4 imports data from gridcells containing ocean, excluding land cells. From past records, they have calculated daily and monthly average readings for each grid cell for the period 1961 to 1990. Those temperatures form the baseline from which anomalies are calculated.

In a given month, each gridcell with sufficient sampling is averaged for the month and then the baseline value for that cell and that month is subtracted, resulting in the monthly anomaly for that cell. All cells with monthly anomalies are averaged to produce global, hemispheric and tropical anomalies for the month, based on the cells in those locations. For example, Tropics averages include ocean grid cells lying between latitudes 20N and 20S.

Gridcells lacking sufficient sampling that month are left out of the averaging, and the uncertainty from such missing data is estimated. IMO that is more reasonable than inventing data to infill. And it seems that the Global Drifter Array displayed in the top image is providing more uniform coverage of the oceans than in the past.

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USS Pearl Harbor deploys Global Drifter Buoys in Pacific Ocean

 

 

UAH: Amazing SH Land Air Spike September 2023

The post below updates the UAH record of air temperatures over land and ocean. Each month and year exposed again the growing disconnect between the real world and the Zero Carbon zealots.  It is as though the anti-hydrocarbon band wagon hopes to drown out the data contradicting their justification for the Great Energy Transition.  Yes, there is warming from an El Nino buildup coincidental with North Atlantic warming, but no basis to blame it on CO2.  

As an overview consider how recent rapid cooling  completely overcame the warming from the last 3 El Ninos (1998, 2010 and 2016).  The UAH record shows that the effects of the last one were gone as of April 2021, again in November 2021, and in February and June 2022  At year end 2022 and continuing into 2023 global temp anomaly matched or went lower than average since 1995, an ENSO neutral year. (UAH baseline is now 1991-2020).

For reference I added an overlay of CO2 annual concentrations as measured at Mauna Loa.  While temperatures fluctuated up and down ending flat, CO2 went up steadily by ~60 ppm, a 15% increase.

Furthermore, going back to previous warmings prior to the satellite record shows that the entire rise of 0.8C since 1947 is due to oceanic, not human activity.

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The animation is an update of a previous analysis from Dr. Murry Salby.  These graphs use Hadcrut4 and include the 2016 El Nino warming event.  The exhibit shows since 1947 GMT warmed by 0.8 C, from 13.9 to 14.7, as estimated by Hadcrut4.  This resulted from three natural warming events involving ocean cycles. The most recent rise 2013-16 lifted temperatures by 0.2C.  Previously the 1997-98 El Nino produced a plateau increase of 0.4C.  Before that, a rise from 1977-81 added 0.2C to start the warming since 1947.

Importantly, the theory of human-caused global warming asserts that increasing CO2 in the atmosphere changes the baseline and causes systemic warming in our climate.  On the contrary, all of the warming since 1947 was episodic, coming from three brief events associated with oceanic cycles. 

Update August 3, 2021

Chris Schoeneveld has produced a similar graph to the animation above, with a temperature series combining HadCRUT4 and UAH6. H/T WUWT

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See Also Worst Threat: Greenhouse Gas or Quiet Sun?

September 2023 Update New Summer High Driven by SH Spike 

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With apologies to Paul Revere, this post is on the lookout for cooler weather with an eye on both the Land and the Sea.  While you will hear a lot about 2020-21 temperatures matching 2016 as the highest ever, that spin ignores how fast the cooling set in.  The UAH data analyzed below shows that warming from the last El Nino had fully dissipated with chilly temperatures in all regions. After a warming blip in 2022, land and ocean temps dropped again with 2023 starting below the mean since 1995.  Spring and Summer 2023 saw a series of warmings.  Now in September a new summer high resulted from a major upward spike in SH, especially the land temps. 

UAH has updated their tlt (temperatures in lower troposphere) dataset for September 2023. Posts on their reading of ocean air temps this month preceded updated records from HadSST4.  I last posted on SSTs using HadSST4 Ocean Warming Crest August 2023, Solar Coincidence?  This month also has a separate graph of land air temps because the comparisons and contrasts are interesting as we contemplate possible cooling in coming months and years. Sometimes air temps over land diverge from ocean air changes.  For example in September 2023, SH land temps leaped upward almost unbelievably.

In September, as shown later on, Global ocean air reached a slightly higher peak led by SH, but with NH easing down. OTOH  Land air temps rose in all regions, with a SH rising dramatically.   Thus the land + ocean Global UAH temperature is now exceeding the 2016 peak.

Note:  UAH has shifted their baseline from 1981-2010 to 1991-2020 beginning with January 2021.  In the charts below, the trends and fluctuations remain the same but the anomaly values change with the baseline reference shift.

Presently sea surface temperatures (SST) are the best available indicator of heat content gained or lost from earth’s climate system.  Enthalpy is the thermodynamic term for total heat content in a system, and humidity differences in air parcels affect enthalpy.  Measuring water temperature directly avoids distorted impressions from air measurements.  In addition, ocean covers 71% of the planet surface and thus dominates surface temperature estimates.  Eventually we will likely have reliable means of recording water temperatures at depth.

Recently, Dr. Ole Humlum reported from his research that air temperatures lag 2-3 months behind changes in SST.  Thus the cooling oceans now portend cooling land air temperatures to follow.  He also observed that changes in CO2 atmospheric concentrations lag behind SST by 11-12 months.  This latter point is addressed in a previous post Who to Blame for Rising CO2?

After a change in priorities, updates are now exclusive to HadSST4.  For comparison we can also look at lower troposphere temperatures (TLT) from UAHv6 which are now posted for September.  The temperature record is derived from microwave sounding units (MSU) on board satellites like the one pictured above. Recently there was a change in UAH processing of satellite drift corrections, including dropping one platform which can no longer be corrected. The graphs below are taken from the revised and current dataset.

The UAH dataset includes temperature results for air above the oceans, and thus should be most comparable to the SSTs. There is the additional feature that ocean air temps avoid Urban Heat Islands (UHI).  The graph below shows monthly anomalies for ocean air temps since January 2015.

Note 2020 was warmed mainly by a spike in February in all regions, and secondarily by an October spike in NH alone. In 2021, SH and the Tropics both pulled the Global anomaly down to a new low in April. Then SH and Tropics upward spikes, along with NH warming brought Global temps to a peak in October.  That warmth was gone as November 2021 ocean temps plummeted everywhere. After an upward bump 01/2022 temps reversed and plunged downward in June.  After an upward spike in July, ocean air everywhere cooled in August and also in September.   

After sharp cooling everywhere in January 2023, all regions were into negative territory. Note the Tropics matched the lowest value, but since have spiked sharply upward +1.26C, with the largest increases in April to July 2023.  NH also warmed 0.7C in the last 4 months, while SH ocean air rose the same. Global Ocean air September 2023 is now matching 2016, the main difference being the much higher rise in SH anomalies since April.  The strength of the El Nino will determine the latter part of this year.

Land Air Temperatures Tracking Downward in Seesaw Pattern

We sometimes overlook that in climate temperature records, while the oceans are measured directly with SSTs, land temps are measured only indirectly.  The land temperature records at surface stations sample air temps at 2 meters above ground.  UAH gives tlt anomalies for air over land separately from ocean air temps.  The graph updated for September is below.

Here we have fresh evidence of the greater volatility of the Land temperatures, along with extraordinary departures by SH land.  Land temps are dominated by NH with a 2021 spike in January,  then dropping before rising in the summer to peak in October 2021. As with the ocean air temps, all that was erased in November with a sharp cooling everywhere.  After a summer 2022 NH spike, land temps dropped everywhere, and in January, further cooling in SH and Tropics offset by an uptick in NH. 

Remarkably, in 2023, SH land air anomaly shot up 1.5C, from  -0.56C in January to +0.93 in July, then dropped to 0.53 in August.  Now in September SH shot up again to 1.5C.  Tropical land temps are up 1.48 since January and NH Land air temps rose 0.9, mostly since May. The consolidated rise greatly exceeds the upward spikes peaking in  2016.

The Bigger Picture UAH Global Since 1980

The chart shows monthly Global anomalies starting 01/1980 to present.  The average monthly anomaly is -0.06, for this period of more than four decades.  The graph shows the 1998 El Nino after which the mean resumed, and again after the smaller 2010 event. The 2016 El Nino matched 1998 peak and in addition NH after effects lasted longer, followed by the NH warming 2019-20.   An upward bump in 2021 was reversed with temps having returned close to the mean as of 2/2022.  March and April brought warmer Global temps, later reversed.

With the sharp drops in Nov., Dec. and January 2023 temps, there was no increase over 1980. Now in 2023 the buildup to the September peak exceeds the sharp April peak of the El Nino 1998 event. It also surpasses the February peak in 2016.  Where it goes from here, up or down, remains to be seen.

TLTs include mixing above the oceans and probably some influence from nearby more volatile land temps.  Clearly NH and Global land temps have been dropping in a seesaw pattern, nearly 1C lower than the 2016 peak.  Since the ocean has 1000 times the heat capacity as the atmosphere, that cooling is a significant driving force.  TLT measures started the recent cooling later than SSTs from HadSST3, but are now showing the same pattern. Despite the three El Ninos, their warming has not persisted prior to 2023, and without them it would probably have cooled since 1995.  Of course, the future has not yet been written.