Climate Factors

Our Atmospheric Heat Engine

Posted on by Ron Clutz

Climate as heat engine. A heat engine produces mechanical energy in the form of work W by absorbing an amount of heat Qin from a hot reservoir (the source) and depositing a smaller amount Qout into a cold reservoir (the sink). (a) An ideal Carnot heat engine does the job with the maximum possible efficiency. (b) Real heat engines are irreversible, and some work is lost via irreversible entropy production TδS. (c) For the climate system, the ultimate source is the Sun, with outer space acting as the sink. The work is performed internally and produces winds and ocean currents. As a result, Qin = Qout.

A previous post presented Michel Thizon’s description of gravity’s effect on the mass of air functioning as a climate thermostat. Some years ago Dr. Murry Salby wrote in detail about the troposphere operating as an heat engine and the stratosphere as a refrigerator. This post consists of excerpts from Salby’s textbook entitled Physics of the Atmosphere and Climate. The title is a link to pdf version of the book Salby (2012). Text in italics with my bolds and added images.

A closed system that performs work through a conversion of heat that is absorbed by it is a heat engine. Conversely, a system that rejects heat through a conversion of work that is performed on it is a refrigerator. In Chap. 6, we will see that individual air parcels comprising the circulation of the troposphere behave as a heat engine.  By absorbing heat at the Earth’s surface, through transfers of radiative, sensible, and latent heat, individual parcels perform net work as they evolve through a thermodynamic cycle (2.13). Ultimately realized as kinetic energy, the heat absorbed maintains the circulation against frictional dissipation. It makes the circulation of the troposphere thermally driven.

In contrast, the circulation of the stratosphere behaves as a radiative refrigerator.  For motion to occur, individual air parcels must have work performed on them. The kinetic energy produced is eventually converted to heat and rejected to space through LW cooling. It makes the circulation of the stratosphere mechanically driven. Gravity waves and planetary waves that propagate upward from the troposphere are dissipated in the stratosphere. Their absorption exerts an influence on the stratosphere analogous to paddle work. By forcing motion that rearranges air, it drives the stratospheric circulation out of radiative equilibrium, which results in net LW cooling to space. Salby (2012) p. 83.

Irreversible processes in the atmosphere. Neglecting radiative processes (not shown here), the largest sources of irreversibility in the atmosphere are those associated with the hydrologic cycle: evaporation, the mixing of moist and dry air, and the melt–freeze cycle (60–80% collectively), and the fallout of precipitation (5–15%). Those contributions limit the entropy generated by frictional dissipation of the winds (5–15%), which ultimately places a limit on the work performed by the atmospheric heat engine in generating circulations. Percentages are estimated based on global climate simulations12 and idealized high-resolution simulations.8

Changes of thermodynamic state that accompany vertical motion follow from the distribution of atmospheric mass, which is determined ultimately by gravity. In the absence of motion, Newton’s second law applied to the vertical reduces to a statement of hydrostatic equilibrium (1.16). Gravity is then balanced by the vertical pressure gradient force. This simple form of mechanical equilibrium is accurate even in the presence of motion because the acceleration of gravity is, almost invariably, much greater than vertical acceleration of individual air parcels. Only inside deep convective towers and other small-scale phenomena is vertical acceleration large enough to invalidate hydrostatic equilibrium.

Because it is such a strong body force, gravity must be treated with some care. Complications arise from the fact that the gravitational acceleration experienced by an air parcel does not act purely in the vertical. It also varies with location. According to the preceding discussion, gravity is large enough to overwhelm other contributions in the balance of vertical forces. The same holds for the balance of horizontal forces. Horizontal components of gravity that are introduced by the Earth’s rotation and other sources must be balanced by additional horizontal forces. Unrelated to air motion, those additional forces unnecessarily complicate the description of atmospheric motion.  Salby (2012) p. 150.

The temperature of a dry air parcel decreases with its altitude at the dry adiabatic lapse rate. To a good approximation, the same holds for a moist air parcel under unsaturated conditions – because the trace abundance of water vapor modifies thermal properties of air only slightly. Under saturated conditions, the adiabatic description of air breaks down due to the release of latent heat that accompanies the transformation of water from one phase to another. Latent heat exchanged with the gas phase then offsets adiabatic cooling and warming, which accompany ascending and descending motion. Salby (2012) p. 162

Net heat absorption and work performed by individual air parcels make the general circulation of the troposphere behave as a heat engine, one that is driven thermally by heat transfer at its lower and upper boundaries. Work performed by individual parcels is associated with a redistribution of mass: Air that is effectively warmer and lighter at the lower boundary is exchanged with air that is effectively cooler and heavier at the upper boundary. This redistribution of mass represents a conversion of potential energy into kinetic energy. The conversion of energy maintains the general circulation against frictional dissipation. Salby (2012) p. 163

The idealized behavior just described relies on heat transfer being confined to the lower and upper boundaries of the layer, where an air parcel resides long enough for diabatic influences to become important. Between the boundaries, the time scale of motion is short. For motion that operates on longer time scales, typical of the stratosphere, the evolution of an individual air parcel is not adiabatic.

Radiative transfer is the primary diabatic influence outside the boundary layer and cloud. It is characterized by cooling rates of order 1 K day−1 in the troposphere (see Fig. 8.24). Cooling rates as large as 10 K day−1 occur in the stratosphere and near cloud (Fig. 9.36). (2012) p. 164

Unlike the troposphere, buoyancy in the stratosphere opposes vertical motion because, invariably, warm (high-θ) air overlies cool (low-θ) air. To exchange effectively-heavier air at lower levels with effectively-lighter air at upper levels, work must be performed against the opposition of buoyancy. The rearrangement of mass represents a conversion of kinetic energy (that of the waves driving the motion) into potential energy. Manifest in temperature, the potential energy is dissipated thermally through LW emission to space. (2012) p. 168

See Also

Fearless Physics from Dr. Salby

In reading the textbook, I found two main reasons why Salby is skeptical of AGW (anthropogenic global warming) alarm. This knowledgeable book is an antidote to myopic and lop-sided understandings of our climate system.

  1. CO2 Alarm is Myopic: Claiming CO2 causes dangerous global warming is too simplistic. CO2 is but one factor among many other forces and processes interacting to make weather and climate.

Myopia is a failure of perception by focusing on one near thing to the exclusion of the other realities present, thus missing the big picture. For example: “Not seeing the forest for the trees.”  AKA “tunnel vision.”

2. CO2 Alarm is Lopsided: CO2 forcing is too small to have the overblown effect claimed for it. Other factors are orders of magnitude larger than the potential of CO2 to influence the climate system.

 

Lop-sided refers to a failure in judging values, whereby someone lacking in sense of proportion, places great weight on a factor which actually has a minor influence compared to other forces. For example: “Making a mountain out of a mole hill.”

Gravity-induced Atmospheric Thermostat

Posted on by Ron Clutz

Michel Thizon published in 2024 a paper explaining why earth’s always variable climate is constrained within a narrow range.  Influence of Adiabatic Gravitational Compression of Atmospheric Mass on the Temperature of the Troposphere.  Excerpts in italics with my bolds and added images

ABSTRACT

The temperature that the Earth’s surface would have without the greenhouse effect, with an atmosphere completely transparent to infrared radiation, or even without an atmosphere at all, is generally estimated at -18°C. The greenhouse effect is estimated to induce a warming of 33°C to justify the surface temperature of +15°C.

To explain this discrepancy, we examine, with the ideal gas law, to which the Earth’s atmosphere obeys with its normal conditions of pressure and temperature, the role that the adiabatic compression of the atmospheric mass subjected to gravity can play. The dimensional analysis of the ideal gas law demonstrates that compression of the atmosphere produces energy, which can be calculated in Joules.

The temperature of the atmosphere near the Earth’s surface is influenced by
its invariable atmospheric mass, solar irradiation and the greenhouse effect.

This calls into question the commonly established Earth’s energy budgets which consider almost exclusively radiative effects, and which deduce a back radiation attributed to the greenhouse effect which is abnormally high.

Earth temperature without atmosphere or greenhouse effects

Goody et al., estimated the solar energy available to heat, both directly and indirectly, the earth and its atmosphere at an average of 224 W/m-2 [1]. Applying the Stefan-Boltzmann law they assumed that the Earth radiates as a perfect black body in the infrared band at a temperature of 255.5 K (or min 17.6°C) for the effective emission temperature [2]. These authors noted that this temperature is lower than the average temperature of the Earth’s surface and indicated that much of the radiation to space must come from the atmosphere rather than from the surface. Goody et al., arbitrarily assigned a value of 1 to the emissivity ε for the calculation, while Jacquemoud assigned a value of 0.98 [3].

According to Hansen, a solar irradiance of 1367 W/m-2 or generally accepted today 1361 W/m-2, but varying with solar fluctuations, leads to a surface temperature of 255 K (or min 18°C), which induces a greenhouse effect of +33°C [4]  Cotton reported that the emission temperature is -19°C and the earth temperature is +14°C, which corresponds to a global greenhouse effect of +33°C [5]. The global greenhouse effect is also estimated at +33°C [6-8]
.
Logically, at -18°C the surface of the earth without an atmosphere or with an atmosphere totally transparent to longwave radiation and that plays no physical role, without any greenhouse effect, should be entirely frozen and covered with frost over its entire surface. This would result in a high Albedo which could be on the order of 0.5 to 0.9 instead of an albedo of 0.30 or 0.29 generally accepted in its current state. In this situation, instead of the solar energy absorbed by the surface reaching approximately 160 to 168 W/m-2 (Figure 1) this energy could be on the order of 70 W/m-2 [9-11]. The Stefan-Boltzmann formula yields a potential surface temperature of approximately -85°C [2]. Note that at these temperatures the water vapor pressure above ice is infinitesimal and could only generate an infinitesimal greenhouse effect. However, according to Nikolov et al., the effects linked to the atmosphere would bring approximately 90°C and not 33°C to the surface at a temperature of 15°C [12,13]. This would suggest that the global  natural effect of atmosphere could be on the order of 90°C rather than the 33°C of the traditional purely radiative approach as reported by almost all the authors.

Global mean energy budget of the Earth

Many authors have endeavored to establish an overall assessment of the energy flows to which the earth is subjected to justify the surface temperature in an essentially radiative system. The Intergovernmental Panel on Climate Change (IPCC) itself places great emphasis on this in each of its reports. The Figure 1 summarizes the values and differences obtained while Table 1 summarizes the main authors who evaluated this earth assessment over a period of approximatively twenty years.

Figure 1. Range of nine energy balances (minimum/maximum according to the authors).

Table 1. Global energy balance of the Earth according to the authors.

The dispersion and imprecision of the results do not allow the effect on surface temperature to be deduced with sufficient accuracy. These budgets must be improved as noted by Lupo et al. [22]

Effect of atmospheric pressure

Few authors have mentioned the role that an atmospheric mass subject to gravity could play in temperature. We can nevertheless cite Leroux [23] Jelbring [24], and Chilingar [25] but these authors evoke a potential role of atmospheric pressure on a qualitative level without seeking to calculate and quantify the effects, probably given the difficulty of integrating the atmosphere as a whole. Nikolov et al. clarify the role of atmospheric pressure for several planets through a complex semiempirical iterative approach [11]

Dimensional analysis of the ideal gas law PV=nRT

The ideal gas law PV=nRT is one of the most fundamental laws of physics and applies entirely to the lower troposphere under its usual conditions of pressure and temperature. This universally accepted law, established in 1834 by Émile Clapeyron, has been perfectly stable for nearly 200 years, which is the case for very few physical laws.

  • P is the pressure (Pa);
  • V is the volume of the gas (m3);
  • n is the quantity of material (mol);
  • T is the absolute temperature (K);
  • R is the universal constant of ideal gases (8.314 J K−1 mol−1);

Dimensional analysis leads to:
R=PV/nT i.e., J K−1 mol−1=Pa.m3 K−1 mol−1, Hence J=Pa.m3=energy

The volume of air multiplied by the pressure to which it is subjected is considered energy (Joules). The atmosphere is heated by compression due to the gravitational field to which it is subjected. Isolated in space, the Earth can only exchange energy with space by radiation, but the atmospheric mass cannot radiate spontaneously since its homonuclear constituents O2, N2, and Ar are passive and cannot radiate.

The earth’s surface is warmer and the atmosphere cannot cool down on contact with it. The compression is thus adiabatic. The greenhouse gases contained in the atmosphere at low levels, mainly H2O and CO2, are capable of radiating at long wavelengths but do not interact radiatively with O2 and N2; additionally, they are under the influence of permanent terrestrial infrared radiation, which they are capable of absorbing, and which is generated continuously from the solar energy received by the Earth’s surface.

The process includes the upward expansion, toward vacuum of the agitated molecules whose kinetic energy decreases and therefore the pressure, which causes cooling with altitude. It is not due to a  decrease in gravity which decreases by less than 3/1000 at a 10 km altitude but of a struggle between gravity and the suction of the vacuum, until the equilibrium which defines an adiabatic thermal gradient. Gravity nevertheless prevents air molecules from escaping into space. Only some H2 molecules can reach the release speed.

RESULTS  Heating of the atmosphere in °K by adiabatic compression

Table 2. Data for an air layer 100 m thick. The left part is from U.S. Standard Atmosphere, according to The EngineeringToolBox [26]

As a tight approximation, for 100 m of atmospheric thickness
Altitude 0 m

  • PV=(10.13 × 104 Pa) (5.101 × 1016 m3)=5.167 × 1021 J
  • Volumetric heat capacity of air C=1256 J m−3 K−1 (at 0 m, 15°C)
  • For 5.101 × 1016 m3 of air; +1°K requires 1256 × 5.101 × 1016 J=6.41 × 1019 J
  • 5.167 × 1021 J/6.41 × 1019 J=80.7
  • +80.7 K overheating due to pressure

Note: With an air layer of 200 m the precision is lower and leads to an overheating of 80.6 K

Gravity compression results, to the Earth’s surface, in 80.7°C of natural greenhouse energy equivalence, which means that to reach 15°C the initial temperature without atmosphere would be -65.7°C, very different from the -18°C admitted by radiative approaches for an inactive atmosphere.

Direct application of the ideal gas law T=PV/nR

  • Altitude 0 m T=(10.13 × 104 × 5.10 × 1016)/(2.165 × 1018 × 8.314)=287.1 K (+14.0°C)
  • Altitude 5,000 m T=254.9 K (-18.2°C)
  • Altitude 10,000 m T=222.4 K (-50.7°C)
  • Altitude 15,000 m T=215.3 K (-57.8°C)

The standard thermal gradient from 0 to 10 km is -6.49°C/km. The ideal gas law explains phenomena linked to temperatures up to 10,000 m in altitude. Beyond that, the results diverge, and other factors and phenomena are involved, like ozone and UV influence.

CONCLUSION

The temperature on the surface of the earth is mainly determined by the action of gravity on the atmospheric mass, which is an immutable fact on a scale of millennia. Climatic variations are the result of lesser phenomena. The solar influence is felt during the day by the direct radiation received, mainly when the sun is at its zenith, and the balance is modified by direct thermal exchanges between the sunny surface and the air in contact. The earth’s surface and the upper layers of the atmosphere radiate permanently towards space by emitting infrared radiation day and night, thus restoring the overall balance.

Surface infrared radiation is probably less intercepted in the lower troposphere by greenhouse molecules than is usually thought, thus explaining the surface temperature. However, there is an atmospheric dynamic, in particular through the water cycle, by evaporation-condensation, but whose overall energy balance is zero. Air mass movements and convection contribute to the overall dynamics, mainly due to the rotation of the Earth and the alternations between the presence and absence of solar radiation.

Astronomical fluctuations in sunshine, surface phenomena such as ocean currents, El Niño or La Niña phenomena, extreme weather phenomena or even volcanic eruptions, as well as other factors that are probably poorly characterized, lead to variations in surface temperature that nevertheless remain relatively damped due to the stabilizing effect of the invariable atmospheric mass subject to gravity.

See Also

Planetary Warming: Back to Basics

 

April 2025 Two Years Ocean Warming Gone

Posted on by Ron Clutz

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;
  • A major El Nino was 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 the current version HadSST4.1.1.0 is here.   The charts and analysis below is produced from the current data.

The Current Context

The chart below shows SST monthly anomalies as reported in HadSST4 starting in 2015 through April 2025. A global cooling pattern is seen clearly in the Tropics since its peak in 2016, joined by NH and SH cycling downward since 2016, followed by rising temperatures in 2023 and 2024.

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.  A small warming was driven by NH summer peaks in 2021-22, but offset by cooling in SH and the tropics, By January 2023 the global anomaly was again below the mean.

Then in 2023-24 came an event resembling 2015-16 with a Tropical spike and two NH spikes alongside, all higher than 2015-16. There was also a coinciding rise in SH, and the Global anomaly was pulled up to 1.1°C last year, ~0.3° higher than the 2015 peak.  Then NH started down autumn 2023, followed by Tropics and SH descending 2024 to the present. After 12 months of cooling in SH and the Tropics, the Global anomaly came back down, led by NH cooling the last 8 months from its 1.3C peak in August, down to 0.8C in March and April. With some recent warming in the Tropics and SH, all regions are now close together nearly at the global anomaly, less than 0.1C higher than the average for this period.

Remarkably, April 2025 SST anomalies in all regions and globally are the coolest since March 2023.

Comment:

The climatists have seized on this unusual warming as proof their Zero Carbon agenda is needed, 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 iswell 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

The graph below  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.

To enlarge image, open 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.

Then in 2023 the Tropics flipped from below to well above average, while NH produced a summer peak extending into September higher than any previous year.  Despite El Nino driving the Tropics January 2024 anomaly higher than 1998 and 2016 peaks, following months cooled in all regions, and the Tropics continued cooling in April, May and June along with SH dropping.  After July and August NH warming again pulled the global anomaly higher, September through January 2025 resumed cooling in all regions, continuing February through April 2025.

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 current data.  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 variability, high and low, drives the annual results for this basin.  Note also the peaks in 2010, lows after 2014, and a rise in 2021. Then in 2023 the peak was holding at 1.4C before declining.  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 rose steadily to an  extraordinary peak in July.  August to October were only slightly lower, but by December cooled by ~0.4C.

Then in 2024 the AMO anomaly started higher than any previous year, then leveled off for two months declining slightly into April.  Remarkably, May showed an upward leap putting this on a higher track than 2023, and rising slightly higher in June.  In July, August and September 2024 the anomaly declined, and despite a small rise in October, ended close to where it began.  Note 2025 started much lower than the previous year and is headed sharply downward, well below the previous two years.

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 0.17.  The orange line the average 1980-2024, value 0.38, also for the period 1997-2012. The red line is 2013-2024, value 0.67. 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?

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

IPCC Climate Models Proven to Lack Predictive Ability

Posted on by Ron Clutz

The recently published paper is Are Climate Model Forecasts Useful for Policy Making? by Kesten C. Green and Willie Soon. Excerpts in italics with my bolds and added images.

Effect of Variable Choice on Reliability and Predictive Validity

Abstract

For a model to be useful for policy decisions, statistical fit is insufficient. Evidence that the model provides out-of-estimation-sample forecasts that are more accurate and reliable than those from plausible alternative models, including a simple benchmark, is necessary.

The UN’s IPCC advises governments with forecasts of global average temperature drawn from models based on hypotheses of causality. Specifically, manmade warming principally from carbon dioxide emissions  (Anthro) tempered by the effects of volcanic eruptions (Volcanic) and by variations in the  Sun’s energy (Solar). Out-of-sample forecasts from that model, with and without the IPCC’s favoured measure of Solar, were compared with forecasts from models that excluded human influence and included Volcanic and one of two independent measures of Solar. The models were used to forecast Northern Hemisphere land temperatures and—to avoid urban heat island effects—rural only temperatures. Benchmark forecasts were obtained by extrapolating estimation sample median temperatures.

The independent solar models reduced forecast errors relative to those of the benchmark model for all eight combinations of four estimation periods and the two temperature variables tested. The models that included the IPCC’s Anthro variable reduced errors for only three of the eight combinations and produced extreme forecast errors from most model estimation periods. The correlation between estimation sample statistical fit and forecast accuracy was -0.26. Further tests might identify better models: Only one extrapolation model and only two of many possible independent solar models were tested, and combinations of forecasts from different methods were not examined.

The anthropogenic models’ unreliability would appear to void policy relevance. In practice, even the models validated in this study may fail to improve accuracy relative to naïve forecasts due to uncertainty over the future causal variable values. Our findings emphasize that out-of-sample forecast errors, not statistical fit, should be used to choose between models (hypotheses).

Background

In their attempts to achieve the IPCC objective of identifying a human cause for temperature changes—specifically “global warming”—the IPCC researchers have framed the problem as one of “attributing” changes in the Earth’s temperature to the respective contributions of putative anthropogenic (“Anthro”) principally carbon dioxide emissions altering the composition of the atmosphere—and natural influences—principally aerosols from volcanic eruptions altering the composition of the atmosphere (“Volcanic”), and total solar irradiance, or TSI, variations (“Solar”).

Given the task they were set, the IPCC researchers have devoted
much of their efforts into developing estimates of the Anthro variable.

The IPCC’s most recent, AR6, report (IPCC, 2021) only considered one estimate of Solar for the purpose of attribution (Matthes et al., 2017) and made no allowance for the effect of urban heat islands on the temperature measures they used (Connolly et al., 2021, 2023; Soon et al., 2023). Moreover, a study of the statistical attribution or “fingerprinting” approach used by IPCC researchers (e.g., Allen and Tett, 1999; Hasselmann, et al., 1995; Hegerl et al., 1997; Santer et al.,1995) concluded that the approach was invalid (McKitrick, 2022). The IPCC authors’ analyses failed to meet the assumptions of the method they used, and they failed to correctly implement the method.

In sum, the objective given to the IPCC researchers and the approach that they have taken suggests that plausible alternative hypotheses on the causes of terrestrial temperature changes may not have been adequately tested, as is required by the scientific method (Armstrong and Green, 2022). That concern is consistent with Armstrong and Green’s (2022) observation that government sponsorship of research can create incentives that may influence researchers’ choices of hypotheses to test and how they test them.

1.1 Alternative hypotheses on Solar

To address the first of the foregoing limitations in the IPCC attribution studies—failure to fairly test alternative TSI estimates—Connolly et al. (2021, 2023) comprehensively reviewed alternative estimates of TSI covering the 169 years from 1850 to 2018. In addition to the Matthes, et al. (2017) TSI estimates series used by the IPCC (2021)—henceforth “IPCC Solar”—Connolly et al. (2023) identified 27 alternative Solar time series.

The alternative estimates of Solar correlate quite well with the TSI used in the AR6 report—Pearson’s r values range between 0.39 and 0.97 with a median of 0.82—but the degree of TSI variation in Watts per square metre (Wm-2) differs considerably between the estimates. The ranges of the individual alternative TSI estimate series vary between 0.49 and 4.64 Wm-2, with a median range of 1.77 Wm-2, while IPCC Solar has a range of only 0.19 Wm-2.

In this study, we consider two plausible TSI reconstructions from Connolly et al. (2023). Those from Hoyt and Schatten (1993) and from Bard et al. (2000), which Connolly et al. (2023) updated to the year 20182. The former TSI record (“H1993 Solar”) was based on the so-called multiproxy—i.e., equatorial solar rotation rate, sunspot structure, the decay rate of individual sunspots, the number of sunspots without umbrae, and the length and decay rate of the 11-yr sunspot activity cycle—reconstruction of the solar irradiance history.

1.2 Alternative hypotheses on temperature estimation

The IPCC’s attribution studies do not account for the direct effects of human activities on local temperatures (heat islands)—the second weakness addressed in this study. For example, heating and cooling of building interiors, electricity generation, manufacturing, freight and transport, asphalt and concrete, and where vegetation and open water have been removed or added. Where temperature readings are taken close to such human sources of heat or absence of natural cooling, they cannot properly reflect the individual effects of human emissions of carbon dioxide, etc., that the IPCC are concerned about (their Anthro variable), the Volcanic variable, and TSI.

To address this second limitation in the IPCC attribution studies, Connolly et al. (2021, 2023) developed four alternative estimates of surface temperatures that were intended to avoid heat island effects. They were based on rural only weather station readings, sea surface temperature readings, tree-ring width measurements, and glacier length measurements. For comparison with the approach used by the IPCC, they also developed an all-land temperature estimates series for the Northern Hemisphere.

1.5 Hypotheses tested

The foregoing discussion suggests the following hypotheses, which are tested in this study.

    • H1. Forecasts from causal models will [will not] be usefully more accurate than forecasts from a naïve no-change model.
    • H2. Models using variable measures developed independently of the IPCC dangerous manmade global warming hypothesis will [will not] have greater predictive validity.
    • H3. The statistical fit of the models (adjusted-R2) will not [will] be substantively positively related to their predictive validity.
    • H4. Models using variable measures developed independently of the IPCC dangerous manmade global warming hypothesis will [will not] be more reliable.

Findings

Figure 1: Absolute Errors of NH All Land and Rural Land Temperature Forecasts to 2018 (℃) — Forecasts from four alternative models plus naïve estimates over four periods. Legend (Causal variables in models):    Black Anthro, Volcanic; Red Anthro, Volcanic, IPCC Solar;  Green B2000 Solar, Volcanic;  Blue H1993 Solar, Volcanic; Yellow Estimation sample median temperature.

3.1 Predictive validity of causal models versus naïve model [H1]

Forecast errors were larger than the benchmark errors (UMBRAE) for the IPCC Anthro models AVL and AVSL estimated with data from 1850 to 1949 and from 1850 to 1969, and for the AVR and AVSR models estimated with data from 1850 to 1899, 1850 to 1949, and 1850 to 1969. The anthropogenic warming models showed predictive validity relative the naïve model (UMBRAE less than 1.0) for only three of the eight combinations of forecast variable and estimation sample period.

3.2 Predictive validity of independent versus IPCC models [H2]

The MdAEs (median absolute error) of the forecasts from the models with IPCC’s anthropogenic and volcanic series as causal variables (AVL and AVR) and from the models that also included IPCC’s solar series (AVSL and AVSR) were greater than 1°C (roughly 2°F) for five of the eight combinations tested. The MdAEs of the forecasts from the models with B2000 solar and the volcanic series as causal variables (SBVL and SBVR) were less than 0.55°C (1°F) for all eight of the estimation periods used and temperature series being forecast combinations and for seven of the eight in the case of the models with H1993 as the solar variable (SHVL and SHVR).

3.3 Relationship between predictive validity and statistical fit of models [H3]

The correlations (sign-reversed Pearson’s r) between the accuracy of out-of-sample forecasts, as measured by UMBRAE (an error measure, hence the sign reversal), and the statistical fit of the models to the estimation data (adjusted-R2) for the causal models tested were large and negative for six (6) of the eight (8) combinations of estimation period (1850 to 1899, 1949, 1969, and 1999) used—and hence maximum forecast horizon of 119, 69, 49, and 19 years, respectively—and temperature series (NH Land and NH Rural) forecast.

3.4 Reliability of independent versus IPCC models [H4]

Charts of the results of Test 2 are presented in Figure 2 and are discussed below.

Figure 2. Median absolute errors of NH temperature forecasts 2000 to 2018 in ℃. Legend (Causal variables in models): Black Anthro, Volcanic; Red Anthro, Volcanic, IPCC Solar;  Green B2000 Solar, Volcanic;  Blue H1993 Solar, Volcanic;  Yellow Estimation sample median temperature.

The independent solar models—SBVL and SHVL, and SBVR and SHVR—perform largely as one
would expect of causal models when forecasting using known values of the causal variables.

In the case of the AVR and AVSR models—forecasting the rural land temperatures, on the right of Figure 2—the MdAEs decreased rapidly from roughly 17 times the corresponding naïve forecast errors to beat the naïve MdAE when the 76th observation (1925) was added to the estimation samples. After that observation was added, the MdAEs for the AVR and AVSR model forecasts increased rapidly with each extra observation then stayed high before rapidly declining again after the 116th observation (1965) was added to the estimation samples.

When a model of causal relationships is estimated from empirical data on valid causal variables reliably measured, one would expect forecast errors to get smaller as more observations are used in the estimation of the model’s parameters. That is what the charts in Figure 2 show in the case of the naïve benchmark model forecasts and, broadly, what can be seen in the case of the independent models SBVL, SHVL, SBVR, and SHVR, but is not seen in the case of the models using the IPCC variables: AVL, AVSL, AVR, and AVSR.

The errors of the Anthro models’ forecast errors explode well beyond 1 °C and the benchmark model errors for forecast years beyond the mid-1970s, with puzzling exceptions. Namely, forecasts from Anthro models estimated from the largest sample size in the chart—1850 to 1999—and from models estimated from the smallest sample—1850 to 1899—forecasting All Land temperatures. In those cases, involving three of the eight charts, the Anthro model errors are less than the median historical temperature benchmark model errors, and mostly less than the errors of the independent models in later years.

The explosion in Anthro model errors from the 1970s is more extreme for models estimated to forecast Rural Land temperatures. Moreover, for the models estimated using only 1850 to 1899 data, errors are larger than those of the benchmark and independent models from 1920 and, prior to 1970, without any obvious pattern.

5. Conclusions

The IPCC’s models of anthropogenic climate change lack predictive validity. The IPCC models’ forecast errors were greater for most estimation samples —often many times greater—than those from a benchmark model that simply predicts that future years’ temperatures will be the same as the historical median. The size of the forecast errors and unreliability of the models’ forecasts in response to additional observations in the estimation sample implies that the anthropogenic models fail to realistically capture and represent the causes of Earth’s surface temperature changes. In practice, the IPCC models’ relative forecast errors would be still greater due to the uncertainty in forecasting the models’ causal variables, particularly Volcanic and IPCC Solar.

The independent solar models of climate change—which did not include a variable representing the IPCC postulated anthropogenic influence—do have predictive validity. The models reduced errors of forecasts for the years 2000 to 2018 relative to the benchmark errors for all, and all but one of 101 estimation samples tested for each of the two models. One of the models (B2000 Solar) reduced errors by more than 75 percent for forecasts from models estimated from 35 of the samples—a particularly impressive improvement given that the benchmark errors were no greater than 1 °C for all but one of the estimation samples.

The independent solar models provide realistic representations of the causal relationships with surface temperatures. The question of whether the independent solar variables can be forecast with sufficient accuracy to improve on the benchmark model forecasts in practice, however, remains relevant. All in all, and contra to the IPCC reports, there is insufficient evidential basis for the use of carbon dioxide, et cetera, emissions—taken together, the IPCC’s Anthro—as climate policy variables.

Finally, this study provides further evidence that measures of statistical fit provide misinformation about predictive validity. Predictive validity can only be properly estimated when the proposed model or hypothesis is used for forecasting new-to-the-model data, and the forecasts are then compared for accuracy against forecasts from a plausible benchmark model. This important conclusion needs bearing in mind when evaluating policy models.

See Also:

Lacking Data, Climate Models Rely on Guesses

Figure 1. Anthropgenic and natural contributions. (a) Locked scaling factors,
weak Pre Industrial Climate Anomalies (PCA). (b) Free scaling, strong PCA

Climate Models Hide the Paleo Incline

Antidote to Climate Doomsters

Posted on by Ron Clutz

At Quora someone posed this  question:  Will we avoid a climate catastrophe just in time (please be positive I need some hope)?

Paul Noel ,Former Research Scientist 6 Level 2 UAH (2008–2014) wrote this response.  Excerpts in italics with my bolds and added images.

I have researched this issue in depth. As a good scientist I have gone deeply and gotten the facts. I have gotten:

  • the Satellite data on the global profiles,
  • the weather data.
  • the storm data and disaster data
  • the polar ice data.
  • the historical data.

I have looked in deeply on this issue. I have studied the physics too! I have studied the history too! I have studied the archeology and even the paleo geology and even the ice core data.

This isn’t easy to get because lots of people are producing lies on the topic. So I have worked very hard to get down to the facts. Then the job becomes one which is very hard. If I just tell you the answers I got , it is a case of if you believe me or not. If I tell you the science data it is likely to get way in over your understanding and that is back to if you believe me or not. This is a job of explaining to you very carefully what the data is using things you can see and understand.

So taking this from the top there are 2 ways I can go.
One way is to go into the advocates of the topic that are so scaring you deeply
and the other is to go into the science.

The explanation of the science is pretty easy and such but explaining to you the motives of people and their actions and methods is much harder. But I am going to start with the people.

Why are they scaring you about the climate?

Climate policy has almost nothing to do anymore with environmental protection, says the German economist and IPCC official Ottmar Edenhofer.

This is what this is all about. There is no other motive. You may dispense with your worries here if you are worried for the world environment. But I will now switch to the facts and reality on the ground. Remember this alone should pretty much put an end to your worries. You are facing a very large deliberate well funded and most professionally constructed set of lies and propaganda designed to get you scared like you are. This is 5th generational warfare. It is not anything you are used to thinking about. That is why it is effective.

What are the climate facts on the ground?

The fact on the ground are that if the changes you are supposing to see are real they should be obvious. They should be something you can see, feel, hear and touch. That is where we are going right now!

If the world is warming up the paleo-climate data says that the polar regions warm first. That is what you are being told about arctic ice melting and sea level raise. If you go to the Denmark Polar Portal on the web you can get the data.

Greenland Ice Sheet is not Melting Away

Because these people have to comply with the IPCC they put in all kinds of disclaimers trying to keep you scared of melt down etc.. The reality is we are solidly into the melt season and the ice is not melting down more than usual.

Arctic Sea Ice Is Not Going Away

The polar ice is at normal levels. I can go on and on here but the reality is that there is no emergency.

Global Warming is Not Accumulating

The data from UAH which is technical showed from January 1995 to January 2023 the global temperature did not increase at all.  And from 2016 actually went down (-0.7C) . That isn’t some melting or Global Warming or some Climate Catastrophe. It just is not.

CO2 Is Rising But Far Below Its Optimum

Is CO2 rising it sure is and it isn’t even to the maximum level that occurred in the last maximum in the last interglacial period of earth. CO2 is not 1% it is 0.042%. The earth has thrived with maximum life at 1% CO2 there are no melt down periods.

Is the climate variable, You bet it is. We have seen in the last 2000 years it go up and down in temperature and we are actually near the bottom of that period. The reality is that we have been up to 10C warmer and guess what that time mankind did his very best. We don’t thrive on cold.

Warming Has Been Beneficial and More Would be a Good Thing

Now let’s look at the trends and in a way you never imagined. I have looked into this matter because Alabama where I live has a cute lovely vacation town called Orange Beach. I highly recommend Orange Beach for a vacation it is beautiful. Orange Beach was named in 1898 when the US Post Office (Now the USPS) opened a new post office there. The unincorporated town’s principal business was raising oranges commercially. Alabama used to raise oranges up to about Evergreen Alabama or almost to Montgomery Alabama the state capitol.

 Production of Oranges Limited by Freezing Temperatures in SE US

No commercial orange production exists in Alabama at this time. The reason is simple. The growing season in Orange Beach Alabama went from 365 days a year to 268 days a year. The orange trees froze out. Now they have new varieties that can grow in the colder weather but even they are severely limited in Alabama. The orange trees have frozen out almost to Orlando Florida now.

Orange beach would be right next to North Florida along the Gulf of Mexico. Literally Florida is just across the Perdido River from Orange Beach.

The Gulf Stream Makes Climate Change in the North Atlantic

The reality is the climate from 1898 to the present has gotten colder in the USA. This is significant to the whole earth for a very important reason.

You see the heat from the whole earth gets aimed directly at Alabama! We cool down so is the rest of the world. The whole circulation for the whole earth focuses on the Gulf of Mexico and Alabama.

This by the way is why Greenland has so much ice. You see it is the warm water from the Gulf Stream that generates the steam that freezes and comes down as snow. You have to make the steam to make the ice.

Sea Level Depends on Land Buoyancy, not CO2

Now on to sea level rise. First of all if you believe that the sea level is rising and such it is only reported to be rising in the order of the thickness of 2 US 5 Cent coins per year. So if you believe it is happening it is no emergency and no real problem. It isn’t worthy of losing sleep over. The stories of melting sea ice are silly. First of all even if they melt they will have absolutely no effect on the sea level because they are floating. But there is another thing these people don’t tell you about.

The sea level is not the product of the amount of water in the ocean. It is in fact the product of a large sum of buoyancy issues and the gravity of the earth. The continents are where they are because they have less gravity than the other areas. The seafloor is a zone of higher gravity. Because the continents are floating that means that their level above the sea is determined by the laws of buoyancy. If Greenland were to melt off, the resulting reality would cause the area to buoy up because it would weigh less. At the same time the water added to the oceans would simply sink the sea floor deeper.

Continents Can Sink to Form New Seas

But to illustrate this you must learn about the Great Rift Valley of Africa. That valley is a place where the base continental rocks have spread apart. The land is sinking there and has already sunk to form the Red Sea! A new ocean is forming in Africa. This is what has sunk the continental shelves of the continents. The edge of the continents tinned out and lost the thick granite below that floats on the magma and they sunk. So sea level is not in any way related to ice melting. Sea level is related to this continental buoyancy issue. So nothing in their story not melting ice nor rising seas is happening. But I will show you this in pictures because we have these now.

Many Coastlines Show Water Receding Rather than Rising

Tell me if you see any sea level rise in the past 246 years now. (None!)

[Since we are looking in New England:]

This is just about due south of London–Pevensey Castle.

It was started construction in about 203 AD. It was built right on the sea on a coastal island. Such a fort only has value as far as an archer can shoot an arrow. It guarded the entrance to Pevensey Bay. The bay doesn’t exist it is nearly 30 meters above sea level now. Lots of people just refuse to see them. The fort itself is 110 feet above sea level and 5/8 mile from the sea.

If it isn’t clear yet that you have been hoaxed into a panic I don’t know what I can do. I have shown you that it got colder not warmer. That the ice is not melting. That the seas are not rising. Shall I go on?

CO2 Is Plant Food not a Pollutant

How about the real truth of CO2 and what it is doing on our earth. Look at these pictures carefully they tell the truth beyond any possible doubt.

C3 photosynthesis plants are growing 800% better than they were. Our C4 plants are doing 650% better.

The whole earth is growing better and the forests are growing because of CO2. Sorry this isn’t a “doom and gloom” story here.

Wild fires are down too!

The fact is that in 1960 the world was running out of food because our plants and farms were at their limits. Today we are run over with food and 45% of our crop land has been turned back to the forests. We are not at the limits. This has led to an explosion of wildlife too!

Life is Thriving Not Facing Extinction

There literally is no mass extinction going on. We are in the largest bloom of life on earth that has been seen in the past 10,000 years.

The human race is on the edge of unlimited energy, unlimited food, unlimited technology and we are sitting here in terror of some imaginary doom and gloom hating the very system that is feeding mankind and building him up.

Everything is quite literally the opposite of what you are told!

In Sum;

The only catastrophe would be ill-advised climate policies willfully destroying
our energy platform and economic supply processes out of irrational CO2 hysteria.

April 2025 UAH Temps Little Changed For Now

Posted on by Ron Clutz

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 was 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). Then there was an usual El Nino warming spike of uncertain cause, unrelated to steadily rising CO2 and now dropping steadily.

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 in 2024 we saw an amazing episode with a temperature spike driven by ocean air warming in all regions, along with rising NH land temperatures, now dropping below its peak.

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

image-8

See Also Worst Threat: Greenhouse Gas or Quiet Sun?

April 2025 UAH Temps Little Changed Despite Tropical Cooling banner-blog

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 heard 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, continuing into 2024 peaking in April, then cooling off to the present.

UAH has updated their TLT (temperatures in lower troposphere) dataset for April 2025. Due to one satellite drifting more than can be corrected, the dataset has been recalibrated and retitled as version 6.1 Graphs here contain this updated 6.1 data.  Posts on their reading of ocean air temps this month are ahead of the update from HadSST4.  I posted recently on SSTs March 2025 Oceans Cooling Persists.  These posts have 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. In July 2024 all oceans were unchanged except for Tropical warming, while all land regions rose slightly. In August we saw a warming leap in SH land, slight Land cooling elsewhere, a dip in Tropical Ocean temp and slightly elsewhere.  September showed a dramatic drop in SH land, overcome by a greater NH land increase. 2025 has shown a sharp contrast between land and sea, first with ocean air temps falling in January recovering in February.  Then land air temps, especially NH, dropped in February and recovered in March.

Note:  UAH has shifted their baseline from 1981-2010 to 1991-2020 beginning with January 2021.   v6.1 data was recalibrated also starting with 2021. In the charts below, the trends and fluctuations remain the same but the anomaly values changed 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 UAHv6.1 which are now posted for April 2025.  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.

In 2021-22, SH and NH showed spikes up and down while the Tropics cooled dramatically, with some ups and downs, but hitting a new low in January 2023. At that point all regions were more or less in negative territory.

After sharp cooling everywhere in January 2023, there was a remarkable spiking of Tropical ocean temps from -0.5C up to + 1.2C in January 2024.  The rise was matched by other regions in 2024, such that the Global anomaly peaked at 0.86C in April. Since then all regions have cooled down sharply to a low of 0.27C in January.  In February 2025, SH rose from 0.1C to 0.4C pulling the Global ocean air anomaly up to 0.47C, where it stayed in March and April

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 March is below.

Here we have fresh evidence of the greater volatility of the Land temperatures, along with extraordinary departures by SH land.  The seesaw pattern in Land temps is similar to ocean temps 2021-22, except that SH is the outlier, hitting bottom in January 2023. Then exceptionally SH goes from -0.6C up to 1.4C in September 2023 and 1.8C in  August 2024, with a large drop in between.  In November, SH and the Tropics pulled the Global Land anomaly further down despite a bump in NH land temps. February showed a sharp drop in NH land air temps from 1.07C down to 0.56C, pulling the Global land anomaly downward from 0.9C to 0.6C. In March that drop reversed with both NH and Global land back to January values, despite another drop in SH land air temps. Now in April there is a slight upward bump despite a dip in Tropical land temperatures

The Bigger Picture UAH Global Since 1980

The chart shows monthly Global Land and Ocean anomalies starting 01/1980 to present.  The average monthly anomaly is -0.03, 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. Then in 2023 the buildup to the October/November peak exceeded the sharp April peak of the El Nino 1998 event. It also surpassed the February peak in 2016. In 2024 March and April took the Global anomaly to a new peak of 0.94C.  The cool down started with May dropping to 0.9C, and in June a further decline to 0.8C.  October went down to 0.7C,  November and December dropped to 0.6C. February went down to 0.5C, then back up to 0.6C in March and April driven by the bounce in NH land air temps.

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

Note on Ocean Cooling Not Fully Appearing in UAH Dataset

The above chart shows sea surface temperature anomalies (SSTA)  in the North Atlantic 0 to 60N.  The index is derived from ERSSTv.5 by subtracting the global anomalies from the North Atlantic anomalies, the differences as shown in the chart. The baseline of  0.0C is the average for the years 1951 to 1980.  The mean anomaly since 1980 is in purple at 0.33C, and persisted throughout up to 2018. The orange line is the average anomaly in the the last six years, 2019 to 04/2025 inclusive, at 0.84C. The remarkable spikes in 2023 and 2024 drove that rise to exceed 1.4C, which has been cut in half over the last 10 months.  As Dr. Humlum observed, such oceanic changes usually portend air temperature changes later on.

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 HadSST4, but are now showing the same pattern. Despite the three El Ninos, their warming had not persisted prior to 2023, and without them it would probably have cooled since 1995.  Of course, the future has not yet been written.

It’s the Sun Warming Us, Dummy

Posted on by Ron Clutz

Nir Shaviv makes sense in his Daily Sceptic article Global Warming is Mostly Caused By the Sun, Not Humans, Says Astrophysics Professor.  Excerpts in italics with my bolds and added images.

“There’s no such thing as a scientific consensus,” Nir Shaviv, a Professor at the Racah Institute of Physics at the Hebrew University of Jerusalem says in response to a question about what he thinks of the widespread claim that there is a scientific consensus on the anthropogenic nature of climate change. “In science, we deal with open questions and I think that the question of climate change is an open question. There are a lot of things which many scientists are still arguing about,” he explains.

Indeed, there are scientists who say that climate change is caused entirely by humans and the situation is very dire. But then there are those who say that although humans are causing much of the warming, the situation is not as bad as we are being told by politicians and activists through the media. Some think that CO2 plays an important part in the current warming trend and some believe its role is insignificant.

Although Shaviv assesses that some of the warming in the 20th century is indeed the result of increasing atmospheric CO2 concentrations, most of the change is a natural phenomenon. “My research has led me to strongly believe that based on all the evidence that’s accumulated over the past around 25 years, a large part of the warming is actually not because of humans, but because of the solar effect,” he says.

Up to two-thirds of the warming comes from the Sun

As an astrophysicist, Shaviv’s research has largely focused on understanding how solar activity and the Earth’s climate are linked. In fact, he says, at least half, and possibly two-thirds, of the 20th century’s warming is related to increased solar activity. Shaviv has also shown that cosmic rays and their activity influence cloud cover formation, also causing the climate to change. He has been working on this issue together with Danish astrophysicist Dr Henrik Svensmark.

In any case, Shaviv says, if solar activity and cosmic ray effects are taken into account, the climate sensitivity remains relatively low, or simply put – an increase in the proportion of CO2 in the atmosphere cannot cause much warming. Scientists have long attempted to calculate how much a doubling of atmospheric CO2 would raise the temperature of the Earth. The first attempt was made more than 100 years ago by the Swedish chemist Svante Arrhenius, who suggested an answer of up to six degrees Celsius. Since then, this number has been revised downwards, but not enough, according to Shaviv. “If you open the IPCC [Intergovernmental Panel on Climate Change] reports, then the canonical range is anywhere between one and a half or two, depending on which report you look at, to maybe four and a half degrees increase for CO2 doubling. What I find is that climate sensitivity is somewhere between one and one and a half degree increase per CO2 doubling,” Shaviv says, adding that he does not expect the temperature rise in the 21st century to be very high.

On average, half of sunlight is either absorbed in the atmosphere or reflected before it can be absorbed by the surface land and ocean. Any shift in the reflectivity (albedo) impacts greatly on the solar energy warming the planet.

Explaining the warming that has happened primarily with CO2 is where the IPCC’s scientific reports err, Shaviv says, by failing to account for the solar effect. And because they do not account for it, but there is still a need to explain the temperature rise, the rise in CO2 levels in the atmosphere, which has been attributed to human influences, has been used to explain it. Shaviv explains that this is the wrong answer as it fails to take into account all the contributing factors.

Is the planet boiling?

But is this temperature rise causing a climate crisis? Shaviv’s answer to the question is simple and clear: “No.” He explains that the average temperature on the planet has risen by one degree Celsius since about 1900, but this is not unprecedented. We are familiar, for example, with the Medieval Warm Period, when the Vikings charted the coast of Greenland, including its northern part, which today is covered with ice even in summer. “This kind of climate variation has always happened. Some of the warming now is anthropogenic, but it’s not a crisis in the sense that the temperature is going to increase by five degrees in a century and we’re all doomed. We just have to adapt to changes. Some of them are natural and some are not, but they’re not large,” Shaviv explains.

It has been widely reported that both 2023 and 2024 were the warmest years on record. Referring to this rise in temperatures, UN Secretary-General António Guterres already in July 2023 declared that we have entered an “era of global boiling”. Shaviv says that of course, we can have average surface temperatures that are highest if we only look back 100 or 150 years. “If you go back a thousand years it was just as warm. If you go back 5,000 years it was definitely warmer. So, It doesn’t mean much,” he explains.

And if you look at a longer time scale, warmer periods have alternated with colder periods throughout. Also, over the last 100,000 years, the Earth has been in an ice age for most of that time, and the retreat of the ice in Europe and North America happened about 12,000 years ago.

Do extreme weather events prove a climate crisis?

However, it is often claimed in the media that we are in an unprecedented and critical climatic situation and all the reported extreme weather events are said to be proving it.

In reality, there is no indication that most extreme weather events are more frequent or in any way more severe than in the past. Take hurricanes, for example. It’s true that the damage they cause has increased over time, but Shaviv says that’s because more people live near the coast. “If you look at the statistics of hurricanes making landfall in the US, which is a relatively reliable record, then you see that there is no significant change,” he says. Shaviv adds that, in reality, there is not even any reason to expect a warming climate to bring more hurricanes. “Sure, you need hotter waters to generate hurricanes, but you also need the gradient, you need the temperature difference between the equator and the subtropics in order to drive the hurricanes. And warmer Earth actually has a smaller temperature difference. So it’s not even clear ab initio whether you’re going to have more hurricanes or less,” Shaviv explains.

Large wildfires, for example, are also associated with climate warming, but Shaviv says there is no reason for this either. “In the US in the 1930s the annual amount of area which was burnt a year was way larger than what it is today,” he says, adding that the reality is that a large proportion of fires are caused by poor forest management, which fails to clear the forest floor of flammable material.

Towards nuclear energy

In the light of the above, climate change does not make it necessary to abandon fossil fuels. However, Shaviv says we should still move towards cleaner energy. Firstly, burning fossil fuels causes real environmental pollution – in particular coal, which is still on the rise worldwide. Secondly, fossil fuels will run out one day.

But mankind cannot replace these fuels with wind and solar power. “First of all, it’s very expensive. You can see that any country that has a lot of any of those, they pay much more for electricity,” Shaviv says. He suggests looking at electricity prices in countries such as Germany or Denmark, where wind and solar have been developed with billions of euros of government aid, and comparing them with, for example, France which uses nuclear power. What makes this form of energy so expensive is its intermittent nature – generation takes place when the sun shines and the wind blows. So to guarantee electricity supply, either huge storage capacity or backup systems, such as gas-fired power stations, are needed.

Shaviv believes that in the future, much more reliance should be placed on nuclear power, which does not have the pollution problems of fossil fuels and, unlike wind and solar, can provide a stable energy supply. However, the critics of this plan remind us of past nuclear accidents – Chernobyl in Ukraine, Three Mile Island in the USA and Fukushima in Japan. Each of these accidents had its own causes – in the case of Chernobyl and Three Mile Island, technical defects mixed with human error, and in the case of Fukushima, natural forces, in other words, the earthquake and tsunami. In the case of Fukushima in 2011, however, no one died as a direct result of the accident at the nuclear power plant (though thousands of people died as a result of the tsunami that devastated the coastline).

Shaviv says there is no point in comparing the safety of nuclear plants that have suffered accidents in the past with today’s technology. “I don’t think it’s going to be a problem in the sense that we can have an extremely safe design,” he says, adding that the wider deployment of nuclear power will happen whether the West joins in or not. “If you look at China, which is energy-hungry, they don’t care about public opinion as much as we do in the West. And they don’t have as much problem with regulation. So they’re just going to run forward and instead of building or opening a coal power plant every few weeks, in a few years, they’re going to be opening a nuclear power plant every few weeks,” Shaviv says. He adds that the West would also be wise to participate in this development, rather than moving in the opposite direction.

March 2025 UAH Yo-yo Temps

Posted on by Ron Clutz

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 was 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). Then there was an usual El Nino warming spike of uncertain cause, unrelated to steadily rising CO2 and now dropping steadily.

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 in 2024 we saw an amazing episode with a temperature spike driven by ocean air warming in all regions, along with rising NH land temperatures, now dropping below its peak.

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

image-8

See Also Worst Threat: Greenhouse Gas or Quiet Sun?

March 2025 UAH Temps Yo-yo, Ocean First, Then Land banner-blog

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 heard 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, continuing into 2024 peaking in April, then cooling off to the present.

UAH has updated their TLT (temperatures in lower troposphere) dataset for March 2025. Due to one satellite drifting more than can be corrected, the dataset has been recalibrated and retitled as version 6.1 Graphs here contain this updated 6.1 data.  Posts on their reading of ocean air temps this month are ahead of the update from HadSST4.  I posted recently on SSTs February 2025 Oceans Keep Cool.  These posts have 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. In July 2024 all oceans were unchanged except for Tropical warming, while all land regions rose slightly. In August we saw a warming leap in SH land, slight Land cooling elsewhere, a dip in Tropical Ocean temp and slightly elsewhere.  September showed a dramatic drop in SH land, overcome by a greater NH land increase. 2025 has shown a sharp contrast between land and sea, first with ocean air temps falling in January recovering in February.  Then land air temps, especially NH, dropped in February and recovered in March.

Note:  UAH has shifted their baseline from 1981-2010 to 1991-2020 beginning with January 2021.   v6.1 data was recalibrated also starting with 2021. In the charts below, the trends and fluctuations remain the same but the anomaly values changed 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 UAHv6.1 which are now posted for March 2025.  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.

In 2021-22, SH and NH showed spikes up and down while the Tropics cooled dramatically, with some ups and downs, but hitting a new low in January 2023. At that point all regions were more or less in negative territory.

After sharp cooling everywhere in January 2023, there was a remarkable spiking of Tropical ocean temps from -0.5C up to + 1.2C in January 2024.  The rise was matched by other regions in 2024, such that the Global anomaly peaked at 0.86C in April. Since then all regions have cooled down sharply to a low of 0.27C in January.  In February 2025, SH rose from 0.1C to 0.4C pulling the Global ocean air anomaly up to 0.47C, where it stayed in March.

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 March is below.

Here we have fresh evidence of the greater volatility of the Land temperatures, along with extraordinary departures by SH land.  The seesaw pattern in Land temps is similar to ocean temps 2021-22, except that SH is the outlier, hitting bottom in January 2023. Then exceptionally SH goes from -0.6C up to 1.4C in September 2023 and 1.8C in  August 2024, with a large drop in between.  In November, SH and the Tropics pulled the Global Land anomaly further down despite a bump in NH land temps. February showed a sharp drop in NH land air temps from 1.07C down to 0.56C, pulling the Global land anomaly downward from 0.9C to 0.6C. Now that drop is reversed in March with both NH and Global land back to January values, despite another drop in SH land air temps.

The Bigger Picture UAH Global Since 1980

The chart shows monthly Global Land and Ocean anomalies starting 01/1980 to present.  The average monthly anomaly is -0.03, 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. Then in 2023 the buildup to the October/November peak exceeded the sharp April peak of the El Nino 1998 event. It also surpassed the February peak in 2016. In 2024 March and April took the Global anomaly to a new peak of 0.94C.  The cool down started with May dropping to 0.9C, and in June a further decline to 0.8C.  October went down to 0.7C,  November and December dropped to 0.6C. February went down to 0.5C, now back up to 0.6C driven by the bounce in NH land air temps.

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 HadSST4, but are now showing the same pattern. Despite the three El Ninos, their warming had not persisted prior to 2023, and without them it would probably have cooled since 1995.  Of course, the future has not yet been written.

Climate Crisis Talk Obscures Reality

Posted on by Ron Clutz

Edward Ring writes at American Greatness Challenging the Climate Crisis Narrative.  Excerpts in italics with my bolds and added images.

The climate crisis narrative ignores real issues like
poor infrastructure and overpopulation, pushing costly policies
that hurt economies while failing to improve resilience.

According to the United Nations, “Climate change is a global emergency that goes beyond national borders.” From the World Economic Forum, “Urgent global action must be taken to reduce emissions and safeguard human health from the multi-pronged negative impacts of climate change globally.”

From every multinational institution in the world, we hear the same message. From the World Bank, “The world is battling a perfect storm of climate, conflict, economic, and nature crises.” From the World Health Organization, “Between 2030 and 2050, climate change is expected to cause approximately 250,000 additional deaths per year from malnutrition, malaria, diarrhea, and heat.”

A major problem with all this unanimity over this “emergency” is the fact that for at least half of all people living in Western nations in 2025, the UN, WEF, WHO, and World Bank have no credibility. We don’t want to “own nothing and be happy” as our middle class is crushed. We don’t want the only politically acceptable way to maintain national economic growth to rely on population replacement. And with only the slightest numeracy, we see apocalyptic proclamations as lacking substance.

Top Ten Causes of Death Globally 2021

For example, while 250,000 “additional deaths per year” is tragic, worldwide estimates of total deaths are not quite 70 million per year. These “additional deaths” constitute a 0.36 percent increase over that baseline, just over one-third of one percent. Not even a rounding error.

Source NASA

Similarly, an alarmist prediction from NASA is that “Antarctica is losing ice mass (melting) at an average rate of about 150 billion tons per year, and Greenland is losing about 270 billion tons per year, adding to sea level rise.” Let’s unpack that a bit. A billion tons is a gigaton, equivalent in volume to one cubic kilometer. So Antarctica is losing 150 cubic kilometers of ice per year. But Antarctica has an estimated total ice mass of 30 million cubic kilometers. Which means Antarctica is losing about one twenty-thousandth of one percent of its total ice mass per year. That is well below the accuracy of measurement. It is an estimate, and the conclusion it suggests is of no significance.

One may wonder about Greenland, with “only” 2.9 million cubic kilometers of ice, melting at an estimated rate of 270 gigatons per year. But that still yields a rate of loss of less than one one-hundredth of one percent per year, which is almost certainly below the ability to actually gauge total ice mass and total annual ice loss.

What about sea level rise? Here again, basic math yields underwhelming conclusions. The total surface area of the world’s oceans is 361 million square kilometers. If you spread 420 gigatons over that surface (Greenland and Antarctica’s melting combined), you get a sea level rise of not quite 1.2 millimeters per year. This is, again, so insignificant that it is below the threshold of our ability to measure.

These fundamental facts will turn anyone willing
to do even basic fact-checking into a cynic.

What’s really going on? We get at least a glimpse of truth from the above quotation from the World Bank, where they ascribe the challenges of humanity to several causes: “climate, conflict, economic, and nature crises.” There’s value in the distinctions they make. They list “nature crisis” as distinct from “climate,” and at least explicitly, “climate” is not cited as resulting from some anthropogenically generated trend of increasing temperatures and increasingly extreme weather. They just say “climate.”

Which brings us to the point: Conflict and economic crises are far bigger sources of human misery, and we face serious environmental challenges that have little to do with climate change and more to do with how we manage our industry, our wilderness, and our natural resources. And we are face “climate” challenges even when catastrophic climate events have nothing to do with any alleged “climate crisis.”

A perfect example of how the climate “crisis” narrative is falsely applied when, in fact, the climate-related catastrophe would have happened anyway is found in the disastrous floods that devastated Pakistan in 2022. Despite the doomsday spin from PBS (etc.), these floods were not abnormal because of “climate change.” They were an abnormal catastrophe because in just 60 years, the population of that nation has grown from 45 million to 240 million people. They’ve channelized their rivers, built dense new settlements onto what were once floodplains and other marginal land, they’ve denuded their forests, which took away the capacity to absorb runoff, and they’ve paved thousands of square miles, creating impervious surfaces where water can’t percolate. Of course, a big storm made a mess. The weather didn’t change. The nation changed.

The disaster story repeats everywhere. Contrary to the narrative, the primary cause is not “climate change.” Bigger tsunamis? Maybe it’s because coastal aquifers were overdrafted, which caused land subsidence, or because previously uninhabited tidelands were settled because the population quintupled in less than two generations, and because coastal mangrove forests were destroyed, which used to attenuate big waves. What about deforestation? Perhaps because these nations have been denied the ability to develop natural gas and hydroelectric power, they’re stripping away the forests for fuel to cook their food. In some cases, they’re burning their forests to make room for biofuel plantations, in a towering display of irony and corruption.

In California, our nation’s epicenter of climate crisis fearmongering and the subsequent commercial opportunism, the emphasis on crisis instead of resilience has led to absurd policies. Instead of bringing back the timber industry to thin the state’s overgrown forests, the governor mandates exclusive sales of EVs by 2035. Instead of responsibly drilling oil in California’s ample reserves of crude, California imports 75 percent of its oil, and its economy still relies on oil for half the energy that the state consumes.

Worldwide, these mistakes multiply. Biofuel plantations consume half a million square miles in order to replace a mere two percent of transportation fuel. A mad scramble across every continent to increase mining by an order of magnitude to meet the demand for raw materials to manufacture batteries, wind turbines, and solar panels. Denial of funds for natural gas development in Africa, condemning over a billion people to ongoing energy poverty.

Simple truths are obscured by the climate crisis narrative. We need to rebuild our infrastructure for climate resilience because much of it is over a century old, at the same time as the US population has tripled. Floods and hurricanes cause more damage because there are more people, and more of them live in areas that have always been hit by floods and hurricanes.

The truths are as endless as they are repressed. We can’t possibly lift all of humanity into a middle-class lifestyle without at least doubling energy production worldwide, and we can’t possibly accomplish that while also reducing our use of coal, oil, and gas. Renewables aren’t renewable (here’s a must-read on that topic). Offshore wind is an environmental disaster, as is biofuel, as is the explosion of totally unregulated mining to feed the renewables industry. On the other hand, extreme environmental laws and regulations are harming economic growth, freedom, and, in no small irony, the innovation and investment that would give us the wealth we need to better protect the environment. And the prevailing economic, environmental, and cultural challenge in the world is not the climate but crashing birthrates among developing nations at the same time as the population of the world’s most undeveloped nations continues to explode exponentially.

We need climate resilience in order to properly protect a global population that has quadrupled to 8 billion in just the last century, spreading to every corner of the earth. That goal would be easier if once-trusted global institutions would allow for honest debate and practical infrastructure development. Instead, they continue to spew transparently misleading climate crisis propaganda, adhering to a mission that can only be described as repressive on all fronts—culturally, economically, and environmentally.

 

Ocean Warms, Land Cools UAH February 2025

Posted on by Ron Clutz

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 was 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). Now we have had an usual El Nino warming spike of uncertain cause, unrelated to steadily rising CO2 and now dropping steadily.

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 2024 we have seen an amazing episode with a temperature spike driven by ocean air warming in all regions, along with rising NH land temperatures, now dropping below its peak.

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?

February 2025 Ocean Warms, Land Cools banner-blog

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 heard 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, continuing into 2024 peaking in April, then cooling off to the present.

UAH has updated their TLT (temperatures in lower troposphere) dataset for February 2025. Due to one satellite drifting more than can be corrected, the dataset has been recalibrated and retitled as version 6.1 Graphs here contain this updated 6.1 data.  Posts on their reading of ocean air temps this month are ahead of the update from HadSST4.  I posted recently on SSTs January 2025 Oceans Still Cool. These posts have 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. In July 2024 all oceans were unchanged except for Tropical warming, while all land regions rose slightly. In August we saw a warming leap in SH land, slight Land cooling elsewhere, a dip in Tropical Ocean temp and slightly elsewhere.  September showed a dramatic drop in SH land, overcome by a greater NH land increase. This month has contrasting warming in ocean air anomalies, especially in SH, somewhat offset by land air cooling especially in NH.

Note:  UAH has shifted their baseline from 1981-2010 to 1991-2020 beginning with January 2021.   v6.1 data was recalibrated also starting with 2021. In the charts below, the trends and fluctuations remain the same but the anomaly values changed 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 UAHv6.1 which are now posted for February 2025.  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.

 In 2021-22, SH and NH showed spikes up and down while the Tropics cooled dramatically, with some ups and downs, but hitting a new low in January 2023. At that point all regions were more or less in negative territory.

After sharp cooling everywhere in January 2023, there was a remarkable spiking of Tropical ocean temps from -0.5C up to + 1.2C in January 2024.  The rise was matched by other regions in 2024, such that the Global anomaly peaked at 0.86C in April. Since then all regions have cooled down sharply.  In February 2025, SH rose from 0.1C to 0.4C pulling the Global ocean air anomaly up from 0.3C to 0.5C.

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 February is below.

Here we have fresh evidence of the greater volatility of the Land temperatures, along with extraordinary departures by SH land.  The seesaw pattern in Land temps is similar to ocean temps 2021-22, except that SH is the outlier, hitting bottom in January 2023. Then exceptionally SH goes from -0.6C up to 1.4C in September 2023 and 1.8C in  August 2024, with a large drop in between.  In November, SH and the Tropics pulled the Global Land anomaly further down despite a bump in NH land temps. February showed a sharp drop in NH land air temps from 1.07C down to 0.56C, pulling the Global land anomaly downward from 0.9C to 0.6C.

The Bigger Picture UAH Global Since 1980

The chart shows monthly Global Land and Ocean anomalies starting 01/1980 to present.  The average monthly anomaly is -0.03, 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. Then in 2023 the buildup to the October/November peak exceeded the sharp April peak of the El Nino 1998 event. It also surpassed the February peak in 2016. In 2024 March and April took the Global anomaly to a new peak of 0.94C.  The cool down started with May dropping to 0.9C, and in June a further decline to 0.8C.  October went down to 0.7C,  November and December dropped to 0.6C. February is down to 0.5C.

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 HadSST4, but are now showing the same pattern. Despite the three El Ninos, their warming had not persisted prior to 2023, and without them it would probably have cooled since 1995.  Of course, the future has not yet been written.