UN Climatists Organized Assault Upon Dissenters

Susan Quinn reports in her American Thinker article Climate change advocates at the UN launch new organized assault against free speech and information.  Excerpts in italics with my bolds and added images.

For years, climate change “deniers” have been attacked and ridiculed because we don’t believe in the “science” of the left. Yet, invented “science” isn’t science, and too many scientists have cowed to it, incentivized by money or fear of being cancelled, and have climbed on the bandwagon.

More and more people, however, are realizing the scam
that’s been perpetrated and are speaking out.

And now, those who defend climate change caused by humans are furious and alarmed. To discourage dissenters to the progressive narrative, the UN stepped up to stop the “disinformation”, intending to ramp up the war against climate change “deniers”:

At the United Nations Climate Change Conference (COP30), held in Brazil in November 2025, several states endorsed the UN’s ‘Declaration on Information Integrity on Climate Change, an initiative recognizing and trying to combat the rise in climate disinformation in media and politics.’

The UN Declaration is professedly a pledge to ‘fight false information’ about climate change.

At first glance, the Declaration seems fairly innocuous. But if you read it carefully, it clearly condemns those who don’t agree with the UN agenda, demanding censorship of the opposition, largely through the media. Here is one of the listed commitments:

Promote and support the sustainability of a diverse and resilient media ecosystem through adequate policies to enable and ensure accurate and reliable coverage, specially, within this context, on climate and environmental issues, as well as policies on advertising transparency and accountability….

It is not the place of the UN to determine a limitation on discussion of climate change, or create a media network to censor opposing viewpoints or findings. And yet they persist in pursuing this agenda and insist that everyone fall in line. Desiree Fixler, an expert in sustainable finance and investment banking and a former member of the WEF’s Global Future Council on Responsible Investing turned whistleblower, identified the climate change crisis as a hoax:

Fixler, a whistleblower, used to work as a sustainability officer for Deutsche Bank, until she exposed their ‘greenwashing’ and was fired for it. Since then, she has been exposing the climate change narrative and the ‘net zero’ agenda as a scam. In a recent podcast, she explained how the UN and WEF agendas of net zero emissions and ‘stakeholder capitalism’ – a WEF concept – are means to gain control and implement socialism. ‘They’re lying to the public,’ Fixler recently said on the Winston Marshall podcast.

‘They’ve manufactured a climate crisis. There is climate change, but there is no climate crisis… asset managers, consultants, and governments… they’re all in on it because they all profit from it.’

Last year, Stanford University reported on a “rise” in new organizations pushing back against the left’s “climate change crisis” claims:

New Stanford-led research in PLOS One reveals a growing constellation of think tanks, research institutes, trade associations, foundations, and other groups actively working to oppose climate science and policy. The number of countries with at least one such ‘counter climate change organization’ has more than doubled over the past 35 years.

The researchers, in a roundabout way, recognize the aggressiveness of the left’s climate change policies in action to be a major factor for the pushback:

According to the Jan. 22 study, the two factors most closely linked to the formation of at least one counter climate change organization are the strength of a country’s commitment to protecting the natural environment and the level of formal organization in its social sector.

(As it turns out, people are less concerned with some unobservable boogeyman than they are with their utility bills and whether or not they can afford a car.)

An especially frustrating part of this story is that climate change adherents mischaracterize the position of the “deniers” who don’t deny that the climate is changing, but that there is inadequate scientific evidence to suggest that human beings are the source of those changes. This is a critical issue:

How can we consider stopping climate change when
we don’t have scientific data about what causes it?

All the warming since 1940s followed oceanic cyclical events.

Well-known scientists are finally speaking out against the UN censorship initiative:

Prominent voices, including Bjorn Lomborg, have criticized the UN’s stance, insisting that taxpayer-funded climate policies warrant thorough scrutiny, not censorship.

Lomborg contends that the UN’s agenda is not only misguided but runs the risk of economically damaging the very countries it claims to help, as evidenced by countries like Germany facing high energy costs amid aggressive climate goals.

We must take seriously the efforts of the UN to censor scientific debate, because the consequences could be dire:

The implications of this censorship extend far beyond the realm of energy policy, as it threatens foundational principles of democracy and free expression, calling into question the very nature of scientific and academic inquiry.

The controversy and debate must continue!

Canada Climate Policy Built on Corrupt Data

Tom Harris and Todd Royal explain why “official” temperature history from Canada government is distorted to invent warming where very little has actually ocurred.  Their article: Is Canada basing its climate policies on ‘decision-based evidence-making?’ Excerpts in italics with my bolds and added images.

Politicians want us to believe that they base their decisions on solid, verifiable evidence. “Evidence-based decision-making,” they call it. But what if the decision is made first and then the data is selected, or left uncorrected, in order to support the now politically correct decision? That would then be “decision-based evidence-making.” In other words, a complete corruption of honest decision-making.

It seems that Environment and Climate Change Canada (ECCC) is doing exactly that with the country’s temperature data in order to support the government’s mantra that Canada is “warming twice as fast as the global average.” For, if the one-degree anomalous spike in Canada’s “mean temperature” in 1998 is removed from the data, as even ECCC researchers themselves advocated previously should be done to preserve data integrity in cases like this, then Canada is not warming at all and much of the $200 billion spent on the climate file by the federal Liberal government since 2015 is a complete waste.

In 2021, Dr. Joseph Hickey, a data scientist with a PhD in Physics, specializing in complexity science, then an employee of the Bank of Canada, alerted ECCC to this one-degree jump in temperature data across much of Canada, and asked for an explanation. The below graphs of mean, maximum and minimum temperatures constructed with data from three Canadian cities—Moncton (on which Hickey illustrates the step change with red lines), Ottawa and Montreal—are samples of those created by Hickey using ECCC data downloaded on November 11, 2025, data that is the same as that he sent to ECCC researchers as an attachment to his email of June 24, 2021.


Ignoring their previous position about the need to remove such sudden discontinuities from the data, ECCC staff had little to say and left the anomaly in the record, asserting that it was “probably” a real sudden change in temperature.

Making matters worse, another Bank of Canada employee, economist Julien McDonald-Guimond, had already alerted ECCC by email on December 7, 2020, that he had found more than 10,000 instances of days for which the daily minimum temperature was greater than the daily maximum temperature. Again, ECCC staff had no reasonable justification.

With the Canadian government no longer his employer, so Hickey is now free to tell us all what has been going on behind the scenes. This Hickey did on December 23, 2025, when he published the blockbuster reportArtificial stepwise increases in homogenized surface air temperature data invalidate published climate warming claims for Canada.”

Dr. Hickey shows that, if you apply ECCC’s trend analysis method to their data, you find an increase of 1.74° C (which is statistically significant) from 1948 to 2018. And then, he tells us, if you correct for the one-degree step increase in 1998, you find only a 0.29°C rise. That small change “is indistinguishable from zero,” explains Hickey. “There is no evidence of warming.

Figure 7: Map showing Sr calculated using Tmean, for the break year 1998 with two five-year windows (1993-1997 and 1998-2002) for the 302 3rd generation AHCCD stations with sufficient data. Circle radius is proportional to the absolute value of Sr. Circle colour indicates Sr ranges as follows: blue: Sr < 0; black: 0 ≤ Sr ≤ 1; red: Sr > 1. Moncton, NB (Sr = 2.74) is indicated with a green circle, for reference.

In Figure 7, AHCCD stations with Sr < 0 are coloured blue, while black indicates 0 ≤ Sr ≤ 1, and red indicates Sr > 1. The AHCCD records with the largest stepwise increases at 1998 are located in Eastern and Central Canada (including the stations listed in Table A), and there are many records with discernible steps at 1998 in the Prairies (provinces of Manitoba, Saskatchewan, and Alberta) and the north of the country. British Columbia remains the main outlier, with most ofits AHCCD stations having no discernible steps at 1998.

Figure 8: Map of trend in Tmean over the period 1998-2018, for the 3rd generation AHCCD stations with sufficient data, calculated using linear least-squares fitting. Circle radius is proportional to the absolute value of the trend. Blue circles correspond to negative trends (trend < 0) and red circles to positive trends (trend > 0).

In Figure 8, the trend for a particular Tmean record is equal to the slope (°C/year) from a linear least-squares fit to its data for 1998-2018, times 21 years. An AHCCD station was considered to have sufficient data if its record had at least 350 days of non-missing daily data per year for every year from 1998 2018. Approximately two thirds of the AHCCD records with sufficient data have negative trends for 1998-2018 using linear least-squares fitting.

Summation

This report demonstrates Environment Canada’s dismissive response to being alerted to a large, apparently non-climatic artifact in its flagship temperature time-series product, an artifact which could, on its own, be responsible for essentially all of the calculated warming for many Canadian locations over the past six or seven decades. 

The said apparent artifact, referred to as the “1998 step-increase feature” in this report, is a stepwise increase of approximately 1°C in magnitude occurring at 1998 in the annual mean time-series of daily maximum, minimum, and mean temperatures for many stations across Canada in Environment Canada’s Adjusted and Homogenized Canadian Climate Data (AHCCD).

HadCRUT5 temperatures Predict ML CO2

Recently another researcher, Bernard Robbins, found similar causation between ML CO2 and SST fluctuations reported by NOAA Global SST dataset.  See More Evidence Temperatures Drive CO2 Levels, Not the Reverse.   

Previously I have demonstrated that temperature changes are predictive of changes in atmospheric CO2 concentrations.  That includes the remarkable GMT spike starting in January 2023 and rising to a peak in April 2024, then dropping down to end of 2025. The most recent study was Yearend 2025, Cooling Temperatures Reducing CO2 Rise  employing Mauna Loa CO2 data and UAH GMT data.

I noticed at WUWT my post was included in Weekly Climate and Energy News Roundup #674 with a comment attached: [SEPP Comment: The time period of the claimed lower CO2 rise is too short to be clear.] Now if that is referring to a table detailing the two variables during 2024 and 2025, I can understand it.  But it also disregards the complete study covering UAH satellite temperature changes clearly leading Mauna Loa CO2 changes over a period of 45 years.

Along with some comments on my blog, I wondered whether the entire ML record of CO2 levels could be predicted from global temperature changes, which would require a GMT dataset covering 1959 to the present.  This post shows that HADCRUT5 qualifies and indeed confirms other studies by researchers. I was particularly interested in the lack of warming in the 1960s and 70s, before the satellite temperature data became available.

The answer is yes: Just as temperature spikes result
in a corresponding CO2 spike as expected.  Cooler temperatures
are predictive of lower CO2 levels.

Above are HadCRUT5 temperature anomalies compared to CO2 monthly changes year over year during 65 years from 1959 to present.

Changes in monthly CO2 synchronize with temperature fluctuations, which for HadCRUT5 are anomalies referenced to the 1961-1990 period. CO2 differentials are calculated for the present month by subtracting the value for the same month in the previous year (for example December 2025 minus December 2024).  Temp anomalies are calculated by comparing the present month with the baseline month. Note the recent CO2 upward spike and drop following the temperature spike and drop.

The final proof that CO2 follows temperature due to stimulation of natural CO2 reservoirs is demonstrated by the ability to calculate CO2 levels since 1959 with a simple mathematical formula:

For each subsequent year, the CO2 level for each month was generated

CO2  this month this year = a + b × Temp this month this year  + CO2 this month last year

The values for a and b are constants applied to all monthly temps, and are chosen to scale the forecasted CO2 level for comparison with the observed value. The values for scaling HADCRUT5 and MLCO2 were “a” = 1.2 and “b” = 1.52 Here is the result of those calculations.

In the chart calculated CO2 levels correlate with observed CO2 levels at 0.9992 out of 1.0000.  This mathematical generation of CO2 atmospheric levels is only possible if they are driven by temperature-dependent natural sources, and not by human emissions which are small in comparison, rise steadily and monotonically.  For a more detailed look at the recent fluxes, here are the results since 2015, an ENSO neutral year.

For this recent period, the calculated CO2 values match well the annual lows, while some annual generated values of CO2 are slightly higher or lower than observed at other months of the year. Still the correlation for this period is 0.98

Footnote:

Hadcrut v5 offers a choice of two GMT data sets, one which infills grid cells lacking data and one which does not, compiling data only from cells with sufficient data.  The analysis here shows data from Hadcrut 5 Not Filled In, though results from the Filled In dataset are virually the same with a slight upward bias. The overall lower anomalies in UAH are due to a later baseline, 1991 to 2020.

Key Point

Changes in CO2 follow changes in global temperatures on all time scales, from last month’s observations to ice core datasets spanning millennia. Since CO2 is the lagging variable, it cannot logically be the cause of temperature, the leading variable. It is folly to imagine that by reducing human emissions of CO2, we can change global temperatures, which are obviously driven by other factors.

Background Post

Temps Cause CO2 Changes, Not the Reverse. 2024 Update

Summary:

The massive fluxes from natural sources dominate the flow of CO2 through the atmosphere.  Human CO2 from burning fossil fuels is around 4% of the annual addition from all sources. Even if rising CO2 could cause rising temperatures (no evidence, only claims), reducing our emissions would have little impact.

Atmospheric CO2 Math

Ins: 4% human, 96% natural
Outs: 0% human, 98% natural.
Atmospheric storage difference: +2%
(so that: Ins = Outs + Atmospheric storage difference)

Balance = Atmospheric storage difference: 2%, of which,
Humans: 2% X 4% = 0.08%
Nature: 2% X 96 % = 1.92%

Ratio Natural : Human =1.92% : 0.08% = 24 : 1

December 2025 All Ocean SSTs Cool to Mean

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.

Previously I used HadSST3 for these reports, but Hadley Centre has made HadSST4 the priority, and v.3 will no longer be updated. I’ve grown weary of waiting each month for HadSST4 updates, so the July and August reports were based on data from OISST2.1.  This dataset uses the same in situ sources as HadSST along with satellite indicators. Now however, the US government is shut down and updates to climate datasets are likely to be delayed.  Reminds of what hospitals do when their budgets are slashed: They close the Maternity Ward to get public attention.

This December report is based again on HadSST 4, but with a twist. The data is slightly different in the new version, 4.2.0.0 replacing 4.1.1.0. Product page is here.

The Current Context

The chart below shows SST monthly anomalies as reported in HadSST 4.2 starting in 2015 through December 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 and cooling in 2025.

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 in 2023, ~0.3° higher than the 2015 peak.  Then NH started down autumn 2023, followed by Tropics and SH descending 2024 to the present. During 2 years of cooling in SH and the Tropics, the Global anomaly came back down, led by Tropics cooling from its 1.3°C peak 2024/01, down to 0.6C in September this year. Note the smaller peak in NH in July 2025 now declining along with SH and the Global anomaly cooler as well. In December the Global anomaly exactly matched the mean for this period, with all regions converging on that value, led by a 6 month drop in NH.  Essentially, all the warming since 2015 is now gone.

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

To enlarge, open image in new tab.

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

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

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

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

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

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, with little change in May,June and July despite upward bumps in NH. Now temps in all regions have cooled led by NH from August through December 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 reached 1.4C before declining to 0.9 last month.  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 headed sharply downward, well below the previous two years, then since April through September aligning with 2010. In October there was an unusual upward spike, now reversed down to match September 2025.

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

The rose line is the average anomaly 1982-1996 inclusive, value 0.18.  The orange line the average 1982-2025, value 0.41 also for the period 1997-2012. The red line is 2015-2025, value 0.74. 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?

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

USS Pearl Harbor deploys Global Drifter Buoys in Pacific Ocean

UAH Cooling Everywhere December 2025

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 back toward normal values.

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 ~65 ppm, an 18% 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 well 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?

December 2025 UAH Temps: Cooling Everywhere Led by SH 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 December 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 the update from HadSST4 or OISST2.1.  I posted recently on SSTs October 2025 Ocean SST Cools to Mean 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.  Now in November and December SH land temps have spiked while ocean temps showed litle change.  As a result of larger ocean surface, Global temps remained cool.

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 December 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. In May drops in NH and Tropics pulled the air temps over oceans down despite an uptick in SH. At 0.43C, ocean air temps were similar to May 2020, albeit with higher SH anomalies. Now in November/December all regions are cooler, led by a sharp drop in SH bringing the Global ocean anomaly down to 0.02C. 1/4 of what it was in April 2024.

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 December 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. Some ups and downs followed with returns close to February values in August.  A remarkable spike in October was completely reversed in November/December, along with NH dropping sharply bringing the Global Land anomaly down to 0.52C, half of its peak value of 1.17C 09/2024.

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 -0.02 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.In August Global Land and Ocean went down to 0.39C, then rose slightly to 0.53 in October.

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.

Yearend 2025, Cooling Temperatures Reducing CO2 Rise

2025 ended with a steadily declining rate of rising CO2 in the atmosphere following a 20 month cooling since April 2024, peak of an unusual and unexplained warming spike.  Historical records show that around 1875 was the coldest time in the last 10,000 years.  That was the end of the Little Ice Age (LIA), and since then temperatures have warmed at an average rate of about 0.5C per century.  The recovery of the biosphere and ocean warming resulted in rising levels of CO2 in the atmosphere.

Syun-Ichi Akasofu, founder of the University of Alaska Fairbanks’ Geophysical Institute reported on this pattern in 2009.

At times, there are warming spikes, in the 1930s and 40s for example, and the rate of rising CO2 goes up. At other times, such as 1950s and 60s, temperatures cool, and rising CO2 slows down. More recently, in 2023 and 24, we saw  temperatures spike up before falling back down in 2025. [Note: A study of ocean biochemistry processes confirms that since the end of the LIA rising temperatures have been accompanied by rising CO2 at a rate of ~2 ppm per year. [ See: Slam Dunk: Δtemp Drives Δco2, Ocean Biochemistry at Work ]

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.

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 well below its peak.

Previously I have demonstrated that changes in atmospheric CO2 levels follow changes in Global Mean Temperatures (GMT) as shown by satellite measurements from University of Alabama at Huntsville (UAH). A  link to that background post is provided later below.

My curiosity was piqued by the remarkable GMT spike starting in January 2023 and rising to a peak in April 2024. GMT has declined steadily, and now 20 months later, the anomaly is 0.30C down from 0.94C.  I also became aware that UAH has recalibrated their dataset due to a satellite drift that can no longer be corrected. The values since 2020 have shifted slightly in version 6.1, as shown in my recent report UAH Ocean Stays Cool, SH Land Warms, October 2025, The data here comes from UAH record of temperatures measured in the lower troposphere (TLT).

This post updates the analysis with the complete observations for 2025, testing the premise that temperature changes are predictive of changes in atmospheric CO2 concentrations.  The chart at the top shows the two monthly datasets: CO2 levels in blue reported at Mauna Loa, and Global temperature anomalies in purple reported by UAHv6.1, both through December 2025. Would such a sharp increase in temperature be reflected in rising CO2 levels, according to the successful mathematical forecasting model? Would CO2 levels decline as temperatures dropped following the peak?

The answer is yes: that temperature spike resulted
in a corresponding CO2 spike as expected.
And lower CO2 levels followed the temperature decline.

Above are UAH temperature anomalies compared to CO2 monthly changes year over year.

Changes in monthly CO2 synchronize with temperature fluctuations, which for UAH are anomalies referenced to the 1991-2020 period. CO2 differentials are calculated for the present month by subtracting the value for the same month in the previous year (for example December 2025 minus December 2024).  Temp anomalies are calculated by comparing the present month with the baseline month. Note the recent CO2 upward spike and drop following the temperature spike and drop.

The table below shows clearly the pattern of observed temperatures declining along with declining rates of rising observed CO2. The CO2 rate peaked at 4.41 ppm, then declined over the next 21 months to 2.09 ppm, nearly the baseline rate since the LIA. There are fluctuations in the CO2 monthly response since the differential is influenced by the previous year as well as current year.  By 2025/12, the rate of 2.09 ppm was less than half the peak rate of 4.41 ppm.

Month temperature anomaly co2 Diff. from previous year
2024\1 0.79 3.32
2024\2 0.86 4.23
2024\3 0.87 4.41
2024\4 0.94 3.14
2024\5 0.78 2.87
2024\6 0.70 3.25
2024\7 0.74 3.72
2024\8 0.75 3.31
2024\9 0.80 3.53
2024\10 0.73 3.56
2024\11 0.64 3.39
2024\12 0.62 3.54
2025\1 0.46 3.85
2025\2 0.50 2.54
2025\3 0.58 2.77
2025\4 0.61 3.13
2025\5 0.50 3.61
2025\6 0.48 2.70
2025\7 0.36 2.32
2025\8 0.39 2.49
2025\9 0.53 2.34
2025\10 0.53 2.49
2025\11 0.43 2.61
2025\12 0.30 2.09

The final proof that CO2 follows temperature due to stimulation of natural CO2 reservoirs is demonstrated by the ability to calculate CO2 levels since 1979 with a simple mathematical formula:

For each subsequent year, the CO2 level for each month was generated

CO2  this month this year = a + b × Temp this month this year  + CO2 this month last year

The values for a and b are constants applied to all monthly temps, and are chosen to scale the forecasted CO2 level for comparison with the observed value. Here is the result of those calculations.

In the chart calculated CO2 levels correlate with observed CO2 levels at 0.9988 out of 1.0000.  This mathematical generation of CO2 atmospheric levels is only possible if they are driven by temperature-dependent natural sources, and not by human emissions which are small in comparison, rise steadily and monotonically.  For a more detailed look at the recent fluxes, here are the results since 2015, an ENSO neutral year.

For this recent period, the calculated CO2 values match well the annual highs, while some annual generated values of CO2 are slightly higher or lower than observed at other months of the year. Still the correlation for this period is 0.9942.

Key Point

Changes in CO2 follow changes in global temperatures on all time scales, from last month’s observations to ice core datasets spanning millennia. Since CO2 is the lagging variable, it cannot logically be the cause of temperature, the leading variable. It is folly to imagine that by reducing human emissions of CO2, we can change global temperatures, which are obviously driven by other factors.

Background on Analytics and Methodology

 

Temps Cause CO2 Changes, Not the Reverse. 2024 Update

Slam Dunk: Δtemp Drives Δco2, Ocean Biochemistry at Work

Peter Smith explains in his Quadrant article Shunned by Sanctitudinous Science.  Excerpts in italics with my bolds and added images.  Synopsis of Ivan Kennedy paper follows later.

When coffeeing with a group of conservative friends as I do on Fridays, one of our number, Professor Emeritus Ivan Kennedy, said something to the effect that there were no scientific alternative theories to the IPCC’s explanation of global warming except for his.

I was taken aback. Surely, even within my limited knowledge, William Happer (Princeton) and Richard Lindzen (MIT) hypothesise that the effect of CO2 on warming progressively declines. Nobel Prize winner Dr John Clauser hypothesises that reflective cumulus clouds created by water vapour, engendered by modest warming, act as a thermostat to keep global temperatures down. You can read about it here if you wish. So what is going on?

Let me start by dismissing the canard that global warming is an invention. Sure, maybe the so-called ‘homogenisation’ of past land and sea temperature data has artificially steepened the warming record since the 1940s. But, for all that, the NOAA satellite data since the end of 1979 shows that the temperature in the sub-troposphere has trended up by about 0.7⁰C between December 1979 and December 2024. As this data has been compiled by Roy Spencer and John Christy (sceptical scientists) at the University of Alamba in Huntsville, we can safely assume it is trustworthy.

So the climate has warmed. Now should come the scientific fun.
Competing theories jostling to best explain the data. No such fun.
Blaming exploitative Western man has proved to be a sacrosanct hypothesis.

Sacrosanctity and science don’t mix. Many past theories propounded by scientific giants have eventually failed the test: Ptolemy’s geocentric theory of the solar system; Aristotle’s theory of gravity, even Newton’s. Yet a tenuous theory of the climate concocted by relative mediocrities, which hasn’t come close to accurately predicting global temperatures, is holy writ. Risible, except that political and celebrity buy-in is undoing progress wherever it results in the replacement of reliable with unreliable energy. Think of Australia as a quintessential case study.

Happily, despite powerful and well-funded forces out to cancel dissenters, maverick scientists keep on stirring the pot. Which brings me back to Prof. Kennedy and his collaborators. Their hypothesis can be found here. In lay terms it goes like this:

The increased concentration of CO2 in the atmosphere since the 1960s has been caused by warming not the reverse. Other things equal, emissions by mankind of CO2 are all absorbed by the land (hence the greening) and by the oceans. Thus, on this account, there is no material net increase of CO2 in the atmosphere from fossil fuel emissions. Ergo, such emissions cannot be the cause of warming. It is true that warming has occurred, and that atmospheric CO2 has risen. The underlying chain of events is as follows.

Warming, perhaps through solar activity, promotes the precipitation of calcium carbonate (limestone) in surface sea water, absorbing CO2 from the atmosphere in the process. In turn, the absorbed CO2, magnified by calcium carbonate precipitation, acidifies surface sea water. The acidification then results in the emission of CO2 into the atmosphere in autumn and winter. This emission of CO2 is greater than the absorption, precisely because of the continuing acidification in the warming water.

In the end we see increased atmospheric CO2 and warming.
It is easy to draw the wrong conclusion. Indeed, the IPCC has done so.

I see the point about Kennedy’s hypothesis being singularly different from other alternative hypotheses. Lindzen’s and Happer’s hypothesis, and Clauser’s, embrace the foundational proposition of the received theory, albeit in muted form. Namely, that man-made CO2 is adding to atmospheric CO2, thereby having a greenhouse effect. Kennedy’s hypothesis does not embrace that proposition.

Whether Kennedy is right (or Lindzen and Happer or Clauser) is by the way. Alternative hypotheses are in the skeptical scientific tradition of searching for theories which better explain the facts than does the received theory. That is particularly important in this case. The received theory is upending life as we know it, while being shielded from rival theories by money, politics and pseudo-religiosity.

The paper by Ivan Kennedy et al. is A Thermal Acid Calcification Cause for Seasonal Oscillations in the Increasing Keeling Curve . Synopsis below with excerpts in italics with my bolds and added images.

Abstract:

Why do atmospheric carbon dioxide levels rise and fall seasonally measured on Mauna Loa? This study explores the thermal acid-calcification (TAC) hypothesis, suggesting that seasonal temperature shifts in surface seawater trigger acid pH-driven CO₂ emissions caused by calcification. Using oceanographic data, we modeled how temperature affects dissolved inorganic carbon including CO₂, bicarbonate, and carbonate.

Our findings reveal that warming waters absorb atmospheric CO2 by promoting calcium carbonate formation, acidifying seawater and boosting CO₂ release to the atmosphere in late autumn and winter, when atmospheric CO₂ becomes highest. The model predicts a net annual CO₂ rise of 2 ppmv, driven by calcification rather than land-based processes. Seasonal pH swings of 0.04 units corroborate this mechanism. The TAC hypothesis indicates that continued ocean warming, not just fossil fuels, contribute to rising CO₂ levels, calling for deeper investigation into marine carbon dynamics.

The Keeling Curve for atmospheric pCO2 in parts per million by volume

Fig. 1. The Keeling curve of atmospheric CO2 partial pressure at 3200 m on Mauna Loa, Hawaii. Data from Dr. Pieter Tans, NOAA/ESRL and Dr.Ralph Keeling, Scripps Institution of Oceanography.CC BY-SA

The very stuff of plant life on Earth in photosynthesis as well as in the structural basis of all living creatures, we are told by the United Nations Intergovernmental Panel on Climate Change (IPCC) (2) that the continuing rise of CO2 in the Keeling curve shown in Figure 1 now threatens global catastrophe from global warming. Such a paradoxical contrast for good and bad lacks credibility, given the longevity of life on Earth.

Transfers of CO2 out of the ocean surface in winter versus that entering in summer

We propose that a quasi-equilibrium exists between a falling pH value in surface water, favoring CO2 emisssion. Falling pH values in the surface water of the oceans have been an enigma, invisible to scientific view until recently after the year 2000. Our logic is supported in our articles (3, 4) where we describe the basis for the thermal acid-calcification (TAC) hypothesis, also using data cited from others. Acidic calcification is thermodynamically favored in warming surface seawater, particularly in northern oceans in spring and summer with shallow mixing zones and higher temperature ranges. This raises the fugacity or potential pressure of CO2 in seawater to its peak value in summer when the pCO2 in air is minimal, causing its forceful emission into air in the next autumn reaching a maximum pCO2 in late winter (Fig. 1, seasonal variation insert). 

Fig. 2. Thermal acid-calcification model for seasonal and longer-term generation of the Keeling curve. The Thermal model (3), showed calcification is favored by increase in temperature giving decreasing pH values in summer, reversing in cooler conditions to more alkaline pH in winter. Note that precipitation of CaCO3 in spring to summer removes CO32- that is replaced from HCO3 – with more acidity, provided by absorption of CO2 from air up to October. However, as the pH falls the steady state concentration of [CO2} increases favoring photosynthesis.

Acid calcification is essential for phytoplankton

Any process of strong acidification of surface seawater will raise the concentration of carbon dioxide as [CO2] available to phytoplankton for photosynthesis. Bicarbonate cannot be a direct substrate for photosynthesis although the presence of the enzyme carbonic anhydrase speeds up its interconversion with CO2. Our published modeling analysis confirmed that CaCO3 precipitation is strongly favored by warmer temperatures (Table 1). Indeed, all the reaction equilibria in seawater are displaced to the right in Figure 2 acidifying the water, although the equilibrium between CO2 concentration and pCO2 in air favors a lower concentration [CO2} in water in summer, compared to winter, when it is greatest. Our results even confirmed that the formation of CaCO3 as calcite is predicted to increase in summer as water becomes warmer (Table 1b).

Thus, we can expect more limestone formation in summer if the carbonate concentration reaches a sufficient level, favored by added warming. The decline in average pH values in surface seawater to about 8.05 from pH 8.20 could explain the increased pCO2 in the atmosphere of 140 ppmv since 1800 as a matter of dynamic equilibrium. Caused by calcification, this would require a simultaneous equivalent deposition of limestone as sediment, though only an increase of about 10 μmoles per kg of surface seawater, or a net 1 mg per kg each year. This is a key prediction for experimental testing of the TAC hypothesis.

This fully reversible calcification equation moves towards acidification in summer and reverses to alkalinization in winter. The psi factor is a variable function of the range of seasonal changes in temperature. However, the greatest thermodynamic potential to emit CO2 in seawater by acidification of bicarbonate (HCO3-) is when the pH value is lowest, the conversion of bicarbonate to CO2 generating the greatest difference between CO2 fugacity in seawater and that in air in midsummer in northern hemisphere waters. The seasonal variation near Mauna Loa in atmospheric pCO2 is about 6 ppmv whereas the long term increase in the Keeling curve year by year is one third of this, about 2 ppmv suggesting that in spring and summer the CO2 absorbed in about 2 ppmv, less than that emitted in autumn and winter.

Fig. 5. Rates per square meter in global carbon cycling between land water, the atmosphere, and the ocean, illustrating the pH-acidification hypothesis. Emissions and absorptions shown are average moles per square meter of the Earth, for a mixing ratio of 420 ppmv in 2021 shown in the central column bridging land and ocean. The land acidification values are derived elsewhere (11), assuming photosynthesis is equal to respiration. The terrestrial area of Earth is 1.48×1014 m-2 , the ocean’s area is 3.62×1014 m2 , 5.101 x1014 m2 in total., represented as a mean value in the central air column.

Discussion

Limestone as a product of calcification is regarded as a biogeochemical product, given that phytoplankton and other marine organisms enhance its rate of production, if nutrients are available (3). In particular, the extracellular carbonic anhydrase apparently speeds the reversible dehydration of CO2, forming bicarbonate and hydrated hydrogen ions (H+) controlling pH. This article emphasizes that the reversible dehydration of CO2 in surface seawater allowing transfer between aqueous and gaseous phases is most rate limiting of all, that carbonic anhydrase may even assist in autumn and winter, transferring CO2 to the atmosphere.

More significantly for managing climate change, if fossil fuel emissions are being largely absorbed by sequestration into the ocean surface and by ‘greening’ photosynthesis on land and in the ocean (11), the implications of this aspect of the TAC hypothesis for carbon-zero policies and renewable energy are profound.

The thermal acid-calcification hypothesis predicts that global warming
acidifies the ocean surface by increasing calcification causing
pCO2 to increase, independently of fossil emissions.

Furthermore, this represents a striking illustration of the Le Chatelier principle, the carbon cycle on Earth responding intelligently to changing climate. The hope that carbon dioxide removal as sequestration (14), either biologically, chemically or geologically, by burial after capture, will prove futile. 

The uncertainty of the current IPCC paradigm regarding climate change and the role of fossil emissions of CO2 in warming is large, lacking scientific evidence. A plausible alternative hypothesis offered here as the true cause of the increasing Keeling curve needs to be investigated urgently. This new model would still give predictively increasing emissions from the ocean in the complete absence of fossil fuel emissions because the acidification from calcification is purely a function of surface warming, from whatever cause.

See Also

Yearend 2025, Cooling Temperatures Reducing CO2 Rise

Key Point

Changes in CO2 follow changes in global temperatures on all time scales, from last month’s observations to ice core datasets spanning millennia. Since CO2 is the lagging variable, it cannot logically be the cause of temperature, the leading variable. It is folly to imagine that by reducing human emissions of CO2, we can change global temperatures, which are obviously driven by other factors.

Be Grateful for the Warming We Have

A reminder that we are presently in the icy end of the Holocene epoch comes in a CBC story Canada’s High Arctic was once a lush forest where unexpected animals roamed.  Excerpts in italics with my bolds and added images.

Camels and beavers that evolved in ancient forests in the Far North
were perfectly adapted for our world today

Modern camels descend from giant High Arctic camels that lived in Canada’s North before the Ice Age. (Global Mechanic/Courtesy of Handful of Films)

By Niobe Thompson, director of Frozen in Time

When you think of the Canadian High Arctic today, visions of frozen tundra, icefields and polar bears probably come to mind. But rewind the clock a little over two million years to before the last ice age, and that Northern tundra was a lush and vibrant forest paradise. It was also home to some surprising animal life, including one large mammal we now associate with scorching deserts: camels.

In Frozen in Time, a documentary from The Nature of Things, paleobiologist Natalia Rybczynski describes how a head injury in 2011 changed the way she had to live. It also gave her time to think about many fossils she and her team at the Canadian Museum of Nature have uncovered of the animals that once roamed the Far North.

A remarkable discovery

The Pliocene Epoch, spanning from 2.5 to 5 million years ago, was the warm period before the last ice age began. The Pliocene was the last time Earth’s atmosphere contained the same concentration of carbon dioxide that we see today: over 400 parts per million.

At the time, temperatures in the High Arctic were also about 22 C higher than today, Rybczynski says in the documentary — a climate much like we see in modern boreal forest in Canada. As a result, the Arctic was covered in birch, larch, pine and even cedar trees, blanketing the landscape all the way to the northern shores of Ellesmere Island and Greenland.

These dense forests were home to many of the animals we now associate with the Pliocene, such as mammoths and mastodons, but also those found in modern boreal habitats: beavers, bears, geese, horses and caribou.

From 2006 to 2009, a research team led by the Canadian Museum of Nature discovered 30 camel fragments on Ellesmere Island in Nunavut. Scientists dated the remains to 3.5 million years, the mid-Pliocene Epoch, a global warm phase when the region was cloaked in boreal forest. Collagen fingerprinting, a cutting-edge science pioneered at the University of Manchester in England, confirmed that the bones belonged to a camelid.

And in 2013, a team of scientists led by Rybczynski announced a remarkable discovery. At the site of an ancient Pliocene river on Ellesmere Island called Fyles Leaf Beds, they uncovered fragments of a leg bone belonging to a 3.5-million-year-old camel. The find made headlines around the world and suggested that modern camels descended from a High Arctic ancestor.

Evolved in the Arctic, perfect for the desert

High Arctic camels were giant versions of modern camels, and they evolved in a forest world unlike any we know today. Because they lived close to the North Pole, the sun would disappear for nearly half the year, before shining down for nearly 24 hours a day during the polar summer.

Many of the features of the camel that help them survive in deserts today may have originated as adaptations to this punishing environment, Rybczynski says in Frozen in Time.

Their hump — a specialized fat deposit — would have helped them through long, cold winters. Camels have excellent night vision, handy when it is dark for almost half the year. And their wide feet that work so well in sand today would have been perfect in snow 3.5 million years ago.

The desert camel, the habits of beavers, bear hibernation, fall colours — all features of the natural world today that may have evolved in the weird Arctic forest world that came to an end with the encroaching glaciers of the last ice age.

“For me, it’s hard to stop imagining all those natural features of our environment, all passed down from a hotter past when forests could grow in the Arctic,” Rybczynski says in the documentary.

“In so many ways, the lost forests of the High Arctic were kind of like a Garden of Eden — the cradle of our boreal forest ecosystem today.”

See Also

No Right to Stable Climate in Our Holocene Epoch

 

OISST Updates: Ocean SST Cooling Confirmed

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.

Recently I posted on SST data from HadSST4 since the US shutdown stopped other SST sources. Now OISST is back online, so this report is based on data from OISST2.1.  This dataset uses the same in situ sources as HadSST along with satellite indicators.  Importantly, it produces daily anomalies from baseline period 1991-2020.  The data is available at Climate Reanalyzer (here).  Product guide 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 OISST2.1 starting in 2015 through October 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 and cooling in 2025.

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 0.6°C in 2023, ~0.2° higher than the 2015 peak.  Then NH started down autumn 2023, followed by Tropics and SH descending 2024 to the present. During nearly 2 years of cooling in SH and the Tropics, the Global anomaly came back down, led by Tropics cooling the last 22 months from its 0.9°C peak 2024/01 down to 0.26C in October this year. SH and NH also cooled Sept./Oct. pulling the Global anomaly down to 0.42C, just 0.1C above the average for this decadal period.

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

To enlarge, open image in new tab.

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

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

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

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

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

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.  The descending sawtooth in all regions continued through Sept./Oct.

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 reached 1.4C before declining to 0.9 last month.  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 headed sharply downward, well below the previous two years, then since April through September aligning with 2010, with an upward bump in October 2025.

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

The rose line is the average anomaly 1982-1996 inclusive, value -0.25.  The orange line the average 1982-2025, value -0.014 also for the period 1997-2012. The red line is 2015-2025, value 0.32. 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?

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

USS Pearl Harbor deploys Global Drifter Buoys in Pacific Ocean

Glaciermania Strikes Again–2025 International Year of Glaciers

UN is sounding alarms about glaciers, and media is amplifying as usual.

Climate emergency: 2025 declared international year of glaciers, UN News

Climate change is shrinking glaciers faster than ever, AP

Glaciers Are Melting Twice as Fast as Predicted and We’re Not Ready,  Science News Today

1st glacier declared dead from climate change seen in before and after images, Live Science

Nearly 40% of the world’s glaciers are already doomed, CNN

Nearly Half of Earth’s Glaciers Are Already Doomed, Even Without Future Warming, SciTechDaily

World’s Melting Glaciers Threaten Food and Water Supply for 2 Billion People, Carbon Brief

Glaciers on the Brink: UN Calls for Bold Action, Climate Fact Checks

This short video puts this alarm into perspective. Additional detail is provided by Dr. John Happs in his article Glaciers And Ice Sheets: Here Today And Here Tomorrow.  Dr. Happs comments on many glaciers around the world, this post has only some excerpts in italics with my bolds and added images.

How often do the climate alarmists tell us that few glaciers still exist because of (imaginary) global warming and those that remain are rapidly melting away? Not surprisingly, the alarmists, particularly those from the media and vested interest groups, always point to the Intergovernmental Panel on Climate Change (IPCC) computer model projections, referring to one in particular–the Representative Concentration Pathway (RCP8.5.)

Even the political/ideological IPCC has sensibly branded RCP8.5 as “Highly Unlikely”

So, what are the glacier numbers?

  1. There are more than 200,000 alpine/valley (land-based) glaciers and many others stemming from the ice sheets of Antarctica and Greenland.
  1. Glaciers have advanced, retreated and halted many times over the last 400,000 years being influenced not only by temperature but also by other factors, such as wind, precipitation, altitude, latitude, aspect, topography and slope angle.

Global temperature is often promoted, usually by naïve climate alarmists, as the only important input into glacier formation, growth and retreat yet, in very dry parts of Antarctica, where low temperatures are seemingly ideal for glacier growth, the small amount of net annual precipitation results in glaciers growing very slowly, or even diminishing in size.

Glaciers can also be influenced by sublimation or the transition of a substance directly from the solid to the gas phase. Glaciers can experience this process resulting in the “evaporation” of ice, exacerbated by wind action. Sublimation can be seen in the way that ice cubes left in the freezer will shrink over time.

More than 18,000 glaciers have been identified across 50 World Heritage sites but this represents less than 10% of the Earth’s glaciated area. The media, climate activists and vested interest groups like to argue that all glaciers are receding because global temperature is increasing. Not surprisingly, many glaciers have been retreating since we emerged from the Little Ice Age (1250-1850), a time when many farms and houses across Scandinavia were destroyed by advancing glaciers between the 14th and 19th centuries.

We might expect that glaciers and ice sheets would recede after the Little Ice Age yet we know that glaciers in many parts of the world are advancing, with glaciers growing in the Alps, North America, Patagonia, Antarctica, Alaska, the Himalayas, China, Iceland, Greenland, New Zealand, Norway, Antarctica and Greenland.

Where glaciers reach the sea, the media, and some tour guides, like to promote the dramatic calving-glacier image as pointing to (imaginary) global warming but fail to point out (perhaps they don’t know) that a calving glacier is the sign of an advancing inland glacier and certainly not one that is about to disappear.

In his silly, but influential, 2005 movie “An Inconvenient Truth” Al Gore said:

“Within the decade, there will be no more snows of Kilimanjaro.”

Mount Kilimanjaro is still covered in snow.  See False Alarm over the Retreat of the Himalayan Glaciers

“The speed and consequences of Himalayan glacial retreat have been grossly exaggerated by the media and environmental activists.”

A significant proportion of Himalayan glaciers are advancing. In fact, 58% of glaciers examined in the westerly Karakoram range, a chain of snowy peaks along the border of India, Pakistan and China, were stable or advancing with annual snowfall increasing. A study of Himalayan glaciers, published in the American Meteorological Society’s Journal of Climate reported that cooler summers are failing to melt winter snows, which are themselves becoming more frequent, resulting in advancing glaciers. Source: Live Science

GLACIERS/ICE SHEETS IN ANTARCTICA

The Antarctic ice sheet is the world’s largest mass of ice covering around 14 million sq. km.

Ice sheets can be described as glaciers that cover very large areas and the most obvious examples are found in Greenland and Antarctica where around two-thirds of the Earth’s fresh water is stored.

Alarming reports that the Antarctic ice sheet is rapidly melting misrepresent the science of a very complex situation. Antarctica has been ice-covered for at least 30 million years. The ice sheet holds over 26 million gigatonnes of water (a gigatonne is a billion metric tons). If it were to melt completely, sea levels would rise 60 metres. Such a change is many millennia in the future, if it happens at all, although climate alarmists will always claim that such a response is just around the corner because of (imaginary) global warming.

Modest ice loss is normal in Antarctica.  Each year in summer, more than 2,000 gigatonnes of ice is discharged in the form of melt and icebergs, while snowfall additions keep the ice mass in equilibrium.

Summary

So it is a familiar story. A complex naturally fluctuating situation, in this case glaciers, is abused by activists to claim support for their agenda. I have a lot of respect for glaciologists; it is a deep, complex subject, and the field work is incredibly challenging. And since “glacial” describes any process where any movement is imperceptible, I can understand their excitement over something happening all of a sudden.

But I do not applaud those pandering to the global warming/climate change crowd. They seem not to realize they debase their own field of study by making exaggerated claims and by “jumping the shark.”
Meanwhile real scientists are doing the heavy lifting and showing restraint and wisdom about the limitations of their knowledge.

Resources:

Redressing Antarctic Glacier Porn

Greenland Ice Varies, Don’t Panic 2023 Update

Climatists’ Childish Reading of Polar Ice

Figure 1. A comparison of presentations of satellite data capturing Greenland’s ice mass loss. The image on the right shows changes in Greenland’s ice mass relative to Greenland’s total ice mass. Sources: The data plotted in these graphs are from the Ice Sheet Mass Balance Inter-Comparison Exercise, a joint exercise by NASA and the European Space Agency.4 Graphs originally by Willis Eschenbach. Adapted and annotated by Anthony Watts.