Day of Liberation from UN Climate Entities (among others)

CNN explains the Presidential actions taken yesterday in article Trump moves to pull US out of bedrock global climate treaty, becoming first country to do so.  Excerpts in italics with my bolds

The agreement in question is the United Nations Framework Convention on Climate Change, or UNFCCC, which the US joined and Congress ratified in 1992, when George H.W. Bush was in the White House. The agreement does not require the US to cut fossil fuels or pollution, but rather sets a goal of stabilizing the amount of climate pollution in the atmosphere at a level that would “prevent dangerous anthropogenic (human-caused) interference with the climate system.”

It also set up a process for negotiations between countries that have come to be known as the annual UN climate summits. It was under the UNFCCC’s auspices that the Kyoto Protocol was negotiated in 1995, and the Paris Agreement in 2015 — two monumental moments of global cooperation and progress toward limiting harmful climate pollution.

In addition, the agreement requires the submission of an annual national climate pollution inventory, which the Trump administration notably skipped this year.

President Trump withdrew the US from the Paris Agreement for a second time on his first day in office. With Wednesday’s move, the US will now become the first country to withdraw from the climate treaty, since virtually every country is a member, according to the Natural Resources Defense Council, an environmental group.

Because the Senate ratified the UNFCCC in 1992, it is a legal gray area as to whether President Donald Trump can unilaterally pull the country out of it. However, if Congress plays a role, the Republican majority would presumably back the move.

If successful, the withdrawal would prevent the US from officially participating in subsequent annual climate summits and could call into question the country’s commitment to other longstanding agreements to which it is a party. It may also prompt other nations to reevaluate their commitments to the UNFCCC and UN climate talks, risking not just US climate progress but that of others.

A US withdrawal could make it difficult for a future president to rejoin the Paris Agreement, since that agreement was struck under the auspices of the UNFCCC.

Trump also moved to withdraw the US from the UN Intergovernmental Panel on Climate Change, or IPCC — a Nobel Prize-winning group that publishes reports on global warming. While the president likely can’t bar US scientists from participating in IPCC reports, the move could have ramifications for federal scientists who would otherwise contribute.  A White House fact sheet stated:

“Many of these bodies promote radical climate policies, global governance, and
ideological programs that conflict with U.S. sovereignty and economic strength.”

So, it’s a trifeca: UNFCC, IPCC, and Paris Accord

“The Paris Parrot is not dead, it’s just resting.”

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

Arctic Ice Recovering 2025 Yearend

The Arctic ice extents are now fully reported for 2025, ending the year below average despite a higher rate of growth through December.

Note MASIE 2025 started 1M km2 (or 1 Wadham) below the 19 year average, but cut the deficit to 428k km2, or a gap of 3%. SII v.4 tracked lower than MASIE during December, drawing closer the last week. The chart below shows the distribution of ice extent across the Arctic regions at yearend 2025.

Region 2025365 Day 365 Average 2025-Ave. 2024365 2025-2024
 (0) Northern_Hemisphere 12611676 13039302 -427626 12435177 176499
 (1) Beaufort_Sea 1071070 1070458 612 1071001 69
 (2) Chukchi_Sea 966006 964771 1235 965989 17
 (3) East_Siberian_Sea 1087137 1087133 4 1087137 0
 (4) Laptev_Sea 897845 897841 4 897845 0
 (5) Kara_Sea 867623 887208 -19585 876527 -8904
 (6) Barents_Sea 254882 423978 -169096 345715 -90832
 (7) Greenland_Sea 668550 595658 72891 574537 94013
 (8) Baffin_Bay_Gulf_of_St._Lawrence 768306 982649 -214343 982716 -214409
 (9) Canadian_Archipelago 854931 853618 1313 854878 53
 (10) Hudson_Bay 1256284 1215695 40589 922416 333868
 (11) Central_Arctic 3174354 3206560 -32206 3207164.49 -32811
 (12) Bering_Sea 350519 403002 -52483 325489.93 25029
 (13) Baltic_Sea 14031 31873 -17843 15271.77 -1241
 (14) Sea_of_Okhotsk 366812 393742 -26929 302941 63871

The major deficits are in Barents Sea and Baffin Bay (Atlantic basins), along with smaller losses in Bering and Okhotsk (Pacific basins).

Background from Previous Post Updated to Year-End 2025

Some years ago reading a thread on global warming at WUWT, I was struck by one person’s comment: “I’m an actuary with limited knowledge of climate metrics, but it seems to me if you want to understand temperature changes, you should analyze the changes, not the temperatures.” That rang bells for me, and I applied that insight in a series of Temperature Trend Analysis studies of surface station temperature records. Those posts are available under this heading. Climate Compilation Part I Temperatures

This post seeks to understand Arctic Sea Ice fluctuations using a similar approach: Focusing on the rates of extent changes rather than the usual study of the ice extents themselves. Fortunately, Sea Ice Index (SII) from NOAA provides a suitable dataset for this project. As many know, SII relies on satellite passive microwave sensors to produce charts of Arctic Ice extents with complete coverages going back to 1989.  Version 3 was more closely aligned than Version 4 with MASIE, the modern form of Naval ice charting in support of Arctic navigation. The SII User Guide is here.

There are statistical analyses available, and the one of interest (table below) is called Sea Ice Index Rates of Change (here). As indicated by the title, this spreadsheet consists not of monthly extents, but changes of extents from the previous month. Specifically, a monthly value is calculated by subtracting the average of the last five days of the previous month from this month’s average of final five days. So the value presents the amount of ice gained or lost during the present month.

These monthly rates of change have been compiled into a baseline for the period 1980 to 2010, which shows the fluctuations of Arctic ice extents over the course of a calendar year. Below is a graph of those averages of monthly changes up to and including this year. Those familiar with Arctic Ice studies will not be surprised at the sine wave form. December end is a relatively neutral point in the cycle, midway between the September Minimum and March Maximum.

The graph makes evident the six spring/summer months of melting and the six autumn/winter months of freezing.  Note that June-August produce the bulk of losses, while October-December show the bulk of gains. Also the peak and valley months of March and September show very little change in extent from beginning to end.

The table of monthly data reveals the variability of ice extents over the last 4 decades, with gains in blue cells and losses in red cells.

The values in January show changes from the end of the previous December, and by summing twelve consecutive months we can calculate an annual rate of change for the years 1980 to 2025.

As many know, there has been a decline of Arctic ice extent over these 40 years, averaging 70k km2 per year. But year over year, the changes shift constantly between gains and losses, ranging up to +/- 500k km2, (2024 being exceptional). Since 1989 the average yearend gain/loss is nearly zero, -0.049k km2 to be exact.

Moreover, it seems random as to which months are determinative for a given year. For example, much ado was printed about 2023 losing more ice than usual June through September. But then the final 3 months of 2023 more than made up for those summer losses, resulting in a sizeable gain for the year.

As it happens in this dataset, October has the highest rate of adding ice. The table below shows the variety of monthly rates in the record as anomalies from the 1980-2010 baseline. In this exhibit a red cell is a negative anomaly (less than baseline for that month) and blue is positive (higher than baseline).

Note that the  +/ –  rate anomalies are distributed all across the grid, sequences of different months in different years, with gains and losses offsetting one another.  As noted earlier,  in 2023 the outlier negative months were June through September where unusual amounts of ice were lost.  Then unusally strong gains in October to December resulted in a large annual gain, compared to the baseline. The bottom line presents the average anomalies for each month over the period 1979-2025.  Note the rates of gains and losses mostly offset, and the average of all months in the bottom right cell is virtually zero.

A final observation: The graph below shows the Yearend Arctic Ice Extents for the last 35 years.

Year-end Arctic ice extents (last 5 days of December) show three distinct regimes: 1989-1998, 1998-2010, 2010-2025. The average year-end extent 1989-2010 is 13.4M km2. In the last decade, 2011 was 13.0M km2, and six years later, 2017 was 12.3M km2. 2021 rose back to 13.0  2024 slipped back to 12.2M, and 2025 is back up to 12.4M. So for all the the fluctuations, the net is virually zero, or a loss of one tenth of a Wadham (0.1M) from 2010. Talk of an Arctic ice death spiral is fanciful.

These data show a noisy, highly variable natural phenomenon. Clearly, unpredictable factors are in play, principally water structure and circulation, atmospheric circulation regimes, and also incursions and storms. And in the longer view, today’s extents are not unusual.

 

 

 

 

Six Impossible Climate Things to Believe

Image created with ChatGPT.

Javier Vinós provides the list in his yearend Clintel post Six Impossible Things to Believe.  Excerpts in italics with my bolds and added images.

Like Alice’s White Queen, European and Spanish authorities
want us to believe six impossible things about
climate change and the energy transition.

In Alice Through the Looking-Glass, a character by Lewis Carroll says, “One can’t believe impossible things,” to which the White Queen replies, “When I was your age, I sometimes believed as many as six impossible things before breakfast.”

Like Alice’s White Queen, European and Spanish authorities want us to believe six impossible things about climate change and the energy transition, before and after breakfast. These six impossible things to believe — and yet many people, like the White Queen, do believe them — are as follows:

The first is believing that humans have — or could have in the near future — some degree of control over the climate and the weather, and that through our actions we can reduce the frequency and intensity of hurricanes, floods, droughts, or sea-level rise. Anyone who believes this is capable of believing anything.

The second is believing that the climate, in its extraordinary complexity with hundreds — perhaps thousands — of variables, is controlled by just one: changes in the concentration of greenhouse gases. The theory and models that propose this are based on a good understanding of the properties of CO₂, but a poor understanding of the other climatic variables. And the fact that no solid evidence for this theory has emerged, despite decades of intensive searching, makes it very difficult to believe.

The third is believing that an energy transition is taking place or will take place. There are no examples of energy transitions. We use more biomass, coal, oil, natural gas, and uranium than at any other time in history, and we are simply adding the so-called renewable energies, which are installed, maintained, and replaced thanks to hydrocarbon fuels. Our energy use is growing faster than our capacity to install renewable energy. The transition is a myth, and anyone who claims to believe in it is either lying or poorly informed.

The fourth is believing that the use of hydrocarbon fuels is going to be .abandoned At the recent climate conference in Brazil, a group of countries, including Spain, pushed for the agreement to include a roadmap for abandoning those fuels. They were forced to back down, and hydrocarbon fuels are not even mentioned in the final agreement. Eighty-three governments supported that roadmap, but together they represent only 13.6% of the world’s population. The remaining 86.4% shows no intention of abandoning the source from which the human species obtains 85% of its external energy.

It is impossible to believe that such an abandonment will take place because, 33 years after the United Nations Framework Convention on Climate Change and 10 years after the Paris Agreement, support among nations for abandoning hydrocarbon fuels has decreased rather than increased.

The fifth is believing that a reduction in global CO₂ emissions will occur. These emissions are linked to human development and population growth. Many regions of the planet remain underdeveloped, and the world’s population will continue to grow in the coming decades.

Since the first climate conference in Berlin in 1995, where strict emission-reduction commitments were adopted — but only for “developed” nations — global CO₂ emissions have increased by 70%. These 30 years should be enough to convince anyone that they are not going to stop rising.

The Fantasy

The sixth is believing that energy can be decarbonized. Only 23% of the EU’s final energy consumption is electricity, and only 70% of that electricity comes from carbon-free sources. One third of it comes from nuclear energy, which Spain rejects and which was installed in the last century. So far this century, the EU has managed to decarbonize less than 10% of the energy it uses. Most of the planet is not even trying.

These six things are impossible to believe, but if we refuse to believe even just one of them, the entire climate and energy strategy of the European Union and the Spanish government is revealed as a tragic farce. Based on these impossibilities, our national and European governments have committed themselves to a transition whose consequences we are already suffering:

♦  more expensive energy,
♦  declining industrial production and competitiveness,
♦  increased risk to the power grid,
♦  environmental policies with tragic consequences,
♦  greater indebtedness, and, ultimately,
♦  an accelerated decline of Europe relative to the rest of the world.

 

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

Good News, COP30: 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.

Tide Turns Against Climatists’ Agenda

Richard Miller points to growing distrust of climate ideology and to receding support for impractical energy and social policies aimed at fighting global warming/climate change, but serving only to inflict energy poverty  His article is The Tide Turns Against the Climate Change Agenda: A Long-Overdue Reckoning.  Excerpts in italics with my bolds and added images.

The climate establishment’s dominance rested on a seductive pitch: green policies would deliver prosperity without pain. Wind turbines and solar panels would slash energy costs, insulate us from petrostates, and create a jobs bonanza. As Maurice Cousins noted in his August 2025 Artillery Row piece, this vision transformed environmentalism from a middle-class indulgence into a technocratic consensus, backed by state funding, Big Philanthropy, and celebrity endorsements.

Yet, the reality is starkly different. Britain now faces some of the highest industrial energy costs in the developed world, with electricity prices for businesses nearly double those in the U.S. Heavy industry is in retreat, steelworks and manufacturing plants are shuttering, while the UK’s reliance on energy imports has surged, exposing vulnerabilities during crises like Russia’s invasion of Ukraine.

The public isn’t blind to this failure. Polls reflect a growing backlash. While abstract support for Net Zero lingers, a 2025 YouGov survey found 47% of Britons want climate policies scaled back when faced with their costs, high bills, job losses, and lifestyle constraints. Reform UK voters, with 32% endorsing reduced green measures, are leading the charge, but even mainstream figures like Tony Blair and trade unions like Unite are breaking ranks, questioning the feasibility of the green agenda. This isn’t just scepticism; it’s a revolt against a narrative that promised abundance but delivered austerity.

The climate lobby’s response? Double down and deflect. Take the recent video by Simon Clark and Carbon Brief’s Dr. Simon Evans, which Cousins critiques as a desperate attempt to “manage” dissent rather than engage with it. Acknowledging rising bills and Britain’s mere 1% of global emissions, it dismisses public concerns as misinformation fuelled by fossil-fuel propaganda. This patronising tone, epitomised by praising the “independent” Climate Change Committee, a body of unelected technocrats, only deepens distrust. It’s a tired playbook, seen in Brexit and migration debates: label critics as ignorant, pathologise their concerns, and cling to elite authority.

But the public’s lived experience, bills they can’t pay, industries they’ve lost,
trumps rhetorical window-dressing.

The folly of the climate agenda lies in its defiance of economic and physical realities. Low-density, intermittent renewables like wind and solar cannot power a modern industrial economy without massive subsidies and grid instability. The Office for Budget Responsibility has warned that Net Zero’s costs, projected at £1.4 trillion by 2050, far outstrip promised savings. Meanwhile, global competitors like China and India, responsible for over 40% of emissions, continue burning coal with little regard for Western virtue-signalling. Britain’s “lead by example” approach is not just naïve, it’s self-destructive, hamstringing its economy while others race ahead.

This reckoning is long overdue. The climate lobby’s promises were always more faith than fact, rooted in a utopian vision that ignored trade-offs. Green jobs? The UK’s renewable sector employs fewer than 75,000 people, a fraction of the 500,000 jobs lost in manufacturing since 2000. Cheaper energy? Households face bills 60% higher than a decade ago. Energy independence? The UK imports 40% of its electricity on peak days, often from fossil-heavy grids abroad.

The climate agenda’s failures are not a messaging problem,
they’re a policy disaster, colliding with
the hard limits of physics and economics.

The tide is turning because the public sees through the façade. From factory workers to suburban families, people feel the squeeze of policies that prioritise ideology over reality. The green backlash isn’t just about cost, it’s about trust. When elites lecture about “saving the planet” while ordinary citizens struggle to heat their homes, resentment festers. Reform UK’s rise and the growing chorus of mainstream dissent signal a broader awakening: the climate agenda, as it stands, is unsustainable.

It’s time to pivot. Instead of doubling down on unworkable targets, Britain needs pragmatic policies, investment in nuclear energy, which provides reliable, low-carbon power; deregulation to revive industry; and a frank acknowledgment that global emissions won’t bend to Western sacrifices alone. The climate lobby’s grip is slipping, and no amount of technocratic spin can stop the public’s demand for change. The reckoning is here, and it’s about time we embraced it.

 

Biomass Energy Exorbitant, Destructive and Pointless

Biomass Energy Process

Shaye Wolf writes at CalMatters Biomass is a money pit that won’t solve California’s energy or wildfire problems  Shaye Wolf is the climate science director at the Center for Biological Diversity.  Excerpts in italics with my bolds and added images.

California’s most expensive electricity source is finally poised to lose a government handout that props up its high costs and harmful pollution. In an era of clean, cheap solar and wind energy, policymakers are rightly beginning to treat biomass energy like the boondoggle it is.

Biomass energy — electricity made by burning or gasifying trees —
is an expensive, dirty relic that relies on industry misinformation and taxpayer money. 

In a vote later this month, the California Public Utilities Commission is expected to end the BioMAT subsidy program, which requires electric utilities to buy biomass power at exorbitant costs — four times the average. Californians get hit with those extra costs in our power bills, along with pollution that harms our health and climate. 

Utilities and environmental groups support ending this costly subsidy.   But the biomass industry is fighting back with misleading claims that its projects are made clean by “new” technology or that they’re needed for wildfire safety. Don’t be fooled.

Burning trees to make electricity harms the climate. In fact, biomass power is more climate-polluting at the smokestack than coal.

Biomass energy releases toxic air pollutants that endanger health, increasing the risk of premature death and illnesses like asthma. The facilities often are located in low-income communities and communities of color that have long fought to shut them down.

It is telling that the biomass industry is rebranding.  It claims it will use “clean” methods to gasify trees instead of burning them. But gasification — which also involves heating organic material — releases large amounts of climate-harming air pollution.

State regulators in May denied a costly biomass gasification project
that couldn’t show it would reduce emissions as promised
.

The industry also promotes carbon capture and storage, claiming this technology will suck up carbon dioxide from biomass smokestacks and store it underground forever. But carbon capture and storage is a costly, decades-old technology with a long history of failure and serious health and safety risks.

Finally, the industry claims biomass energy projects will help pay for forest thinning, which it says will protect communities during wildfires. That means cutting trees, often large trees, which threatens wildlife and depletes forests, which naturally store carbon and fight climate change.

Thinning isn’t a good way to keep communities safe. Most of the community destruction is caused by wind-driven fires during extreme fire weather, made worse by climate change. The fastest-moving 3% of wind-driven fires is responsible for 88% of the damage to homes. [Note: no proof wildfires are worse now than in the past]

No amount of forest thinning can stop that. In fact, thinning makes cool, moist forests hotter, drier and more wind-prone, which can make fires burn faster and more intensely.

Most of California’s destructive wildfires — like the Los Angeles area fires in January — have burned in shrublands and grasslands, not forests, making thinning irrelevant in those cases.

Instead, the best investment for protecting communities during wildfires is hardening homes, so they’re less likely to catch fire, and stopping new development in fire-prone areas. Yet the state has earmarked only 1% of its wildfire funding for home hardening. Most goes to thinning.

Where thinning occurs, it’s most cost-effective to scatter the wood in the forest to create wildlife habitat, retain vital nutrients, and enhance natural carbon storage. If wood must be removed, it can be turned into mulch and shavings. The worst choice is subsidizing biomass companies to make dirty energy.

Any way you look at it, biomass energy is a polluting money pit
that won’t solve our climate or wildfire safety problems.

See also: 

Green Electrical Shocks in 2024

 

Trees converted into pellets by means of petroleum powered machinery.

Two Hot Spots Slow Arctic Ice Recovery November 2025

 

Figure 12. (a) Predicted 10 mb geopotential heights (dam; contours) and temperature anomalies (°C; shading) across the Northern Hemisphere averaged for 25 Nov to 29 Nov 2025. (b) Same as (a) except forecasted averaged from 05 Dec to 09 Dec 2025. The forecasts are from the 00Z 24 November 2025 GFS model ensemble.

The polar vortex is pronounced this year, resulting in warmer temperature over the Arctic ocean, and slowing the normal sea ice recovery.  Dr. Judah Cohen at AER Arctic Oscillation blog provides information like the chart above.

After a pattern of solidly growing sea ice extent in October, a slowdown occurred in November, coincidental with the warm spots shown above.  The graph below shows 2025 compared to the 19 year average (2006 to 2024 inclusive), to SII (Sea Ice Index) and some notable years.

According to MASIE. the average November adds ~2.5M km2 of sea ice extent, which is matched also by 2007.  2024 started below average, but gained steadily to close the gap.  2025 started at the same level, but the refreezing slowed down, ending November in deficit by 1.1M km2.  SII shows even lower ice extents (the last two days not yet reported.)

The table below shows the distribution of ice in the Arctic Ocean basins, suggesting two places where ice recovery is lagging.

Region 2025334 Day 334 Ave. 2025-Ave. 2007334 2025-2007
 (0) Northern_Hemisphere 9784037 10880420 -1096383 11009948 -1225911
 (1) Beaufort_Sea 1071070 1069623 1447 1058872 12198
 (2) Chukchi_Sea 879082 791207 87875 687829 191253
 (3) East_Siberian_Sea 1087137 1083943 3194 1082015 5122
 (4) Laptev_Sea 897845 897824 21 897613 232
 (5) Kara_Sea 565299 792107 -226808 826319 -261020
 (6) Barents_Sea 28050 242740 -214690 216525 -188474
 (7) Greenland_Sea 550413 539687 10726 618844 -68431
 (8) Baffin_Bay_Gulf_of_St._Lawrence 412284 664437 -252153 708497 -296212
 (9) Canadian_Archipelago 854931 853431 1500 850249 4682
 (10) Hudson_Bay 188797 543322 -354525 751382 -562585
 (11) Central_Arctic 3037637 3193296 -155659 3183072.72 -145436
 (12) Bering_Sea 145331 138776 6555 72644.62 72687
 (13) Baltic_Sea 4226 4452 -225 0 4226
 (14) Sea_of_Okhotsk 58288 61277 -2989 53052 5236

Overall ice extent was 1.1M km2 below average or 10%.  About half the deficit comes from the European Atlantic basins, Kara and Barents seas.  The other half is mostly from N. America’s Hudson and Baffin bays. Ice in these regions operate on the LIFO principle, last in and first out.

At this point in the year, Arctic ice has grown back to 65% of last March maximum with 2.5 months to catch up.   AER  suggests that things may shift again in December:

Figure 9. Forecasted surface temperature anomalies (°C; shading) from 05 Dec to 09 Dec 2025. The forecasts are from the 00Z 24 Nov 2025 GFS ensemble.

Figure 10. Forecasted snowfall (mm/day; shading) from 05 Dec to 09 Dec 2025. The forecasts are from the 00Z 24 Nov 2025 GFS ensemble.

Illustration by Eleanor Lutz shows Earth’s seasonal climate changes. If played in full screen, the four corners present views from top, bottom and sides. It is a visual representation of scientific datasets measuring ice and snow extents.