Author: Ron Clutz

Now the Left’s Response to DOGE Makes Sense

Posted on by Ron Clutz

All it takes is saying one word out loud when they’re hiding behind another word.

Ludwig von Mises made the perfect quote, describing the lefties of today:

The champions of socialism call themselves progressives, but they recommend a system which is characterized by rigid observance of routine and by a resistance to every kind of improvement. They call themselves liberals, but they are intent upon abolishing liberty. They call themselves democrats, but they yearn for dictatorship. They call themselves revolutionaries, but they want to make the government omnipotent. They promise the blessings of the Garden of Eden, but they plan to transform the world into a gigantic post office. Every man but one a subordinate clerk in a bureau. What an alluring utopia! What a noble cause to fight!

H/T to D. Parker and his American Thinker article Trump’s genius move against the Deep State

Footnote:

Definition of a Bureaucrab:

A creature that appears to making progress, but on closer inspection is only moving sideways.

 

Getting Climate Crisis Monkey Off Public Health Services

Posted on by Ron Clutz

Advances in medical science and public health have  benefited billions of people with longer and higher quality lives.  Yet this crucial social asset has joined the list of those fields corrupted by the dash for climate cash. Increasingly, medical talent and resources are diverted into inventing bogeymen and studying imaginary public health crises.

Thus it is welcome news that confirmed Secretary of Health and Human Services (HHS) RFK Jr. has stopped funding of climate medicine at National Institutes of Health (NIH). Mother Jones reported its disapproval RFK Jr., Onetime Environmentalist, Kills NIH Climate Change Programs.
Subtitled: He pulled HHS support from projects that aim to protect Americans’ health.  fight climate change. (my correction of MJ subtitle).

On February 14 of this year, his second day as secretary of the Department of Health and Human Services, he ended HHS funding for climate change and health programs at the National Institutes of Health, a move that will likely terminate this work.

That day, Ken Callahan, a senior adviser for policy and implementation in the Immediate Office of the Secretary for HHS, sent an email to Dr. Matthew Memoli, the acting director of NIH, noting that HHS would no longer support three programs run by the agency:  the Climate Change and Health Initiative, the Climate Change and Health Research Coordinating Center, and the Climate and Health Scholars Program.

In the email, a copy of which was obtained by Mother Jones, Callahan cited Executive Order 14154, titled “Unleashing American Energy,” which President Donald Trump signed on his first day in office last month to revoke executive orders President Joe Biden had previously issued to implement actions to address climate change.

As Richard Lindzen predicted, everyone wants on the climate bandwagon, because that is where the money is. Medical scientists have pushed for their share of the pie, as evidenced by the Met office gathering on Assessing the Global Impacts of Climate and Extreme Weather on Health and Well-Being (following Paris COP). Not coincidentally, the 2nd Global Conference on Health and Climate was held July 7-8, 2016 in Paris. Following that the American Public Health Association declared: 2017 is the Year of Climate Change and Health.

NIH: Why Climate Change Is a Health Threat

The NIH Climate Change and Health Initiative Strategic Framework claims:

For some time, international scientific consensus has been that climate change poses an existential threat to human beings. A report of the Intergovernmental Panel on Climate Change (IPCC), the United Nation’s body for assessing the science related to climate change, concluded in a recent report: “Any increase in global warming is projected to affect human health, with primarily negative consequences (high confidence).” The report further concludes that, “Compared to current conditions, 1.5°C of global warming would nonetheless pose heightened risks to eradicating poverty, reducing inequalities, and ensuring human and ecosystem well-being (medium evidence, high agreement)

and they conclude:

A mounting number of assessments and reports provide undeniable evidence that climate change is resulting in increasingly profound changes to the global environment with direct and indirect consequences for human health and well-being. Closely intertwined with this threat are the more tangible and proximal risks of natural disasters, a global pandemic, societal unrest, and the ever-familiar menaces of poverty and inequity. The need for NIH to lead this science-based initiative, in partnership with communities throughout the world, is now warranted and vitally necessary to address the imminent threat that climate change poses to our health, humanity, and our planet.

Comment: 

There are numerous posts here why the IPCC alarmist narrative is speculative and exaggerated, for example:

Climatists Make Their Case by Omitting Facts

Thus it is high time to uncouple the globalist push to fuse health care with CO2 hysteria.

Two Sides of the Same Coin

Background:

Climate Health Crisis Meme Goes Viral

 

 

 

 

 

Solar Activity Linked to Ocean Cycles

Posted on by Ron Clutz

Solar energy accumulates massively in the ocean and is variably released during circulation events.

Thanks to Franklin Isaac Ormaza-González alerting me to this paper Did Schwabe cycles 19–24 influence the ENSO events, PDO, and AMO indexes in the Pacific and Atlantic Oceans? by Ormaza-González, Espinoza-Celi and Roa-López, all from ESPOL Polytechnic University, Ecuador.  Why is this important? Because warming in the modern era is closely tied to El Niño and La Niña events (ENSO).  For example,

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.

As shown in the synopsis below, the paper analyzes multiple oceanic oscillations during the years 1954 to 2019 in order to compare with solar cycles of sunspots 19 through 24 occurring during that time frame.  The title is stated as a question, and the conclusion provides this answer (in italics with my bolds).

Finally, did Schwabe cycles 19–24 influence the ENSO events, PDO, and AMO indexes in the Pacific and Atlantic Oceans? Yes, it has been found a wide range correlation coefficient from 0.100 to about 0.500 statistically significant (p < 0.05) with lag times from few months to over 2 years between the Schwabe cycles and the ocean indices chosen here. These results could be a potential source to improve predictive skills for the understanding of ENSO, PDO and AMO interannual and decadal fluctuations. Better predictive models are imperative given that El Niño or La Niña has vast impacts on lives, property, and economic activity around the globe, especially when dramatic peaks of El Niño occur. The new cycle 25 has started and could have a major oceanic swing follow suit, and the next El Niño would be in around 2023–2024 according to historical events and results presented here.

Given that the paper was drafted before submitting in February 2022, and publication in October that year, the forecast of a 2023-24 El Nino was confirmed in a remarkable way.

To enlarge, open image in new tab.

The cyan line represents SST anomalies in the Tropics and shows the major El Ninos, 2015-16, 2019-20 and 2023-24.  Note all three events included pairs of major NH summer warming peaks. The synopsis below consists of excerpts in italics with my bolds to present the broad strokes of the analyses and findings. (Note: The paper includes detailed analyses and many references to supporting studies, and interested readers can access them by linking there.)

Context

The surface-subsurface layers of the ocean that interact with the lower atmosphere alternately release and absorb heat energy. The work of Zhou and Tung (2010) reported the impact of the TSI on global SST over 150 years, finding signals of cooling and warming SSTs at the valley and peak of the SS cycles. Schlesinger and Ramankutty (1994) report a global cycle of 65–70 years for SST that is affected by greenhouse anthropogenic gases, sulphate aerosols and/or El Niño events, but they did not imply any external forcing such as the SS. There have been other studies on how solar radiation variability could affect temperature; recently, Cheke et al. (2021) have studied those solar cycles of SS that would affect the El Nino Southern Oscillation (ENSO) indexes.

There are well known oceanic events that show periodicity with low or high frequencies: 25–30 and 3–7 years, respectively. These include the Pacific Decadal Oscillation (PDO), Atlantic Multidecadal Oscillation (AMO),  and Interdecadal Pacific Oscillation (IPO), as well as El Niño or La Niña.  During El Niño events, the surface and subsurface lose energy to the atmosphere and the opposite occurs during La Niña; these events have a periodicity of 3–7 years. The Interdecadal oscillations have a series of impacts; e.g., the PDO gives rise to teleconnections between the tropic and mid-latitudes, and the effects include:

1) ocean heat content,
2) the lower and higher levels of the trophic chain including small pelagic fisheries (tuna and sardines);
3) biogeochemical air-sea CO2 fluxes;
4) the frequency of La Niña/El Niño.

The interactions between decadal oscillations PDO/IPO and AMO may also affect ocean heat content. All these low and high frequency oceanographic events have a direct impact on local, regional, and global climate patterns, and there is growing evidence from many studies that the driving source of energy is the sun.

Thus, whatever affects the solar irradiation falling on the surface of the oceans, including volcanic eruptions (Fang et al., 2020), and cloudiness for example, it would affect the gain or loss of heat content of the oceans. The cited works tried to find the physical reasons for these connections, but they remained unknown or difficult to explain.

The work reported here investigates how fluctuations of sunspots over time (1954–2019) may cross-correlate with low and high frequency oceanic events such as the sea surface temperature (SST), anomalies (SSTA), Oceanographic El Niño Index (ONI), Multivariate ENSO Index (MEI), Southern Oscillation Index (SOI) in the central and east equatorial Pacific Ocean; and PDO, as well as on the AMO in the North Pacific and Atlantic basins. The hypothesis is that even small variations of the TSI can be reflected in these tele-connected indexes.

Discussion

Fig. 1. Behaviour of monthly counts of SS, ONI, MEI, PDO and AMO. The Indexes start at t = 0, 12, 24 and 36 months (panels a, b, c, and d respectively). The SS series starts at t = 0 in the four panels. The left vertical axis gives the values for the Indexes, and SS counts at the right vertical scale. The end of each Schwabe cycle is marked by vertical dashed lines.

Maxima in the PDO, AMO, ONI, and MEI series were offset by 0, 12, 24 and 36 months (Fig. 1, panels a, b, c, and d respectively), with the SS series starts at t = 0 in the four panels. It has been reported that the lag times for responses of some Indexes to SS cycles (SS) are around 12–36 months (see fig. 1 of Hassan et al., 2016), and Fang et al. (2020) have reported that ENSO responds with a 2–3 years of lag time after a major volcanic eruption. From 1954 to the present time, each sunspot cycle from 19 to 24 has occurred with a period of around 11 years (Hathaway, 2015), which is slightly less than the 11.2 years reported by Dicke (1978). The highest SS activity is seen in cycle 19 with around 250 SS/month, followed by <150, and at cycle 21 around 200, before decreasing steadily over cycles 22 to 24 to just over 100 SS/month. Cycle 24 is the lowest contemporary value of SS activity that is comparable only to cycles 12–15 (around 1880–1930) and is the lowest in the last 200 years (Clette et al., 2014).

Fig. 12. Sunspots monthly counts curves per cycle. Red and blue lines represent El Niño and La Niña events. Note that Cycle 24 finished on December 2019 (National Weather Service, 2020).

The SSTA in El Niño 1 + 2 region cross-correlated with SS many times, especially during descending phases of all cycles except SS 22 with cc-ρ up 0.389 (SS 24) and main lag times from 5 to 13 months. The SS cycles (20 and 24) during cold phase PDO showed alternate cross-correlation reaching a maximum 0.389 and negative −0.314 (p < 0.05). During the ascending phase in El Niño 1 + 2 region (blue bars, Fig. 5a) the cc-ρ peaked at 0.393 (p < 0.05). In the cycles 19 and 24 the highest cc-ρ were found, −0.460 and 0.394 (p < 0.05) respectively. These coefficients coincided with the largest (over 2 years) and most intense (<−1.5C) La Niña during 1954–1955, and 2010–2012 (Fig. 12).

It must be noticed that during cycle 21 two big events El Niño (1983–1985) and La Niña (1984–1985) were registered as well as in cycles 23 and 24 with coefficients just around 0.2. The highest coefficients would mean an influence up to 21.2% and 15.5% of the SS on the SSTAs in El Niño 3.4 region. These results would suggest the cross-correlations are stronger in El Niño 3.4 region due to the less dispersing oceanographic-meteorological conditions than in El Niño 1 + 2 region. Also, these findings would suggest that during the cold phase of PDOs (see NOAA, 2016), the cc-ρ in El Niño 3.4 region tends to be higher, as the solar energy reaching the ocean surface increases as the cloudiness tends to decrease significantly during prolonged periods around or over in El Niño 3.4 region (Porch et al., 2006).

The sun cycle 19 is the most intense since the last 100 years, the contrary is the cycle 24 (NWS, 2021). In general, the ascending phase of the SS cycles takes a shorter time than descending phase, therefore the slope of the curve is steeper (Fig. 12); then the increasing change of the TSI influences in a clearer way the studied indexes. It seems that during the ascending phases, El Niño events are prone to develop as TSI increases (as well as UV radiation does, NWS, 2021), while during plunging SS phases, when the TSI tends to diminish (see Formula (1)), could lead to La Niña events, like the 2020–2022 occurrence (Ormaza-González, 2021).

Most of the La Niña events occur during the descending phase or just when approaching or leaving the valley or minimum SS counts (Fig. 12) when the TSI decreases and reaches the minimum (Scafetta et al., 2019). La Niña 2020–2022 is a good example, the lowest SS counts (<2 counts/months) occurred during extended periods when reaching the valley of the SS 24. The valley of SS 24 has had an extended period of close to 3 years, during which there have been weeks and months without sunspots, before the SS 25 started in December 2020.

The weakest sunspot cycle (SS 24) over the last 100 years (NWS, 2021) has had four La Niña events: 2007–2009, 2010–2012, 2016–2017, and 2020–2022 (Fig. 12), it is the only cycle with that number of La Niña events.

Conclusions

Over the studied period 1954–2019, sunspot numbers decreased from a monthly maximum between 225 (SS 21) to a minimum around 20–25 (SS 24). The SS 24 had 913 days without SS counts until December 2019 (Burud et al., 2021), being this cycle the weakest since 1755; and the SS 25 will probably be weaker than or like SS 24 (Ineson et al., 2014; Chowdhury et al., 2021; NASA, 2021a, NASA, 2021b). Thus, the Earth has been receiving slightly decreasing solar energy over this almost 7-decade period.

On the ocean surface the influence of sunspots could chiefly be due to UV energy fluctuation (Ineson et al., 2014) as this radiation penetrates down to 75–100 m depth in the water column (Smyth, 2011). van Loon et al. (2007) suggested that even though SS cycles produce weak changes on the Total Solar Irradiation (TSI) of about 0.07% (Gray et al., 2010), these can still produce decadal and millennial impacts on global thermohaline circulation (Bond et al., 2001; Gray et al., 2016).

The ONI Index showed to be poorly cross-correlated with cc-ρ values <0.100, only twice approached to −0.200. On the other hand, the MEI registered around ±0.200 through all cycles and predominant lag times within 12 months. The SOI showed cross-correlations with SS cycles (19–21, and) averaging a coefficient of 0.200 with lags times range of 9–34 months. The SOI temporal behaviour has also been associated with SS and it could enhance or affect the oceanographic Indexes of the equatorial Pacific (Higginson et al., 2004). [The Multivariate ENSO Index does not only consider the SST Anomaly but also sea-level pressure and other variables.]

The MEI index could have been influenced from 7.3% up to 23%. The MEI correlated in all ascending and descending phases of SS cycles. The SOI had similar cross-correlation coherence to those oceanographic indexes during ascending and descending phases. These results would provide evidence on how SS affects the studied Indexes during the ascending/descending phases of their cycles. In some cycles, the impact will be stronger and in other weaker depending on intensity and behaviour in time of the cycle.

Finally, did Schwabe cycles 19–24 influence the ENSO events, PDO, and AMO indexes in the Pacific and Atlantic Oceans? Yes, it has been found a wide range correlation coefficient from 0.100 to about 0.500 statistically significant (p < 0.05) with lag times from few months to over 2 years between the Schwabe cycles and the ocean indices chosen here. These results could be a potential source to improve predictive skills for the understanding of ENSO, PDO and AMO interannual and decadal fluctuations. Better predictive models are imperative given that El Niño or La Niña has vast impacts on lives, property, and economic activity around the globe, especially when dramatic peaks of El Niño occur. The new cycle 25 has started and could have a major oceanic swing follow suit, and the next El Niño would be in around 2023–2024 according to historical events and results presented here.

Oceans Rapidly Cooling UAH January 2025

Posted on by Ron Clutz

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

As an overview consider how recent rapid cooling  completely overcame the warming from the last 3 El Ninos (1998, 2010 and 2016).  The UAH record shows that the effects of the last one were gone as of April 2021, again in November 2021, and in February and June 2022  At year end 2022 and continuing into 2023 global temp anomaly matched or went lower than average since 1995, an ENSO neutral year. (UAH baseline is now 1991-2020). Now we have had an usual El Nino warming spike of uncertain cause, unrelated to steadily rising CO2 and now dropping steadily.

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

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

gmt-warming-events

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

Importantly, the theory of human-caused global warming asserts that increasing CO2 in the atmosphere changes the baseline and causes systemic warming in our climate.  On the contrary, all of the warming since 1947 was episodic, coming from three brief events associated with oceanic cycles. And now in 2024 we have seen an amazing episode with a temperature spike driven by ocean air warming in all regions, along with rising NH land temperatures, now dropping below its peak.

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

image-8

 

mc_wh_gas_web20210423124932

See Also Worst Threat: Greenhouse Gas or Quiet Sun?

January 2025 Ocean Leads Global Cooling banner-blog

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

UAH has updated their TLT (temperatures in lower troposphere) dataset for January 2025. Due to one satellite drifting more than can be corrected, the dataset has been recalibrated and retitled as version 6.1 Graphs here contain this updated 6.1 data.  Posts on their reading of ocean air temps this month are ahead of the update from HadSST4.  I posted recently on SSTs Ocean Even Cooler December 2024. 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. In October, ocean and land temps in both NH and Tropics dropped, pulling the global anomaly down. As was the case in November and December, now in January there was cooling everywhere, strongest in all ocean anomalies.

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 January 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 0.95C in May, Since then all regions have cooled down sharply, Global anomaly dropping in January to 0.3C, as well as SH dropping down to 0.1C in January.

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 January 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. December showed an upward rebound in SH and Tropics land temps, now offset by a dropping temps everywhere, pulling the Global land anomaly downward slightly.

The Bigger Picture UAH Global Since 1980

The chart shows monthly Global Land and Ocean anomalies starting 01/1980 to present.  The average monthly anomaly is -0.03, for this period of more than four decades.  The graph shows the 1998 El Nino after which the mean resumed, and again after the smaller 2010 event. The 2016 El Nino matched 1998 peak and in addition NH after effects lasted longer, followed by the NH warming 2019-20.   An upward bump in 2021 was reversed with temps having returned close to the mean as of 2/2022.  March and April brought warmer Global temps, later reversed

With the sharp drops in Nov., Dec. and January 2023 temps, there was no increase over 1980. Then in 2023 the buildup to the October/November peak exceeded the sharp April peak of the El Nino 1998 event. It also surpassed the February peak in 2016. In 2024 March and April took the Global anomaly to a new peak of 0.94C.  The cool down started with May dropping to 0.9C, and in June a further decline to 0.8C.  October went down to 0.7C,  November and December dropped to 0.6C. January down to 0.46C.

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.

 

Trump: Homeland Security Not in Climate Change Business

Posted on by Ron Clutz

Steve Milloy reported on X:  President Trump deports “climate change” from the Department of Homeland Security: “Top officials at the US Department of Homeland Security received a memo on Friday ordering an immediate stop to work connected to climate change and the elimination of climate-related terms across the agency. The memo instructs senior office heads to “eliminate all climate change activities and the use of climate change terminology in DHS policies and programs, to the maximum extent permitted by the law,” according to the document seen by Bloomberg News. The changes are meant to bring “alignment” with Trump’s executive orders that reverse multiple climate-related orders by former President Joe Biden, it said.”

Comment:

A good place to start is the DHS webpage Climate Literacy at DHS which was updated January 27, 2025, probably only adding a disclaimer “In an effort to keep DHS.gov current, the archive contains outdated information that may not reflect current policy or programs.”

Table of Contents

Climate Science Overview

The DHS Mission and Climate Change

Climate Change Adaptation, Mitigation, and Resilience

Climate Security

Climate Change and Fragility

Further Resources

Further Resources Include:

DHS Resources

Component Resources

External Resources

Climate Tools

Conclusion

DHS still thinks it’s very much in the “Climate Change Business” and rooting it out will be an extensive process met with unwelcome resistance.

Due This Week: EPA Plan for GHG Endangerment Finding

Posted on by Ron Clutz

As promised, Trump on day 1 (January 20, 2025) issued an Executive Order challenging the presumption  “greenhouse gases” (GHGs) endanger public health and safety.  The pertinent text is in Section 6 reprinted below with my bolds and added images.

Executive Order 14154 of January 20, 2025 Unleashing American Energy

Sec. 6 . Prioritizing Accuracy in Environmental Analyses. (a) In all Federal permitting adjudications or regulatory processes, all agencies shall adhere to only the relevant legislated requirements for environmental considerations and any considerations beyond these requirements are eliminated. In fulfilling all such requirements, agencies shall strictly use the most robust methodologies of assessment at their disposal and shall not use methodologies that are arbitrary or ideologically motivated.

(b) The Interagency Working Group on the Social Cost of Greenhouse Gases (IWG), which was established pursuant to Executive Order 13990, is hereby disbanded, and any guidance, instruction, recommendation, or document issued by the IWG is withdrawn as no longer representative of governmental policy including:

(i) the Presidential Memorandum of January 27, 2021 (Restoring Trust in Government Through Scientific Integrity and Evidence-Based Policymaking);

(ii) the Report of the Greenhouse Gas Monitoring and Measurement Interagency Working Group of November 2023 (National Strategy to Advance an Integrated U.S. Greenhouse Gas Measurement, Monitoring, and Information System);

(iii) the Technical Support Document of February 2021 (Social Cost of Carbon, Methane, and Nitrous Oxide Interim Estimates under Executive Order 13990); and

(iv) estimates of the social cost of greenhouse gases, including the estimates for the social cost of carbon, the social cost of methane, or the social cost of nitrous oxide based, in whole or in part, on the IWG’s work or guidance.

(c) The calculation of the “social cost of carbon” is marked by logical deficiencies, a poor basis in empirical science, politicization, and the absence of a foundation in legislation. Its abuse arbitrarily slows regulatory decisions and, by rendering the United States economy internationally uncompetitive, encourages a greater human impact on the environment by affording less efficient foreign energy producers a greater share of the global energy and natural resource market. Consequently, within 60 days of the date of this order, the Administrator of the EPA shall issue guidance to address these harmful and detrimental inadequacies, including consideration of eliminating the “social cost of carbon” calculation from any Federal permitting or regulatory decision.

(d) Prior to the guidance issued pursuant to subsection (c) of this section, agencies shall ensure estimates to assess the value of changes in greenhouse gas emissions resulting from agency actions, including with respect to the consideration of domestic versus international effects and evaluating appropriate discount rates, are, to the extent permitted by law, consistent with the guidance contained in OMB Circular A-4 of September 17, 2003 (Regulatory Analysis).

(e) Furthermore, the head of each agency shall, as appropriate and consistent with applicable law, initiate a process to make such changes to any rule, regulation, policy or action as may be necessary to ensure consistency with the Regulatory Analysis.

(f) Within 30 days of the date of this order, the Administrator of the EPA, in collaboration with the heads of any other relevant agencies, shall submit joint recommendations to the Director of OMB on the legality and continuing applicability of the Administrator’s findings, “Endangerment and Cause or Contribute Findings for Greenhouse Gases Under Section 202(a) of the Clean Air Act,” Final Rule, 74 FR 66496 (December 15, 2009).

What Might Happen Next

Source E&E News : Trump set a deadline on the endangerment finding. Here’s what might happen.

The finding, issued during President Barack Obama’s first term, holds that greenhouse gas emissions “may reasonably be anticipated to endanger public health or welfare.” It’s the prerequisite for Clean Air Act rules targeting heat-trapping pollutants such as carbon dioxide and methane. The finding originally pertained to climate pollution from vehicles, but it opened the door for regulations on power plants and oil and gas infrastructure. And it could support future regulation on additional sources of climate pollution, such as landfills, refineries and industrial plants.

Getting rid of the finding would make scrapping EPA climate rules a matter of routine paperwork, an expert said. Regulations could be undone through simple, swift rulemakings. No replacement rules would be needed.

“Taking away the 2009 endangerment finding would really make it almost a virtual formality to take down all the greenhouse rules for CO2 and methane,” said Joe Goffman, EPA’s air chief under Biden.

EPA would still need to strip out sector-specific findings from rules written under a key section of the Clean Air Act — known as Section 111 — he said. But when the dust settled, EPA could regulate oil and gas facilities for ozone-forming pollutants alone, and not for methane — greatly reducing requirements for industry. And power plants that burn fossil fuels wouldn’t be regulated for carbon.

Daren Bakst, director of the energy and environment program at the conservative Competitive Enterprise Institute, a think tank that has long advocated getting rid of the endangerment finding, agreed that it would “present legal challenges.”  But he said the risk was worth taking.

“If the EPA finds there is no endangerment, and this survives in court, it would have the important effect of stopping the EPA from regulating greenhouse gases,” he said.

Regarding next week’s deadline, he said Zeldin might submit only preliminary recommendations to the Office of Management and Budget, rather than a full-blown decision to challenge the finding, or pass on it.

Sun Rules Earth Climate

Posted on by Ron Clutz

On February 12, 2025, Tom Nelson conducted the above interview with solar physicist Valentina Zharkova: Grand solar minimum is underway. Below is my synopsis  of lightly edited transcript excerpts from the closed captions along with key graphics in her presentation. H/T Chiefio

The full content of the video is:

Time line of segments:
0:00 – Introduction to Valentina
0:35 – Understanding the Solar Cycles
4:25 – Challenges In Measuring Sun
5:10 – Discovering The Background (magnetic fields)
6:00 – Analyzing Magnetic Waves
7:50 – Predicting Solar Activity
14;45 – Grand Solar Minimum
27:25 – Implications of the Grand Solar Minimum
37:55 – CO2 and Temperature Correlation
39:10 – Solar Cycles and Earth’s Temperature
42:45 – Solar Inertial Motion and Climate
48:30 – Future Climate Predictions
1:05:20 – Volcanic Activity and Climate
1:07:30 – Earth’s Magnetic Field
1:12:10 – Concluding Thoughts

Transcript Excerpts

Today we’re talking again about Grand solar minimum but I also speak about a little bit of solar radiation and verification of the new solar activity index we discovered with the existing one which is derived by average Sunspot number.

Understanding the Solar Cycle and Sunspots

The solar activity cycle is about 11 years and on the Sun it occurs that in the start of the cycle on the left image the sun has Southern polarity.  And during the cycle this polarity slowly migrates in the opposite direction and so the next solar minimum you have polarity changed and this happens approximately every 11 years. so basically what is happening the the loops appear in the Solar surface and the occurring as the active region for forming coronal mass injections flares and different fluxes towards the Earth and other planets.

So in the past we were dealing  with the sunspots.  In the 18th century Wolff discovered that this Sunspot appears on this latitude 30° and migrates slowly towards the equator and basically this is the basic Solar activity index using daily average Sunspot numbers.

Why we love sunspots and why we support this for a couple of centuries is because sunspots actually are Roots which are embedded into the Photosphere (the surface layer of the Sun that gives off light).  And we see them from outside with the naked eye but basically they are the places where magnetic Loops are embedded.

The problem with Sunspots is that we see only a few of them.  Even with this Solar maximum there’s only a small part of the solar surface covered with them. Whatever we use to detect them, always the Sunspot index is defined by people manually.  They agree from different observatories what number of sunspots which configuration Etc.  So the Sunspot number changes during 11 year cycle.

Discovering The Background (magnetic fields)

So we decided to look at the background field in which these sunspots are embedded so on the top is the B is the background magnetic field measured at solar observatory in Stanford with orange. So you see clearly that the leading polarity of Sunspot always opposite to the polarity of the background magnetic field in that hemisphere.  It was not only us who detected this it was others as well so it was very encouraging. We decided we can detect solar activity with much better accuracy.

The black curve is our summary modulus summary curve and the red is a  sunspot number and you see that our a Vector summary Eigen vectors will represent this Solar, remembering that our index represents the magnetic field of the background Sun. In 2022 we added Cycle 24 and discovered that our curve still represents Sunspot index.  At the bottom is the summary curve modulus summary curve cycle 25 where we are now,   Here we see our prediction that the maximum will be actually year 23-24 and now there will be a very sharp drop of the activity, and we have two little Maxima before the minimum between cycle 25-26.  Cycle 26 will be have very low amplitude, 70% lower than the previous two cycles.

So how it works.   If you have two waves on the top two black waves which are running with the same amplitude but if the face difference is zero you have constructive interference.   In the cycle 26 we can see the amplitudes are going opposite with the resulting amplitude becoming zero.   This is what we observe on the sun and I teach my  first year physics students how they interact.   There’s no miracle, just basic physics of the waves and this effect called beat effect.

Implications of the Grand Solar Minimum

Now we come back to solar radiance and climate so first we now know that we entered into a grand solar minimum, the temperature started decreasing.  But the problem with the grand solar minimum is that during previous Grand solar minimum, which was the Maunder minimum in 17th century,  the Solar Radiance reduced by 3 watts per square meter approximately. But the temperature during Maunder minimum decreased approximately by one degree maximum.

Different investigations show slightly different variations but mostly they all reconstruct temperatures during and after the minimum to find where the surface temperature was reduced on the the globe. So this is what you see for Northern Hemisphere, this is Europe, very dark blue is reduction of temperature by one degree.   And it is mostly all Europe, Russia and Siberia, and also all Northern America and Canada.

So basically this is probably we are heading towards now.  We have noticed the cold flashes from the drop of the temperature that occurred because drop of abundance of ozone created by solar ultraviolet light in the stratosphere.  If the solar radiation is reduced, this layer abundance of ozone is reduced and it affects planetary atmospheric waves.

In the left image Globe the stable just stream flows somewhere in this path and separate middle latitude from the north Northern latitude, but when ozone layer is reduced it causes giant Wiggles in just stream shown in the right plot called wind from arctics can now penetrate to the southern latitudes as shown on the picture.  It kicks off North Atlantic oscillation and balance between permanent low pressure system near Greenland and permanent high pressure system and the South into Negative PH. It was reported 24 years ago go and it works now.

We are trying now to say that the temperature will be increasing because the sun become closer to us but the sun is very humane it gives us this grand solar minimum for 30 years to sort out our understanding how the heating comes through and then prepare for the next stage of heating which come does no matter what we do on Earth; if we stop using fuels, we crawl to the caves and start using I don’t know what energy.   All people will die still the temperature will increase, it doesn’t matter what we do.

So this prediction of the anthropogenic global warming people is not working.  The temperature will be increasing no matter what we do with CO2 because the increase of the temperature comes from the solar inertial motion.   So this my conclusion: We had this global warming–it is real;  it is not caused by humans because human only contribute 6% maximum of all CO2.  And CO2 is a very good gas because it is mostly absorbed by the plants and not by humans.

Global warming is caused by this Solar inertial motion and gravitation of large planets which drag the Sun from the center Body Center closer to the planets and this causes the increase of the  temperature.  And the temperature as I shown in my book will increase by 2.5-3° by 25-2600 years. This is the end of the story.

TN: Thank you it sounds like we’re due for some cooling between now and 2053 but warming in general between then and 2600.  I’m curious, do you think we’re going to see the temperatures freeze over at all?

Yes, I’m confident it will be freezing from 2031 to 2042 for sure.  This will be the worst period of cold air and cold temperature and not only temps.  Rivers and the ponds will be freezing all right and other dramatic things that might happen.  It’s going to be a lot harder to grow wheat in Canada for example, I would guess during that time absolutely.  In 17th century people heated their houses with their own fireplaces, now we have central heating.  If we don’t have electricity even our Central heating is not working, so you need to have the portable generators run from fossil fuel or have a wood stove in your house.  At that time people grew up something in their Gardens, now people don’t know how to grow up anything, so it will be really really difficult.

See Also:

Zharkova on Solar Forcing and Global Cooling

It Must Be Climate Change

Posted on by Ron Clutz

Prager U video can be seen at this link: https://www.prageru.com/video/it-must-be-climate-change

Transcript is below in italics with my bolds and some added images.

Have you noticed that every extreme weather event is blamed on climate change formerly known as global warming?

Every. . . Single. . .One. 

Can you think of an exception?

Too hot — climate change.    Too cold – climate change. 

Previously, cold spells were termed “Weather” in contrast to “Global Warming.” Now it’s all “Climate Change.”

Drought – climate change.   Too much rainfall – climate change. 

And there’s always a climate scientist at some university who’s willing to make a statement blaming the current catastrophe on our profligate use of fossil fuel. 

Some years ago, on The Late Show with David Letterman, MSNBC host Rachel Maddow made the definitive statement on this issue. She said, “I think global warming probably means extreme weather events of all kinds.” Naturally, Dave agreed.

What’s behind all these confident assertions? 

As a PhD in geochemistry, former member of the University of Alabama Department of Geological Sciences and someone who has written and lectured widely on the subject of climate and geology, I can tell you that it comes down to two things: 

Obscure metrics and highly speculative models.

Mix these ingredients together and voila! You can get any result you want. The scarier, of course, the better. “Torrential rain” makes a much better headline than “heavy rain.” 

To show you how this works, let’s look at a recent example. 

Here’s the assertion:   Climate change is making air turbulence more volatile and thus air travel more dangerous. 

Scary, right?   But is it true?  No. Not if we look at the observable data; that is, hard data we can easily verify. 

Here’s a chart of the number of turbulence-related accidents in the US from 1989 to 2018. 

Despite the rise in annual US airline passengers from about 400 million in 1989 to nearly one billion by 2018, turbulence-related accidents have remained constant. If climate change were indeed making turbulence significantly worse, we would expect to see a corresponding increase in these accidents.

Yet, the data does not support this assertion. Instead, it suggests that the relationship between turbulence and climate change is either negligible or nonexistent.

In fact, the co-author of the original study cited in a BBC article admitted as much.

“When we add [data back to 2002] to the previous results, the statistical significance assigned to the…North Atlantic winter jet stream…disappears.”

This was conveniently left out of the BBC article.

This disconnect between obscure metrics and highly speculative models, and observable data is not limited to turbulence. 

The broader climate crisis narrative is built on similar shaky foundations. 

Let’s look at three more examples. 

No Increase in Extreme Weather: The number of hydrological, meteorological, and climatological disasters has remained relatively flat since 2000. If climate change were causing more extreme weather events, we would expect to see a clear increase in these numbers. Instead, the data, again, reflects no such increase.

No Increase in Loss of Life: Deaths from meteorological, hydrological, and climatological disasters have not increased. This is a critical metric because it directly reflects the human impact of these events. Despite frequent claims that climate change is making weather more deadly, the data does not bear this out.

No Increase in Costs: Global weather losses as a percent of global GDP have not risen significantly. This is another crucial metric because it accounts for the economic impact of climate-related disasters. If climate change were truly making these events more severe, we would expect to see a rising trend in economic losses relative to global GDP.

We are left with this conclusion:

The reliance on obscure metrics and highly speculative models
to support the climate crisis narrative often serves
to cloud the truth rather than illuminate it. 

By focusing on projections and models rather than observable data, environmental activists, climate scientists, attention-seeking politicians and click bait media make claims that are difficult to verify and easy to manipulate. 

The fear that fuels the “climate crisis” is simply not justified by the data. That’s why — over and over again — end-of-the-world predictions don’t pan out. 

This does not mean that we should ignore environmental issues. We live on the same planet. We all want clean air and water. 

However, it does mean that we should approach claims of climate catastrophe with a healthy dose of skepticism and demand that assertions be backed up by observable, measurable data. Given that politicians and government agencies are spending tens of billions of our tax dollars every year to “save the planet” that would seem to be the least they could do: give us some hard facts, rather than unproven assertions. 

And the hard facts are, turbulence-related accidents have not increased despite a massive rise in airline passengers. Extreme weather events, loss of life, and economic costs have not shown the dramatic increases that alarmists would have us believe. 

By focusing on observable data we can have a more grounded, rational discussion about our environmental challenges and how best to address them.

That’s the way to practical, real-world solutions.  The blame game — “it’s climate change” — gets us nowhere. 

I’m Matthew Wielicki for Prager University.

SEC Chair Revokes Illegal Climate Disclosure Rule

Posted on by Ron Clutz

Jon McGowan reports at Forbes Acting SEC Chair Says Climate-Related Disclosure Rule Is Illegal.  Excerpts in italics with my bolds and added images.

Background

Following the Paris Agreement in 2015, a series of global initiatives were pursued to reduce the impacts of climate change and reduce overall greenhouse gas emissions to “net zero” by 2050. The goal included a significant reduction in GHG emissions, but also utilized “offsets” that, through technology and protection of natural resources, would result in overall emissions being at a net of zero. This resulted in a carbon credit market that allowed high GHG emitting countries and businesses to purchase credits from underdeveloped countries that produce little emissions.

On the financial side, a multi-prong approach was used to influence and regulate businesses. Large investment firms, like BlackRock, used their influence to drive ESG and sustainability. By 2021, it was standard practice for businesses to release annual ESG and sustainability reports. However, there was no standardization of the practice. Claims were unregulated and content was unclear. As a result, reports were focused on what the business thought mattered to investors and were little more than marketing pieces.

This became problematic in the highly regulated financial industry. Funds that claim to be ESG, green, climate friendly, or sustainable must back up those claims with data. As a result of demand and Paris Agreement based initiatives, international regulators began drafting standards for reporting, marketing, and investments relating to climate change and other green initiatives.

In 2021, the International Sustainability Standards Board drafted the International Financial Reporting Standards Foundation’s Sustainability Disclosure Standards. IFRS is an independent, nonprofit organization that develops financial reporting standards, including international accounting standards. IFRS is not used in the U.S., who uses generally accepted accounting principles, also known as GAAP, but is used in 132 jurisdictions. The IFRS Standards were adopted in June 2023 as the global standard for sustainability and climate change reporting, including greenhouse gas emissions.

The US Securities Exchange Commission Story Regarding ESG

In the U.S., the SEC proposed the development of climate-related reporting standards in March 2022. The final rule, adopted on March 6, 2024, required large publicly traded companies to disclose climate action, GHG emissions, and the financial impacts of severe weather events. The Climate-Related Disclosure Rule was initially set to go into effect in 2026. However, it was immediately met with legal challenges and the SEC delayed implementation indefinitely while the cases worked through the judicial process. Now it appears the delay will become permanent.

Rough Seas for Captains of Industry

Under the leadership of Gary Gensler, the U.S. Securities and Exchange Commission saw a wave of regulatory and enforcement actions relating to environmental, social, and governance; sustainability; and climate change. It was clear that his exit, effective the day President Trump took office, would significantly alter the SEC’s approach to those topics.

On February 11, acting SEC Chair Uyeda, a Biden appointee, effectively ended the Climate-Related Disclosure Rule. In the statement, Uyeda said,

“The Rule is deeply flawed and could inflict significant harm on the capital markets and our economy.”

“Both Commissioner Peirce and I voted against the Rule’s adoption. Commissioner Peirce said that then-existing disclosure rules were sufficient and that the ‘[R]ule’s anticipated benefits do not outweigh the costs.’ She argued that ‘only a mandate from Congress should put us in the business of facilitating the disclosure of information not clearly related to financial returns.’ I stated that the Commission was ‘without statutory authority or expertise’ to address climate change issues and that ’this [R]ule is climate regulation promulgated under the Commission’s seal.’”

“The Commission’s briefs previously submitted in the cases consolidated in the Eighth Circuit do not reflect my views… I also question whether the agency followed the proper procedures under the Administrative Procedure Act to adopt the Rule.”

As a result, Acting Chair Uyeda has asked the court for a delay in the proceedings while the SEC takes action to rollback the Climate-Related Disclosure Rule. As a result, climate reporting at the national level is effectively dead. The focus now turns to the states and international actions.

 

Why Overturning Net Zero Hurts China

Posted on by Ron Clutz

As the image suggests, the push for Net Zero burdens western nations, but benefits China and Russia in different ways.  Russia pays lip service to the CO2 phobia, while its scientists and climate modelers know that any global warming will be modest and a boon to their high latitude country.  Thus, any economic and military self-destruction by other powers increases Russia’s position and security.

China’s gains from the Net Zero obsession have been greater and different.  First of all, China is protected from emissions reductions and economic development there can proceed unimpeded.

Secondly, and more significantly China has bet the house to be the dominant global supplier of  “Green” energy hardware like wind turbines, solar panels, electric vehicles and batteries.  Their great success makes them vulnerable should the rest of the world realize these are impractical solutions for an imaginary problem.  Walter Russell Mead explains in his article Trump Outsmarts China on Green Energy.  Excerpts in italics with my bolds and added images.

By dismantling the net-zero agenda, he ramps up economic pressure on Beijing

So much is happening so quickly in Washington these days that Donald Trump’s war on the green climate agenda has passed almost unnoticed. Steps like pulling out of the Paris Agreement, dropping electric-vehicle mandates, ending offshore leasing for wind projects, and fast-tracking fossil-fuel infrastructure would have dominated the news in quieter times.

But Mr. Trump’s climate policy matters for reasons that go beyond the climate debate. China has made Western climate policy a major focus of its economic strategy, and by pulling the rug out from under the global green agenda, the Trump administration is adding significantly to the economic pressure on Beijing.

Call it brilliant Chinese planning or gross Western incompetence, but the only real winner from the green agenda that Western governments have done so much to impose on the world is Beijing. Solar power cells, wind turbines, electric vehicles and the batteries that keep them moving: China has swiftly established dominance in one critical industry and supply chain after another.

This diagram shows the origin of the metals required for meeting the 2030 goals. The left side of the diagram shows the origin, based on today’s global production of metals. The right side shows the cumulative metal demand for wind and solar technologies until 2030. From study showing tonnage of Dutch demand only.

This was eminently foreseeable. The Chinese Communist Party’s economic planners in Beijing are the most effective technocrats the world has ever known, eclipsing the fumbling Soviet planners of the Khrushchev and Brezhnev eras. Give them a set of targets, a timetable and a list of technologies to promote, and they will coordinate state policy, banking subsidies and market forces to produce world-beating industries in record time.

China’s production capacity for these materials and components dwarfs the rest of the world – exceeding global demand in many cases. Source: James Kennedy https://us.docworkspace.com/d/sIAGK_NAjoOC-lAY

The European and American architects of the green transition were
unintentionally creating a playing field ideally suited to China’s core
strengths, and Beijing took full advantage.

But even the most brilliant planners make mistakes. China today is a combination of extraordinary economic and industrial success and monumental failure. The ruinous demographic consequences of its one-child policy, the explosive mix of financial and social pressures wrapped up in the real-estate bubble, and the excess industrial capacity resulting from decades of aggressive state planning loom ever larger over China’s future. Mr. Trump’s proposed upending of global climate policy would transform China’s drive to dominate the energy transition from a major win to an expensive misfire for Beijing.

The net-zero agenda, a set of targets and strategies by Western governments and climate diplomats to arrest global warming by limiting emissions, is the most audacious international effort in diplomatic history. It seeks to persuade or compel every country on the planet to make a transition to energy production that does not add carbon dioxide to the atmosphere. The costs of the transition easily run into the trillions of dollars. The social and economic impact will transform everything from agriculture to manufacturing.

An enterprise this ambitious requires enduring political support. As time goes by, the costs of the energy transition inexorably rise, and opposition to the project grows as more interests are affected. Proponents understood this and counted on three factors to ensure that progress toward net zero continued even as opponents dug in their heels.

  1. Blame Natural Disasters on CO2 Emissions

First, as the growing costs of climate change ricocheted through the economy (driving up insurance costs in disaster-prone areas, for example, as weather risks grew), more voters would support net-zero policies.


2. Green Industries Lobby to Protect Their Interests

Second, industries that had invested in climate-friendly technologies (like automobile makers investing billions in EV-producing factories) would lobby politicians to protect their investments by maintaining the regulations and subsidies that made them profitable.

3.  Workers Wanting to protect their Green Jobs.

Third, as net-zero-friendly industries employed more workers, these beneficiaries of net-zero policies would support measures that protected their jobs.

Will those be enough to stop the rising wave of energy realism and loss of Net Zero faith?

Wright is now confirmed as US Secretary of Energy

EPA priorities Announced by Director Zeldin