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In the Wake of the News

Climate Objectives

One of the persistent objectives of climate change alarmists is concentrating populations in cities, in smaller dwelling units, close to public transportation and places of employment. Their objective is to reduce energy demand and consumption for space conditioning and miscellaneous energy end uses and reduce transportation energy consumption for commuting.

One obvious disadvantage to this objective is that many people prefer the suburban or rural lifestyle and must be coerced into compliance. Another is that urban development leads to the Urban Heat Island (UHI) effect, increasing the average temperature to which the population is exposed, aggravating the existing warming, to the extent that warming is an actual concern.

The current COVID-19 pandemic exposes another downside to the urbanization strategy. Living in close quarters and traveling by elevator, escalator, bus, light rail or subway makes “social distancing” during an epidemic or pandemic extremely difficult, if not impossible. Even walking on crowded sidewalks or in crowded markets raises exposure risk. Several large cities are currently requiring “sheltering in place” during the COVID-19 pandemic, since “social distancing” is far less practical than in suburban and rural settings.

This leads us to another of the persistent objectives of climate change alarmists and Malthusians – population control and population reduction. Reducing the population would reduce the ultimate population density of the cities, while also reducing the land area required to grow the food necessary to feed that population.

Numerous approaches to population reduction have been identified and several have been tried. All have been successful in reducing the population for a time, but overall population has continued to grow. History has shown that plagues and pandemics are highly effective but non-selective and difficult to manage population reducers. They are most effective in densely populated cities in which avoiding contact with the infected is most difficult.

Climate change alarmists tend to be globalists and socialists. Socialism’s less nuanced cousins, national socialism and communism, have used mass slaughter as an approach to population control and even genocide. This approach is more selective than plague or pandemic and far easier to control. However, it leaves societal revulsion in its path. This revulsion requires ruthless authoritarianism for its control.

The communist regime in China has controlled population growth and composition through stringent regulations on births per couple and selective abortion. However, they allowed parental sex selection, which resulted in a severe shortage of young females. Parental selection is now being permitted in several other nations, in addition to abortion for convenience and for the elimination of Down Syndrome and other birth defects.

Several nations are also permitting euthanizing the aged and infirm, in some cases against their will. There is also currently discussion of allowing the aged to die untreated as the result of COVID-19 infection, as an approach to preserving available hospital beds for younger and otherwise healthier patients.

Some climate change activists have suggested that euthanizing the old or allowing them to die untreated is one way to eliminate old climate change skeptics so that their cause can be advanced more readily.



Highlighted Article: Some Dilemmas of Climate Simulations


From: Watts Up With That?

By: Wallace Manheimer

Date: April 27, 2020


Some Dilemmas of Climate Simulations


"A great deal of the recommendation that the world should modify its energy infrastructure to combat climate change, costing tens to hundreds of trillions of dollars, is based on computer simulations. While this author is not what is called a ‘climate scientist’, a great deal of science is interdenominational, and experience from one field often can fertilize another.  That is the spirit in which this opinion is offered.  The author has spent a good part of his more than 50-year scientific career developing and using computer simulations to model complex physical processes.   Accordingly, based on this experience, he now gives his own brief explanation of his opinion, on what computer simulations can and cannot do, along with some examples. He sees 3 categories of difficulty in computer simulations, where the simulations go from mostly accurate to mostly speculative.  He makes the case that the climate simulations are the most speculative.

First consider the case where the configuration and equations describing the complex system are known," ...


Some Dilemmas of Climate Simulations


Tags: Highlighted Article

Juxtaposition - A Tale of Two “Crises”

Over the past year, there have been growing efforts to label climate change a “crisis” and begin dealing with it on that basis. These efforts have largely been ignored by the general public, primarily because there is no clear indication that the climate change which has been occurring is now, or is likely to become, a “crisis”. The two primary signals of climate change, near-surface temperature increases of 0.013°C and sea level rise of 3.0 mm per year, are undetectable without instruments and not easily detectable with them. The cumulative increases of approximately 1°C and 0.4 meters over the past 140 years have not resulted in any adverse impacts which are broadly perceived as a “crisis”.

Over the past 4 months, there has been growing global concern regarding the spread of the COVID-19 corona virus, its communicability, the severity of the infection and its growing lethality. The World Health Organization has declared the growing spread of the virus as a pandemic. The general public has not been allowed to ignore state and national government efforts to inhibit the spread of the virus. The rapidly growing numbers of infected and dead has occasioned requirements to “shelter in place” and practice “social distancing” to reduce potential exposure. The experience of approximately 60,000 deaths from the virus in the past 100 days has been impossible to ignore.

The contrast of global, national and public reaction to an obvious current global health crisis of pandemic proportions and the reaction to a potential “crisis” in the long-term future has been stark. The climate change issue has virtually disappeared in the media and from presidential politics, replaced by the global health crisis.

Climate change activists have had several interesting reactions to the shift in attention from climate change to COVID-19. Some have attempted to make a connection between climate change and the viral pandemic. However, flu viruses are largely cold season afflictions, so any connection to global warming is tenuous at best.

Others have pointed out the effects of government restrictions on a broad range of activities on global carbon dioxide emissions, suggesting the existence of a “silver lining” to the pandemic. However, this “silver lining” is not apparent to the afflicted.

Still others have suggested that the magnitude of the global response to the pandemic demonstrates a global ability to deal with the potential future climate “crisis” on some accelerated schedule. There have even been suggestions that the magnitude of the financial response to the pandemic indicates an ability to meet the goals and schedule of the Green New Deal in the US and the Green Deal in the UK. This position ignores the two order of magnitude difference in the funding involved.

Clearly, the obvious threat of the current pandemic has overwhelmed the far less obvious potential threat of continuing gradual climate warming and sea level rise in the attention of both global governments and their citizens. Equally clearly, the economic losses resulting from the pandemic and government efforts to control its spread will affect funding for climate change programs for the foreseeable future. Perhaps the most obvious funding “victim” will be the UN Green Climate Fund.


Tags: Covid 19

Highlighted Article: Climate Change – Ebb and Flow of the Tide


From: Watts Up With That?

By: Dr. Kelvin Kemm

Date: March - April 2020


Climate Change – Ebb and Flow of the Tide

Part 1 - March 27, 2020
Part 2 - April 16, 2020
Part 3 - April 20, 2020


"Emotional, agenda-driven politics confronts sound, evidence-based science

Dr Kelvin Kemm

The topic of global warming and climate change is far more scientifically complex than the public is led to believe.

Myriads of newspaper, magazine and TV items over decades have tended to simplify the science to the point at which the general public believes that it is all so simple that any fool can see what is happening. Public groups often accuse world leaders and scientists of being fools, if they do not instantly act on simple messages projected by individuals or public groups.

One often hears phrases like: ‘The science is settled.’ It is not. Even more worrying is that the reality of the correct science is actually very different to much of the simple public perception.

An additional complicating factor is that there are political groupings wanting to change the world social order and who are using the climate change issue as a vehicle to achieve these objectives. They want the ‘science’ to say what they want it to say and are not interested in the truth. Sections of the public, with noble good intentions, then frequently do not realise that they are being induced by such elements to unwittingly support a political agenda, which in reality is unrelated to the climate issue." ...


Climate Change – Ebb and Flow of the Tide

Part 1 - March 27, 2020
Part 2 - April 16, 2020
Part 3 - April 20, 2020




Tags: Highlighted Article

Signal / Noise Ratio (Climate Change)


“Signal-to-noise ratio (abbreviated SNR or S/N) is a measure used in science and engineering that compares the level of a desired signal to the level of background noise.”,


Previous commentaries (here, here, and here) have dealt with the signal to “noise” ratio of the primary climate change signals: temperature, sea level and extreme weather. The temperature signal has a significant natural noise component as well as a significant noise component resulting from “adjustment” of the temperature data. The sea level signal has a significant noise component, primarily because the surface of the global oceans is constantly disturbed by the effects of wind, tides and storms. The noise associated with extreme weather is largely the result of the episodic nature of extreme weather events which makes signal detection problematic.

The outputs of the climate models are frequently treated as signals. However, they are actually noise. Each of the many models produces varying outputs depending on the inputs used in each model run, so no individual model produces a signal. Each of the climate models produces different results, even when provided with the same inputs, so the ensemble of models does not produce a signal. This is the result of several factors, including the fact that none of the models have been verified and none have demonstrated predictive capability. The model outputs also vary because of the noise introduced by the ranges of values of the various inputs to the models.

Discussions of “tipping points” are noise, because the conditions required to trigger a “tipping point” are undefined and currently incapable of being defined. This is not to suggest that there is no such thing as a “tipping point’, as illustrated by the major cycles identified in paleoclimatic history. Something caused the earth to descend into the various ice ages; and, something caused the earth to recover from these ice ages. These triggers can be referred to as “tipping points”, though we do not understand what constituted the “tipping point”. In more recent history, we do not know what triggered the Little Ice Age or caused it to end. Politicians frequently warn about future possible “tipping points” being reached but are incapable of identifying the necessary conditions.

Projections of potential future events based on the climate models are also noise, because the outputs of the models are noise. Predictions of permanent droughts, excessive precipitation, stronger or more frequent storms, island submergence, crop failures, the end of snow and the emergence of an ice-free Arctic are noise in the absence of any clear underlying signal.

Efforts to attribute differences between storm frequency and intensity over time to climate change using attribution models are noise, because the models are unverified; and, the various attribution studies estimate very different climate change impacts on the storms studied.

Strident statements regarding the time remaining for precipitous action before a “tipping point” is reached and descriptions of current climate change as a crisis, or an existential threat, are also noise in the absence of a climate signal.

Arguably, the reports of the IPCC working groups, while noisy, are far less noisy that the IPCC Summary for Policymakers. The working group reports are intended to inform, though the information they present is not comprehensive or totally objective. The Summary for Policymakers is intended to influence its audience to incite action, yet another form of “noise”.


Tags: Climate Models, Climate Science

Highlighted Article: How the Green New Deal’s Renewable Energy Mining Would Harm Humans and the Environment


From: The Heartland Institue

By: Paul Driessen

Date: April 2020


How the Green New Deal’s Renewable Energy Mining Would Harm Humans and the Environment


Executive Summary


"The Green New Deal (GND)—promoted by Sen. Bernie Sanders (I-VT), Rep. Alexandria Ocasio-Cortez (D-NY), and several other prominent elected officials—aims to replace all fossil fuels and nuclear energy with so-called “renewable” energy sources, primarily wind and solar.

The justification for this extreme policy proposal is based primarily on the fear that carbon dioxide (CO2) emissions from oil, natural gas, and coal will cause catastrophic global warming, as well as concerns about the alleged dangers of nuclear power sources.

The scientific case that manmade global warming poses an “existential threat” to humanity is highly questionable, according to many scientists, and the safety record for nuclear power in this country thoroughly belies the claims against it.

However, what is beyond dispute is that eliminating fossil fuels and nuclear power would require literally millions of wind turbines, billions of solar panels, and several billion batteries like the half-ton power sources used in Tesla vehicles. This, in turn, would require a massive worldwide increase in mining for lithium, cobalt, copper, iron, aluminum, and numerous other raw materials.

Current mining operations to supply materials for today’s comparatively small amount of renewable power technology—plus batteries for laptop computers, smartphones, and electric cars—are already causing supply difficulties and serious problems for the ..."


How the Green New Deal’s Renewable Energy Mining Would Harm Humans and the Environment


Tags: Highlighted Article

Signal / Noise Ratio (Extreme Weather)

“Signal-to-noise ratio (abbreviated SNR or S/N) is a measure used in science and engineering that compares the level of a desired signal to the level of background noise.”,

In the previous commentaries on signal / “noise” ratio regarding temperature and sea level we discussed ongoing phenomena monitored by frequent measurements which displayed large measurement to measurement “noise” relative to the magnitude of the ongoing phenomena.

In the case of extreme weather, we are dealing with episodic events such as tropical cyclones, tornadoes, floods and droughts. These events are counted and/or measured on a seasonal, annual or multi-year basis, since they occur relatively infrequently. The  frequency of occurrence of these phenomena and their intensity or duration varies widely from year to year, as shown in the bar chart below for tropical cyclones.


North Atlantic Cyclone Activity 1950-2015


There is no clear trend in the data and there are order of magnitude year to year variations.

Tornadoes do not demonstrate the magnitude of year to year variation exhibited by hurricanes. However, they do present an interesting anomaly. Annual tornado reports show a positive trend, in part because of improved reporting of less intense tornadoes. However, the frequency of intense (F3-F5) tornadoes shows a declining trend.


Tornado Reports 1950-2006


The “noise” in the total tornadoes data is significantly greater than in the severe (F2-F5) tornadoes data.

Drought data displays very large variations in drought conditions, but with no trend toward increasing drought frequency, duration or severity.


Average Drought Conditions US 1895-2014


Precipitation data displays characteristics similar to the drought data, as expected, though with a slightly increasing trend.


US Precipitation Oct - Sept


The data for these episodic events, like the data for the near-surface temperature and sea level rise, provide no support for the existence of a crisis or emergency, particularly one caused by anthropogenic climate change.

The magnitude and apparent randomness of the year-to-year variations in these episodic events show no correlation with increasing atmospheric CO2 concentrations, or with the near-surface temperature and sea level rise data, no less any indication of potential causation. The tropical cyclone, drought and precipitation hint at long term cyclical variations, but the length of the data records are short relative to the periods of the major ocean oscillations, for example.

All of this indicates that there is much we do not currently understand about global or regional climate and the natural cycles which influence the climate, clearly indicating that the science is hardly “settled”. However, it does suggest high priority areas for future climate research, including study of the cyclical ocean phenomena such as the Pacific Decadal Oscillation and the Atlantic Multi-decadal Oscillation, both of which are long period phenomena which have not been thoroughly documented over multiple cycles.


Tags: Severe Weather

Guest Post: Environmentalists Should Hope for Quick Economic Rebound

Guest Post

From: International Climate Science Coalition (ICSC)

By: Dr. Jay Lehr and Tom Harris

Across the world, environmentalists are celebrating the huge reduction in air pollution and greenhouse gas emissions that has accompanied the shutdown in economic activities due to the COVID19 pandemic. On April 11th, the UK’s The Guardian newspaper quoted Carolina Urrutia, Bogotá, Columbia’s district environment secretary as saying “Without a doubt this pandemic is helping us improve air quality. With the city shut down, we are able to focus our efforts on other environmental factors.”

Similarly, writing on the Canadian Broadcasting Corporation website (updated on April 7), Canadian environmentalist Dr. David Suzuki cheered the environmental effects of the COVID-19-induced slowdown and asked, "will we celebrate the passing of the pandemic with an orgy of consumption and a drive to get back to the way things were before the crisis?”

Others seem to be taking a similar tack and indeed the COVID-19 emergency is already being presented in some circles as a dry run for the systemwide changes supposedly needed to address climate change.

But this is a serious mistake. No one is encouraging society to engage in "an orgy of consumption," of course. But, for society to properly protect the environment, Suzuki, Urrutia and indeed everyone concerned about the state of our air, land and water should hope that we "get back to the way things were before the crisis." If we can't, then few people will care much about environmental protection.

Only when we are affluent do we have the luxury to engage in environmental protection. While poor communities are usually willing to make sacrifices for some very basic components of environmental improvement such as safe drinking water and waste disposal, greater protections are not often instituted. However, as income rises, citizens raise their environmental goals and willingness to pay for a cleaner environment.

As early as 1943, prominent American psychologist Abraham Maslow showed that, once the basic needs of food, clothing and shelter are met in a society, people may demand less critical options such as greater environmental protection. These might deal with such things as cleaner air and rivers, recreation and the setting aside of protected wildlife areas. These less-personal demands are usually more community-focused. Clearly, with higher incomes, citizens place a greater priority on their environment. This is precisely what happened in America following the post–World War II economic expansion.

This powerful correlation between increasing affluence and the emergence of quality of life issues was first documented in the 1950s by American economist and statistician, Simon Kuznets, the winner of the 1971 Nobel Memorial Prize in Economic Sciences. It led to the development of the Environmental Kuznets Curve (EKC) which shows that, as development begins, environmental degradation increases until a per-capita income tipping point is reached, after which the environment begins to improve.

The EKC was well illustrated by a study by Grossman and Krueger (1995) that showed that air quality tends to deteriorate until per-capita income reaches between $6,000 and $8,000 per year (in 1985 dollars), after which it begins to improve sharply. A study by D. Coursey in 1992, found that the willingness of citizens to spend and sacrifice for a better environment rose twice as fast as per-capita income. Later research has shown similar relationships for a wide range of countries and various measures of environmental protection.

There is not a single EKC relationship between wealth and environmental improvement for all pollutants, places and times, of course, but the general relationship is always closely adhered to.

Strident environmentalists have long ignored, misunderstood or downplayed these issues. They instead have mistakenly viewed economic growth as the cause rather than the solution to environmental problems.

Factors such as strength of democratic institutions, levels of educational achievement, and income equality also play important roles in environmental protection.However, prosperity obviously has a beneficial effect on these variables. It is essentially a positive feedback mechanism.

In the final analysis, the productivity and wealth of nations depends more on their institutions, laws, incentives and regulations than on their natural resources. Countries where private property rights are defined, protected and tradable have significantly greater per capita wealth, economic growth rates and rising standards of public health along with environmental quality. Clearly, environmentalists, David Suzuki and Carolina Urrutia included, should be hoping our economies rebound quickly after the immediate crisis.

Tags: Guest Post

Secret Science

US EPA has revised its rules regarding the use of “secret science” in its rulemaking processes. The revised rule now gives preference to scientific studies for which underlying data and models are available in sufficient detail to permit independent validation. This revision softens the position regarding reliance on “secret science”, largely in response to concerns about the security of study data which would permit identification of study participants. However, in almost all cases, the identity of study subjects could be protected while still providing sufficient study detail to permit validation of study methods and conclusions.

This EPA rulemaking draws attention to the broader issue of providing access to study data and models on scientific studies which do not involve human subjects. There is an acknowledged reproducibility crisis in science not limited to EPA epidemiological research. EPA has begun to address the issue, but it is long past time for other research funding agencies to address the issue as well.

Government funding agencies are in a strong position to address the issue. Requests for Proposals (RFPs) can stipulate that all study methods, data, analytical approaches and models be publicly disclosed at the conclusion of the specific project. Compliance could be assured by conditioning final payment on acceptable disclosure as stipulated in the RFP.

Scientific journals are also in a strong position. Journals can refuse to submit research papers for peer review unless acceptable disclosure has occurred. Journals can also refuse to publish research papers if peer reviewers are not satisfied with the authors’ disclosures. How is meaningful peer review possible if the reviewers do not have access to study methods, data, analytical approaches and models? Journals can also increase confidence in the peer review process by including a skeptical peer among the reviewers and avoiding “pal review”, especially the practice of allowing authors to select the peers they wish to review their work.

Privately funded research could also be subjected to rigorous peer review through the use of Non-Disclosure Agreements (NDAs), though this is more problematic. However, corporations planning major investments to commercialize the results of their research might well encourage critical peer review prior to investment decisions. Corporations also face potential legal liability if they produce ineffective or dangerous products resulting from their research.

The broader scientific community should insist on more thorough disclosure and more rigorous peer review to reverse the current irreproducibility crisis and avoid major issues in the future.

The climate science community should be particularly sensitive to these issues, as should the government agencies funding climate science research. The refusal of noted climate scientists to provide disclosure regarding controversial results, such as the infamous “hockey stick”, and the stated willingness of other climate scientists to “lose data” rather than sharing the data with skeptical scientists are clear indications of potential problems in the climate science community. Efforts to prevent the publication of research results which do not support the consensus narrative, the exclusion of such research results from consideration in the IPCC Assessment Reports and attempts to delegitimize skeptical scientists are further indications of problems in climate science.


Tags: Secret Science, EPA, Peer Review, Policy

Signal / Noise Ratio (Sea Level)

“Signal-to-noise ratio (abbreviated SNR or S/N) is a measure used in science and engineering that compares the level of a desired signal to the level of background noise.”,


Another of the primary focuses of climate science is the global sea level and particularly the rate of global sea level increase and any acceleration in that rate of increase. The long historical record of sea level increase has been established using tide gauges along the oceans’ shorelines. More recently, global sea level rise is being measured using satellites in polar orbit which completely scan the oceans every ten days. The tide gauge records indicate a rate of sea level rise of approximately 1.8 mm per year. The satellite records indicate a rate of rise of approximately 3.4 mm per year.

These measured rates are obviously different, but it must be remembered that they are measuring different things and at different frequencies. The measurement of greatest interest is the sea level rise at the shorelines, where the oceans meet populations and their infrastructure. The graph below shows the historic sea level rise at a location in coastal Virginia since 1920, as measured by local tide gauges. The legend on the graph identifies the uncertainty in the measurement of +/- 0.22 mm [per year. However, the uncertainty in the monthly average measurements is +/- 5 mm.


NOAA Sea Level Data and Trend


The annual rate of sea level rise at this site is well above the average, but it still is significantly lower than the monthly “noise”, which ranges up to approximately 300 mm. One of the contributors to this above average rate of sea level rise is subsidence of the land along the shoreline as a result of unstable soils and groundwater extraction.

The graph below shows the global sea level rise measured by satellite. Again, note the “noise” in the data relative to the annual change. This noise is largely the result of the continuously changing surface condition of the oceans, which range from ripples to swells to waves of varying heights, depending on wind and storm conditions.


Satellite-based Global Sea Level Change


The satellite record currently exceeds 30 years, so that it can be used as a climate reference period. However, it must be noted that the uncertainty of the individual satellite scans of sea level is +/- 4 mm, which is very similar to the uncertainty of the tide gauge records and larger than the annual rate of sea level rise, which is indicative of a very low signal to noise ratio.

There is a high level of interest within the climate science community regarding any potential increase in the historical rate of sea level rise. There is no indication of acceleration in the tide gauge data, though some researchers believe there is such an indication in the satellite data, though the satellite record is quite short. However, the magnitude of the suggested increase in the rate of sea level rise is approximately an order of magnitude less than the annual rate of sea level rise, making it far more difficult to determine against the background “noise”.


Tags: Sea Level Rise, Sea Level Change

Signal / Noise Ratio (Temperature)

“Signal-to-noise ratio (abbreviated SNR or S/N) is a measure used in science and engineering that compares the level of a desired signal to the level of background noise.”,


One of the primary focuses of climate science is the change in global near-surface temperature, particularly the changing anomaly between current global near-surface temperature and the average global near-surface temperature during a reference climate period.


US Jan-Dec Average Temperature Anomaly


The graph above shows the annual average near-surface temperature for the contiguous United States, as measured by the US CRN weather stations, over the entire period of operation of the CRN through 2018. The “signal” climatologists are seeking is the long-term average rate of increase of near-surface temperature, or the long-term average rate of increase of the anomaly relative to the climate reference period. In the graph above, the increase in the annual anomaly over the 14-year period from 2005-2018 appears to be approximately 0.1°C, or 0.07°C per decade.

In this graph, the individual annual anomalies vary over a range of approximately 1.7°C, or approximately 17 times total change in the average anomaly over the period of operation of the US CRN. The rate of change of the annual average anomalies varies from approximately 0.1°C per year to approximately 1.6°C per year. This is the “noise” from which the long-term anomaly “signal” must be distinguished. This represents a formidably low “signal” to “noise” ratio.


US Average Temperature Anomaly


The graph above, also from NOAA, shows the monthly anomaly values for the entire period of operation of the US CRN through July 2019. This graph also includes a plotted trend line for the period, showing an increase of approximately 0.5°C over the 14.5-year period. This is a significantly higher rate of increase than is indicated by the annual average values in the previous graph. Note also the extent to which annual averaging diminishes the relative magnitude of the “noise”; and, that the rate of change of the monthly anomalies ranges up to 4°C per month.


US Jan-Dec Average Temperature Anomaly


The graph above displays the annual average anomalies for the contiguous US over the period from 1988 through 2018. The anomalies for the period from 1988 through 2005 are from the US Historical Climatology Network, which are also shown overlaid on the US CRN values for the period 2005-2012. The total annual anomalies vary over a range of approximately 2.2°C. In the graph above, the increase in the annual anomaly over the 30-year period appears to be approximately 0.7°C, or approximately 0.23°C per decade. This is approximately 3 times the rate of increase over the final 14 years of the period.

These differences highlight the importance of the period selected for analysis, especially in a situation in which the “signal” to “noise” ratio is substantially less than 1. It is also important to note that the US CRN values are unadjusted, while the US HCN values are “adjusted” in an attempt to correct biases and errors in the raw data. It is reasonable to assume that the close match between the US CRN values and the US HCN values over the period of overlap from 2005-2012 is the result of “adjustments” to the US HCN data.

The magnitude of the anomaly variations (“noise”) over the period relative to the magnitude of the warming ”signal” is a clear illustration of the effects of natural variations in the earth’s weather relative to the magnitude of the “forced” climate warming.


Tags: Temperature Record, US Climate Reference Network (CRN)
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