Ned Nikolov: Does a Surface Solar Radiation Dataset Expose a Major Manipulation of Global Temperature Records?

Posted: July 11, 2022 by tallbloke in climate, Clouds, Dataset, solar system dynamics

Once again it’s my pleasure to publish a new paper by Ned Nikolov and Karl Zeller at the Talkshop. In this study, we see the presentation of a climate conundrum, and recent surface solar radiation data which helps shed new light on the questions surrounding the ongoing adjustment of global temperature datasets. This new study applies theory developed in Ned and Karl’s previous paper to enable quantification of the global temperature drop during the “1970s ice-age scare”. This won’t be the last word on the topic, but it offers a solid grounding for further research.

A PDF version of this article can be downloaded here.

Implications of a New Gridded Dataset of Surface Solar Radiation
for the Evolution of Earth’s Global Surface Temperature Since 1960

Ned Nikolov, Ph.D. and Karl Zeller, Ph.D.
July, 2022


A new data set of measured Surface Solar Radiation (SSR) covering six continents (Yuan et al. 2021) reveals that the Earth surface received annually 6.6 W m-2 less shortwave energy in 2019 than it did in the early 1960s, and that the average solar flux incident on land decreased by 8.2 W m-2 between 1962 and 1985. Since the Sun is the primary source of energy to the climate system, this pattern of SSR change over the past 60 years (oftentimes referred to as global dimming) suggests that the early 1960s were much warmer than the present. However, all modern records of global surface air temperature show a net warming of about 1.0 K between 1962 and 2019. We investigate this conundrum with the help of an independently derived model (previously verified against CERES observations) that accurately converts observed SSR anomalies into changes of global surface temperature. Results from the SSR-based temperature reconstruction are compared to observed global surface temperatures provided by UAH 6.0 and HadCRUT5 datasets. We find that the SSR-based global temperature estimates match quite well the UAH satellite record from 1982 to the present in terms of overall trend and interannual variability suggesting that the observed warming of the past 40 years was the result of a decreased cloud albedo and an increased SSR rather than rising atmospheric CO2 concentrations. The HadCRUT5 record also shows a satisfactory agreement with the SSR-based temperatures over the same time period. However, between 1962 and 1983, the SSR-based temperature reconstruction depicts a steep global cooling reaching a rate of -1.3 K/decade during the 1970s. This is drastically different from the mild warming claimed by HadCRUT5 over this time period. The cooling episode indicated by the SSR data is corroborated by more than 115 magazine and newspaper articles published throughout the 1970s as well as a classified CIA Report from 1974 all quoting eminent climatologists of the day, who warned the public that the observed worldwide drop of temperatures threatened the global food supply and economic security. Based on this, we conclude that researchers in charge of the HadCRUT dataset have likely removed the 1962 – 1983 cooling episode from the records before the publication of HadCRUT1 in 1994 in an effort to hide evidence contradicting the UN Resolution 43/53 from 1988, which proclaimed a global warming caused by greenhouse gases as a major societal concern, and urged Governments to treat it as a priority issue in climate research and environmental protection initiatives.

  1. Introduction

It is a matter of conventional wisdom now that the Earth was significantly cooler during 1960s compared to the 21st Century. Similarly, no one disputes that the planet’s surface temperature was 1.2oC lower in the beginning of the 20th Century compared to the present. This paradigm of climate change is based on surface temperature records maintained by several research teams that show remarkable consistency with one another. Figure 1 portrays global temperature anomalies based on 6 datasets supposedly constructed using different approaches summarized by Morice et al. (2021). All global records depict a nearly continuous warming since 1920 with a brief pause of the temperature rise between 1940 and 1980. No record shows a drop of global temperature between 1960 and 1980, which is at odds with a well-documented, decade-long discussion in the media about an ongoing rapid cooling during the 1970s currently known as the “1970s ice-age scare”.

Figure 1. Global surface temperature anomaly from 1850 to 2021 according to 6 official data sets. Note the remarkable consistency among various time series (borrowed from Fig. 8 of Morice et al. 2021).

Modern climate science dismisses as a myth the scientific consensus of the 1970s that the Earth was cooling and the widespread belief at the time that a mini-ice age was approaching (Peterson et al. 2008). Based on global temperature records depicted in Fig. 1, which show a 0.4oC warming between 1965 and 1980, the “ice-age scare” of 1970s is now explained away as a media hype not supported by actual science. This is in spite of the fact that in 1974, the US Central Intelligent Agency (CIA) issued a classified internal Working Paper/Report, now available at the Digital Library website of the US Department of Homeland Security, addressing an observed global cooling and its impact on the World’s food supply. The Paper entitled “A Study of Climatological Research as it Pertains to Intelligence Problems” was prompted by national security concerns about future food shortages resulting from ongoing worldwide crop failures in the late 1960s and early 1970s caused by cold and excessively wet weather or unusual droughts, and the emergence of social unrest in some developing countries as a result. We discuss this CIA Paper in more details in Section 4.1 below. During the 1970s, the press quoted numerous eminent climate scientists of the day from Stanford University, MIT, UK’s University of East Anglia, and other accredited academic institutions, who warned the Western society about a looming long-term cooling that could lead to a full-scale Ice Age. These facts are now being downplayed using the argument that a global cooling never took place in the 1970s. However, a new gridded dataset of measured Surface Solar Radiation (SSR) on land spanning the period 1961 – 2019 published in the Journal of Climate last year (Yuan et al. 2021) suggests otherwise. SSR is the shortwave flux (W m-2) incident on a horizontal plane at the Earth surface. The time series of globally averaged SSR anomalies estimated by Yuan et al. (2021) indicate the need to reassess the evolution of Earth’s global temperature from the early 1960s to the mid-1980s.

Yuan et al. (2021) retrieved ground-based SSR data from the Global Energy Balance Archive (GEBA) representing 1,486 monitoring stations spread across 6 continents. The authors employed a machine learning method called “random forest” to interpolate the observed monthly SSR anomalies at individual locations to a uniform 0.5° × 0.5° grid covering all land masses except for Antarctica, where no SSR observations were available. Random forest uses a multitude of regression decision trees, and has been shown to be vastly superior to conventional deterministic spatial interpolation techniques in terms of prediction accuracy and performance stability (Leirvik & Yuan 2021). The method utilized 15 predictors of SSR to spatially interpolate the point observations including 9 climatic variables, 2 geographical coordinates, and 2 temporal parameters (month and year of observation). The authors found that the diurnal temperature range and cloud coverage provided the greatest explanatory power for the SSR interannual variability. The study produced the first and only land-based gridded global monthly SSR data set spanning a period of almost 60 years. We contacted the lead author Dr. Meghan Yuan and obtained annual time series of SSR anomalies for each continent and the Globe as a whole. Figure 2 depicts these time series, which are also shown in Fig. 5 by Yaun et al. (2021).

Figure 2. Annual anomalies of Surface Solar Radiation (SSR) over the period 1961–2019 for each continent and the World according to Yuan et al. (2021). SSR is the total shortwave flux (W m-2) reaching a horizontal plane at the land surface.

The data reveal that SSR decreased significantly between 1961 and 2019 on four out of the six continents. Europe had a moderate SSR increase over this period, while Oceania experienced a nearly zero trend. On a global scale, SSR steeply declined between 1961 and 1985 at a rate of -3.73 W m-2 per decade (Fig. 3), which is often referred to as global dimming. This was followed by a partial SSR recovery from 1982 to the present at a rate of +0.33 W m-2 per decade, which could be characterized as a modest global brightening. Measurements depicted in Fig. 3 indicate that the land masses on Earth received on average 6.6 W m-2 more solar radiation in the early 1960s than they did in the 21st Century. Since the Sun is by far the main source of energy to the climate system, a higher SSR in the early 1960s implies a warmer Earth surface compared to today. To put the observed net SSR drop of 6.6 W m-2 from 1960s to the present into a perspective, consider that climate models predict a 3.0 K warming on average (with a range between 2.5 K and 4.0 K) in response to a 3.74 W m-2 radiative forcing attributed to a doubling of atmospheric CO2 concentration (IPCC AR6: Climate Change 2021: The Physical Science Basis. Summary for Policymakers, p. 11). However, while the CO2 “radiative forcing” is a modeled quantity that has not been observed in reality, SSR is a parameter measured by physical instruments such as pyranometers. Hence, one might ask: What global cooling could be expected from a 6.6 W m-2 decrease of measured SSR? We will answer this question here with the help of an independently derived, generic mathematical model that relates changes of global surface temperature to variations in absorbed solar radiation by a planet (Nikolov & Zeller 2022). The model was successfully verified against Earth’s reflected solar fluxes measured by the Clouds and the Earth’s Radiant Energy System (CERES) for the past 20 years (see Figures 3 and 4 in  Nikolov & Zeller 2022).

First, we will evaluate the potential of the new global SSR series to explain the observed warming since 1982. This will also serve as a test of whether or not the Nikolov-Zeller (NZ) albedo-temperature model could be trusted to correctly reconstruct the global temperature response to an observed SSR drop of 8.2 W m-2 between 1962 and 1985 shown in Fig. 3. 

Figure 3. Land-based global annual SSR anomalies with respect to the 1981 – 2010 reference period according to Yuan et al. (2021).

2. Method for Estimation of Global Temperature Variations from Observed Annual SSR Anomalies

Nikolov & Zeller (2022) derived the following analytical formula to compute the equilibrium sensitivity of a planet’s global surface temperature to changes in absorbed solar radiation:

where ΔT (K) is the departure of surface temperature from a baseline value  Tsb (K) in response to a change in absorbed solar radiation Δsa (W m-2); S is the top-of-the-atmosphere total solar irradiance (TSI, W m-2), and αb is the baseline planetary Bond albedo (faction) corresponding to Tsb. Note that, if Δsa = 0 then ΔT = 0 as well.

Equation 1 can be used to estimate changes of global surface temperature in response to observed SSR anomalies over land depicted in Fig. 3. To this end, one must know average values of the absolute global surface temperature Tsb and the Earth’s Bond albedo αb during the reference period 1981 – 2010. One must also have a time series of annual TSI data available spanning the period 1961 – 2019. Finally, the SSR anomalies depicted in Fig. 3 must be converted into anomalies of total absorbed solar radiation Δsa.

Jones & Harpham (2013) reported that the absolute average surface temperature of the World during the 1981 – 2010 period was between 13.9 and 14.2 °C. Taking the mean of this range we assumed Tsb = 287.2 K (14.05 °C). Based on an extensive review of Earth’s albedo estimates and their history conducted by Stephens et al. (2015), we adopted αb = 0.2942 for the period 1981 – 2010. Annual TSI values shown in Fig.4 were provided by Prof. Nicola Scafetta (personal communication) based on the AcrimSat observational record from 1980 to the present and proxy-based solar reconstructions prior to 1980.

Figure 4. AcrimSat record of total solar irradiance (S) at the top of the atmosphere (TOA) employed in this study.

The SSR anomalies ( Δsd ) can easily be converted into anomalies of total absorbed solar radiation by the Earth-atmosphere system ( Δsa ) required in Eq. 1, if one knows the Earth’s average surface albedo ( αs ) and the atmospheric fraction of absorbed solar radiation ( fa ), using the formula:

Wild et al. (2013) provided global estimates of the Earth’s energy budget parameters along with their uncertainty ranges from a surface perspective (see their Fig. 1). Their data suggest 0.116 ≤ αb ≤ 0.145 and 0.308 ≤ fa ≤ 0.378 . Based on these ranges, the following limits are obtained for the conversion factor in Eq. 2:

Thus, the total absorbed solar radiation by the Earth-atmosphere system is 23.6% to 42.1% greater than the corresponding shortwave flux received on a horizontal plane at the Earth surface. Figure 5 shows annual anomalies of the total absorbed solar radiation estimated by Eq. 2 using the SSR time series depicted in Fig. 3. On average, the Earth absorbed between 9.1 and 10.5 W m-2 more solar radiation in the early 1960s than it did during the 1981 – 2010 reference period. This was most likely a result of a reduced cloud cover/albedo during the 1960s. Even when compared to 2019, the early 1960s saw 8.5 W m-2 higher planetary absorption of shortwave radiation than the present. In terms of absolute values, this measured solar forcing is more than 2 times greater than the modeled (but never observed) radiative forcing of 3.74 W m-2 attributed to a doubling of atmospheric CO2 concentration (Gregory et al. 2004). Hence, based on this fact alone, it is reasonable to expect that the early 1960s were globally much warmer than the second decade of the 21st Century, and that a rapid and significant cooling took place in 1970s. Figure 6 depicts the dynamics of total absorbed solar radiation by the Earth-atmosphere system, which was obtained by adding the anomalies depicted in Fig. 5 to the average shortwave absorption Sa = 240.2 W m-2 during the 1981 – 2010 period. This average solar flux was calculated from mean values of TSI (S = 1,361.35 W m-2) and Earth’s Bond albedo ( αb = 0.2942) during the reference period using the formula:

Figure 5. Global annual anomalies of absorbed total solar radiation by the Earth-atmosphere system with respect to the 1981 – 2010 reference period estimated from observed SSR anomalies (Yuan et al. 2021) in Fig. 3 using Eq. 2.


Figure 6. Annual absorbed total solar radiation by the Earth-atmosphere system calculated from anomalies shown in Fig. 5 and an estimated average absorption of 240.2 W m-2 during the 1981 – 2010 reference period.

The annual anomalies of absorbed shortwave radiation ( Δsa ) depicted in Fig. 5 can be used to reconstruct the dynamics of Earth’s Bond albedo implied by the SSR measurements. To this end, one must first compute the albedo anomalies ( Δα ) using the relationship from Eq. 17 in Nikolov & Zeller (2022):

Next, the albedo anomalies are added to the average Bond albedo during the 1981 – 2010 reference period αb = 0.2942. Figure 7 displays the resulting time series of Earth’s total albedo. From these data, one can calculate the reflected solar radiation by the Earth-atmosphere system and compare these estimates to independent measurements by CERES, which we discuss in Section 3.1.

The time series depicted in Fig. 5 were used with Eq. 1 to produce upper and lower estimates of ΔT for each annual anomaly of absorbed solar radiation. The resulting temperature patterns are discussed in Section 3.

Figure 7. Reconstructed Bond albedo of Earth based on globally averaged SSR data over land reported by Yuan et al. (2021).

3. Results

Since physical and biological processes in Earth’s ecosystems are controlled by absolute temperatures rather than temperature anomalies, we converted the ΔT estimates obtained from Eq. 1 to absolute Kelvin temperatures by adding the average absolute temperature of the 1981 – 2010 reference period Tsb = 287.2 K (Jones & Harpham 2013) to the modeled series of temperature anomalies. We used a similar approach to also convert observed global temperature anomalies in the lower troposphere and at the Earth’s surface reported by UAH and HadCRUT5 to absolute surface air temperatures. Thus, all comparisons of temperature series in this Section utilize the absolute Kelvin scale. We begin with a discussion about reconstructed global surface temperatures from SSR anomalies for the period 1982 – 2019.

3.1 Reconstruction of Global Surface Temperature Dynamics During the Satellite Era (1982 -2019)

Figure 8 portrays the reconstructed dynamics of global surface temperature based on SSR data from 1982 to the present. The upper and lower temperature estimates were obtained from the corresponding upper and lower time series of absorbed shortwave-radiation anomalies shown in Fig. 5 using Eq. 1. The difference between the two estimates is rather small over this period, which is also reflected in the 37-year warming trend ranging from 0.12 to 0.14 K/decade.

Figure 8. Reconstructed dynamics of the average global surface air temperature during the period 1982 – 2019 based on SSR data provided by Yuan et al. (2021). The upper and lower estimates are calculated from time series of absorbed solar radiation anomalies shown in Fig. 5 using Eq. 1 and then converted to absolute surface air temperatures as described in the text.

Figure 9 compares temperature reconstructions based on SSR data to observed global surface air temperatures inferred from official institutional records provided by UAH (using a satellite-based microwave measurement platform) and HadCRUT5 (utilizing a ground-based network of thermometers). The SSR-based upper temperature estimate has a trend of 0.14 K/decade, which is identical to the UAH’s trend over this time period. The HadCRUT5 record shows a bit higher warming rate of 0.2 K/decade for the past 37 years. Note that the UAH record is inferred from satellite observation uniformly covering the entire Globe, while the HadCRUT5 series is based on non-uniformly distributed measuring stations mostly located on land with a rather sparse coverage of the ocean especially in the Southern Hemisphere. The steeper warming trend of HadCRUT5 appears to be a result of multiple adjustments done to temperature data after the fact. For example, the rate of global warming from 1950 to the second decade of the 21st Century has increased 28.2% between Versions 3 and 5 of the HadCRUT data set. Altering past temperature anomalies in an effort to generate more warming appears to be a routine practice by the Climate Research Unit (CRU) at the University of East Anglia. These periodic “adjustments” helped produce an “observed” global temperature record with a warming trend that matches the one simulated by CO2-driven climate models. However, a warming rate of 0.2 K/decade over the past 20 years is inconsistent with both CERES measurements of reflected solar radiation and land-based SSR data.

Figure 9. Comparison of 37-year global temperature trends between SSR-based reconstructions of this study and official institutional records based on direct observations. Upper Panel: SSR-reconstructed temperature and the UAH satellite record; Lower Panel: SSR-reconstructed temperature and the HadCRUT5 surface record.

A close examination of the data series in Fig. 9 reveals that observed global temperatures lag the SSR-based reconstructions by 1 to 4 years. This makes physical sense, if SSR were the driver of climate change for the past 40 years, because the Earth surface has a significant thermal inertia that delays the response of global temperature to perturbations in incoming solar radiation. The larger the interannual SSR perturbation the longer the expected lag as it is indeed observed. Figure 10 illustrates the match of interannual temperature variations between instrumental records and the SSR-based reconstruction after the reconstructed series has been shifted 1 – 3 years forward to account for a variable lag.

Figure 10. Comparison of interannual variations between instrumental records of global surface temperature and lag-adjusted SSR-based temperature reconstructions. The SSR-derived global temperature series was shifted forward by 1 year between 1982 and 1992 and by 3 years between 1993 and 2019 to reveal its alignment with observations. Upper Panel: SSR-reconstructed temperatures and the UAH satellite record; Lower Panel: SSR-reconstructed temperatures and the HadCRUT5 surface record.

Notice how well the SSR-guided global temperature reconstruction describes El Niño and La Niña events over the past 39 years. Yet, the overlap with global temperature records is not perfect, because these records represent averages that include ocean surface air temperatures, while the SSR-based reconstruction only relies on radiation measurements over land. The evidence presented in Figures 9 and 10 collectively points toward the following conclusions:

a) The overall upward trend and interannual variability of global surface temperature during the past 40 years have been caused by changes of cloud albedo and the resulting variations of SSR. This is in agreement with results from a previous analysis by Nikolov & Zeller (2022), which compared cloud-albedo variation measured by CERES to global surface temperature changes over the past 20 years;

b) Large El Niño events appear to be induced by synchronous changes of cloud cover and SSR over several continents at once 3 – 4 years before the event is registered by near-surface temperature measurements. Hence, the ENSO cycles are not triggered by heat fluxes periodically released from the Equatorial Pacific as currently believed (see this NASA webpage for a conventional explanation of ESNO), but are a result of changes in absorbed solar radiation by the Planet due to fluctuations of global cloud albedo.

The SSR-based reconstruction of Earth’s Bond albedo depicted in Fig. 7 can be used to estimate reflected shortwave radiation by the Planet and the results compared to independent measurements by CERES to provide yet another test of the hypothesis that observed changes in solar fluxes at the surface are caused by variations of cloud albedo. Reflected shortwave radiation ( Sr , W m-2) is a product of the albedo ( α ) and the planet’s average insolation ( S / 4 ), i.e.:

Figure 11 (Upper Panel) depicts the modeled evolution of reflected solar radiation between 1961 and 2019 based on reported SSR anomalies. The red curve represents independent measurements by CERES obtained after year 2000. The Lower Panel of Fig. 11 shows a close-up of the modern global warming period: 1985 – 2019. We chose 1985 as a start of the period, because this year marks an inflection point on the SSR curve between descent (dimming) and ascent (brightening) (see Fig. 3). Note that the 1985 – 2019 trend of reflected solar radiation derived from SSR data is quite similar to the 19-year trend of reflected shortwave fluxes measured by CERES in the 21st Century. This means that the CERES state-of-the-art observations are fully compatible with and confirm the downward trend of Earth’s cloud albedo implied by the SSR data. In addition, the SSR-based estimates of reflected solar radiation after year 2000 fall within 67% of the CERES measurement uncertainty (calibration error). Therefore, the comparison between SSR-inferred and CERES-observed fluxes of reflected shortwave radiation by Earth indicates that the SSR-based albedo estimates are robust, and one should trust model projections of a low planetary albedo and a high sunlight absorption by Earth during the early 1960s depicted in Figures 6 and 7.

Figure 11. Reflected solar radiation by the Earth-atmosphere system estimated from SSR data and measured by CERES. Upper Panel: during the 1961 – 2019 period; Lower Panel: during the recent period of global warming (1985 – 2019).

3.2 Reconstruction of Global Surface Temperature Dynamics during the 1962 -2022 Period

The ability of the NZ albedo-temperature model (Equations 1 through 3) to reproduce the overall trend and interannual variability of Earth’s global surface air temperature from measured SSR anomalies on land during the satellite era (Figs. 9 and 10) brings forth two conclusions: (a) The observed warming of the past four decades was most likely caused by a decrease of cloud albedo and a related increase of surface solar radiation, and not by rising atmospheric greenhouse-gas concentrations; and (b) The global temperature dynamics reconstructed from SSR data between 1961 and 1985 is most likely correct and should be taken seriously.

Figure 12 depicts the reconstructed dynamics of the global absolute surface air temperature from 1962 to 2022 based on SSR data. The discontinuity in the time series between 1993 and 1995 is a result of adjustments made to account for a variable time lag (see the caption of Fig. 12 for details). Note that the difference between lower and upper estimates is quite small compared to interannual and decadal temperature variations. SSR measurements suggest that the Earth cooled about 3.0 K between 1963 and 1985 and warmed approximately 0.6 K from 1985 to the present. Thus, the early 1960s were globally 2.4 K warmer than the present! This is a drastically different pattern of planetary climate change from the one portrayed in Fig. 1 and promoted by IPCC.

Figure 12. Reconstructed dynamics of the mean global surface air temperature during the 1962 – 2022 period based on SSR data provided by Yuan et al. (2021). The upper and lower estimates are computed from the two series of absorbed solar-radiation anomalies shown in Fig. 5 using Eq. 1. This is followed by a conversion of the resulting temperature anomalies into absolute surface air temperatures as described in the text. The reconstructed temperature series were then shifted forward 1 year between 1961 and 1992, and 3 years between 1993 and 2019 to account for an observed variable lag discussed in Section 3.1. This created a small discontinuity in the data between 1993 and 1995.

Figure 13 compares the reconstructed global temperature dynamics from SSR data to official temperature records from HadCRUT5 and UAH for the 1962 – 2022 period. The SSR-derived temperature series agrees quite well with observed global surface temperatures from 1983 to the present, i.e. over the past 39 years. However, prior to 1983, the SSR-derived estimates dramatically diverge from the HadCRUT5 record. Particularly notable is the rapid cooling evident in the SSR-based reconstruction between late 1960s and early 1980s, which stands in stark contrast to a mild warming claimed by the HadCRUT5 record for the same period. The SSR data suggest a 1.3 K drop of global temperature in a single decade, which gives credence to the “ice-age scare” documented in numerous reports by news media and Government agencies throughout the 1970s.

Figure 13. Global temperature dynamics reconstructed from SSR data and reported by UAH and HadCRUT5 datasets during the 1962 – 2022 period. Highlighted in light blue is the period of the “ice-age scare”, when news media, academic institutions, and Government Agencies intensely discussed an ongoing rapid cooling.

4. Discussion

The analysis of global SSR data provided by Yuan et al. (2021) strongly suggest that the 1960s were significantly warmer that the second decade of the 21st Century, and that a steep worldwide cooling of -1.3 K/decade took place during the 1970s and early 1980s, which is not present in any current official global temperature dataset (see Fig. 1). This begs the following questions: Is there evidence outside of the SSR data series corroborating this cooling? If such a cooling did occur, how can we explain its total absence from modern institutional temperature records? The Sections below address these issues.

4.1 Evidence for a Rapid Global Cooling from the Late 1960s through 1982

There are two lines of evidence supporting the occurrence of a major climate cooling between 1960s and 1982: (a) discussions in the “public square” about the impact of an ongoing cooling on agricultural production and the economy, and (b) tree-ring proxy temperature reconstructions.

During the decade of 1970s, more than 115 reports were published in newspapers, popular science magazines and by Government agencies discussing Earth’s rapidly cooling climate and a possible descent into a new Ice Age (see also this list of publications). These reports quoted prominent climate scientists of the day, who warned the Western society about the dire consequences of a prolong cooling for the World’s food supply. In the early 1970s, the cooling was attributed to human-induced air pollution (such as industrial emissions of particulate matter) blocking the Sun. Based on this belief, some experts called for outlawing of the internal combustion engine for vehicles and a strict control over all forms of fossil fuel burning in order to prevent the Earth from plunging into an Ice Age (e.g. The Owosso, Jan. 26, 1970). Ironically, western Governments now push for severely limiting the combustion of fossil fuels in an effort to “save the Planet” from overheating (see IPCC Special Report on 1.5oC Warming 2018)! However, by 1975, scientists admitted that they did not know, what was driving the observed cooling. Here are two prominent reports from that time that sounded the alarm about a cooling World.

In 1975, Newsweek published an article by Peter Gwynne, an Oxford graduate and award-winning science writer, entitled “The Cooling World” (see Fig. 14 for the full text of the article). In it, Gwynne quotes climate scientists from NOAA, Columbia University and the University of Wisconsin as well as reports by the National Academy of Sciences all confirming a significant cooling trend that has replaced 75 years of prior “extraordinary mild conditions”. He states that satellite photos have shown a sudden, large increase of winter snow cover in the Northern Hemisphere and that a NOAA study found a 1.3% reduction in the amount of sunshine reaching the surface of the Continental US between 1964 and 1972. This relative reduction of sunshine corresponds to about 3.25 W m-2 decrease in the mean annual SSR. For comparison, the dataset by Yuan et al. (2021) shows a SSR drop of 4.25 W m-2 over the North American Continent between 1964 and 1972. Gwynne writes that, although meteorologists may disagree about the cause and extent of the rate of cooling, they are “almost unanimous in their view that the cooling trend will reduce agricultural productivity for the rest of the century”. These are unusually strong statements, if there had been no cooling during 1960s and 1970s as claimed by modern climate records (Fig. 1).

Figure 14.The Cooling World”, an article by Peter Gwynne, an award-winning science writer and a former science editor of Newsweek, published in Newsweek on April 28, 1975.

By 1974, the cooling of the global climate had such a strong impact on the World’s economy that it became a national security issue and was addressed by a special classified Report of the US Central Intelligence Agency (CIA) entitled “A Study of Climatological Research as it Pertains to Intelligence Problems”.  The Report is currently available at the Digital Library of the US Department of Homeland Security. According to this document, an unfolding global crisis in the food supply chain triggered by a rapid cooling of Earth’s climate since 1965 made it urgent to develop methodologies capable of predicting future climate change. Such techniques were lacking at the time, the Report points out, because prior to 1960 the Planet was so warm and weather conditions so favorable for crop growth that forecasters viewed climate only as a minor factor in their agricultural projections. The 36-page CIA Report summarizes the state of climate science as it existed in the early 1970s by describing 3 main schools of thought (approaches) to understanding and predicting climate change. Notably, none of these schools considered atmospheric greenhouse gases as drivers of Earth’s climate! In fact, the Report does not even mention terms such as “carbon dioxide” (CO2) or “greenhouse-gas emissions”. This implies that the mainstream climate science of 1970s was not under the influence of the 19th-Century Greenhouse Theory, which now dominates academic research in this area. The Report also points out that the rapid cooling during the late 1960s and early 1970s triggered the preparation of a National Climate Plan as a joint effort of several US agencies. The Plan called for allocation of funding by the US Office of Management and Budget to establish a Center for Climate and Environmental Assessment at NOAA, which will be supported by the National Science Foundation and the US National Academy of Sciences. Other countries had also launched Climate Research Programs in response to rapidly deteriorating weather conditions from one year to the next, the Report states. Thus, the modern $2.5B annual climate research budget of the US, now mostly spent on studying anthropogenic global warming, originated from an unusually severe cooling episode during 1960s and 1970s. It is sobering to realize that, if it was not for the threat posed by a cooling climate on the global agricultural production some 50 years ago, we would not now have a lavishly funded climate science!

If the Earth’s global temperature followed a trajectory claimed by the HadCRUT dataset, which shows a 0.4 K warming between 1965 and 1980, why would western Governments and our society as a whole have engaged in extensive discussions about a global cooling for a full 10 years during the 1970s? Such discussions only make sense, if the global temperature had been on a trajectory indicated by the SSR-based reconstructions shown in Fig. 13.

The second line of evidence for a steep global cooling during the 1962 – 1985 period comes from proxy temperatures inferred from tree-ring chronologies. This evidence is articulated in email exchanges between top scientists at the University of East Anglia’s Climate Research Unit (CRU) as well as US researchers that have become public through the 2009 Climate Gate leak. In 1999, the CRU Director Phil Jones sent an email describing a “trick” he performed on a tree-ring proxy series belonging to the CRU Deputy Director Keith Briffa that showed a sharp decrease of ambient temperature after 1961. In order to hide the unwanted decline, Jones decided to truncate the problematic proxy temperature series at 1961 and splice instrumental temperature records to it that showed a continuous warming. This is the infamous “hide the decline” email sent by Phil Jones to several leading climate scientists on Nov. 16, 1999.  In a 2005 email, Prof. Jonathan Overpeck, an interdisciplinary climate scientist at the University of Michigan, stated that there “is a real issue” in “showing some of the tree-ring data for the period after 1950” presumably referring to the fact that tree-ring proxy data often show a prolong cooling after 1950, which cannot be explained by the assumed continuous rise of atmospheric CO2 concentration for the past 70 years. For more details about these and other email exchanges, please review these blog articles: Hide the Decline; McIntyre (2011a); McIntyre (2011b);

4.2 Why is the Cooling of 1970s Absent from Modern Global Temperature Records?

The numerical analyses and facts presented above suggest that the 1960 – 1983 global cooling did occur but has been removed from the official surface temperature records. Such a removal was likely greatly facilitated by the deliberate use of temperature anomalies in place of absolute temperatures in all global datasets (Fig. 1). Figure 15 illustrates the possible reason for this act: the pronounced multidecadal cooling is incompatible with the smooth, continuous rise of atmospheric CO2 reported by Charles Keeling and supposedly based on measurements taken at Mauna Loa HI starting in March of 1958. In order to make a case for the anthropogenic climate change endorsed by Resolution 43/53 of the UN General Assembly in 1988, atmospheric CO2 and global temperature had to follow the same trajectory and be highly correlated with each other. A 22-year worldwide steep cooling episode during the second half of the 20th Century critically undermines the “Greenhouse” theory, which is at the core of the human-caused global warming concept promoted by the United Nations; hence, such a cooling was likely seen as politically “unacceptable”.

Note how closely the HadCRUT5 surface temperature record tracks the Keeling CO2 curve in Fig. 15. This tight fit is a result of numerous after-the-fact “adjustments” made to the HadCRUT dataset over the past 25 years. It appears that the cooling of the 1970s has been removed from the records prior to the release of HadCRUT1 in 1994 (Parker et al. 1994). According to Wikipedia, the initial work on assembling a gridded dataset of surface temperature anomalies began at CRU in 1978, but nothing was published until 6 years after the UN’s Resolution emphasizing anthropogenic global warming and 4 years after the publication of the IPCC First Assessment Report (FAR). Thus, HadCRUT1 was released long after the political winds have shifted toward blaming the industrial greenhouse-gas emissions for climate change.

Figure 15. Global temperature dynamics reconstructed from SSR data and reported by HadCRUT5 compared to the Keeling CO2 curve derived from measurements made at Mauna Loa, HI.

The following scenario is hypothetical but quite plausible. Since the 1988 UN Resolution on Climate Change and particularly after the establishment of IPCC in 1990, Government funding for climate research in all Western countries became increasingly geared toward programs investigating the effect of atmospheric CO2 on global temperature. This new research trend could not have remained unnoticed by scientists at the University of East Anglia’s Climate Research Unit, who were tasked with the development of the World’s first global gridded surface temperature dataset. It is conceivable that these researchers (now well-funded under the new UN Agenda) quickly realized that the rapid cooling of 1960s and 1970s would create a major scientific and political problem if included in the global temperature record and juxtaposed with the ascending Keeling curve of atmospheric CO2 beginning in 1958. Such an inclusion would have invalidated the “Greenhouse” theory of climate change and compromised the UN Agenda from the start. Thus, the CRU scientists dealt with the issue “appropriately” by simply removing the cooling episode from the global series of temperature anomalies.

5. Conclusion

A new global dataset of Surface Solar Radiation (SSR) published by Yuan et al. (2021) shows a large decrease in the average solar flux reaching Earth’s land masses between 1960 and the present. This prompted a reassessment of the known climate-change pattern during the 20th Century. The analysis of globally averaged SSR data revealed a 22-year long steep cooling episode between 1962 and early 1980s that is absent from current institutional global temperature records (Fig. 1), but was a topic of intense public discussions during the 1970s. These findings have serious implications for the “Greenhouse” climate theory and the hypothesis that industrial emissions of carbon dioxide and other “heat-trapping” trace gases were responsible for the observed warming in recent decades. The results obtained in our study call for an independent investigation of the methods and procedures employed in the development of global temperature datasets portrayed in Fig. 1. Such an investigation could also shed light on whether or not the recent warming constitutes a “climate crisis”.

  1. craigm350 says:

    Reblogged this on WeatherAction News and commented:
    Hubert Lamb wrote of the discrepancy between the documented cold period of the 60s and 70s and the continuing rise of CO2.

    As Ned highlights, it had to be removed. They made sure the awkward moment of discovery never happened.

    That’s how the party keep power – rewriting history and language.

    This GWPF report covers Lamb’s work during that period:

  2. Ned Nikolov, Ph.D. says:


    Thank you for this comment! The statement made by Hubert Lamb many decades ago is now fully supported by the latest SSR data and our global temperature reconstruction based on those data… I was not aware that even Callendar, who promoted the nonsensical “greenhouse” theory in 1930s, actually noticed & acknowledged the discrepancy between atmospheric CO2 trend and observed temperatures.

    I hope our analysis will make people seriously re-examine the global temperature records and how they have been developed… I think the fraud surrounding the processing of World’s surface temperature data has been massive and likely occurred before 1994.

  3. oldbrew says:

    In a 2018 article, ‘GEO-ENGINEERING: IGNORING THE CONSEQUENCES’, Tom Harris and Tim Ball wrote:

    From 1940 to almost 1980, the average global temperature went down. Political concerns and the alleged scientific consensus focused on global cooling. Alarmists said it could be the end of agriculture and civilization. Journalist Lowell Ponte wrote in his 1976 book, ‘The Cooling’:

    “It is cold fact: the global cooling presents humankind with the most important social, political and adaptive challenge we have had to deal with for ten thousand years. Your stake in the decisions we make concerning it is of ultimate importance; the survival of ourselves, our children, our species.”

    Change the word “cooling” to warming and it applies to the alarmist threats today.
    . . .
    During the cooling “danger,” geo-engineering proposals included:

    * building a dam across the Bering Straits to block cold Arctic water, to warm the North Pacific and the middle latitudes of the Northern Hemisphere;

    * dumping black soot on the Arctic ice cap to promote melting;

    * adding carbon dioxide (CO2) to the atmosphere to raise global temperatures.

    All these actions would impact global climate in unpredictable ways. Now we know they would have exacerbated the predominantly natural warming trend that followed.
    – – –
    At the time, few saw this coming…

    The 76/77 climate shift

    The climate shift is part of a phenomenon called the Pacific Decadal Oscillation

  4. Ned Nikolov, Ph.D. says:


    Thank you! The quote from the 1976 book “The Cooling” indicates that people were really scared about human survival in 1970s and rightfully so, because global temperature was almost in a free fall between1965 and the early 1980s. We see this clearly in the data shown in Fig. 13 above.

  5. oldbrew says:

    2018 study:

    The tropical Indian Ocean sea level displayed decadal variations in response to Pacific Decadal Oscillation (PDO). Contrasting patterns of decadal oscillation in sea level is found during the opposite phases of PDO especially in the thermocline ridge region of the Indian Ocean (TRIO; 50°E–80°E; 15°S–5°S). Epochal mean sea level rise is observed over the TRIO region during the cold phase of PDO (1958–1977), whereas epochal mean sea level fall is observed during the warm phase of PDO (1978–2002). [bold added]

  6. Ned Nikolov, Ph.D. says:

    The severe global cooling between 1962 and the early 1980 revealed by our analysis of SSR data and discussed in the above article has serious implications for the pattern of Earth’s global temperature change from 1880 to the present. Properly accounting for the cooling episode completely changes the temperature dynamics of our Planet during the 20th Century. See this graph for details:

    I will later post a separate article describing, how the new (reconstructed) temperature curve on the graph was obtained.

  7. Nelson says:

    Ned, The CERES data shows a decrease in reflected SWR from the Earth’s TOA. At the same time, the CERES data shows an increase in outgoing LWR radiation. Many have used this data to claim that the temperature increase since the 1980s is solar-related. I guess you are showing the same thing. The world temperature data shown by the big 4 data sets make no sense. 1921 was an extremely hot year around the world, yet it’s shown as cooler than the 1970s. The sharp drop in temperatures after the 1940s is well documented. The fact that the world temperature data has been adjusted to get rid of the decline is just sad. I don’t know what to make of the WMO temperature data prior to 1970. Again, this data shows no worldwide 1921 hot spell that is clearly in the historic record. The more you look at the early records, the less confidence one has in the reported worldwide temperatures. The good news is that with the CRN and satellite data, it is increasingly hard to fudge the data. A cooling period in the NH won’t be missed as the sea ice data will tell the tale. Too many different groups measure the data for it to be fudged.

  8. Ned Nikolov, Ph.D. says:


    Thank you for this comment. It only makes physical sense that a decrease of reflected solar radiation as measured by CERES since year 2000 would be associated with an increased outgoing LW radiation. That’s because a higher absorption of solar radiation by Earth due to a reduced cloud albedo would warm the surface and hence boost the LW flux emitted to Space.

    One of the important findings in our study is that CERES measurements of reflected shortwave radiation since year 2000 agree quite well with reflected solar fluxes estimated from SSR data based on a completely different monitoring method. Furthermore, global temperatures reconstructed from SSR data since 1983 match the satellite-based temperature record. These facts unequivocally points to the conclusion that the mild warming of the past 40 years was caused by a decrease of planetary cloud albedo rather than an increase of atmospheric CO2.

    The removal of the steep cooling episode between 1962 and 1983 from the surface temperature records is perhaps the mother of all data manipulations (fraud) committed in the name of “climate change”.

  9. tallbloke says:

    The Swiss alpine glaciers being “in full retreat” during the 1930s, would seem to imply there was a warmup from a cooler T prior to that. The US heatwave and ‘100 degree days’ indexes shows much the same thing – unusual warmth in the 1930s. Low solar cycles in the 1970s and 1900-1920 are likely involved in the greater cloud cover during the cooler times, due to less intense solar wind unable to keep Svensmark’s cloud seeding cosmic rays out of the inner solar system.

  10. stpaulchuck says:

    for years now I’ve enjoined members of the Church of the Satanic Gases to do a little simple math. Subtract the raw temperature from the final ‘adjusted’ temperature and plot the ‘adjustment’ values. Next rescale and plot the CO2 concentration on the same graph.

    It becomes clear that the adjustments have been adjusted over time to track CO2 not instrumental error or other things we calibrate for. Thus the rise in temperatures which is all fake.

    Second: compare satellite, radiosonde, and surface temperature reports. Two of them track closely. Like they say on Sesame Street, “One of these things is not the same.” I leave it to you to look.

  11. Ned Nikolov, Ph.D. says:

    Satellite data can also be manipulated to get “more warming”. The RSS data set is a good example. After their “corrections” in 2017, RSS now shows as steep or even steeper warming trend since 1998 than the NASA GISS surface temp. record, which used to be the most “adjusted” and the worst of all. The RSS Inc team continue to use data feeds from satellites that are known to have warm biases due to deterioration of their orbits over time… The only global temperature record that agrees well with independent measurements by modern satellite platforms such as CERES is Roy Spencer’s UAH data set. Everybody else is off the mark!

  12. tallbloke says:

    Ned, the SSR leads the expression of its variations by 1-4 years (fig 10), due to “inertia in the climate system”. The only massive body with sufficient heat capacity and thermal inertisa which could hold that energy for so long is the ocean. 3.7 years is the average period between El Nino type spikes in surface T (this also happens to be 1/3 of the average solar cycle length). Could it be that the big el nino events, which tend to occur soon after solar minimum (e.g. 1998, 2010) are a ‘double whammy’ of the release of heat from the sub-surface Pacific Warm Pool, plus the slower transmission of energy from surface to space caused by increased cloudiness near solar minimum?

  13. Ned Nikolov, Ph.D. says:


    The SSR data coming from land only and the 3-4 year lag of measured temperatures with respect to SSR-based reconstructed temperatures strongly suggest that big El Nino events are not the result of heat release from the “sub-surface Pacific Warm Pool”… Think about it, SSR over the continents increases 3-4 years before a big El Nino. This cannot possibly be caused by a heat release from below the ocean surface. It can only be explained by a decrease of the cloud albedo above the continents, and possibly over the ocean as well… I don’t think clouds can delay the transmission of energy to Space for years, not physically possible. Remember, clouds are not blankets!

    These new SSR data over land provide sufficient evidence to abandon the decades-old notion that ENSO cycles are driven by heat releases from the ocean.

  14. tallbloke says:

    Ned: “Think about it, SSR over the continents increases 3-4 years before a big El Nino. This cannot possibly be caused by a heat release from below the ocean surface.”

    I didn’t say it was. I’m saying the increased SSR energy (assuming it increases over the ocean as well as the land) gets stored in the ocean and gathered in the PWP for several years before getting released in the El nino event that occurs several years after the spike in SSR. Hence the lag.

    Where else do you think such a huge amount of energy could be stored for several years?

  15. Ned Nikolov, Ph.D. says:

    OK, I see now what you mean. Yes, the lag has to be caused by the heat capacity of the surface (land & ocean). The problem is that we do not know at the moment, how much SSR changes over the oceans and what is the spatial pattern of that change. So, what you are saying could be true, but we don’t have the data to reach a definitive conclusion… The one thing we can say for sure, though, is that El Ninos are initiated from above (the clouds), not from below (the ocean).

  16. tallbloke says:

  17. Ned Nikolov, Ph.D. says:


    Manipulating Arctic sea-ice data should not come as a surprise, because the 1988 UN Resolution to specifically fund research on “anthropogenic global warming” without any evidence that such a thing was even real, opened a flood gate to intellectual corruption and organized institutional fraud.

  18. rowjay says:

    The CET dataset that I downloaded a couple of years ago clearly shows the depressed temps that caused the “Ice age” scare. There is a link to a plot of the dataset that shows some interesting potential relationships between the Dalton Minimum and the less extreme modern 1960-1980 version.

  19. Ned Nikolov, Ph.D. says:


    Thank you for the comment and the link. Keep in mind that the solar radiation regime over Europe is quite different from the regime over the rest of the World on average as illustrated by the SSR plots in Fig. 2 of our article. This is the reason why the CET record does not show a steep drop during the 1962 – 1983 period as does the global average temperature.

  20. […] no catastrophic consequences from warming of the kind they are warning about now.  They’re also faking their data on a regular basis, one recent example being the removal of declining temperatures from the 1962 […]

  21. tallbloke says:

    More historical evidence for the decline in temperature post 1960

  22. tallbloke says:

  23. tallbloke says:

    Dr Spock (Leoneard Nimoy) Ice age doco clip 1979.

  24. oldbrew says:

    Tallbloke says: July 23, 2022 at 7:20 am
    – – –
    Guardian climate science correspondents have come a long way since that article 🙄

  25. Ned Nikolov, Ph.D. says:

    Thank you, Roger, for posting this 1974 article!

    There is no doubt that the Planet experienced a pronounced cooling in 1960s and 1970s, which has been erased from the modern global temperature records. Two main findings from our analysis of the new SSR dataset deserve repeating:

    1. The mild warming from 1982 to the present was caused by a decrease of cloud albedo and a subsequent increase of surface solar radiation; hence, it had nothing to do with human CO2 emissions;

    2. The rate of global warming during recent decades (~0.14 K/ decade) pales in comparison to the rate of global cooling (-1.3 K/decade) that took place between late 1960s and the early 1980. As a result, the Earth must have been 2.4 K warmer in the early 1960s than in 2019. This pattern of global temperature change completely refutes the AGW claim, which is why it has been redacted.

  26. Ned Nikolov, Ph.D. says:

    Based on a Wikipedia article about the history of the Climate Research Unit (CRU) at the University of East Anglia (, I speculate that the deletion of the 1962 – 1983 cooling episode from temperature records probably occurred, when Tom Wigley was the CRU Director (1978 – 1993). More precisely, this unprecedented data manipulation was likely carried out during the early 1980s, when the “greenhouse” concept of climate change began to be pushed internationally by leading scientists.

    The first scientific paper claiming a “rapid warming” since 1975 and record high global temperatures in early 1980s compared to the prior 130 years without any mentioning of the 1960 – 1980 cooling episode was authored by Phil Jones, Tom Wigley and P. Wright and published in the journal Nature in July of 1986: The paper entitled “Global temperature variations between 1861 and 1984” has an Abstract that reads:

    Recent homogenized near-surface temperature data over the land and oceans of both hemispheres during the past 130 years are combined to produce the first comprehensive estimates of global mean temperature. The results show little trend in the nineteenth century, marked warming to 1940, relatively steady conditions to the mid-1970s and a subsequent rapid warming. The warmest 3 years have all occurred in the 1980s.

    The period between 1940 and 1975 characterised by the authors as having “relatively steady conditions” is when a global cooling of ~1.5 K actually took place according to Surface Solar Radiation (SSR) records. Contrary to the authors’ claims, the SSR data also suggest a continuous climate cooling until at least 1983 without any sign of net warming between 1975 and 1984 (see the graph in my previous comment).

  27. tallbloke says:

    Ned: 2. The rate of global warming during recent decades (~0.14 K/ decade) pales in comparison to the rate of global cooling (-1.3 K/decade) that took place between late 1960s and the early 1980. As a result, the Earth must have been 2.4 K warmer in the early 1960s than in 2019.

    Ned, I think the Earth’s near surface air temperature is buffered by the high heat capacity of the global ocean. This would mean that energy was released from the ocean during periods when cloud amount is higher. We see some evidence for this with the big El Nino events that tend to occur either near solar minimum, when more cloud seeding cosmic rays enter Earth’s atmosphere, or in the aftermath of large volcanic eruptions when sulfur dioxide reflects more sunlight back to space from the stratosphere. The El nino following the eruption of El Chichon in 1983 is an example of this effect, along with the big el ninos in 1998 and 2010.

    That release of ocean heat content would ameliorate the effect of an increase in cloud causing a drop in solar surface radiation. Which means the fall in temperature might not be so big, especially in the tropics and temperate zones. It probably did cause a big swing in the higher latitudes though.

    I think your analysis is great so far as it goes, and an excellent basis for further research, but I also think that there’s more to this than a single variable.

  28. Ned Nikolov, Ph.D. says:


    Roger, I agree with you that oceans would provide some buffering to global temperature variations through their large heat capacity. However, the 1982 – 2021 period (where the SSR-based temperature reconstruction matches so well the UAH dataset) suggests that this buffering is limited to within 0.3 K with a lag not exceeding 4 years (see Fig. 10, Upper Panel). The cooling between early 1960s and the early 1980s indicated by the SSR data is in the order of 3.0 K (see Fig. 12) and continued for over 20 years. As a matter of fact, this cooling began in 1940. So, according to these new estimates, between 1940 and 1985, the Earth’s global temperature dropped ~3.4 K. Taking a generous oceanic buffering effect of 0.4 K into account, we are still left with a 3.0 K cooling to explain.

    Yes, let’s the research continue on this crucial topic and let’s have the evidence take us wherever it may…

  29. tallbloke says:

    Thanks for your reply Ned. Clouds have several climatic effects. They shade the earth and reflect incoming solar radiation, as this study shows. They can also keep night-time surface temperatures warmer than they would be under a clear sky due to radiative properties. Location, altitude and thickness all vary the balance between these effects.

    Could it be that the sensitivity of surface T to SSR might vary between periods when lower SSR causes the ocean buffering effect we discussed, and periods when higher SSR prevails? Or that regional differences in the quality of surface records might confound the issue? Just thinking out loud here about how else we might partially account for the strong disagreement between SSR and surface T (adjusted) records.

    This 1974 article from the ‘Radio Times’ (a weekly magazine carrying TV and radio programme schedules), indicates that the drop in temperature might have been more pronounced at higher latitudes.

  30. oldbrew says:

    The Wikipedia entry headed ‘Impacts on the overall greenhouse effect’ has a table ranking the most important compounds, which is preceded by a comment in brackets: ‘Failed verification’.

    Source —

  31. tallbloke says:

    More historical news articles to screenshot and some AMO discussion in this video from Tony Heller.

  32. Ned Nikolov, Ph.D. says:

    @tallbloke (July 24, 2022 at 7:47 am):


    1. As you know, the net effect of clouds on surface temperature when averaged over all nights and days of a year is cooling, not warming! Since our analysis uses global annual data, the occasional observation that cloudy nights in some locations and times of year could be warmer than clear nights is irrelevant to our discussion here.

    2. I’m not aware of a mechanism that would cause variable sensitivity of the global surface temperature to absorbed solar radiation depending on the magnitude of SSR change. The specific heat capacity of water varies with temperature, but this variation is minuscule over the range of ocean temperatures encountered on Earth (see: The only change in the temperature sensitivity to SSR would be the logarithmic dependence of ΔT on Δsa in Eq. 1

    3. I would not be surprised, if the 1960 – 1980 cooling was more pronounced at higher latitudes compared to the Tropics. Variations of cloud cover, if indeed driven by Earth/solar magnetic fluctuations, are expected to be stronger at higher latitudes, where the Earth’s magnetic field is weaker.

  33. Ned Nikolov, Ph.D. says:

    Wow! Tony Heller got finally suspended from Twitter… It was about time! I got suspended last year.

    Twitter has become the Nazi’s Gestapo of social media, a platform managed by young loony tunes with fascist ideology, who are obsessed with censorship like Jack Dorsey:

  34. Ned Nikolov, Ph.D. says:

    This recent well-sourced article by William Walter Kay posted on the Friends-of-Science blog is historically quite informative and complements the findings discussed in our SSR paper above:

    Margaret Thatcher and the Rise of the Climate Ruse

    The anthropogenic global warming (AGW) hoax was created & funded in the early 1980s by Margaret Thatcher (UK’s PM from 1979 to 1990) in an effort to defeat the UK’s National Union of Miners (NUM), and close Government-operated mines, since they were not profitable. Under the advice of Sir Crispin Tickell to explore “Climate Change” as a promising anti-coal pretext, Thatcher funded (in early 1980s) the Climate Research Unit at the University of East Anglia led by Dr. Tom Wigley to produce evidence that coal burning was warming the Planet by emitting CO2. UK miners went on a national strike in 1984. In 1986, Phil Jones and Tom Wigley published a paper in the journal Nature ( that presented the first global temperature record from 1861 to 1984 showing no cooling between 1960 and 1982, and claiming that the warmest 3 years in the 20th Century have all occurred in the 1980s. This record matched quite well (in terms of trend) the Keeling CO2 curve, which was more than 22 years long at that time.

    This is how the largest manipulation of global climate data came to be! If Tom Wigley and Phil Jones had the moral integrity of objective scientists and kept the 1960 – 1982 cooling episode in the temperature record, the AGW hoax would have disintegrated in 1980s, and the World would not be in a “climate crisis” now. 🙂

  35. oldbrew says:

    FYI – possible link between solar cycle and albedo on Venus.

    Long-term Variations of Venus’s 365 nm Albedo Observed by Venus Express, Akatsuki, MESSENGER, and the Hubble Space Telescope (2019)

    5.3. Comparison with Other Planets

    Regardless of the cause of the observed albedo changes, the range of albedo variation on Venus is surprising. On the Earth, clouds play a considerable role as a buffer of possible climate variations and are also a regulator of the solar energy distribution (Stephens et al. 2015). However, the clouds on Venus are different; rather than supporting a stable solar heating rate, drastic variations of solar heating seem to occur as inferred from the 365 nm albedo. The astounding nature of the albedo variation results we present here is further emphasized by results derived from other planetary albedo studies in the solar system, where weaker long-term albedo variations were observed.

  36. Ned Nikolov, Ph.D. says:


    Interesting long paper (! I noticed that it only discusses the Venusian albedo in a specific wavelength of the UV spectrum (365 nm). I wonder what is the variation of the total shortwave albedo. I expect it to be quite small…

  37. David A says:

    Ned says
    I’m not aware of a mechanism that would cause variable sensitivity of the global surface temperature to absorbed solar radiation depending on the magnitude of SSR change.”The specific heat capacity of water varies with temperature, but this variation is minuscule over the range of ocean temperatures encountered on Earth (see: The only change in the temperature sensitivity to SSR would be the logarithmic dependence of ΔT on Δsa in Eq. 1″

    Would not the SSR also change with the solar cycles, and would not the variation of solar insolation W/L affect the depth of, and quantity of solar insolation entering the oceans, where, for an undetermined time that energy is lost to the atmosphere, the disparate ocean residence time of said insolation being dependent on the spectral W/L flux.

    There are only two ways to change the energy content of a system in a radiative balance, either a change in the input, or a change in the residence times of that input. A small change in a very long residence time input can accumulate, positive or negative, to a great deal of energy.

  38. Ned Nikolov, Ph.D. says:

    @David A

    Changes of TSI (the above-atmosphere Total Solar Irradiance) are already taken into account by our calculations. See Fig. 4 and the related discussion in the above article. Insolation is not important when the mean annual global absorption of solar radiation is considered as it is in our case. The ability of oceans to absorb solar radiation coming to the surface should not change from one year to the next. In other words, the oceanic absorption of solar energy should only depend on the incoming solar flux, since the radiative properties of water are not expected to vary over time on a global scale.

  39. David A says:

    Ned N, thank you…
    “In other words, the oceanic absorption of solar energy should only depend on the incoming solar flux, since the radiative properties of water are not expected to vary over time on a global scale.”

    That makes sense to me. Say a solar cycle variance where more IR causing increased evaporation at the water surface (causing even less ocean surface W/L penetration) and less Blue & UV so even less energy deposited as heat 20 to 200 feet down in the ocean.) (actual penetration can be up to 800′ with said energy having a very long residence time.)

    It is curious how every season when, during the SH summer, the earth experiences plus 90 Wsq M insolation, yet the atmosphere cools! As always input energy “residence time” within the system (atmosphere, oceans and land) is the key, and we know residence time is reduced from increased NH albedo, yet the oceans also likely hide energy away from the atmosphere, for whatever residence disparate solar W/L has as it enters the oceans, more then then they do in the NH summer. (much more ocean receiving more intense SH summer insolation.) I have not heard any formal conclusion to the question; Does the earth ( Land oceans and atmosphere combined) increase or decrease its total energy content in the SH summer?

  40. dennisambler says:

    “The cooling episode indicated by the SSR data is corroborated by more than 115 magazine and newspaper articles published throughout the 1970s…”

    Even James Hansen was onboard, from 1981:

    Click to access hansen81a.pdf

    “The most sophisticated models suggest a mean warming of 2° to 3 .5°C for doubling of the C02 concentration from 300 to 600 ppm . The major difficulty in accepting the theory has been the absence of observed warming coincident with the historic C02 increase. In fact, the temperature in the Northern Hemisphere decreased by about 0.5°C between 1940 and 1970, a time of rapid C02 build up.

    In addition, recent claims that climate models over-estimate the impact of radiative perturbations by an order of magnitude, have raised the issue of whether the greenhouse effect is well understood. “

  41. oldbrew says:

    Interesting Hansen paper, Dennis A. Here’s another quote:

    Melting of the world’s ice sheets is another possible effect of C02 warming. If they melted entirely, sea level would rise – 70 m. However, their natural response time is thousands of years, and it is not certain whether C02 warming will cause the ice sheets to shrink or grow. For example, if the ocean warms but the air above the ice sheets remains below freezing, the effect could be increased snowfall, net ice sheet growth, and thus lowering of sea level.

  42. Ned Nikolov, Ph.D. says:


    Thank you for this 1981 reference by Jim Hansen. I have it in my climate repository folder, but have not looked at it for several years. Yes, back in the 1980s and even up to 1999 Hansen was acknowledging the mismatch between CO2 and temperature trajectories evident over several decades until they solved the problem by altering observed temperatures to make them match the CO2 record.

    NASA still shows on its website this 1999 Science Brief by Jim Hansen, where he admits that the US has experienced a net cooling between 1930s and 1999 and that this pattern of temperature evolution does not agree at all with the “rapidly increasing greenhouse gases“:

  43. Ned Nikolov, Ph.D. says:

    Regarding Hansen’s description of how the “greenhouse” warming works, when CO2 increases, presented in his 1981 paper (, I analyze this mechanism in my video “Demystifying the Greenhouse Effect” (starting at 19:49 min mark) and show that it’s based on no known physics! In fact, this mechanism was first proposed as a pure conjecture (speculation) by Nils Ekholm in 1901. It became a “settled science” through mere repetition in the complete absence of empirical evidence to support it.

  44. oldbrew says:

    ‘Greenhouse Gas Effect Does Not Exist,’ a Swiss Physicist Challenges Global Warming Climate Orthodoxy

    Allmendinger’s experimental tests found no significant differences between the IR absorption capabilities of CO2, O2, N2, or Ar when thermal absorption was measured instead of spectrographic wave absorption. “As a consequence, a ‘greenhouse effect’ does not really exist, at least not related to trace gases such as carbon dioxide.”

    The global warming orthodox scientific community has rejected Allmendinger’s work as utter nonsense, arguing that he “is currently not affiliated with any reputable research institute or university.”
    – – –
    Of course they know full well it’s likely to be career suicide to be on any academic payroll and denounce or even question IPCC climate theories, no matter what evidence is put forward.

  45. […] Ned Nikolov: Does a Surface Solar Radiation Dataset Expose a Major Manipulation of Global Temperatur… […]

  46. Stephen Richards says:

    I heard an interesting remark from one of the UKMO forecasters about 2 days ago.

    ” temperatures will rise as the pressure rises in the next few days “

  47. oldbrew says:

    Scientists: The Global Warming Since 1985 Cannot Be Attributed To CO2 Forcing
    By Kenneth Richard on 8. August 2022

    Cloud modulation of shortwave radiation and greenhouse effect forcing has largely been the determining factor in the global warming of the last 45 years. Not CO2.

  48. Nelson says:

    Ned, do you have any thoughts on the weakening of the earth’s magnetic field strength? It seems to me that there is an empirical test of your ideas playing out in real-time.

  49. Ned Nikolov, Ph.D. says:

    Hi Nelson,

    Yes, the Earth’s magnetic field has been weakening for at least 200 years now, and we don’t know why. Also, satellite observations show that Earth’s magnetic field is much more complex than the dipolar model often used illustrate it in textbooks. See this article about the recently discovered Southern Atlantic magnetic anomaly:

    I think our current understanding of what controls Earth’s magnetic field is in its infancy. I also think that the interplay between Earth’s magnetic field and solar wind is crucial in determining the rate of atmospheric loss to Space, which in turn controls variations of Earth’s atmospheric mass and total surface air pressure through geologic time. IMO, fluctuations of total surface pressure are responsible for the observed changes of Earth’s global temperature on time scales of thousands to millions of years.

    Earth’s magnetic field probably influences the flux of galactic cosmic rays reaching lower-troposphere, which impacts cloud formation and the short-term (multidecadal) variations of global temperature.

  50. Ian F says:

    Interesting article about NASA tampering with the raw temperature data for Iceland’s capital Reykjavík at:

  51. Mark says:

    Climate scientist, Dr. Ian Holmes also talks about pressures effect on global temperature and he does not believe that CO2 or CH4 cause measureable warming.

  52. Ned Nikolov, Ph.D. says:


    Holmes took the pressure idea from our published research. He even adopted our main new term “Atmospheric Thermal Enhancement”. He made one mistake in a paper he wrote a few years ago, where he tried the use the Gas Law and nothing else to predict the average surface temperatures of several planets and moons:

    The problem (which I brought up to him in an email) is that one cannot just use the Gas Law for such prediction, because the Gas Law is one equation with 2 unknowns: temperature and air density. Solving deterministically for 2 unknowns requires 2 equations. Holmes used air density as a predictor of temperature, which is physically incorrect, since in the chain of causality, air density is always a function of temperature and pressure. Thermodymically, air density in a planetary atmosphere never controls the temperature!

  53. Mark says:

    Good to know Dr. Nikolov! Thanks

  54. Nelson says:

    Ned, if I use the molar form of the ideal gas law, I can solve for T in terms of observable variables. If I plug in data from the Antarctica, I get the average temp. Same holds at the Equator. No surprise. What has always bothered me is that if I adjust for an increase in CO2 from 400 to 800 ppm, I don’t get much of a change in T. To get a 3-4 degree increase as some suggest, P has to increase significantly. Why would a 400 ppm increase in CO2 cause a big increase in measured pressure? It seems to me that the belief in a large positive ECS is inconsistent with the Ideal gas laws

  55. Ned Nikolov, Ph.D. says:


    Yes, the standard atmospheric thermodynamics does not support at all a 3 K surface warming per 280 ppm CO2 increase as predicted by climate models. That’s because, CO2 is thermodynamically no different from any other non-condensing gas in the atmosphere such as nitrogen or oxygen. The real effect of CO2 on surface temperature is only through its contribution to total pressure, which is minuscule in the Earth’s atmosphere.

    In our article on climate sensitivities from May 2022, we quantify the exact response of Earth’s global temperature to a unit change of total pressure. It’s 0.161 K/kPa, which implies that a CO2 doubling compared to pre-industrial level (i.e. a 280 ppm net increase) would only produce a 0.0044 K surface warming provided that Earth does not lose any atmosphere to Space during the time of CO2 doubling, which is unlikely:

    Ned Nikolov & Karl Zeller: Exact Calculations of Climate Sensitivities Reveal the True Cause of Recent Warming

  56. Ned Nikolov, Ph.D. says:

    In regard to using the Ideal Gas Law to calculate ambient temperatures, it’s important to remember that air density is NOT a predictor of temperature. So, rearranging the Gas Law in the form T = P/(R ρ), where ρ is the molar density of air (mol m-3), is not physically correct, because ρ physically depends on P and T. It’s the temperature T that determines in part the air density (ρ), not the other way around!

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s