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Caught Red-Handed | Independent Research 20240928
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This video was made to thank my 4,000 plus Subscribers. It is a dectective story I started sketching since March this yere when I first watched the talk by Dr John Clauser. During editing of this video, I noticed John gave another talk in May this year on the same issues. So, I read more references in order to make this talk more interesting. I hope you will like it.
#imbalance #ohc #imbalance #ceres
Related links for viewers:
1. Official Interview: John Clauser, Nobel Prize in Physics 2022
2. Earth - A White Planet' by Dr Graeme Stephens
3. Physical Controls of the Earth's Climate and Climate Change - Graeme Stephens
4. "Climate Change is a Myth" -- A Nobel Prize Winner's Embarrassing Ideas
Transcript
John Clauser is a great experimental physicist, whose expertise is in accurately detecting amplitudes and phases of electromagnetic waves, or photons, often called radiation by climate researchers who wish to understand the fundamental issues in climate theories.
In 1972, for the first time, his critical measurements of radiation fluxes confirmed that Albert Einstein, his hero, is wrong about quantum mechanics, despite of rejections and mocks around him when his adventure began, including Richard Feynman.
Early this year, at age 81, John Clauser pointed his finger to Graeme Stephens, a high-profile climate researcher who knew radiative transfer equation and Manabe’s work as early as 1981 in Melbourne.
Here is the key paper in question, published by Stephens et al in 2012. In their Fig. 1, they concluded that the earth energy Imbalance, or EEI for short, observable at the top of the atmosphere is 0.60.4 in Watt per square meter, inferred from their estimated Imbalance at the surface, 0.617 in Wm-2. Notice, the uncertainties are 0.4 and 17 Wm-2, respectively.
Clauser first remarked that such a small power-flow Imbalance cannot be possibly measured, given a number of fluctuations arising from random variations of clouds and thermal processes near the surface.
In particular, John Clauser used two early papers as examples. One is by Stephens et al. in 1981, another by ra-Manathan in 1987, respectively. Their results for the Imbalance were quite different, one is 6.8 Wm-2 for warming, another -3 Wm-2 for cooling.
Further, Clauser explained to his audiences that the uncertainty in obtaining the Imbalance at TOA is too larger to derive a non-zero Imbalance. In doing so, he used this basic equation for uncertainty-propagation for uncorrelated measurements.
14.It simply shows the uncertainty for the Imbalance should be larger than any of the three uncertainties in measuring incoming solar radiation ISR, reflected solar radiation RSR, and outgoing longwave radiation OLR.
15.Return to the 2012 paper by Stephens et al. Using the same data as Stephens used, Clauser noticed that their calculation for the Imbalance at TOA should be 0.53.9 Wm-2, rather than 0.60.4 Wm-2. In other words, the uncertainty should be 10 times larger. In fact, Stephens recently admitted that.
16.Because the desired Imbalance is about 1 Wm-2, hence it seems impossible to measure the Imbalance at the top of the atmosphere. Indeed, this is a bad news for the entire community of climate research as many climate researchers rely on this magical number to justify their models, and more importantly making their living.
17.Unsurprisingly, the person who jumped out to categorically defy the direct satellite-based observations of the Imbalance, or EEI, was James Hansen.
18. In 2005, Hansen et al published this paper in which the estimated Imbalance was subjectively re-set as 0.850.15 Wm-2. As you can see the uncertainly in his Imbalance is ridiculously small, 0.15 Wm-2. Nearly 40 times less than the original uncertainty from using CERES.
19.How could they do that? Simple, but wired. Both the averaged Imbalance and the uncertainty were inferred from their climate modeling and re-analysis of ocean heat content measurements.
20.Not only did they predict future warming, but also they simulated the evidence in support of their rhetoric. That’s to say, any instrumental observations at TOA must be first and foremost conformed with the inference from climate modeling and OHC measurements.
21.Following Hansen’s instruction, Loeb et al, not lobsters, switched their modality from satellite-radiometry data to surface-measured OHC data, namely, ocean heat content. In addition, they also adjusted the observational EEI, originally from CERES, the instrumental measurements from satellites, called Clouds and Earth Radiant Energy System, so that their adjusted Imbalance becomes identical to the estimate by Hansen et al. 0.850.1 Wm-2.
#imbalance #ohc #imbalance #ceres
Related links for viewers:
1. Official Interview: John Clauser, Nobel Prize in Physics 2022
2. Earth - A White Planet' by Dr Graeme Stephens
3. Physical Controls of the Earth's Climate and Climate Change - Graeme Stephens
4. "Climate Change is a Myth" -- A Nobel Prize Winner's Embarrassing Ideas
Transcript
John Clauser is a great experimental physicist, whose expertise is in accurately detecting amplitudes and phases of electromagnetic waves, or photons, often called radiation by climate researchers who wish to understand the fundamental issues in climate theories.
In 1972, for the first time, his critical measurements of radiation fluxes confirmed that Albert Einstein, his hero, is wrong about quantum mechanics, despite of rejections and mocks around him when his adventure began, including Richard Feynman.
Early this year, at age 81, John Clauser pointed his finger to Graeme Stephens, a high-profile climate researcher who knew radiative transfer equation and Manabe’s work as early as 1981 in Melbourne.
Here is the key paper in question, published by Stephens et al in 2012. In their Fig. 1, they concluded that the earth energy Imbalance, or EEI for short, observable at the top of the atmosphere is 0.60.4 in Watt per square meter, inferred from their estimated Imbalance at the surface, 0.617 in Wm-2. Notice, the uncertainties are 0.4 and 17 Wm-2, respectively.
Clauser first remarked that such a small power-flow Imbalance cannot be possibly measured, given a number of fluctuations arising from random variations of clouds and thermal processes near the surface.
In particular, John Clauser used two early papers as examples. One is by Stephens et al. in 1981, another by ra-Manathan in 1987, respectively. Their results for the Imbalance were quite different, one is 6.8 Wm-2 for warming, another -3 Wm-2 for cooling.
Further, Clauser explained to his audiences that the uncertainty in obtaining the Imbalance at TOA is too larger to derive a non-zero Imbalance. In doing so, he used this basic equation for uncertainty-propagation for uncorrelated measurements.
14.It simply shows the uncertainty for the Imbalance should be larger than any of the three uncertainties in measuring incoming solar radiation ISR, reflected solar radiation RSR, and outgoing longwave radiation OLR.
15.Return to the 2012 paper by Stephens et al. Using the same data as Stephens used, Clauser noticed that their calculation for the Imbalance at TOA should be 0.53.9 Wm-2, rather than 0.60.4 Wm-2. In other words, the uncertainty should be 10 times larger. In fact, Stephens recently admitted that.
16.Because the desired Imbalance is about 1 Wm-2, hence it seems impossible to measure the Imbalance at the top of the atmosphere. Indeed, this is a bad news for the entire community of climate research as many climate researchers rely on this magical number to justify their models, and more importantly making their living.
17.Unsurprisingly, the person who jumped out to categorically defy the direct satellite-based observations of the Imbalance, or EEI, was James Hansen.
18. In 2005, Hansen et al published this paper in which the estimated Imbalance was subjectively re-set as 0.850.15 Wm-2. As you can see the uncertainly in his Imbalance is ridiculously small, 0.15 Wm-2. Nearly 40 times less than the original uncertainty from using CERES.
19.How could they do that? Simple, but wired. Both the averaged Imbalance and the uncertainty were inferred from their climate modeling and re-analysis of ocean heat content measurements.
20.Not only did they predict future warming, but also they simulated the evidence in support of their rhetoric. That’s to say, any instrumental observations at TOA must be first and foremost conformed with the inference from climate modeling and OHC measurements.
21.Following Hansen’s instruction, Loeb et al, not lobsters, switched their modality from satellite-radiometry data to surface-measured OHC data, namely, ocean heat content. In addition, they also adjusted the observational EEI, originally from CERES, the instrumental measurements from satellites, called Clouds and Earth Radiant Energy System, so that their adjusted Imbalance becomes identical to the estimate by Hansen et al. 0.850.1 Wm-2.
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