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Warmers are Neurotic Basket Cases

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The geologic record is littered with examples of warming and cooling trends that were not caused by CO2 or orbital forcing. Scientists reach opposite conclusions on the cause of the recent warming trend depending upon which datasets they use.
No they dont
 
No they dont
:lol:

Scientists come to opposite conclusions about the causes of recent climate change depending on which datasets they consider. For instance, the panels on the left lead to the conclusion that global temperature changes since the mid-19th century have been mostly due to human-caused emissions, especially carbon dioxide (CO2), i.e., the conclusion reached by the UN IPCC reports. In contrast, the panels on the right lead to the exact opposite conclusion, i.e., that the global temperature changes since the mid-19th century have been mostly due to natural cycles, chiefly long-term changes in the energy emitted by the Sun.



1632186412722.png



Both sets of panels are based on published scientific data, but each uses different datasets and assumptions. On the left, it is assumed that the available temperature records are unaffected by the urban heat island problem, and so all stations are used, whether urban or rural. On the right, only rural stations are used. Meanwhile, on the left, solar output is modeled using the low variability dataset that has been chosen for the IPCC’s upcoming (in 2021/2022) 6th Assessment Reports. This implies zero contribution from natural factors to the long-term warming. On the right, solar output is modeled using a high variability dataset used by the team in charge of NASA’s ACRIM sun-monitoring satellites. This implies that most, if not all, of the long-term temperature changes are due to natural factors.

Here is the link to the full paper.
ShieldSquare Captcha
 
:lol:

Scientists come to opposite conclusions about the causes of recent climate change depending on which datasets they consider. For instance, the panels on the left lead to the conclusion that global temperature changes since the mid-19th century have been mostly due to human-caused emissions, especially carbon dioxide (CO2), i.e., the conclusion reached by the UN IPCC reports. In contrast, the panels on the right lead to the exact opposite conclusion, i.e., that the global temperature changes since the mid-19th century have been mostly due to natural cycles, chiefly long-term changes in the energy emitted by the Sun.



1632186412722.png



Both sets of panels are based on published scientific data, but each uses different datasets and assumptions. On the left, it is assumed that the available temperature records are unaffected by the urban heat island problem, and so all stations are used, whether urban or rural. On the right, only rural stations are used. Meanwhile, on the left, solar output is modeled using the low variability dataset that has been chosen for the IPCC’s upcoming (in 2021/2022) 6th Assessment Reports. This implies zero contribution from natural factors to the long-term warming. On the right, solar output is modeled using a high variability dataset used by the team in charge of NASA’s ACRIM sun-monitoring satellites. This implies that most, if not all, of the long-term temperature changes are due to natural factors.

Here is the link to the full paper.
ShieldSquare Captcha
A single paper? Hardly very good science if you only have a single paper
 
That's nice.


Now its caused by AGW


Glad to help
Climate fluctuations and environmental uncertainty are hallmarks of a bipolar glaciated world where the poles are at different thresholds for extensive continental glaciation and the temperature is slightly above the pole with the higher threshold which is exactly the conditions of earth.

glacial mininum and interglacial maximum.jpg
 
Now its caused by AGW
Again... Scientists come to opposite conclusions about the causes of recent climate change depending on which datasets they consider. For instance, the panels on the left lead to the conclusion that global temperature changes since the mid-19th century have been mostly due to human-caused emissions, especially carbon dioxide (CO2), i.e., the conclusion reached by the UN IPCC reports. In contrast, the panels on the right lead to the exact opposite conclusion, i.e., that the global temperature changes since the mid-19th century have been mostly due to natural cycles, chiefly long-term changes in the energy emitted by the Sun.



1632186412722.png




Both sets of panels are based on published scientific data, but each uses different datasets and assumptions. On the left, it is assumed that the available temperature records are unaffected by the urban heat island problem, and so all stations are used, whether urban or rural. On the right, only rural stations are used. Meanwhile, on the left, solar output is modeled using the low variability dataset that has been chosen for the IPCC’s upcoming (in 2021/2022) 6th Assessment Reports. This implies zero contribution from natural factors to the long-term warming. On the right, solar output is modeled using a high variability dataset used by the team in charge of NASA’s ACRIM sun-monitoring satellites. This implies that most, if not all, of the long-term temperature changes are due to natural factors.

Here is the link to the full paper.
ShieldSquare Captcha
 
Again... Scientists come to opposite conclusions about the causes of recent climate change depending on which datasets they consider. For instance, the panels on the left lead to the conclusion that global temperature changes since the mid-19th century have been mostly due to human-caused emissions, especially carbon dioxide (CO2), i.e., the conclusion reached by the UN IPCC reports. In contrast, the panels on the right lead to the exact opposite conclusion, i.e., that the global temperature changes since the mid-19th century have been mostly due to natural cycles, chiefly long-term changes in the energy emitted by the Sun.



1632186412722.png




Both sets of panels are based on published scientific data, but each uses different datasets and assumptions. On the left, it is assumed that the available temperature records are unaffected by the urban heat island problem, and so all stations are used, whether urban or rural. On the right, only rural stations are used. Meanwhile, on the left, solar output is modeled using the low variability dataset that has been chosen for the IPCC’s upcoming (in 2021/2022) 6th Assessment Reports. This implies zero contribution from natural factors to the long-term warming. On the right, solar output is modeled using a high variability dataset used by the team in charge of NASA’s ACRIM sun-monitoring satellites. This implies that most, if not all, of the long-term temperature changes are due to natural factors.

Here is the link to the full paper.
ShieldSquare Captcha
Happy to help clear this up

 
Actually the planet is 2C cooler with 120 ppm more CO2 than in the past. :)

View attachment 633854
No it's not

 
No it's not

D-O events had warming and cooling trends of ~5C over several decades. NASA talks about those too on their website which is really odd that they would think a 0.5 degree change over 4 decades was unprecedented.
 
D-O events had warming and cooling trends of ~5C over several decades. NASA talks about those too on their website which is really odd that they would think a 0.5 degree change over 4 decades was unprecedented.
That's nice


Almost no one denies at this point the earth is getting warmer
 
That's nice


Almost no one denies at this point the earth is getting warmer


There have been many reviews and articles published that reached the conclusion that much of the global warming since the mid-20th century and earlier could be explained in terms of solar variability.

For example:
Soon et al. (1996); Hoyt & Schatten (1997); Svensmark & Friis-Christensen (1997); Soon et al. (2000b,a); Bond et al. (2001); Willson & Mordvinov (2003); Maasch et al. (2005); Soon (2005); Scafetta & West (2006a,b); Scafetta & West (2008a,b); Svensmark (2007); Courtillot et al. (2007, 2008); Singer & Avery (2008); Shaviv (2008); Scafetta (2009, 2011); Le Mouel et al. ¨ (2008, 2010); Kossobokov et al. (2010); Le Mouel et al. ¨ (2011); Humlum et al. (2011); Ziskin & Shaviv (2012); Solheim et al. (2012); Courtillot et al. (2013); Solheim (2013); Scafetta & Willson (2014); Harde (2014); Luning & Vahrenholt ¨ (2015, 2016); Soon et al. (2015); Svensmark et al. (2016, 2017); Harde (2017); Scafetta et al. (2019); Le Mouel¨ et al. (2019a, 2020a); Morner et al. ¨ (2020); Ludecke et al. ¨ (2020)).
 
There have been many reviews and articles published that reached the conclusion that much of the global warming since the mid-20th century and earlier could be explained in terms of solar variability.

For example:
Soon et al. (1996); Hoyt & Schatten (1997); Svensmark & Friis-Christensen (1997); Soon et al. (2000b,a); Bond et al. (2001); Willson & Mordvinov (2003); Maasch et al. (2005); Soon (2005); Scafetta & West (2006a,b); Scafetta & West (2008a,b); Svensmark (2007); Courtillot et al. (2007, 2008); Singer & Avery (2008); Shaviv (2008); Scafetta (2009, 2011); Le Mouel et al. ¨ (2008, 2010); Kossobokov et al. (2010); Le Mouel et al. ¨ (2011); Humlum et al. (2011); Ziskin & Shaviv (2012); Solheim et al. (2012); Courtillot et al. (2013); Solheim (2013); Scafetta & Willson (2014); Harde (2014); Luning & Vahrenholt ¨ (2015, 2016); Soon et al. (2015); Svensmark et al. (2016, 2017); Harde (2017); Scafetta et al. (2019); Le Mouel¨ et al. (2019a, 2020a); Morner et al. ¨ (2020); Ludecke et al. ¨ (2020)).
Uh nope

 
Uh nope



Other reviews and articles over this period have either been undecided, or else argued for significant but subtle effects of solar variability on climate change.

For example:
Labitzke & van Loon (1988); van Loon & Labitzke (2000); Labitzke (2005); Beer et al. (2000); Reid (2000); Carslaw et al. (2002); Ruzmaikin & Feynman (2002); Ruzmaikin et al. (2004, 2006); Feynman & Ruzmaikin (2011); Ruzmaikin & Feynman (2015); Salby & Callaghan (2000, 2004, 2006); Kirkby (2007); de Jager et al. (2010); Tinsley & Heelis(1993); Tinsley (2012); Lam & Tinsley (2016); Zhou et al. (2016); Zhang et al. (2020b); Dobrica et al. (2009); Dobrica et al. (2010); Demetrescu & Dobrica (2014); Dobrica et al. (2018); Blanter et al. (2012); van Loon & Shea (1999); van Loon & Meehl (2011); van Loon et al. (2012); Roy & Haigh (2012); Roy (2014, 2018); Roy & Kripalani (2019); Lopes et al. (2017); Pan et al. (2020).
 
Other reviews and articles over this period have either been undecided, or else argued for significant but subtle effects of solar variability on climate change.

For example:
Labitzke & van Loon (1988); van Loon & Labitzke (2000); Labitzke (2005); Beer et al. (2000); Reid (2000); Carslaw et al. (2002); Ruzmaikin & Feynman (2002); Ruzmaikin et al. (2004, 2006); Feynman & Ruzmaikin (2011); Ruzmaikin & Feynman (2015); Salby & Callaghan (2000, 2004, 2006); Kirkby (2007); de Jager et al. (2010); Tinsley & Heelis(1993); Tinsley (2012); Lam & Tinsley (2016); Zhou et al. (2016); Zhang et al. (2020b); Dobrica et al. (2009); Dobrica et al. (2010); Demetrescu & Dobrica (2014); Dobrica et al. (2018); Blanter et al. (2012); van Loon & Shea (1999); van Loon & Meehl (2011); van Loon et al. (2012); Roy & Haigh (2012); Roy (2014, 2018); Roy & Kripalani (2019); Lopes et al. (2017); Pan et al. (2020).
No link then it's made up


Dismissed
 
No link then it's made up


Dismissed
It was cited, dummy.

Dissenting scientific opinions in the literature are not reflected in the various IPCC statements because of three reasons:
  1. Climate change and solar variability are both multifaceted concepts. As Pittock (1983) noted, historically, many of the studies of Sun/climate relationships have provided results that are ambiguous and open to interpretation in either way (Pittock 1983).
  2. Dissenting scientific results which might potentially interfere with political goals are unwelcome.
  3. The primary goal of the IPCC is to “speak with one voice for climate science” (Beck et al. 2014; Hoppe & Rodder 2019).
 
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