Solid Physical Evidence of AGW.... Where is it?

[IanC]

Is it fair to say that solar radiation warms the oceans?

But visible light easily goes through water. What is the difference between air and IR versus water and visible light?

 

[Toddsterpatriot]

well fine, just post that evidence of that happening. See kinetic energy is heat, and right now, there is no hot spot in the atmosphere or troposphere

Just so we know you have some rudimentary knowledge on this....why don't you briefly explain what the hotspot is? Just roughly where it should be, and where the energy comes from, if it were to exist.

Then connect that to CO2 radiative physics.

radiation does not warm air. period.

radiation does not warm air. period.

Does radiation cool the air? Interact with the air in any way?

why would it if it couldn't heat it. see, you are truly the fool. to even ask that question proves your idiocy.

IR flows out to space. That's it. After absorbed and moved around via collision and emission.

why would it if it couldn't heat it.

I asked 2 questions, which are you responding to with this answer?

to even ask that question proves your idiocy.​

Trying to get a straight answer from you is kind of idiotic.
​

IR flows out to space. ​

Yes it does!!!!
​

That's it. After absorbed and moved around via collision and emission​

See? Absorbed!
So you do realize it heats the air.​

 

[SSDD]

well fine, just post that evidence of that happening. See kinetic energy is heat, and right now, there is no hot spot in the atmosphere or troposphere

Just so we know you have some rudimentary knowledge on this....why don't you briefly explain what the hotspot is? Just roughly where it should be, and where the energy comes from, if it were to exist.

Then connect that to CO2 radiative physics.

radiation does not warm air. period.

You are claiming that the missing hotspot proves your point somehow.

Well, fill in the gaps by explaining yourself. Just a rough description will do.

the missing hot spot falsifies the greenhouse hypothesis and its bastard stepchild..AGW....the fact that you people continue to accept a hypothesis which has had predictive failures never ceases to amaze me...

One predictive failure is sufficient to send a hypothesis to the dust bin in real science....in pseudoscience, however, a hypothesis can have any number of predictive failures and remain viable so long as the funding continues...

 

[Crick]

The hotspot is not unique to greenhouse warming. It should be present with any warming. And it is.

 

[Wuwei]

the missing hot spot falsifies the greenhouse hypothesis and its bastard stepchild..AGW....the fact that you people continue to accept a hypothesis which has had predictive failures never ceases to amaze me...

One predictive failure is sufficient to send a hypothesis to the dust bin in real science....in pseudoscience, however, a hypothesis can have any number of predictive failures and remain viable so long as the funding continues...

JC failed to answer IanC's question. Can you give it a try? Here is his question again.

"You are claiming that the missing hotspot proves your point somehow.

Well, fill in the gaps by explaining yourself. Just a rough description will do."​

.

 

[Billy_Bob]

I'd like the OP to explain precisely what he means by " SOLID, PHYSICAL, EMPIRICALLY observed and verified evidence". I assume by "solid" he means verifiable. Empirical and observed are redundant. But what, Billy Boy, do you mean by "physical"?

Something you have been unable to produce.. Its not a model...

 

[Billy_Bob]

The hotspot is not unique to greenhouse warming. It should be present with any warming. And it is.

The bull shit is strong with this one... Proof... I'll Wait..

 

[jc456]

The hotspot is not unique to greenhouse warming. It should be present with any warming. And it is.

well great, point it out to us.

 

[jc456]

the missing hot spot falsifies the greenhouse hypothesis and its bastard stepchild..AGW....the fact that you people continue to accept a hypothesis which has had predictive failures never ceases to amaze me...

One predictive failure is sufficient to send a hypothesis to the dust bin in real science....in pseudoscience, however, a hypothesis can have any number of predictive failures and remain viable so long as the funding continues...

JC failed to answer IanC's question. Can you give it a try? Here is his question again.

"You are claiming that the missing hotspot proves your point somehow.

Well, fill in the gaps by explaining yourself. Just a rough description will do."​

.

I answered his question. you lie.

here from my post

well fine, just post that evidence of that happening. See kinetic energy is heat, and right now, there is no hot spot in the atmosphere or troposphere

Just so we know you have some rudimentary knowledge on this....why don't you briefly explain what the hotspot is? Just roughly where it should be, and where the energy comes from, if it were to exist.

Then connect that to CO2 radiative physics.

radiation does not warm air. period.

You are claiming that the missing hotspot proves your point somehow.

Well, fill in the gaps by explaining yourself. Just a rough description will do.

sure it does. again IR doesn't warm the air. just doesn't. and, you have no evidence it does. See, that fact alone, is what proves my point.

I supposed you didn't like my answer, but it is my answer, so you lied.

 

[Billy_Bob]

the missing hot spot falsifies the greenhouse hypothesis and its bastard stepchild..AGW....the fact that you people continue to accept a hypothesis which has had predictive failures never ceases to amaze me...

One predictive failure is sufficient to send a hypothesis to the dust bin in real science....in pseudoscience, however, a hypothesis can have any number of predictive failures and remain viable so long as the funding continues...

JC failed to answer IanC's question. Can you give it a try? Here is his question again.

"You are claiming that the missing hotspot proves your point somehow.

Well, fill in the gaps by explaining yourself. Just a rough description will do."​

.

Tell me again, according to the AGW hypothesis, how this is supposed to manifest itself?

 

[Crick]

Climate Meme Debunked As The ‘Tropospheric Hot Spot’ Is Found

Understanding the significance of the tropospheric hot spot

Climate scientists find elusive tropospheric hot spot

Tropospheric hot spot?

Tropospheric Hot Spot Predicted In Global Warming Models Detected

New study finds a hot spot in the atmosphere | John Abraham

Why John Christy’s Missing Hotspot Matters

The Case of the Missing 'Hot Spot'

 

[SSDD]

Climate Meme Debunked As The ‘Tropospheric Hot Spot’ Is Found

Understanding the significance of the tropospheric hot spot

Climate scientists find elusive tropospheric hot spot

Tropospheric hot spot?

Tropospheric Hot Spot Predicted In Global Warming Models Detected

New study finds a hot spot in the atmosphere | John Abraham

Why John Christy’s Missing Hotspot Matters

The Case of the Missing 'Hot Spot'

Wow.....they found the hotspot in the same failed models that predicted it. The ease with which you are fooled never fails to amaze me....

 

[Crick]

They found the hotspot in the fooking atmosphere.

That you have to lie as often as you do does not increase the odds of anyone buying into your contentions.

 

[CrusaderFrank]

Once they adjusted the data, they found the hotspot in the fooking atmosphere.

There, fixed

 

[SSDD]

Once they adjusted the data, they found the hotspot in the fooking atmosphere.

There, fixed

And somehow, they knew just which artifacts to remove from a non linear, chaotic system that would produce a hot spot which is unmeasurable by the highly sensitive equipment that has been sent up in a million plus radiosondes.. It doesn't take much to fool these people does it?

 

[Billy_Bob]

They found the hotspot in the fooking atmosphere.

That you have to lie as often as you do does not increase the odds of anyone buying into your contentions.

Wrong... They did not

Not one of your linked papers show the hot spot in the empirical evidence. They cite failed models in every one.

The Skeptic's Case | David M.W. Evans

 

[Billy_Bob]

Physical evidence shows Cricks hot spot to be a lie... Imagine that...

And Crick cites John Cooks work as credible...... Now that is a hoot!

Dr Evans shredded you idiots like a cheap napkin... The Skeptic's Case | David M.W. Evans

 

[Crick]

Wrong... They did not

Not one of your linked papers show the hot spot in the empirical evidence. They cite failed models in every one.

Wrong.

From Atmospheric changes through 2012 as shown by iteratively homogenized radiosonde temperature and wind data (IUKv2) - IOPscience, a link provided in Climate Meme Debunked As The ‘Tropospheric Hot Spot’ Is Found

4. Conclusion
We have briefly described an update of the dataset published by Sherwood et al (2008), which brings the data to February 2013. Several modifications have been introduced, which have not had a large effect on estimated long-term trends in temperature but have enabled us to present a homogenized wind dataset in addition to that for temperature.

The warming patterns shown in the revised dataset are similar to those shown in the original study except that expected patterns now appear somewhat more clearly. These include a near-moist-adiabatic profile of tropical warming with a peak warming rate of 0.25–0.3 K/decade near 300 hPa since either 1959 or 1979. This is interesting given that (a) many studies have reported less-than-expected tropospheric warming, and (b) there has been a slowing of ocean surface warming in the last 15 years in the tropics. We support the findings of other recent studies (Po-Chedley et al 2015) that reports of weak tropospheric warming have likely been due to flaws in calibration and other problems and that warming patterns have proceeded in the way expected from models. Moreover our data do not show any slowdown of tropical atmospheric warming since 1998/99, an interesting finding that deserves further scrutiny using other datasets.

As with other efforts to homogenize radiosonde data, results here may be affected by sampling limitations and inhomogeneities not successfully removed. However, we argue that our approach is well suited for producing a dataset to examine trends. The approach has been shown (Sherwood 2007) to produce individual data records with larger random errors, but which are unique in avoiding some sources of systematic bias as a feature of the method design, and in avoiding some problems common to other methods that will introduce correlated errors in the trends at neighbouring stations. This feature makes the characterization of trend uncertainty in averages over large regions more reliable.

The data presented here (v2.01) may be freely downloaded from the lead author's website1 The authors hope to produce periodic updates to the dataset in the future, following the same procedure documented here.

Acknowledgments
We acknowledge the NOAA Satellite and Information Service and National Climate Data Center for providing the IGRA radiosonde data on which this study is based, as well as the UK Met Office, NASA, and The University of California for supplying surface data. This study was supported by a UNSW Goldstar grant. We thank Lisa Alexander for assistance with surface data and helpful discussions.

Footnotes

• 1
  
  
  Prof. Steve Sherwood - Climate Change Research Centre (CCRC) - University of New South Wales - Australia.
  
  
  

References

• Agudelo P A and Curry J A 2004 Analysis of spatial distribution in tropospheric temperature trends Geophys. Res. Lett. 31 L2227
  Crossref
  
  
• Allen R A and Sherwood S C 2008 Warming maximum in the tropical upper troposphere deduced from thermal winds Nat. Geosci. 1 399–403
  Crossref
  
  
• CCSP 1986 Temperature Trends in the Lower Atmosphere: Steps for Understanding and Reconciling Differences ed T R Karl et al (Asheville, NC, USA: National Climatic Data Center: US Climate Change Science Program and the Subcommittee on Global Change Research, National Oceanic and Atmospheric Administration) 164 p
• Christy J R, Herman B, Pielke R, Klotzbach P, McNider R T, Hnilo J J, Spencer R W, Chase T and Douglass D 2010 What do observational datasets say about modeled tropospheric temperature trends since 1979? Rem. Sens. 2 2148–69
  Crossref
  
  
• Fu Q and Johanson C M 2005 Satellite-derived vertical dependence of tropical tropospheric temperature trends Geophys. Res. Lett. 32 L10703
  Crossref
  
  
• Fu Q, Johanson C M, Warren S G and Seidel D J 2004 Contribution of stratospheric cooling to satellite-inferred tropospheric temperature trends Nature 429 55
  Crossref
  
  
• Fu Q, Manabe S and Johanson C M 2011 On the warming in the tropical upper troposphere: models versus observations Geophys. Res. Lett. 38 L15704
  Crossref
  
  
• Gruber C and Haimberger L 2008 On the homogeneity of radiosonde wind time series Meteor. Z. 17631–43
  Crossref
  
  
• Haimberger L, Tavolato C and Sperka S 2012 Homogenization of the global radiosonde temperature dataset through combined comparison with reanalysis background series and neighboring stations J. Clim. 25 8108–31
  Crossref
  
  
• Hartmann D L and Coauthor 2013 Observations: atmosphere and surface Climate Change 2013: The Physical Science Basis (Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change) ed T F Stocker, D Qin, G K Plattner, M Tignor, S K Allen, J Boschung, A Nauels, Y Xia, V Bex and P M Midgley (Cambridge: Cambridge University Press)
• Lucas C, Timbal B and Nguyen H 2014 The expanding tropics: a critical assessment of the observational and modeling studies Wiley Interdisc. Rev. Clim. Change 5 89–112
  Crossref
  
  
• Mitchell D M, Thorne P W, Stott P A and Gray L J 2013 Revisiting the controversial issue of tropical tropospheric temperature trends Geophys. Res. Lett. 40 2801–6
  Crossref
  
  
• Morice C P, Kennedy J J, Rayner N A and Jones P D 2012 Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 data set J. Geophys. Res. 117 D08101
  Crossref
  
  
• Po-Chedley S and Fu Q 2012 Discrepancies in tropical upper tropospheric warming between atmospheric circulation models and satellites Environ. Res. Lett. 7 044018
  IOPscience
  
  
• Po-Chedley S, Thorsten T J and Fu Q 2015 Removing diurnal cycle contamination in satellite-derived tropospheric temperatures: understanding tropical tropospheric trend discrepancies J. Clim. 282274–90
  Crossref
  
  
• Santer B D et al 2005 Amplification of surface temperature trends and variability in the tropical atmosphere Science 309 1551–6
  Crossref
  
  
• Seidel D J, Free M and Wang J S 2012 Reexamining the warming in the tropical upper troposphere: models versus radiosonde observations Geophys. Res. Lett. 39
  Crossref
  
  
• Sherwood S C 2007 Simultaneous detection of climate change and observing biases in a network with incomplete sampling J. Clim. 20 4047–62
  Crossref
  
  
• Sherwood S C, Lanzante J R and Meyer C L 2005 Radiosonde daytime biases and late-20th century warming Science 309 1556–9
  Crossref
  
  
• Sherwood S C, Meyer M L, Allen R J and Titchner H A 2008 Robust tropospheric warming revealed by iteratively homogenized radiosonde data J. Clim. 21 5336–52
  Crossref
  
  
• Swart N C and Fyfe J C 2012 Observed and simulated changes in the Southern Hemisphere surface westerly wind-stress Geophys. Res. Lett. 39 L16711
  Crossref
  
  
• Thorne P W, Lanzante J R, Peterson T C, Seidel D J and Shine K P 2010 Tropospheric temperature trends: history of an ongoing controversy WIREs Clim. Change 2 66–88
  Crossref
  

 

[jc456]

Wrong... They did not

Not one of your linked papers show the hot spot in the empirical evidence. They cite failed models in every one.

Wrong.

From Atmospheric changes through 2012 as shown by iteratively homogenized radiosonde temperature and wind data (IUKv2) - IOPscience, a link provided in Climate Meme Debunked As The ‘Tropospheric Hot Spot’ Is Found

4. Conclusion
We have briefly described an update of the dataset published by Sherwood et al (2008), which brings the data to February 2013. Several modifications have been introduced, which have not had a large effect on estimated long-term trends in temperature but have enabled us to present a homogenized wind dataset in addition to that for temperature.

The warming patterns shown in the revised dataset are similar to those shown in the original study except that expected patterns now appear somewhat more clearly. These include a near-moist-adiabatic profile of tropical warming with a peak warming rate of 0.25–0.3 K/decade near 300 hPa since either 1959 or 1979. This is interesting given that (a) many studies have reported less-than-expected tropospheric warming, and (b) there has been a slowing of ocean surface warming in the last 15 years in the tropics. We support the findings of other recent studies (Po-Chedley et al 2015) that reports of weak tropospheric warming have likely been due to flaws in calibration and other problems and that warming patterns have proceeded in the way expected from models. Moreover our data do not show any slowdown of tropical atmospheric warming since 1998/99, an interesting finding that deserves further scrutiny using other datasets.

As with other efforts to homogenize radiosonde data, results here may be affected by sampling limitations and inhomogeneities not successfully removed. However, we argue that our approach is well suited for producing a dataset to examine trends. The approach has been shown (Sherwood 2007) to produce individual data records with larger random errors, but which are unique in avoiding some sources of systematic bias as a feature of the method design, and in avoiding some problems common to other methods that will introduce correlated errors in the trends at neighbouring stations. This feature makes the characterization of trend uncertainty in averages over large regions more reliable.

The data presented here (v2.01) may be freely downloaded from the lead author's website1 The authors hope to produce periodic updates to the dataset in the future, following the same procedure documented here.

Acknowledgments
We acknowledge the NOAA Satellite and Information Service and National Climate Data Center for providing the IGRA radiosonde data on which this study is based, as well as the UK Met Office, NASA, and The University of California for supplying surface data. This study was supported by a UNSW Goldstar grant. We thank Lisa Alexander for assistance with surface data and helpful discussions.

Footnotes

• 1
  
  
  Prof. Steve Sherwood - Climate Change Research Centre (CCRC) - University of New South Wales - Australia.
  
  

References

• Agudelo P A and Curry J A 2004 Analysis of spatial distribution in tropospheric temperature trends Geophys. Res. Lett. 31 L2227
  Crossref
  
  
• Allen R A and Sherwood S C 2008 Warming maximum in the tropical upper troposphere deduced from thermal winds Nat. Geosci. 1 399–403
  Crossref
  
  
• CCSP 1986 Temperature Trends in the Lower Atmosphere: Steps for Understanding and Reconciling Differences ed T R Karl et al (Asheville, NC, USA: National Climatic Data Center: US Climate Change Science Program and the Subcommittee on Global Change Research, National Oceanic and Atmospheric Administration) 164 p
• Christy J R, Herman B, Pielke R, Klotzbach P, McNider R T, Hnilo J J, Spencer R W, Chase T and Douglass D 2010 What do observational datasets say about modeled tropospheric temperature trends since 1979? Rem. Sens. 2 2148–69
  Crossref
  
  
• Fu Q and Johanson C M 2005 Satellite-derived vertical dependence of tropical tropospheric temperature trends Geophys. Res. Lett. 32 L10703
  Crossref
  
  
• Fu Q, Johanson C M, Warren S G and Seidel D J 2004 Contribution of stratospheric cooling to satellite-inferred tropospheric temperature trends Nature 429 55
  Crossref
  
  
• Fu Q, Manabe S and Johanson C M 2011 On the warming in the tropical upper troposphere: models versus observations Geophys. Res. Lett. 38 L15704
  Crossref
  
  
• Gruber C and Haimberger L 2008 On the homogeneity of radiosonde wind time series Meteor. Z. 17631–43
  Crossref
  
  
• Haimberger L, Tavolato C and Sperka S 2012 Homogenization of the global radiosonde temperature dataset through combined comparison with reanalysis background series and neighboring stations J. Clim. 25 8108–31
  Crossref
  
  
• Hartmann D L and Coauthor 2013 Observations: atmosphere and surface Climate Change 2013: The Physical Science Basis (Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change) ed T F Stocker, D Qin, G K Plattner, M Tignor, S K Allen, J Boschung, A Nauels, Y Xia, V Bex and P M Midgley (Cambridge: Cambridge University Press)
• Lucas C, Timbal B and Nguyen H 2014 The expanding tropics: a critical assessment of the observational and modeling studies Wiley Interdisc. Rev. Clim. Change 5 89–112
  Crossref
  
  
• Mitchell D M, Thorne P W, Stott P A and Gray L J 2013 Revisiting the controversial issue of tropical tropospheric temperature trends Geophys. Res. Lett. 40 2801–6
  Crossref
  
  
• Morice C P, Kennedy J J, Rayner N A and Jones P D 2012 Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 data set J. Geophys. Res. 117 D08101
  Crossref
  
  
• Po-Chedley S and Fu Q 2012 Discrepancies in tropical upper tropospheric warming between atmospheric circulation models and satellites Environ. Res. Lett. 7 044018
  IOPscience
  
  
• Po-Chedley S, Thorsten T J and Fu Q 2015 Removing diurnal cycle contamination in satellite-derived tropospheric temperatures: understanding tropical tropospheric trend discrepancies J. Clim. 282274–90
  Crossref
  
  
• Santer B D et al 2005 Amplification of surface temperature trends and variability in the tropical atmosphere Science 309 1551–6
  Crossref
  
  
• Seidel D J, Free M and Wang J S 2012 Reexamining the warming in the tropical upper troposphere: models versus radiosonde observations Geophys. Res. Lett. 39
  Crossref
  
  
• Sherwood S C 2007 Simultaneous detection of climate change and observing biases in a network with incomplete sampling J. Clim. 20 4047–62
  Crossref
  
  
• Sherwood S C, Lanzante J R and Meyer C L 2005 Radiosonde daytime biases and late-20th century warming Science 309 1556–9
  Crossref
  
  
• Sherwood S C, Meyer M L, Allen R J and Titchner H A 2008 Robust tropospheric warming revealed by iteratively homogenized radiosonde data J. Clim. 21 5336–52
  Crossref
  
  
• Swart N C and Fyfe J C 2012 Observed and simulated changes in the Southern Hemisphere surface westerly wind-stress Geophys. Res. Lett. 39 L16711
  Crossref
  
  
• Thorne P W, Lanzante J R, Peterson T C, Seidel D J and Shine K P 2010 Tropospheric temperature trends: history of an ongoing controversy WIREs Clim. Change 2 66–88
  Crossref

can't make this up.

models, nothing but models. no actual observation. do you know what homogenized means?

 

[Billy_Bob]

Wrong... They did not

Not one of your linked papers show the hot spot in the empirical evidence. They cite failed models in every one.

Wrong.

From Atmospheric changes through 2012 as shown by iteratively homogenized radiosonde temperature and wind data (IUKv2) - IOPscience, a link provided in Climate Meme Debunked As The ‘Tropospheric Hot Spot’ Is Found

4. Conclusion
We have briefly described an update of the dataset published by Sherwood et al (2008), which brings the data to February 2013. Several modifications have been introduced, which have not had a large effect on estimated long-term trends in temperature but have enabled us to present a homogenized wind dataset in addition to that for temperature.

The warming patterns shown in the revised dataset are similar to those shown in the original study except that expected patterns now appear somewhat more clearly. These include a near-moist-adiabatic profile of tropical warming with a peak warming rate of 0.25–0.3 K/decade near 300 hPa since either 1959 or 1979. This is interesting given that (a) many studies have reported less-than-expected tropospheric warming, and (b) there has been a slowing of ocean surface warming in the last 15 years in the tropics. We support the findings of other recent studies (Po-Chedley et al 2015) that reports of weak tropospheric warming have likely been due to flaws in calibration and other problems and that warming patterns have proceeded in the way expected from models. Moreover our data do not show any slowdown of tropical atmospheric warming since 1998/99, an interesting finding that deserves further scrutiny using other datasets.

As with other efforts to homogenize radiosonde data, results here may be affected by sampling limitations and inhomogeneities not successfully removed. However, we argue that our approach is well suited for producing a dataset to examine trends. The approach has been shown (Sherwood 2007) to produce individual data records with larger random errors, but which are unique in avoiding some sources of systematic bias as a feature of the method design, and in avoiding some problems common to other methods that will introduce correlated errors in the trends at neighbouring stations. This feature makes the characterization of trend uncertainty in averages over large regions more reliable.

The data presented here (v2.01) may be freely downloaded from the lead author's website1 The authors hope to produce periodic updates to the dataset in the future, following the same procedure documented here.

Acknowledgments
We acknowledge the NOAA Satellite and Information Service and National Climate Data Center for providing the IGRA radiosonde data on which this study is based, as well as the UK Met Office, NASA, and The University of California for supplying surface data. This study was supported by a UNSW Goldstar grant. We thank Lisa Alexander for assistance with surface data and helpful discussions.

Footnotes

• 1
  
  
  Prof. Steve Sherwood - Climate Change Research Centre (CCRC) - University of New South Wales - Australia.
  

References

• Agudelo P A and Curry J A 2004 Analysis of spatial distribution in tropospheric temperature trends Geophys. Res. Lett. 31 L2227
  Crossref
  
  
• Allen R A and Sherwood S C 2008 Warming maximum in the tropical upper troposphere deduced from thermal winds Nat. Geosci. 1 399–403
  Crossref
  
  
• CCSP 1986 Temperature Trends in the Lower Atmosphere: Steps for Understanding and Reconciling Differences ed T R Karl et al (Asheville, NC, USA: National Climatic Data Center: US Climate Change Science Program and the Subcommittee on Global Change Research, National Oceanic and Atmospheric Administration) 164 p
• Christy J R, Herman B, Pielke R, Klotzbach P, McNider R T, Hnilo J J, Spencer R W, Chase T and Douglass D 2010 What do observational datasets say about modeled tropospheric temperature trends since 1979? Rem. Sens. 2 2148–69
  Crossref
  
  
• Fu Q and Johanson C M 2005 Satellite-derived vertical dependence of tropical tropospheric temperature trends Geophys. Res. Lett. 32 L10703
  Crossref
  
  
• Fu Q, Johanson C M, Warren S G and Seidel D J 2004 Contribution of stratospheric cooling to satellite-inferred tropospheric temperature trends Nature 429 55
  Crossref
  
  
• Fu Q, Manabe S and Johanson C M 2011 On the warming in the tropical upper troposphere: models versus observations Geophys. Res. Lett. 38 L15704
  Crossref
  
  
• Gruber C and Haimberger L 2008 On the homogeneity of radiosonde wind time series Meteor. Z. 17631–43
  Crossref
  
  
• Haimberger L, Tavolato C and Sperka S 2012 Homogenization of the global radiosonde temperature dataset through combined comparison with reanalysis background series and neighboring stations J. Clim. 25 8108–31
  Crossref
  
  
• Hartmann D L and Coauthor 2013 Observations: atmosphere and surface Climate Change 2013: The Physical Science Basis (Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change) ed T F Stocker, D Qin, G K Plattner, M Tignor, S K Allen, J Boschung, A Nauels, Y Xia, V Bex and P M Midgley (Cambridge: Cambridge University Press)
• Lucas C, Timbal B and Nguyen H 2014 The expanding tropics: a critical assessment of the observational and modeling studies Wiley Interdisc. Rev. Clim. Change 5 89–112
  Crossref
  
  
• Mitchell D M, Thorne P W, Stott P A and Gray L J 2013 Revisiting the controversial issue of tropical tropospheric temperature trends Geophys. Res. Lett. 40 2801–6
  Crossref
  
  
• Morice C P, Kennedy J J, Rayner N A and Jones P D 2012 Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 data set J. Geophys. Res. 117 D08101
  Crossref
  
  
• Po-Chedley S and Fu Q 2012 Discrepancies in tropical upper tropospheric warming between atmospheric circulation models and satellites Environ. Res. Lett. 7 044018
  IOPscience
  
  
• Po-Chedley S, Thorsten T J and Fu Q 2015 Removing diurnal cycle contamination in satellite-derived tropospheric temperatures: understanding tropical tropospheric trend discrepancies J. Clim. 282274–90
  Crossref
  
  
• Santer B D et al 2005 Amplification of surface temperature trends and variability in the tropical atmosphere Science 309 1551–6
  Crossref
  
  
• Seidel D J, Free M and Wang J S 2012 Reexamining the warming in the tropical upper troposphere: models versus radiosonde observations Geophys. Res. Lett. 39
  Crossref
  
  
• Sherwood S C 2007 Simultaneous detection of climate change and observing biases in a network with incomplete sampling J. Clim. 20 4047–62
  Crossref
  
  
• Sherwood S C, Lanzante J R and Meyer C L 2005 Radiosonde daytime biases and late-20th century warming Science 309 1556–9
  Crossref
  
  
• Sherwood S C, Meyer M L, Allen R J and Titchner H A 2008 Robust tropospheric warming revealed by iteratively homogenized radiosonde data J. Clim. 21 5336–52
  Crossref
  
  
• Swart N C and Fyfe J C 2012 Observed and simulated changes in the Southern Hemisphere surface westerly wind-stress Geophys. Res. Lett. 39 L16711
  Crossref
  
  
• Thorne P W, Lanzante J R, Peterson T C, Seidel D J and Shine K P 2010 Tropospheric temperature trends: history of an ongoing controversy WIREs Clim. Change 2 66–88
  Crossref

can't make this up.

models, nothing but models. no actual observation. do you know what homogenized means?

He is clue-less.. The paper itself states their findings are from modeling outputs.. Easily fooled and stuck on stupid..