Statistical analysis versus computer modeling

Click For Summary

Discussion Overview

The discussion revolves around the validity and implications of statistical analysis versus computer modeling in understanding climate change, particularly the human role in global warming. Participants explore the effectiveness of statistical methods in providing insights into climate dynamics, the limitations of climate models, and the broader implications of these analyses on the climate change debate.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Exploratory

Main Points Raised

  • Some participants highlight a new statistical analysis by Pablo Verdes that suggests a strong link between rising temperatures and greenhouse gas emissions without relying on climate models.
  • Others express skepticism about the reliability of statistical methods, arguing that statistics cannot serve as proof and may only indicate possible solutions.
  • Concerns are raised regarding the short time frame of 150 years for the statistical analysis, with suggestions that longer time scales are necessary for robust conclusions.
  • One participant mentions that while statistical correlations exist, such as between the number of pirates and global temperatures, they do not imply causation.
  • Another participant counters that the statistical approach can still support existing conclusions about anthropogenic influences on climate change.
  • Some assert that the existence of a global warming trend and rising CO2 levels are established facts, while the debate centers on the significance of these changes.
  • There is a call for a focus on reducing carbon emissions and improving environmental practices, regardless of the causes of climate change.

Areas of Agreement / Disagreement

Participants express a range of views, with no consensus on the effectiveness of statistical analysis versus modeling in climate science. Disagreements persist regarding the interpretation of statistical data and its implications for understanding climate change.

Contextual Notes

Participants note limitations in the statistical analysis, including the short time frame and the nature of the evidence presented. There is also a recognition of the complexity of climate systems and the multitude of variables involved.

Who May Find This Useful

This discussion may be of interest to those studying climate science, statistics in scientific research, and environmental policy, as well as individuals engaged in debates about climate change and its implications.

Johan de Vries
Messages
22
Reaction score
0
http://physicsworld.com/cws/article/news/30711

Also here

New statistical analysis confirms human role in climate change

The idea that global warming is caused by changes in solar output rather than human activity has been dealt a further blow by a new analysis of temperature, volcanic and solar-radiation data by a physicist in Germany. The research, carried out by Pablo Verdes from the Heidelberg Academy of Sciences in Germany, does not rely on climate models, which cannot account for all global-warming mechanisms. Instead, the work reveals a strong statistical link between rising temperatures and greenhouse gas emissions (Phys. Rev. Lett. 99 048501).

Most of the evidence for human-induced or “anthropogenic” climate change has come from climate models, which simulate the dynamics of the atmosphere using complex fluid-flow equations. Given inputs of temperature and other climate data from instruments and older proxy records, such as tree rings, these equations are solved numerically using short time increments.

Although all climate models indicate that the Earth’s temperature will continue to rise, some climate-change sceptics have suggested that the anthropogenic influences are exaggerated. For example, because the simulations divide the atmosphere into a 3D lattice with a coarse resolution, they cannot take into account the effects of clouds, which can both reduce or enhance warming.


Rather than trying to simulate the atmosphere as climate models do, Verdes has used statistics to assess man’s role in climate change.
 
Last edited by a moderator:
Earth sciences news on Phys.org
Don't underestimate the skeptics and their capacity for denial.
 
You do realize that statistics do not count as proof, they can only help indicate a possible solution which may or may not be correct?
Furthermore, 150 years (the reported time period of the statistical analysis) is a pathetically short time for testing a particular model. Try thousands or millions of years.
Lastly, the scientist who performed this analysis is not claiming that his report in any way is conclusive proof that anthropogenic global warming exists (atleast according to the news reports). All he said is that his report should “enrich the continuing debate on the future of our climate.”

There is a strong statistical correlation between the number of pirates in the world and the average temperature but that does not mean that the amount of pirates determines the average temperature of the world!

If statistics were so powerful, then scientists wouldn't spend their entire lives looking for explanations of natural phenomenon.
 
Last edited:
sid_galt said:
You do realize that statistics do not count as proof, they can only help indicate a possible solution which may or may not be correct?

That is true, however the significance of this is that an alternate approach supports the existing conclusions.

Furthermore, 150 years (the reported time period of the statistical analysis) is a pathetically short time for testing a particular model. Try thousands or millions of years.

This seems to ignore the nature of the evidence. The test was to identify a forcing function that agrees with the data over that span of time.

...Verdes used a theory known as nonlinear time-series analysis, whereby the existence of a slowly-varying driving force can be deduced without any knowledge of internal dynamics

If we have a forcing function that runs in 100 year cycles, for example, it would not be necessary to look at millions of years of data to see it. Also, if we have an irregular function that has uniquely identifiable characteristics, it might easily be identified when compared to the observed variations in the data.

There is a strong statistical correlation between the number of pirates in the world and the average temperature but that does not mean that the amount of pirates determines the average temperature of the world!

Oh really?
http://en.wikipedia.org/wiki/Image:1000_Year_Temperature_Comparison.png
http://img523.imageshack.us/img523/4919/piratesarecooluw5.jpg

Conversely
Verdes found that the driving-force profile that produced the best fit almost exactly matched records of greenhouse gas and aerosol emissions (see Driving force).

Not only do I doubt that the pirates graph is accurate, there is serious doubt that the profile would match the required forcing function. :wink:

Oh yes, many scientists and engineers use statistics successfully on a daily basis.
 
Last edited by a moderator:
Math and Global Warming

Math always has a place in the universe and vice versa. If anything can be predicted without direct physical observation of the factors involved, then math can do it. Of course, anything that is predicted by math remains as theory unless proven physically. The same goes for statistical data that can lead to conclusions to possible outcomes.

I believe that math can and does give a fairly accurate way of predicting things if the factors involved remain constant for a period of time beyond the expected outcome. However, there are likely too many variables in this global warming phenomenon that are unaccounted for.

You might want to read about this item from TheNewsRoom on how math is used to assess climate change: http://www.thenewsroom.com/details/561532?c_id=wom-bc-ar

I'm writing from TheScienceDesk at TheNewsRoom. We have a group of users into global warming who have found great news from us which they have used for their sites. If you're interested, email mail jtowns@voxant.com. We'll be glad to entertain your inquiries.

- Alvin from TheScienceDesk at TheNewsRoom.com
 
It's proven scientific fact that the temperature has been on a rising trend. It is proven scientific fact that CO2 levels have increased in the atmosphere. We don't need some complex statistical analysis to see these things. The debate isn't over whether or not a global warming trend exists or whether or not humans have led to an increase in CO2 in the atmosphere, etc. the debate is over whether or not this issue even matters.

There is a strong statistical correlation between the number of pirates in the world and the average temperature but that does not mean that the amount of pirates determines the average temperature of the world!

Yes, quite absurd. Everyone knows that the average temperature of the world is determined mainly by the mating patterns of penguins.
 
Last edited:
Use of Debates

Renge's right. Debates are beside the point. Whether or not global warming is caused by natural fluctuations or anthropogenic, there's still the fact that weather patterns are changing and ice is melting. Global warming aside, I still would want the pumping of carbon dioxide into the air, along with other hydrocarbon emissions that constitute air pollution, to cease. I also would want the harvesting of forest trees stopped and that people just resort to tree farming. I'd rather have a world with clean air and trees than one that's foul and bare.

Interestingly, here's news item link from the Investor's Business Daily, courtesy of TheNewsRoom about trees and global warming from the critic's point of view:
http://www.thenewsroom.com/details/219407?c_id=wom-bc-ar

- Alvin from TheScienceDesk at TheNewsRoom.com
 

Similar threads

  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 4 ·
Replies
4
Views
4K
  • · Replies 13 ·
Replies
13
Views
4K
  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 4 ·
Replies
4
Views
5K
  • · Replies 4 ·
Replies
4
Views
7K
  • · Replies 184 ·
7
Replies
184
Views
50K
  • · Replies 13 ·
Replies
13
Views
6K
  • · Replies 1 ·
Replies
1
Views
10K
  • · Replies 73 ·
3
Replies
73
Views
17K