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A little methane with your CO2, sir?

JohnLarue

Well-known member
Jan 19, 2005
19,796
5,054
113
You think you are respected, buddy?
I do know who is not.

a buddy is someone i respect
you are not my buddy



Again, while its nice that you admit your inability to understand things that doesn't mean that smarter people can't figure it out.
Now that you've admitted you can't understand it you should leave it to the experts.
i likely will never understand why any moral and just person would intentionally mislead children.



As for the AI, this is what AI says about its own findings.
Your reliance on AI just shows more ignorance.

AI Overview


AI models frequently produce inconsistent or opposite findings on repeated queries due to their
probabilistic (non-deterministic) nature and design as creative text generators rather than rigid databases. Studies indicate that AI search tools can provide conflicting answers over 60% of the time, often confidently presenting incorrect information.


  • Probabilistic "Hallucinations": AI models operate on probability, not true understanding, which can lead to making assumptions, misinterpreting data, or even generating opposite information to the source they are citing.
So now you are claiming you know / understand the science and the specific issues/ challenges of climate modelling better than Artificial intelligence ?
that's bold of you

So lets be clear
which of these specific issues/ challenges of climate modelling are you claiming is false ?

try reading them this time

AI Overview

Modeling the climate is one of the most complex scientific endeavors due to the need to simulate the intricate, non-linear interactions of the Earth's atmosphere, oceans, cryosphere, and biosphere
. Despite advancements, climate models face significant challenges, ranging from computational limitations to gaps in physical understanding.
Key challenges in climate modeling include:
Simulating cloud systems, which can both warm and cool the planet, is a major, long-standing challenge. Clouds are complex, depend on many variables, and often exist at scales too small to be directly simulated, leading to significant variations in how models predict climate sensitivity.
Most global models divide the Earth into 100x100 km grid cells, which cannot resolve smaller-scale phenomena like thunderstorms, mountains, or urban heat islands. Subgrid processes, such as convection, must be parameterized, which can introduce errors.
High-resolution models require immense computing power. As models become more detailed, managing and analyzing the massive data output creates significant bottlenecks, prompting researchers to seek faster, often less accurate, alternatives.
The climate system has feedback loops that are not fully understood or accurately modeled, such as the release of methane from thawing permafrost or the precise impact of aerosols on clouds.
Climate models may accurately predict surface temperature by having compensating errors—for instance, overestimating cloud cooling while underestimating greenhouse warming—which means they may not be accurate when conditions change in the future.
Natural, random variations in the climate system, such as El Niño, can amplify or diminish climate change over short periods (1-30 years), making it difficult to project local, short-term trends.
Some recent generation models (CMIP6) have predicted significantly higher warming (high climate sensitivity) than observational records suggest, a phenomenon researchers are actively trying to correct.
Reliable observational data is often sparse, inhomogeneous, or spans too short a time, which limits the ability to train and validate models, especially regarding rare extreme events.


here is the reality

the climate models are flawed--
see for yourself, "The Hot Model Problem" - displayed Hot Models vs. satellite temp anomaly' observations, which have independent verification,
in the troposphere exactly where the greenhouse gas theory predicts warming should occur

1771021266774.jpeg

but you insist the Climate Crisis for Children indoctrination video is the one and true story of our extremely complex non-linear, chaotic, and dynamic, climate system
while also claiming you know better than Artificial Intelligence

how long do you figure on claiming this intellectual supremacy over Artificial Intelligence ?


that is beyond absurd
 
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Frankfooter

dangling member
Apr 10, 2015
109,557
33,058
113
So now you are claiming you know / understand the science and the specific issues/ challenges of climate modelling better than Artificial intelligence ?
that bold of you

So lets be clear
which of these specific issues/ challenges of climate modelling are you claiming is false ?
Now you are admitting you don't understand the science, can't follow the kids NASA page and have to paste and quote AI summaries that you also don't understand.
This is one epic failure after another, larue.

All this shows is that you can't think yourself out of a paper bag, even the kids science page was too much.
You can't do real research and can't tell bullshit from science.
So you did the only thing left, AI, because you can't think for yourself.

1771025239247.jpeg

 
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JohnLarue

Well-known member
Jan 19, 2005
19,796
5,054
113
Now you are admitting you don't understand the science, can't follow the kids NASA page and have to paste and quote AI summaries that you also don't understand.
This is one epic failure after another, larue.

All this shows is that you can't think yourself out of a paper bag, even the kids science page was too much.
You can't do real research and can't tell bullshit from science.
So you did the only thing left, AI, because you can't think for yourself.

View attachment 551105

how long do you figure on claiming this intellectual supremacy over Artificial Intelligence ?
 

Frankfooter

dangling member
Apr 10, 2015
109,557
33,058
113
how long do you figure on claiming this intellectual supremacy over Artificial Intelligence ?
Oh, you think AI is smart and can think.
Of course.

Still, when you can't think for yourself I'm sure its the best you can get right now.
Unless you checked in with the experts.....
 

JohnLarue

Well-known member
Jan 19, 2005
19,796
5,054
113
Oh, you think AI is smart and can think.
Of course.

Still, when you can't think for yourself I'm sure its the best you can get right now.
Unless you checked in with the experts.....

how long do you figure on claiming your intellectual superiority over Artificial Intelligence ?

lets be clear about your supposed intellectual superiority
which of these specific issues/ challenges of climate modelling are you claiming is false ?

try reading them this time

AI Overview


Modeling the climate is one of the most complex scientific endeavors due to the need to simulate the intricate, non-linear interactions of the Earth's atmosphere, oceans, cryosphere, and biosphere
. Despite advancements, climate models face significant challenges, ranging from computational limitations to gaps in physical understanding.
Key challenges in climate modeling include:
Simulating cloud systems, which can both warm and cool the planet, is a major, long-standing challenge. Clouds are complex, depend on many variables, and often exist at scales too small to be directly simulated, leading to significant variations in how models predict climate sensitivity.
Most global models divide the Earth into 100x100 km grid cells, which cannot resolve smaller-scale phenomena like thunderstorms, mountains, or urban heat islands. Subgrid processes, such as convection, must be parameterized, which can introduce errors.
High-resolution models require immense computing power. As models become more detailed, managing and analyzing the massive data output creates significant bottlenecks, prompting researchers to seek faster, often less accurate, alternatives.
The climate system has feedback loops that are not fully understood or accurately modeled, such as the release of methane from thawing permafrost or the precise impact of aerosols on clouds.
Climate models may accurately predict surface temperature by having compensating errors—for instance, overestimating cloud cooling while underestimating greenhouse warming—which means they may not be accurate when conditions change in the future.
Natural, random variations in the climate system, such as El Niño, can amplify or diminish climate change over short periods (1-30 years), making it difficult to project local, short-term trends.


Some recent generation models (CMIP6) have predicted significantly higher warming (high climate sensitivity) than observational records suggest, a phenomenon researchers are actively trying to correct.
Reliable observational data is often sparse, inhomogeneous, or spans too short a time, which limits the ability to train and validate models, especially regarding rare extreme events.


come on ! lets have an extremely revelling display of your intellectual superiority over Artificial Intelligence
 
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Frankfooter

dangling member
Apr 10, 2015
109,557
33,058
113
how long do you figure on claiming your intellectual superiority over Artificial Intelligence ?

lets be clear about your supposed intellectual superiority
which of these specific issues/ challenges of climate modelling are you claiming is false ?
Buddy, you've given up the debate, admitting that you aren't smart enough to understand the science.
Now you have to offload your thinking to AI because this conversation is way beyond your comprehension.
 

JohnLarue

Well-known member
Jan 19, 2005
19,796
5,054
113
,

a buddy is someone i respect
you are not my buddy

you've given up the debate,
no actually i won the debate long ago
i am just sitting back, observing you embarrass your self over and over again
and you are becoming more and more absurd with each post
pretending you have intellectual superiority over Artificial Intelligence ??


admitting that you aren't smart enough to understand the science.
that's just plain comical


Now you have to offload your thinking to AI because this conversation is way beyond your comprehension.
there is no conversation
for a long time I have been stating facts which are now confirmed by artificial intelligence. e.g. the climate models run too hot
you state absurd nonsense void of intelligence

how long do you figure on claiming your intellectual superiority over Artificial Intelligence ?


here you go.... once again

AI Overview


Modeling the climate is one of the most complex scientific endeavors due to the need to simulate the intricate, non-linear interactions of the Earth's atmosphere, oceans, cryosphere, and biosphere
. Despite advancements, climate models face significant challenges, ranging from computational limitations to gaps in physical understanding.
Key challenges in climate modeling include:
Simulating cloud systems, which can both warm and cool the planet, is a major, long-standing challenge. Clouds are complex, depend on many variables, and often exist at scales too small to be directly simulated, leading to significant variations in how models predict climate sensitivity.
Most global models divide the Earth into 100x100 km grid cells, which cannot resolve smaller-scale phenomena like thunderstorms, mountains, or urban heat islands. Subgrid processes, such as convection, must be parameterized, which can introduce errors.
High-resolution models require immense computing power. As models become more detailed, managing and analyzing the massive data output creates significant bottlenecks, prompting researchers to seek faster, often less accurate, alternatives.
The climate system has feedback loops that are not fully understood or accurately modeled, such as the release of methane from thawing permafrost or the precise impact of aerosols on clouds.
Climate models may accurately predict surface temperature by having compensating errors—for instance, overestimating cloud cooling while underestimating greenhouse warming—which means they may not be accurate when conditions change in the future.
Natural, random variations in the climate system, such as El Niño, can amplify or diminish climate change over short periods (1-30 years), making it difficult to project local, short-term trends.

Some recent generation models (CMIP6) have predicted significantly higher warming (high climate sensitivity) than observational records suggest, a phenomenon researchers are actively trying to correct.
Reliable observational data is often sparse, inhomogeneous, or spans too short a time, which limits the ability to train and validate models, especially regarding rare extreme events
the climate models are flawed and run too hot
here are the experimental results proving they are flawed

1771051340035.png


the 2020 lock downs had no observable impact on upwards the accumulation of CO2 in the atmosphere
1771053442896.png
the worlds population is not going to accept restrictions like that again, especially after your lot destroyed your false narrative with a mountain of absurd propaganda

here digest this fact

AI Overview

Based on data regarding the natural carbon cycle, the vast majority of carbon dioxide circulating between the Earth's surface and the atmosphere comes from natural sources, including the oceans.

your climate con is falling apart
 

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Frankfooter

dangling member
Apr 10, 2015
109,557
33,058
113
no actually i won the debate long ago
i am just sitting back, observing you embarrass your self over and over again
and you are becoming more and more absurd with each post
pretending you have intellectual superiority over Artificial Intelligence ??


Here's the thing, larue.

You don't understand the science around this debate.
You can't even understand the NASA kid's page on the Greenhouse Effect.

Now you are so far out of it that you had to use AI to find arguments, since you know you lost every other point.
So why would I take the time to answer questions that you can't understand with answers that you won't understand?

Here's the proof:
Ask the questions raised by AI in your own words, showing that you understand the points raised and I'll answer them.
Take them one at a time, ask the first question in a way that shows you understand the specifics around the question.
 

JohnLarue

Well-known member
Jan 19, 2005
19,796
5,054
113
You don't understand the science around this debate.
You can't even understand the NASA kid's page on the Greenhouse Effect.
the problem is you believe those two are one and the same thing
they are not

how long do you figure on claiming your intellectual superiority over Artificial Intelligence ?
 

Frankfooter

dangling member
Apr 10, 2015
109,557
33,058
113
how long do you figure on claiming your intellectual superiority over Artificial Intelligence ?
The fact that you can't paraphrase the AI questions you asked here means you admit you don't understand them yourself.
So you bowed to an external authority that you don't understand, and can't verify, and asked questions you can't answer, hoping to get answers you won't understand.
 

JohnLarue

Well-known member
Jan 19, 2005
19,796
5,054
113
The fact that you can't paraphrase the AI questions you asked here means you admit you don't understand them yourself.
So you bowed to an external authority that you don't understand, and can't verify, and asked questions you can't answer, hoping to get answers you won't understand.
how long do you figure on claiming your intellectual superiority over Artificial Intelligence ?
 
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Frankfooter

dangling member
Apr 10, 2015
109,557
33,058
113
ow long do you figure on claiming your intellectual superiority over Artificial Intelligence ?
Where did I make that claim, buddy?
You're bullshitting again.

When will you admit that you don't even understand the AI questions you posted?
 
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