2 plus more years and all the nonsense and bullshit Trump has created will be wiped out.Trump Administration Erases the Government’s Power to Fight Climate Change
The Environmental Protection Agency repealed the bedrock scientific finding that greenhouse gases threaten human life and well being. It means the agency can no longer regulate them.
I am fine with that. 2 plus years from now Canada will be exporting more crude2 plus more years and all the nonsense and bullshit Trump has created will be wiped out.
Except the CO2 will stay in the atmosphere for hundreds of years.2 plus more years and all the nonsense and bullshit Trump has created will be wiped out.
Unless, of course, we're all wiped out first.
The NASA kids explanation of the Greenhouse effect is likely too hard for you to understand, but give it a try.Co2 is not the control knob for our extremely complex, non -linear , chaotic and dynamic climate system
Who cares we won't be here to inhale it.Except the CO2 will stay in the atmosphere for hundreds of years.
And how should governments fight climate change. By banning gas powered law mowers but not private jets or super yachts.Trump Administration Erases the Government’s Power to Fight Climate Change
The Environmental Protection Agency repealed the bedrock scientific finding that greenhouse gases threaten human life and well being. It means the agency can no longer regulate them.
this guy has no idea what hes talking about.
The NASA kids explanation of the Greenhouse effect is likely too hard for you to understand, but give it a try.
See if you can follow the science or tell us where they went wrong without just declaring it 'propaganda'.
![]()
What Is the Greenhouse Effect? - NASA Science
Watch this video to learn about the greenhouse effect!science.nasa.gov
And how should governments fight climate change. By banning gas powered law mowers but not private jets or super yachts.
I know.our extremely complex, chaotic, non-linear, dynamic climate system has always changed and likely will continue to change
there is no ' fighting ' that
You must either hate your kids or just hate all kids.Who cares we won't be here to inhale it.
It ranks you as a total kook, someone who thinks NASA is propaganda.you really should try to elevate your science understanding above videos intended to deliberately mislead children
no doubt the will be some children who will rightfully question the intentional deceit
where does that rank you?
Look, buddy, you're not smart enough to even understand the kids Greenhouse page at NASA.our extremely complex, chaotic, non-linear, dynamic climate system has always changed and likely will continue to change
there is no ' fighting ' that
a buddy is someone i respect]Look, buddy, you're not smart enough to even understand the kids Greenhouse page at NASA.
our climate system is far too complex to be modelled properlyThere is zero chance you can understand the climate and climate modelling.
i have forgotten more than you will ever understandJust admit it.
You aren't bright enough for this debate.
you do not have the very first clue about what you speakJust because its too complex and chaotic for you to understand doesn't mean that smarter people can't understand it.
AI Overview
Yes, a chaotic system can be modeled
, but its inherent sensitivity to initial conditions (the butterfly effect) means long-term prediction is impossible.
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:
Cloud Representation (The Biggest Uncertainty):
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.
Coarse Spatial Resolution:
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.
Computational Intensity and Data Bottlenecks:
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.
Incomplete Understanding of Feedbacks:
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.
"Right Answer for Wrong Reasons":
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.
Internal Variability:
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.
"Hot Model" Problem:
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.
Limited Observations for Validation:
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.
You think you are respected, buddy?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.our climate system is far too complex to be modelled properly
they do not know how to model cloud formation or turbulence, so they just do not bother or make a guess
the great larue has spokeni have forgotten more than you will ever understand
the great larue has spokenyou do not have the very first clue about what you speak
I beg to differ.this guy has no idea what hes talking about.





