Discussion Overview
The discussion revolves around common errors in climate science, specifically focusing on the greenhouse effect and related concepts. Participants explore various claims about the Earth's radiation balance, the role of atmospheric components, and feedback mechanisms in climate models.
Discussion Character
- Debate/contested
- Technical explanation
- Conceptual clarification
Main Points Raised
- Buzz questions the assumption that a non-greenhouse atmosphere, like pure nitrogen, does not affect the equilibrium temperature, suggesting that scattering of blue light could reduce surface temperature.
- Another participant calculates potential power loss due to scattering, proposing that it could lower the surface temperature by about 4K.
- Concerns are raised about the politicization of climate science and the integrity of climate models, with some participants suggesting that errors may be made disingenuously.
- A participant critiques a statement about negative feedback, arguing that in systems with time delays, such feedback can lead to cyclic behavior, including reverse effects.
- There is a suggestion to correct the depiction of the Sun's effective blackbody temperature in the Insight article, highlighting discrepancies in commonly cited values.
- Participants discuss the uncertainty surrounding cloud feedbacks in climate models, noting that the effects of clouds may vary based on altitude and that this area remains contentious.
- One participant emphasizes that the Insight post aims to clarify well-settled aspects of climate science while avoiding more debatable areas.
Areas of Agreement / Disagreement
Participants express a range of views on the errors in climate science, with no clear consensus on the implications of scattering effects, the integrity of climate models, or the role of clouds in feedback mechanisms. The discussion remains unresolved on several points, particularly regarding the complexity of feedback interactions.
Contextual Notes
Participants note that certain assumptions may be missing, such as the impact of clouds on feedback mechanisms, and highlight the uncertainty in how these factors are represented in climate models.