We do NOT have "false data". We do NOT have "stupid correlations" and the GCM models have been quite accurate. We have repeatable empirical observations that CO2 absorbs IR energy radiated by the planet that no other gas in the atmosphere absorbs. Greenhouse warming is an established fact. What is lacking is any evidence of any other process that could be causing the observed warming or any reason why CO2 would NOT be absorbing the energy it has been seen to absorb. This points out a serious shortfall in the nation's basic science education.
Actually there is false data. Excluding data because it leads to a different conclusion than the one they want is tantamount to false data.
Here is a summary of some recent findings.
Research in Astronomy and Astrophysics
www.raa-journal.org
A diverse expert panel of global scientists finds blaming climate change mostly on greenhouse gas emissions was premature. Their findings contradict the UN IPCC’s conclusion, which the study shows, is grounded in narrow and incomplete data about the Sun’s total solar irradiance.
Most of the energy in the Earth’s atmosphere comes from the Sun.
It has long been recognized that changes in the so-called “total solar irradiance” (TSI), i.e., the amount of energy emitted by the Sun, over the last few centuries, could have contributed substantially to recent climate change. However, this new study found that the UN’s Intergovernmental Panel on Climate Change (IPCC) only considered a small subset of the published TSI datasets when they were assessing the role of the Sun in climate change and that this subset only included “low solar variability” datasets. As a result, the IPCC was premature in ruling out a substantial role for the Sun in recent climate change.
A new scientific review article has just been published on the role of the Sun in climate change over the last 150 years.
It finds that the United Nations’ Intergovernmental Panel on Climate Change (IPCC) may have been premature in their conclusion that recent climate change is mostly caused by human greenhouse gas emissions. The paper by 23 experts in the fields of solar physics and of climate science from 14 different countries is published in the peer-reviewed journal Research in Astronomy and Astrophysics (RAA). The paper, which is the most comprehensive to date, carries out an analysis of the 16 most prominent published solar output datasets, including those used by the IPCC. The researchers
compared them to 26 different estimates of Northern Hemisphere temperature trends since the 19th century (sorted into five categories), including the datasets used by the IPCC. They focused on the Northern Hemisphere since the available data for the early 20th century and earlier is much more limited for the Southern Hemisphere, but their results can be generalized for global temperatures.
The study found that scientists come to opposite conclusions about the causes of recent climate change depending on which datasets they consider. For instance, in the graphs above, the panels on the left lead to the conclusion that global temperature changes since the mid-19th century have been mostly due to human-caused emissions, especially carbon dioxide (CO2), i.e., the conclusion reached by the UN IPCC reports.
In contrast, the panels on the right lead to the exact opposite conclusion, i.e., that the global temperature changes since the mid-19th century have been mostly due to natural cycles, chiefly long-term changes in the energy emitted by the Sun.
Both sets of panels are based on published scientific data, but each uses different datasets and assumptions. On the left, it is assumed that the available temperature records are unaffected by the urban heat island problem, and so all stations are used, whether urban or rural. On the right, only rural stations are used. Meanwhile, on the left, solar output is modeled using the low variability dataset that has been chosen for the IPCC’s upcoming (in 2021/2022) 6th Assessment Reports. This implies zero contribution from natural factors to the long-term warming.
On the right, solar output is modeled using a high variability dataset used by the team in charge of NASA’s ACRIM sun-monitoring satellites. This implies that most, if not all, of the long-term temperature changes are due to natural factors.
Here is the link to the full paper.
https://iopscience.iop.org/article/10.1088/1674-4527/21/6/131/pdf
pubs.geoscienceworld.org
