This part is patently false.
"They show some graphs that correlate cloud cover with tempurature. Correlation does not equal causation, and there's really not very much in the way to show cloud cover causing tempurature change"
Cloud cover at night reflects radiation heat from the earth back down reheating the planet. That's why clear nights are often much colder. During the day the earth's surface absorbs heat from the sun and radiates it back up into the atmosphere and into space. This is a careful balance we refer to as the earth's heat budget.
So an increase in cloud cover at night would drastically decrease the amount of radiant heat leaving the earth.
I've been a meteorological technician for 9 years this is an absolute fact.
If the research is correct that cloud cover at night is ignored in all the other"accepted" studies, its game over for the climate alarmists. It's as simple as that.
This factor is so large it's hard to believe it was overlooked, if it was.
I've enjoyed watching people in this thread pretend they have a clue what they're talking about because they can pick apart a study by pointing out how many pages long it is lol.
Of course it hasn't been overlooked. Climate scientists have long been talking about the issue of how increased cloud cover due to warming was inducing a feedback. To wit,
Cloud feedback in IPCC report[edit]
The
Intergovernmental Panel on Climate Change (IPCC) assessment reports contain a summary of the current status of knowledge on the effect of cloud feedback on climate models. The
IPCC Fourth Assessment Report (2007) stated:
[16]
By reflecting solar radiation back to space (the albedo effect of clouds) and by trapping infrared radiation emitted by the surface and the lower troposphere (the
greenhouse effect of clouds), clouds exert two competing effects on the Earth’s radiation budget. These two effects are usually referred to as the SW (shortwave) and LW (longwave) components of the cloud radiative forcing (CRF). The balance between these two components depends on many factors, including macrophysical and microphysical cloud properties. In the current climate, clouds exert a cooling effect on climate (the global mean CRF is negative). In response to global warming, the cooling effect of clouds on climate might be enhanced or weakened, thereby producing a radiative feedback to climate warming (Randall
et al., 2006; NRC, 2003; Zhang, 2004; Stephens, 2005; Bony
et al., 2006).
In the most recent, the
IPCC Fifth Assessment Report (2013), cloud feedback effects are discussed in the Working Group 1 report,
[17] in Chapter 7, "Clouds and Aerosols",
[18] with some additional discussion on uncertainties in Chapter 9, "Evaluation of Climate Models".
[19] The report states "Cloud feedback studies point to five aspects of the cloud response to climate change which are distinguished here: changes in high-level cloud altitude, effects of hydrological cycle and storm track changes on
cloud systems, changes in low-level cloud amount, microphysically induced opacity (optical depth) changes and changes in high-latitude clouds." The net radiative feedback is the sum of the warming and cooling feedbacks; the executive summary states "The sign of the net radiative feedback due to all cloud types is less certain but likely positive. Uncertainty in the sign and magnitude of the cloud feedback is due primarily to continuing uncertainty in the impact of warming on low clouds." They estimate the cloud feedback from all cloud types to be +0.6 W/m2°C (with an uncertainty band of −0.2 to +2.0), and continue, "All global models continue to produce a near-zero to moderately strong positive net cloud feedback."
[18]
Futher, about the supposed failure to take cloud cover into account:
http://www.sjsu.edu/faculty/watkins/cloudiness.htm, explains that, "The answer is that the climate models deal in terms of energy flows. The role of temperature is to determine the thermal radiation from the Earth. This radiation is proportional to the fourth power of the absolute temperature. This fourth power relationship means that temperature is the fourth root of the thermal radiation flow and thus if the radiation flow is in error by 20 percent the temperature is in error by only one fourth this much or five percent. Thus a model could be in error by a whopping 40 percent and yet the temperature seems to have a modest error of only ten percent."