Clouds Big Influence on Climate

November 1, 2019

This topic has been covered extensively in the the last decade or more, but does not get a lot of attention by those who chose to consider CO2 as the lone taxable and/or social change pollutant causing climate change and future certain death and destruction.

But there is yet another report on the impact of cloud cover on the “climate” of the earth, i.e. temperature.

The climate models in use by Climate Scientists [sic] consider cloud cover an “output” of the model caused by climate change; whereas data and logic suggests that cloud cover has a direct impact on air temperature and hence on the “climate”. Anyone spending time at the beach on a sunny day that suddenly turns cloudy can attest to this physical behaviour.

See the summary on Jo Nova’s outstanding web site New study settles it: Global Warming and the pause was driven by changes in cloud cover, not CO2

Climate models do not have alogrithms for cloud creation since they do not understand how clouds are formed. however, there is much science which suggests there are explainable physical mechanisms for how clouds are formed with influence from the sun, solar magnetic field, and cosmic rays:

Cloud cover changes could be caused by changes in the solar magnetic field, which may drive cloud seeding via its effect on the cosmic rays that bombard Earth (see Henrik Svensmark). But clouds could also be affected by the solar wind or by solar spectral changes, neither of which are included in GCMs. Clouds could also be driven by changes in aerosols due to volcanoes, bacteria, and plankton. Clouds could also form differently with changes in jetstreams or ocean currents. Meandering jet streams put huge “fingers” of cold air into warm air zones — surely a recipe for more cloud formation.

Global Climate Models have no chance of predicting cloud cover. They assume cloud changes are a feedback, not a forcing. So, right from the start, the models don’t even recognise that some outside force might be independently changing cloud cover. In 2012, Miller et al. reported that models got cloud feedbacks wrong by 70W/m2 — an error that’s nearly 20 times larger than the total effect of CO2. What a farce.

Showing Temperature Data Realistically

November 1, 2019

There is an interesting article out on Watts Up with That which shows again how data is represented can be used to give the preferred narrative. An example is how some Climate Scientists [sic] like to show the data in a way which most easily scares people.

See the link, but in summary notice when graphs the temperature anomaly vs. just showing the data.

There are so many ways to “Lie with Statistics“.