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Missing in the Models

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Natural Variability and Oscillations

Mathematical modeling illusions. The global climate scare – and policies resulting from it – are based on models that do not work Dr. Jay Lehr and Tom Harris For the past three decades, human-caused global warming alarmists have tried to frighten the public with stories of doom and gloom. They tell us the end of the world as we know it is nigh because of carbon dioxide emitted into the air by burning fossil fuels. They are exercising precisely what journalist H. The dangerous human-caused climate change scare may well be the best hobgoblin ever conceived. Many of the statements issued to support these fear-mongering claims are presented in the U.S. It is important to properly understand these models, since they are the only basis for the climate scare. Before we construct buildings or airplanes, we make physical, small-scale models and test them against stresses and performance that will be required of them when they are actually built. 6) How the biosphere reacts to all these various climate drivers.

Dr. Like this: Harvard Physicist/New Study Say Daily Insolation Errors Not Accounted For! By P Gosselin on 29. March 2017 A new paper is out by Rodolfo G.

Cionco and Willie W. H. Soon: “Short Term Orbital Forcing (STOF): A quasi-review and a reappraisal of realistic boundary conditions for climate modeling“. It suggests that climate models have neglected to take surrounding astro-climatic parameters correctly into account, and thus their output results are likely even less reliable. The abstract above states that the two authors found “important relative differences of up to +- 5%, which correspond to 2.5 W/sqm in the daily mean insolation“. Willie Soon, a Harvard astrophysicist and skeptic of AGW science, wrote in an email: To our best understanding, this new insolation calculation should supersede/replace the previous outputs provided by Berger & Loutre (1991) and Laskar et al. (2004) and their related publications especially since all these previous calculations/databases have not accounted for the modulating effects from STOF.

Cloudy modeling problems: Today’s clouds might not be the same as pre-industrial ones | Watts Up With That? Study helps narrow down one reason why clouds are hard to model These bright white clouds might be secretly dirty. CREDIT PNNL From the DOE/PACIFIC NORTHWEST NATIONAL LABORATORY A key problem is that we generally do not have data on clouds from the preindustrial era, before there was pollution, for comparison with the clouds of today. Because clouds are a key part of Earth’s climate system, working out how they behaved before the Industrial Age might ultimately help us better determine how much the world will eventually warm up. The study points to at least two ways to potentially improve how the clouds are simulated in climate models.

“We might have to find clouds far away from civilization,” said study author Steve Ghan of the Department of Energy’s Pacific Northwest National Laboratory. Cloudy affect One of the toughest questions dogging climate scientists is how much the earth will warm from all the greenhouse gases humans are putting into the atmosphere. Cloudy complexity Why? Drivers of Climate.

Climate Drivers and Modelling Concerns -- New Science Posts.