Man Made Global Warming Disproved Jo. Nova Joanne Nova and Anthony Cox. The theory that failed. It takes only one experiment to disprove a theory. The climate models are predicting a global disaster, but the empirical evidence disagrees. Gmail is email thats intuitive, efficient, and useful. GB of storage, less spam, and mobile access. Issuu is a digital publishing platform that makes it simple to publish magazines, catalogs, newspapers, books, and more online. Easily share your publications and get. Technical Analysis. Flight Physics Simulator For Pc Full Version. PDF generated using the open source mwlib toolkit. See http for more information. PDF generated at Wed, 1650. Two years and two lawsuits after an application was lodged to build new housing in West Berkeley a judge has ruled against City Councils objection. The Economics Of Health Reconsidered Pdf To Jpg' title='The Economics Of Health Reconsidered Pdf To Jpg' />The theory of catastrophic man made global warming has been tested from many independent angles. The heat is missing from oceans its missing from the upper troposphere. The clouds are not behaving as predicted. The models cant predict the short term, the regional, or the long term. They dont predict the past. How could they predict the futureThe models didnt correctly predict changes in outgoing radiation, or the humidity and temperature trends of the upper troposphere. The single most important fact, dominating everything else, is that the ocean heat content has barely increased since 2. In a best case scenario, any increase reported is not enough. The Economics Of Health Reconsidered Pdf To Jpg' title='The Economics Of Health Reconsidered Pdf To Jpg' />Models cant predict local and regional patterns or seasonal effects, yet modelers add up all the erroneous micro estimates and claim to produce an accurate macro global forecast. Most of the warming happened in a step change in 1. CO2 has been rising annually. Observations from every angle point to a similar conclusion. Studies involving 2. US and a 1,0. 00 years of temperature proxies suggest that the Global Climate Models overestimate positive feedback and are based on poor assumptions. Observations suggest lower values for climate sensitivity whether we study long term humidity, upper tropospheric temperature trends, outgoing long wave radiation, cloud cover changes, or the changes in the heat content of the vast oceans. Continued faith in flawed models breaks central tenets of science. The two things which make science different from religion are that nothing in science is sacred, and everything in science must ultimately fit with observations of the real world. While a theory may never be 1. The pieces of the climate jigsaw are coming together. The observations suggest that the warming effect of man made emissions of CO2 has been exaggerated by a factor of 3 7 in computer simulations. Observations show major flaws. The missing heat is not in the ocean. Satellites show a warmer Earth is releasing extra energy to space. The models get core assumptions wrong the hot spot is missing. Clouds cool the planet as it warms 3. The models are wrong on a local, regional, or continental scale. Eight different methods suggest a climate sensitivity of 0. C6. 6Has CO2 warmed the planet at all in the last 5. Its harder to tell than you think. Even if we assume its warmed since 1. CO2, if so, feedbacks are zero disaster averted. It was as warm or warmer 1. Models cant explain that. It wasnt CO2.   The models cant predict past episodes of warming, so why would they predict future ones Figure 1 Climate Sensitivity Comparison empirical methods versus models, for a doubling of the CO2 level. The direct effect of CO2 is only 1. CThe IPCC estimates that carbon dioxides direct effect is 1. C1 of warming that is, before feedbacks are taken into account for each doubling of the carbon dioxide level. Models amplify that warming with assumptions about positive feedback see the blue region of model estimates in the graph below. But observations show that net feedback is probably negative, which would instead reduce the direct effect of the extra carbon dioxide. While independent scientists point to the empirical evidence, government funded scientists argue that a majority of scientists, a consensus, support the theory that a man made catastrophe is coming. This is plainly unscientific and a logical fallacy. The test of scientific knowledge is through experiment and observation. The only evidence the government scientists provide on the key points of attribution the cause of the warming come from simulations of the climate done with computers. Those models are unverified, and when tested, have no skill at predicting the climate. Scientists may claim otherwise, but no single model is proficient, rather a selection of models has success with a few parameters. A multitude of observations are in rough agreement that any increase in global average temperature caused by a doubling of CO2 is more likely to be about half a degree than the 3. IPCC3. The major problem for models Feedbacks. Our climate changes because of outside effects, called forcings the sun grows brighter, or its magnetic field changes, ocean currents shift, vegetation changes, or continents move. The Earth is a ball of magma, is a 1. The IPCC recognizes only two types of forcings greenhouse gases and solar luminosity. Forcings are difficult to unravel. Harder still are feedbacks, as systems all over the planet simultaneously adjust to changing conditions. In a warmer world, for instance, less ice and more plant life means less sunlight is reflected to space, which creates more warming. The oceans release carbon dioxide, more water evaporates, humidity changes, sea levels rise, and all of those consequent changes further affect temperatures. The feedbacks are not just icing on the cake, but in the IPCCs view, collectively more powerful than any forcing due directly to CO2. Indeed while CO2 may cause one degree of warming, the feedbacks amplify this theoretically anyway by up to three degrees. The major agent of feedback, according to the IPCC, is water vapor ie. The IPCC could be right about one hundred factors, but if they are using the wrong assumptions about the way clouds and humidity behave, the forecast of an alarming three degrees could be reduced to a forecast of a mere half a degree. Some details matter more than others. Not only is it hard to put a value on all the feedbacks, its difficult to know if some changes are a feedback or a forcing. Clouds impact on climate would obviously change as the world warms a feedback but, if solar magnetic effects change clouds, as now seems likely, clouds could also drive climate change a forcing. The references here independently show that core model assumptions are wrong. Models assume that relative humidity will stay the same over the tropics as the world warms, that clouds are a positive feedback and not a negative one, and that cloud changes are a feedback and not a forcing in their own right. These are three critical and demonstrable errors. Conclusion. Every which way we measure it, the models predictions dont match the observations. The warming weve had in the last thirty years implies that at best, we could expect 1C  from a doubling of CO2, but observations from eight natural experiments around the globe, and even on Mars and Venus suggest that 0. C  is the upper bound of climate sensitivity to any cause. In addition, if Miscolscki is right, and an increase in carbon dioxide leads to a decrease in water vapor, then the sensitivity due to CO2 could be close to zero. The global warming predictions are contradicted by the data. The vast funding which is now being directed to solving global warming should be redirected to researching hypotheses which are consistent with empirical data and confirmed by observable evidence. The exception proves that the rule is wrong. That is the principle of science. If there is an exception to any rule, and if it can be proved by observation, that rule is wrong. Richard Feynman, according to The Meaning of it All, 1. REFERENCESCombined references from the linked articles. Hansen J., A. Lacis, D. Rind, G. Russell, P. Stone, I. Fung, R. Ruedy and J. Lerner, 1.