If there is a reduction in uncertainty in scientific research, this will encourage scientists to carry out new scientific research. As it is difficult to define uncertainty, it is also not easy to calculate the quantification of uncertainty. But there are also some projections. Say no to plagiarism. Get a tailor-made essay on “Why Violent Video Games Should Not Be Banned”? Get the original essay Here are the summarized climate change projections from the IPCC-ARA for the year 2100: It is predicted that there will be an increase in The global average temperature on the Earth's surface is between 1, 1 and 29 degrees, according to the lowest projection of greenhouse gas emissions in 2100 and there will be a rise in global sea level between 0.18 and 38 m. But under the highest emissions scenario it is predicted that due to greenhouse gas emissions, the increase in the planet's temperature will be between 2.4 and 6.4 degrees and that the Global average sea level rise will be between 0.26 and 0.59 m. Both projections above are based on temperature increase and, due to the increasingly high scenario of greenhouse gas emissions and sea level rise, is due to melting ice caps in the northern regions. First, the uncertainty regarding an increase in temperature and a rise in sea level can be quantified by two model projections by observing the situation. Second, the greenhouse gas emissions range shows our knowledge of greenhouse gas emissions from human activities. Reliance on greenhouse gas emissions depends on a decision that occurs outside the realm of the physical sciences. Third, due to sea level rise, there may be uncertainty in a projection that poorly occurring processes in climate models are important and poorly or not represented. Finally, Farber's argument discussed above represents a fourth assessment. of uncertainty, when it concludes that the IPCC process increases the certainty of climate projections because its completeness and openness reduce the possibility of fundamental flaws in conclusions about global warming. This type of judgment from people outside the climate community is an important indicator of the robustness of knowledge. It examines, using a documented evaluation method, whether non-scientists who use knowledge generated by the scientific study of Earth's climate find the information compelling. These distinct shades of uncertainty are just beginning to cover the spectrum of uncertainty that scientists and policymakers must confront. This broader spectrum would include, for example, the uneven and inconsistent expression of uncertainty by scientists. Sources of uncertainty in CMIP5 projections: The recent discussion on the source of uncertainty in the climate projection by the IPCC AR5 (Fig. 11.8, section 11.3.1.1). In which updates previous analyzes using CMIP3 (temperature, precipitation) to the latest CMIP5 simulations. The main source of uncertainty depends on the temporal, variable and spatial scale. The three main sources of uncertainty in climate projections are future emissions (scenario uncertainty, green), internal climate variability (orange), and inter-model differences (blue). Internal variability is approximately constant over time. And other uncertainties increase over time. But at different prices. Although there is no perfect way to separate.