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In terms of quantitative elements, they provide data accompanying the scenarios on national population, urbanization and GDP (per capita). [6] The SSPs can be quantified with various Integrated Assessment Models (IAMs) to explore possible future pathways both with regards to socioeconomic and climate pathways. [4] [5] [6] The five scenarios are:
In the 1980s, the terms global warming and climate change became more common, often being used interchangeably. [ 29 ] [ 30 ] [ 31 ] Scientifically, global warming refers only to increased surface warming, while climate change describes both global warming and its effects on Earth's climate system , such as precipitation changes.
Drivers of climate change from 1850–1900 to 2010–2019. Future global warming potential for long lived drivers like carbon dioxide emissions is not represented. The scientific community has been investigating the causes of climate change for decades.
A study by Climate Central, a U.S.-based research group, looked at temperatures in 180 countries and 22 territories and found that 98% of the world's population were exposed to higher temperatures ...
Many parameters influence climate change scenarios. Three important parameters are the number of people (and population growth), their economic activity new technologies. Economic and energy models, such as World3 and POLES, quantify the effects of these parameters. Climate change scenarios exist at a national, regional or global scale.
[1] [2] It is a concrete form of the more general I = PAT equation [3] relating factors that determine the level of human impact on climate. Although the terms in the Kaya identity would in theory cancel out, it is useful in practice to calculate emissions in terms of more readily available data, namely population, GDP per capita, energy per ...
A plausible and significant contributor to global catastrophic risk; the potential for climate change to be a global catastrophic threat can be referred to as "catastrophic climate change". Global decimation risk: The probability of a loss of 10% (or more) of global population and the severe disruption of global critical systems (such as food ...
Climate models are available on different resolutions ranging from >100 km to 1 km. High resolutions in global climate models require significant computational resources, and so only a few global datasets exist. Global climate models can be dynamically or statistically downscaled to regional climate models to analyze impacts of climate change ...