Search results
Results from the WOW.Com Content Network
According to the website, each monthly issue "contains monthly mean temperature, pressure, precipitation, vapor pressure, and sunshine for approximately 2,000 surface data collection stations worldwide and monthly mean upper air temperatures, dew point depressions, and wind velocities for approximately 500 observing sites.
Currently, 757 million humans live in the 101 largest cities; [41] these cities are home to 11% of the world's population. [41] By the end of the century, the world population is projected to grow, with estimates ranging from 6.9 billion to 13.1 billion; [41] the percentage of people living in the 101 largest cities is estimated to be 15% to 23 ...
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:
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.
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.
The climate system will vary in response to changes in forcings. [15] The climate system will show internal variability both in the presence and absence of forcings imposed on it. This internal variability is a result of complex interactions between components of the climate system, such as the coupling between the atmosphere and ocean. [16]
The initial version of Global Historical Climatology Network was developed in the summer of 1992. [3] This first version, known as Version 1 was a collaboration between research stations and data sets alike to the World Weather Records program and the World Monthly Surface Station Climatology from the National Center for Atmospheric Research. [4]