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For example, collapse of the Greenland ice sheet is more than likely to be triggered by a local warming of 2.7C, which could correspond to a global mean temperature increase of 2C or less.
A recent report commissioned by the World Bank warned that the world is on track to have a global mean temperature that is 4°C above pre-industrial levels by 2100.
Greenhouse gases contributed a global mean surface warming likely to be in the range of 0.5°C to 1.3 °C over the period 1951−2010, with the contributions from other anthropogenic forcings, including the cooling effect of aerosols, likely to be in the range of −0.6°C to 0.1°C".
Based on greenhouse climate models and other considerations, it is possible that atmospheric carbon dioxide concentrations may double their late-1700s level by the years 2030 2050 and, along with those of other greenhouse gases (e.g., methane and nitrous oxide), give rise to a global mean surface temperature increase of 1.5° to 5° C.
The percentages are based on a global mean outside bark diameter of 31.65 cm.
All item scores were averaged to obtain a global mean quality score for each classroom.
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Grenfell et al. (2013) used a global-mean radiative-convective-photochemical column model to perform a sensitivity study on the atmosphere of an Earth-like planet.
Grenfell et al. (2014) used a global-mean, stationary, hydrostatic, atmospheric column model, extending from the surface to ∼70 km, to perform a 1D simulation of an Earth-like exoplanet atmosphere.
To make the inter-slide signals more comparable, all net signals of scanned points were normalized using a global-mean method.
Each point represents a, c global mean values and b, d HN mean values of each dynamo simulation.
We hence propose to consider a constant global mean Ā received power in LOS areas as the large-scale parameter.
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