Not exact matches
The metric they have developed, the Vegetation
Sensitivity Index (VSI), allows a more quantifiable response to
climate change challenges and how sensitive different ecosystems are to short -
term climate anomalies; e.g. a warmer June than on
average, a cold December, a cloudy September, etc..
The addition says many
climate models typically look at short
term, rapid factors when calculating the Earth's
climate sensitivity, which is defined as the
average global temperature increase brought about by a doubling of CO2 in the atmosphere.
The efficacy of a forcing is the
climate sensitivity (in
terms of global
average surface temperature change per unit global
average RF) of that forcing relative to a standard type of forcing.
(PS we are considering the
climate sensitivity to be in
terms of changes in global - time
average surface temperature per unit global - time
average radiative forcing, though one could also define other
sensitivities for other measures of
climate).
Climate sensitivity is defined in
terms of global
averages (there is only one number) but a GCM is fully time - dependent, three - dimensional simulation that typically includes atmospheric and ocean processes.
In the same way,
climate sensitivity is a long -
term measure... but it is the
average of the short
term measurements.
If you set goals in
terms of global
average temperature, then you need to feed that through the uncertainty of
climate sensitivity to get the concentration of greenhouse gases — not just carbon dioxide, but the whole range of greenhouse gases.
Climate sensitivity, being essentially determined by the long -
term average over the attractor of a chaotic system which we don't understand very well, is essentially an example of the second case.