Sentences with phrase «global climate sensitivity»

The variation in global climate sensitivity among GCMs is largely attributable to differences in cloud feedbacks, and feedbacks of low - level clouds in particular.
the figures in the above were based on: «Deriving global climate sensitivity from palaeoclimate reconstructions» Hoffert and Covey, Nature Vol 360, 10th December 1992.
The total surface and atmospheric forcings led Hansen et al. (1993) to infer an equilibrium global climate sensitivity of 3 + / - 1C for doubled CO2 forcing, equivalent to 3/4 + / - 1/4 CW ^ -1 m ^ -2.
Rather, their analysis shows that if you compare the LGM land cooling with the model land cooling, then the model that fits the land best has much higher GLOBAL climate sensitivity than you get for best fit if you use ocean data.
Plotting GHG forcing (7) from ice core data (27) against temperature shows that global climate sensitivity including the slow surface albedo feedback is 1.5 °C per W / m2 or 6 °C for doubled CO2 (Fig. 2), twice as large as the Charney fast - feedback sensitivity.»
Climate models vary widely in their projections of both global mean temperature rise and regional climate changes, but are there any systematic differences in regional changes associated with different levels of global climate sensitivity?
CONCLUSION The values for the global climate sensitivity published by the IPCC cover a range from 2.1 ̊C — 4.4 ̊C with an average value of 3.2 ̊C, which is seven times larger than that predicted here.
Then, if you scale the Antarctic temperature change to a global temperature change, then the global climate sensitivity to a doubling of CO2 becomes 2 - 3 degrees C, perfectly in line with the climate sensitivity given by IPCC (and known from Arrhenius's calculations more than 100 years ago).
Does this all have either an implication for the global climate sensitivity (how much warming would result from a doubling of CO2) or the scenarios used by IPCC to project climate changes out to 2100?
Then, if you scale the Antarctic temperature change to a global temperature change, then the global climate sensitivity to a doubling of CO2 becomes 2 - 3 degrees C, perfectly in line with the climate sensitivity given by IPCC (and known from Arrhenius's calculations more than 100 years ago).
So what happens if we calculate dT, dN, and dF at every gridpoint of the model, use that to solve for climate sensitivity and then take the average to have a global climate sensitivity number?
There are a few main methods to estimate the global climate sensitivity; Lewis and Crok focus on three of these and present their case for why each should be considered valid (when yielding low sensitivity results) or disregarded (when yieliding moderate or high sensitivity results).
The results can give us projections of future global warming under a variety of scenarios, and also give us an estimate of the global climate sensitivity.
It is not known to what extent these differences in land - surface response translate into differences in global climate sensitivity (see Chapter 8, Section 8.5.4.3) although the uncertainty associated with the land - surface response must be smaller than the uncertainty associated with clouds (Lofgren, 1995).
The model accounts systematically for key sources of uncertainty stemming from human emission pathways, global climate sensitivity and regional shifts in climate change.
A number of feedbacks that significantly contribute to the global climate sensitivity are due to the cryosphere.
The uncertainties in the impacts of rising greenhouse gases on multiple systems are significant: the potential impact on ENSO or the overturning circulation in the North Atlantic, probable feedbacks on atmospheric composition (CO2, CH4, N2O, aerosols), the predictability of decadal climate change, global climate sensitivity itself, and perhaps most importantly, what will happen to ice sheets and regional rainfall in a warming climate.
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