That is, as also seen in previous studies (Qu et al. 2014; Zhou et al. 2015), how TLC reflection covaries with temperature in simulations of the present climate is a strong indicator of a model's TLC
feedback under global warming.
The three main criteria for a robust emergent constraint are satisfied: the physical mechanisms are well understood, the statistical relationship between the quantities of interest is strong, and uncertainties in the observed variations are weak, allowing Hall and Qu to constrain the snow - albedo
feedback under global warming.
Zeng, N., and J.Yoon, 2009: Expansion of the world's deserts due to vegetation - albedo
feedback under global warming, Geophys.
«How Strong Is Carbon Cycle - Climate
Feedback under Global Warming?»
How may low - cloud radiative properties simulated in the current climate influence low - cloud
feedbacks under global warming?
Not exact matches
Plattner, G. - K., F. Joos, T.F. Stocker, and O. Marchal, 2001:
Feedback mechanisms and sensitivities of ocean carbon uptake
under global warming.
Joos, F., et al., 2001:
Global warming feedbacks on terrestrial carbon uptake
under the IPCC emission scenarios.
ESTIMATING THE PERMAFROST - CARBON
FEEDBACK ON
GLOBAL WARMING A key uncertainty is the fraction of carbon that might be decomposed
under anaerobic conditions — resulting potentially in methane emissions to the atmosphere.
17 Modeling
Global Warming Computer modeling is complicated by the Earth's
feedback processes that sometimes make it necessary to use different equations
under changing simulated environments.
«
Under these simplifying assumptions the amplification [f] of the
global warming from a
feedback parameter [b](in W m — 2 °C — 1) with no other
feedbacks operating is 1 / (1 --[bκ — 1]-RRB-, where -LSB--- κ — 1] is the «uniform temperature» radiative cooling response (of value approximately — 3.2 W m — 2 °C — 1; Bony et al., 2006).