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Site mean surface change decreased linearly as a function of the inverse of site mean surface roughness (r2 = 0.77, p < 0.00).
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Armour et al. (2013) emphasized the advantage of a local/regional feedback framework, in which feedbacks are formulated as the TOA radiative anomaly per unit local surface temperature change, rather than per unit global mean surface temperature change (i.e., global feedback framework).
In this framework, the loss of radiative energy from the climate system, i.e., radiative damping, is formulated in proportion to the global mean surface temperature change.
This inconstancy affects the transient global mean surface temperature change, and different studies have emphasized the various different aspects of this inconstancy.
By conducting atmospheric general circulation model (AGCM) experiments with a fixed SST pattern (scaled by the global mean surface temperature change), Andrews et al. (2015) verified that the time variation of the global feedback parameter develops from the evolving pattern of surface temperature change.
The global mean surface temperature change at the time of the doubled atmospheric CO2 concentration (average of 61 to 80 years in practice) under a 1%% compound annual increase (1pctCO2 experiment of the Coupled Model Intercomparison Project 5 (CMis5)) is termed transient climate response (TCR, Cubasch et al. 2001).
For example at a defocus (Delta f = 14.5) nm, the mean surface relaxation error changes by more than 6% at the {100} facets, a plot showing this is shown in Additional file 1: Figure S7.
To solve this problem, Tachiiri et al. ([2010]) used the spatial pattern of GCM output, extracted from the change in global mean surface air temperature calculated by an EMIC, to run a vegetation model.
In IPCC assessments, "equilibrium climate sensitivity" refers to the equilibrium change in global mean surface temperature following a doubling of the atmospheric (equivalent) CO2 concentration.
The results highlighted the inadequacy of using the global mean surface temperature as the primary yardstick for climate change.
Free surface changes, mean porosity diameter, and mean pore volume for the MgH2 samples milled for 10 h and the MgH2 samples with 6 wt% of catalyst milled for 10, 20, 30, and 40 h are shown in Fig. 9.
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