Sentences with phrase «feedback parameter»
A feedback parameter refers to a measurement or factor that provides information or comments about a particular situation, process, or activity. It helps to assess or adjust the performance, effectiveness, or quality of something based on the feedback received. Full definition
They find a climate feedback parameter of 2.3 ± 1.4 W m — 2 °C — 1, which corresponds to a 5 to 95 % ECS range of 1.0 °C to 4.1 °C if using a prior distribution that puts more emphasis on lower sensitivities as discussed above, and a wider range if the prior distribution is reformulated so that it is uniform in sensitivity (Table 9.3).
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[8] I estimate GISS - E2 - R's effective climate sensitivity applicable to the historical period as 1.9 °C and its ERF F2xCO2 as 4.5 Wm − 2, implying a climate feedback parameter of 2.37 Wm − 2 K − 1, based on a standard Gregory plot regression of (ΔF − ΔN) on ΔT for 35 years following an abrupt quadrupling of CO2 concentration.
Murphy, D.M., and Forster, P.M. (2010) On the accuracy of deriving climate feedback parameters from correlations between surface temperature and outgoing radiation, Journal of Climate, 23, 4983 - 4988.
Comparison of GCM climate feedback parameters for water vapour (WV), cloud (C), surface albedo (A), lapse rate (LR) and the combined water vapour plus lapse rate (WV + LR) in units of W m — 2 °C — 1.
The following demonstrate that the cloud feedback parameter is set by choice: Climate forcings in Goddard Institute for Space Studies SI2000 simulations J. Hansen et all
Differences between the regression slope and the true feedback parameter are significantly reduced when 1) a more realistic value for the ocean mixed layer depth is used, 2) a corrected standard deviation of outgoing radiation is used, and 3) the model temperature variability is computed over the same time interval as the observations.
The ad - hoc feedback parameters in GCMs are far more idiotic than this.
The climate feedback parameter estimated from the MMD AOGCMs ranges from about 0.7 to 2.0 W m — 2 °C — 1 (Supplementary Material, Table S8.1).
More complicated feedback - response models that use a lumped feedback parameter suggest that the same doubling could cause average atmospheric temperatures to rise by less than 2 F °.
The differences in total climate feedback parameter between the Cess and coupled models arise primarily from differences in clear - sky feedbacks that are anticipated from the nature of the Cess experimental design (i.e., ignoring the polar amplification and sea ice albedo feedback).
FEEDBACK PARAMETERS Let T s = global mean surface air temperature R = net flux of heat into the climate system ΔR f = change in R due to some change in.
Water vapour, lapse rate, cloud and surface albedo feedback parameters, as estimated by Colman (2003a), Soden and Held (2006) and Winton (2006a) are shown in Figure 8.14.
The Aa = Ed approximation is still far better than the ad - hoc feedback parameters of the GCMs.
We assign a very likely range of − 0.2 to 1.4 W 8 m — 2 K — 1 for the cloud feedback parameter.
Spencer and Braswell recently showed that in a simple box model for the earth the regression of outgoing radiation against surface temperature gave a slope that differed from the model's true feedback parameter.
Using feedback parameters from Figure 8.14, it can be estimated that in the presence of water vapour, lapse rate and surface albedo feedbacks, but in the absence of cloud feedbacks, current GCMs would predict a climate sensitivity (± 1 standard deviation) of roughly 1.9 °C ± 0.15 °C (ignoring spread from radiative forcing differences).
That is equivalent to an almost uniform prior were instead 1 / S, the climate feedback parameter (lambda), to be estimated.
New paper mixing «climate feedback parameter» with climate sensitivity... «climate feedback parameter was estimated to 5.5 ± 0.6 W m − 2 K − 1» «Another issue to be considered in future work should be that the large value of the climate feedback parameter according to this work disagrees with much of the literature on climate sensitivity (Knutti and Hegerl, 2008; Randall et al., 2007; Huber et al., 2011).
Assuming that this increased energy loss is proportional to the surface temperature change T, we can write F = λ T + Q (1) where λ is the climate feedback parameter.
The climate feedback parameter is also defined in the IPCC glossary, and equation (1) is just an algebraic transformation of the mathematical definition of the climate sensitivity parameter given there.
where ΔQ is the change in net downward TOA energy flux, ΔF is the change in forcing, ie, the change in net downward TOA energy flux that is independent of climate states, ΔT is the change in global means surface temperature, and α is the climate feedback parameter.
• LC did not use black body forcings in their feedback parameters.
The idea of a single (average) feedback parameter is nonsense because you can not average a non-linear system.