Sentences with phrase «estimate of climate sensitivity»

What's more, the slowdown meant that simple estimates of climate sensitivity based on the recent temperature record were lower.
This new study found that accounting for the efficacy of historical forcings changes the best estimate of climate sensitivity from analysis of the instrumental period.
The implications are still that a lower estimate of climate sensitivity means «there is a reason to act».
The wide range of estimates of climate sensitivity is attributable to uncertainties about the magnitude of climate feedbacks (e.g., water vapor, clouds, and albedo).
Would the lower rate of cooling give us something close to an empirical estimate of climate sensitivity to increased CO2?
In addition, past data can be used to provide independent estimates of climate sensitivity, which provide a reality check on the models.
Second, it is the among the lowest estimates of climate sensitivity among actively publishing climate researchers.
Here we briefly discuss the radiative forcing estimates used for understanding climate during the last millennium, the mid-Holocene and the Last Glacial Maximum (LGM)(Section 9.3) and in estimates of climate sensitivity based on palaeoclimatic records (Section 9.6.3).
Has anyone told her that the lowest estimate of climate sensitivity comes from MIT's own Richard Lindzen?
I would also bet that Hansen's estimate of climate sensitivity at 3 degrees Centigrade is too high.
Observational estimates of climate sensitivity from changes in the rate of ocean heat uptake and comparison to CMIP5 models.
Recently a new model - based paper on climate sensitivity was published by Kate Marvel, Gavin Schmidt (the head of NASA GISS) and others, titled «Internal variability and disequilibrium confound estimates of climate sensitivity from observations».
To better assess confidence in the different model estimates of climate sensitivity, two kinds of observational tests are available: tests related to the global climate response associated with specified external forcings (discussed in Chapters 6, 9 and 10; Box 10.2) and tests focused on the simulation of key feedback processes.
That a robust behaviour in models of apparent (effective) climate sensitivity being lower in the early years after a forcing is imposed than subsequently, rather than remaining constant, requires multiplying estimates of climate sensitivity by a further factor of ~ 1.25 in order to convert what they actually estimate (effective climate sensitivity) to ECS.
A best estimate of climate sensitivity close to 3 °C for doubled CO2 has been inferred from paleoclimate data [51]--[52].
TOP: A collection of probability estimates of the climate sensitivity as presented in the IPCC AR4.
Caps will error because (1) they won't cover some major emitters for decades, (2) they won't cover land - use changes, (3) the best scientific estimate of climate sensitivity is uncertain by hundreds of billions of tonnes, (4) the earth's CO2 uptake by 2 ° target date is highly uncertain.
However, the point of this posting is to convince those WUWT readers, who, like Einstein, need a physical analogy before they will accept any mathematical abstraction, that the atmospheric «greenhouse» effect is indeed real, even though estimates of climate sensitivity to doubling of CO2 are most likely way over-estimated by the official climate Team.
As the comment from Covey et al makes clear, he is calculating a sensitivity to surface energy fluxes that is almost 100x larger than standard estimates of the climate sensitivity.
The reason why a 1 / S ^ 2 prior is noninformative is that estimates of climate sensitivity depend on comparing changes in temperature with changes in -LCB- forcing minus the Earth's net radiative balance (or its proxy, ocean heat uptake)-RCB-.
«the long fat tail that is characteristic of all recent estimates of climate sensitivity simply disappears, with an upper 95 % probability limit... easily shown to lie close to 4 °C, and certainly well below 6 °C.»
BOTTOM: A collection of post-IPCC AR4 probability estimates of the climate sensitivity showing a lower mean and more constrained estimates of the uncertainty.
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