In my mind feedback for learning involves
a particular feedback cycle listed below.
Not exact matches
«The world isn't really on an annual
cycle anymore,» GE head of human resources Susan Peters said at the time, explaining that millennial workers in
particular wanted faster, more frequent, mobile - enabled
feedback.
For instance, the sensitivity only including the fast
feedbacks (e.g. ignoring land ice and vegetation), or the sensitivity of a
particular class of climate model (e.g. the «Charney sensitivity»), or the sensitivity of the whole system except the carbon
cycle (the Earth System Sensitivity), or the transient sensitivity tied to a specific date or period of time (i.e. the Transient Climate Response (TCR) to 1 % increasing CO2 after 70 years).
Those establish a
feedback cycle with a lot of inertia, so that they keep on building & selling
particular sorts of cars, even when — as we've seen over the last 40 years or so — large parts of the market clearly prefer something different.
Starting from an old equilbrium, a change in radiative forcing results in a radiative imbalance, which results in energy accumulation or depletion, which causes a temperature response that approahes equilibrium when the remaining imbalance approaches zero — thus the equilibrium climatic response, in the global - time average (for a time period long enough to characterize the climatic state, including externally imposed
cycles (day, year) and internal variability), causes an opposite change in radiative fluxes (via Planck function)(plus convective fluxes, etc, where they occur) equal in magnitude to the sum of the (externally) imposed forcing plus any «forcings» caused by non-Planck
feedbacks (in
particular, climate - dependent changes in optical properties, + etc.).)
Outstanding examples of the latter include, in addition to the examples of SRES and ice sheets above, authors» avoidance of any estimates of carbon
cycle feedbacks involving tundra or methane hydrate reservoirs; and avoidance of estimations of the degree of implementation of adaptation capacity under
particular circumstances.
Uncertainty in the carbon
cycle feedback creates uncertainty in the emissions trajectory required to achieve a
particular stabilisation level.
Feedbacks between the carbon
cycle and climate change affect the required mitigation for a
particular stabilization level of atmospheric carbon dioxide concentration.