Dear RC, Is it not possible that scientists and mathematicians from the science of non linear dynamics (which maths I am presuming is being used in the maths of climate models) to shed light on the amplification and dampening of
the climates feedback cycles and hence the so called «sensitivity» issue and hence the possible range of temperatures?
Not exact matches
This is an important positive
feedback on the carbon
cycle (the exchange of carbon compounds throughout the
climate system).
So the fact that we have this very strong drying in the tropics during glaciation would argue for a strong
feedback of water vapor concentration to the global
climate during glacial - interglacial
cycles.»
Paul Dirmeyer, a professor in the department of atmospheric, oceanic and earth sciences at George Mason University who was not involved in the study, notes: «Green et al. put forward an intriguing and exciting new idea, expanding our measures of land - atmospheric
feedbacks from mainly a phenomenon of the water and energy
cycles to include the biosphere, both as a response to
climate forcing and a forcing to
climate response.»
General circulation models have generally excluded the
feedback between
climate and the biosphere, using static vegetation distributions and CO2 concentrations from simple carbon -
cycle models that do not include
climate change6.
For this subsystem, many of the longer term
feedbacks in the full
climate system (such as ice sheets, vegetation response, the carbon
cycle) and some of the shorter term bio-geophysical
feedbacks (methane, dust and other aerosols) are explicitly excluded.
The
climate sensitivity classically defined is the response of global mean temperature to a forcing once all the «fast
feedbacks» have occurred (atmospheric temperatures, clouds, water vapour, winds, snow, sea ice etc.), but before any of the «slow»
feedbacks have kicked in (ice sheets, vegetation, carbon
cycle etc.).
Hall, A. & Qu, X. Using the current seasonal
cycle to constrain the snow albedo
feedback in future
climate change.
(Top left) Global annual mean radiative influences (W m — 2) of LGM
climate change agents, generally
feedbacks in glacial - interglacial
cycles, but also specified in most Atmosphere - Ocean General Circulation Model (AOGCM) simulations for the LGM.
Special attention is paid to
feedbacks of physiological changes on the carbon, nitrogen, iron, and sulfur
cycles and how these changes will affect and be affected by future
climate change.
In the other direction, at higher temperatures there is expected to be carbon -
cycle feedbacks, that will amplify the warming, so then the
climate sensitivty would be higher.
Dufresne, P.M Cox, and P. Rayner, 2003: How positive is the
feedback between
climate change and the carbon
cycle?
Friedlingstein, P., et al., 2001: Positive
feedback between future
climate change and the carbon
cycle.
Govindasamy, B., et al., 2005: Increase of the carbon
cycle feedback with
climate sensitivity: results from a coupled and carbon
climate and carbon
cycle model.
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
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
Climate Response (TCR) to 1 % increasing CO2 after 70 years).
Dufresne, J. - L., et al., 2002: On the magnitude of positive
feedback between future
climate change and the carbon
cycle.
Despite claims to the contrary, the conclusions of the IPCC take CO2 fertilisation properly into account in the assessment of
climate change
feedbacks involving the carbon
cycle, and in the assessment of the impacts of
climate change on ecosystems.
Model performance in reproducing the observed seasonal
cycle of land snow cover may provide an indirect evaluation of the simulated snow - albedo
feedback under
climate change.
To explore the potential importance of carbon
cycle feedbacks in the
climate system, explicit treatment of the carbon
cycle has been introduced in a few
climate AOGCMs and some Earth System Models of Intermediate Complexity (EMICs).
Consequently, an international team of researchers led by Markus Reichstein, director at the Max Planck Institute for Biogeochemistry in Jena, Germany, investigated the influence of extreme
climate events on the carbon
cycle of land ecosystems and if the resulting additional CO2 emissions
feedback on
climate change.
The
climate sensitivity classically defined is the response of global mean temperature to a forcing once all the «fast
feedbacks» have occurred (atmospheric temperatures, clouds, water vapour, winds, snow, sea ice etc.), but before any of the «slow»
feedbacks have kicked in (ice sheets, vegetation, carbon
cycle etc.).
There had to have been
feedbacks that moved the global
climate much further in the direction of warming than it would have gone just from the Milankovitch
cycles.
Climate - Carbon
Cycle Feedback Analysis: Results from the C4MIP Model Intercomparison.
Proposed explanations for the discrepancy include ocean — atmosphere coupling that is too weak in models, insufficient energy cascades from smaller to larger spatial and temporal scales, or that global
climate models do not consider slow
climate feedbacks related to the carbon
cycle or interactions between ice sheets and
climate.
Further research will be required to investigate if this fluctuation carries features of projected future
climate change and the CO2 growth rate anomaly has been a first indicator of a developing positive
feedback between
climate warming and the global carbon
cycle.
General circulation models have generally excluded the
feedback between
climate and the biosphere, using static vegetation distributions and CO2 concentrations from simple carbon -
cycle models that do not include
climate change6.
Climate responses are highly likely to be non-linear, and many of the possible
feedbacks are strongly positive (that's a vicious
cycle, for those allergic to slightly technical language.)
I am interested in the lags in the
climate system and to see how the limit
cycles may respond to minor amounts of positive
feedback, such as that due to CO2 outgassing with temperature.
Although the primary driver of glacial — interglacial
cycles lies in the seasonal and latitudinal distribution of incoming solar energy driven by changes in the geometry of the Earth's orbit around the Sun («orbital forcing»), reconstructions and simulations together show that the full magnitude of glacial — interglacial temperature and ice volume changes can not be explained without accounting for changes in atmospheric CO2 content and the associated
climate feedbacks.
For this subsystem, many of the longer term
feedbacks in the full
climate system (such as ice sheets, vegetation response, the carbon
cycle) and some of the shorter term bio-geophysical
feedbacks (methane, dust and other aerosols) are explicitly excluded.
Polar amplication is of global concern due to the potential effects of future warming on ice sheet stability and, therefore, global sea level (see Sections 5.6.1, 5.8.1 and Chapter 13) and carbon
cycle feedbacks such as those linked with permafrost melting (see Chapter 6)... The magnitude of polar amplification depends on the relative strength and duration of different
climate feedbacks, which determine the transient and equilibrium response to external forcings.
The research article has the title Strong carbon
cycle feedbacks in a
climate model with interactive CO2 and sulphate aerosols and appeared in Geophys.
al. of the Hadley Centre Impact of
Climate - Carbon
Cycle Feedbacks on Emission Scenarios....
Aslo, regarding
climate sensitivity a very key thing to remember, especially if sensitivity turns out to be on the high side, is that the «final» equilibrium temperature (Alexi's concerns about there being such a thing aside) calculated from
climate sensitivity does not take into account carbon
cycle feedbacks OR ice sheet changes.
«Positive
feedbacks (self - reinforcing
cycles) within the
climate system have the potential to accelerate human - induced climate change,» says a section from that Climate Science Special report, «and even shift the Earth's climate system, in part or in whole, into new states that are very different from those experienced in the recent past.
climate system have the potential to accelerate human - induced
climate change,» says a section from that Climate Science Special report, «and even shift the Earth's climate system, in part or in whole, into new states that are very different from those experienced in the recent past.
climate change,» says a section from that
Climate Science Special report, «and even shift the Earth's climate system, in part or in whole, into new states that are very different from those experienced in the recent past.
Climate Science Special report, «and even shift the Earth's
climate system, in part or in whole, into new states that are very different from those experienced in the recent past.
climate system, in part or in whole, into new states that are very different from those experienced in the recent past.»
This paper is nonetheless interesting for the link that they make to the carbon
cycle and the potential for
feedbacks that may amplify the CO2 concentration in the future that will depend on the warming, and hence on
climate sensitivity.
«This graph gives you an idea of what the Anthropocene
climate looks like as... without even taking into account the possibility of carbon
cycle feedbacks leading to a release of stored terrestrial carbon.»
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.).)
How come when it comes to «
feedback in
climate» no bugger knows what it means, but when it comes to «
feedback in the rabits / foxes
cycle» or «
feedback as in my mic is next to the loudspeaker for the mic», everyone knows it?
Note that this figure illustrates the uncertainties arising from different greenhouse gas scenarios and
climate models, but almost certainly underestimates the uncertainty associated with carbon -
cycle feedbacks.»
To explore the potential importance of carbon
cycle feedbacks in the
climate system, explicit treatment of the carbon
cycle has been introduced in a few
climate AOGCMs and some Earth System Models of Intermediate Complexity (EMICs).
The carbon
cycle feedback is potentially important to 21st century
climate projections, but is not conventionally included in the
climate sensitivity as it is not a fast
feedback.
It specifically states that
climate sensitivity does not conventionally include carbon
cycle feedback as it is «not a fast
feedback.»
As such, even in the case of the carbon
cycle, it would appear that WG1 AR4 deviated very little if at all from fast
feedback Charney
climate sensitivity.
You underscore a problem: accounting for «slow»
feedbacks suppose that a
climate model or a carbon
cycle model run for centuries.
Friedlingstein, P., Meinshausen, M., Arora, V.K., Jones, C.D., Anav, A., Liddicoat, S.K., and Knutti, R., 2014: Uncertainties in cmip5
climate projections due to carbon
cycle feedbacks.
«How Strong Is Carbon
Cycle -
Climate Feedback under Global Warming?»
For instance, perfect initialization of the state of the Atlantic ocean, a correct simulation of the next 10 years of the solar
cycle, a proper inclusion of stratospheric water vapor, etc may be important for whether the next 5 years are warmer than the previous 5, but it has nothing to do with
climate sensitivity, water vapor
feedback, or other issues.
The amplitudes of the pre-industrial, decadal - scale NH temperature changes from the proxy - based reconstructions (< 1 °C) are broadly consistent with the ice core CO2 record and understanding of the strength of the carbon
cycle -
climate feedback.
We are simply running out of time to stop all of the carbon
cycle feedbacks from intensifying and to stop these devastating, record - breaking wildfires from becoming the normal
climate.