The key assumption in
climate feedback analysis is that changes in radiative flux are proportional to surface temperature changes:
Not exact matches
Using historical aerial photo
analysis, soil and methane sampling, and radiocarbon dating, the project quantified for the first time the strength of the present - day permafrost carbon
feedback to
climate warming.
Studies of the link between orbital parameters and past
climate changes include spectral
analysis of palaeoclimatic records and the identification of orbital periodicities; precise dating of specific climatic transitions; and modelling of the
climate response to orbital forcing, which highlights the role of climatic and biogeochemical
feedbacks.
The
analysis of processes contributing to
climate feedbacks in models and recent studies based on large ensembles of models suggest that in the future it may be possible to use observations to narrow the current spread in model projections of
climate change.
Paleoclimate data also provide quantitative information about how nominally slow
feedback processes amplify
climate sensitivity [51]--[52], [54]--[56], which also is important to our
analyses.
Climate model studies and empirical analyses of paleoclimate data can provide estimates of the amplification of climate sensitivity caused by slow feedbacks, excluding the singular mechanisms that caused the hyperthermal
Climate model studies and empirical
analyses of paleoclimate data can provide estimates of the amplification of
climate sensitivity caused by slow feedbacks, excluding the singular mechanisms that caused the hyperthermal
climate sensitivity caused by slow
feedbacks, excluding the singular mechanisms that caused the hyperthermal events.
These myriad unmodeled amplifying
feedbacks support the
analysis that the
climate is much more sensitive to changes in greenhouse gas emissions and other «forcings» than the IPCC models have been saying.
Now, clouds do not make heat exchange imponderable, especially in long term trends of
climate analysis, the averages due to what we already know about dynamic equilibrium outcomes and what we observe in the
feedbacks going back even greater then 30 years.
Climate - Carbon Cycle
Feedback Analysis: Results from the C4MIP Model Intercomparison.
I believe the way that they would have handled it (although I could very well be wrong) is the assumption that so much of the carbon which we emit expressed as a percent will be taken up by that sink — prior to any
climate forcing /
feedback analysis.
This team is the first to account for large scale insect outbreaks in an
analysis of forest carbon balances - and to show the positive
feedback loop between
climate change and warmth loving insect pests.
A new paper by Andrew Dessler of Texas A&M University bolsters the established view of clouds» role as a
feedback mechanism — but not driver — in
climate dynamics through a decade of observation and
analysis of El Nino and La Nina events (periodic warm and cool phases of the Pacific Ocean).
I would certainly love to see an
analysis of
climate feedbacks in a more considered way.
However, in terms of the fast -
feedback Charney
analysis, changes in CO2 is treated simply as a forcing being applied from to system from «outside» of the
climate system, and as a forcing it is not viewed as
feedback — at least according to Hansen (2007)-- see above.
DK12 compounded their erroneous
analysis by attempting to calculate the net
climate feedback based solely on their estimated 2002 - 2008 OHC increase for the uppermost 700 meters, and only considering the CO2 and solar radiative forcings, ignoring the significant aerosol forcing, for example.
Awaiting your reply keenly, Joanne Nova ------------ REFERENCES 1 Hansen J., A. Lacis, D. Rind, G. Russell, P. Stone, I. Fung, R. Ruedy and J. Lerner, (1984)
Climate sensitivity:
Analysis of
feedback mechanisms.
Fred, is the paper you are referencing (quote above) here «
Climate sensitivity:
Analysis of
feedback mechanisms?»
At the London conference, 80 Professors, 60 Doctors of Science and 40 other experts, including Piers Corbyn, brother of Britain's opposition leader, who has a first - class degree in Astrophysics, were shocked to learn that the error, first introduced a generation ago when
climate scientists borrowed
feedback math from electronic network
analysis without really understanding it, is the reason for their exaggerated predictions of how much global warming Man may cause.
One empirical
analysis of the type of F+G 06 does not tell that the
climate feedback parameter Y is 2.3 ± 1.4 W m ^ -2 K ^ -1 with 95 % certaintyor that the equilibrium
climate sensitivity is in the corresponding range 1.0 — 4.1 K. Those limits are obtained only, when the additional assumption of uniform prior in Y is made.
The commentary on
climate feedback was nowhere near the sort of standard I would expect from careful, thoughtful
analysis.
«
Analysis of Bjorn Lomborg's «An Overheated
Climate Alarm»,»
Climate Feedback.
In an
analysis of global warming cloud
feedbacks, Dessler (2010) used short term (i.e., not
climate) variations in surface temperature and CERES data to determine that cloud cover was negatively correlated with temperature.
In response to
feedback, our second
analysis included some updated carbon budgets developed by the Grantham School of
Climate Change and the Environment at LSE, led by Lord Stern.
One of the most exciting outcomes from Ensembles is the development of a
climate mitigation scenario and its
analysis by a variety of state - of - the - art
climate models, many of which include carbon cycle
feedbacks.
[Lorius et al., 1990] concluded from their
analysis that
climate sensitivity to a doubling of CO2 is 3 - 4ºC, in good agreement with independent estimates based on the physical understanding of CO2 forcing and relevant
feedbacks as coded in models.
«
Analysis of Matt Ridley and Benny Peiser's «Your Complete Guide to the
Climate Debate,»»
Climate Feedback, November 27, 2015.
Climate model studies and empirical analyses of paleoclimate data can provide estimates of the amplification of climate sensitivity caused by slow feedbacks, excluding the singular mechanisms that caused the hyperthermal
Climate model studies and empirical
analyses of paleoclimate data can provide estimates of the amplification of
climate sensitivity caused by slow feedbacks, excluding the singular mechanisms that caused the hyperthermal
climate sensitivity caused by slow
feedbacks, excluding the singular mechanisms that caused the hyperthermal events.
Paleoclimate data also provide quantitative information about how nominally slow
feedback processes amplify
climate sensitivity [51]--[52], [54]--[56], which also is important to our
analyses.
These and other observations can be integrated into a model with
feedbacks and having two unstable end ‐ points that is consistent both with classical studies of past
climate states, and also with recent
analysis of ice dynamics in the Arctic basin by Zhakarov, whose oscillatory model identifies
feedback mechanisms in atmosphere and ocean, both positive and negative, that interact in such a manner as to prevent long ‐ term trends in either ice ‐ loss or ice ‐ gain on the Arctic Ocean to proceed to an ultimate state.
I find the
analysis of the
climate case in terms of positive / negative
feedback very interesting.
Climate feedbacks can be confusing, because in climate analyses what is sometimes a climate forcing is at other times a climate fe
Climate feedbacks can be confusing, because in
climate analyses what is sometimes a climate forcing is at other times a climate fe
climate analyses what is sometimes a
climate forcing is at other times a climate fe
climate forcing is at other times a
climate fe
climate feedback.
Our principal aim here is to use Cenozoic
climate change to infer information on the all - important fast -
feedback climate sensitivity, including its state dependence, via
analysis of Earth system sensitivity.
Chapter three also says, «the risk of
climate feedbacks is generally not included in the...
analysis.»
The basic results of this
climate model
analysis are that: (1) it is increase in atmospheric CO2 (and the other minor non-condensing greenhouse gases) that control the greenhouse warming of the
climate system; (2) water vapor and clouds are
feedback effects that magnify the strength of the greenhouse effect due to the non-condensing greenhouse gases by about a factor of three; (3) the large heat capacity of the ocean and the rate of heat transport into the ocean sets the time scale for the
climate system to approach energy balance equilibrium.
«
Analysis of Patrick Michaels» «The
Climate Snow Job»,»
Climate Feedback, January 24, 2016.
Climate sensitivity:
analysis of
feedback mechanisms.
«
Analysis of James Taylor's» 2015 Was Not Even Close To Hottest Year On Record»,»
Climate Feedback.