Constraining climate sensitivity isn't a matter of a few «calculations,» but of considering known or
modeled climate forcings and responses.
Firstly, i'm not entirely sure that the article you have shown me entirely supports the cliam that the IPCC has credibly
modelled the climate forcings.
Not exact matches
The recent slowdown in global warming has brought into question the reliability of
climate model projections of future temperature change and has led to a vigorous debate over whether this slowdown is the result of naturally occurring, internal variability or
forcing external to Earth's
climate system.
By combining this data with Ridgwell's global
climate model, the team deduced the amount of carbon added to the ocean and atmosphere and concluded that volcanic activity during the opening of the North Atlantic was the dominant
force behind the PETM.
Climate model projections neglecting these changes would continue to overestimate the radiative
forcing and global warming in coming decades if these aerosols remain present at current values or increase.
The research may
force a re-examination of the role of acidity in atmospheric chemistry, especially where it affects key processes in
climate change
models.
The team used the new scheme in five ice sheet
models and
forced them with
climate warming conditions taken from two different
climate models.
The new findings of successful multi-year drought / fire predictions are based on a series of computer
modeling experiments, using the state - of - the - art earth system
model, the most detailed data on current ocean temperature and salinity conditions, and the
climate responses to natural and human - linked radiative
forcing.
The researchers» forecasts are based on the AWI's BRIOS (Bremerhaven Regional Ice - Ocean Simulations)
model, a coupled ice - ocean
model that the team
forced with atmospheric data from the SRES - A1B
climate scenario, created at Britain's Met Office Hadley Centre in Exeter.
The researchers used a
climate model, a so - called coupled ocean - atmosphere
model, which they
forced with the observed wind data of the last decades.
In order to understand how El Niño responds to various
climate forces, researchers test
model predictions of past El Niño changes against actual records of past ENSO activity.
He headed the
modeling team at the time but is now directing a new group that is developing integrated
climate models that include social and economic
forces.
In this earth system
model, human belief systems and corresponding
climate governance will drive anthropogenic GHG emissions that
force the
climate system, while the magnitude of
climate change and related extreme events will influence human perception of associated risk.
Indeed the estimate of aerosol
forcing used in the calculation of transient
climate response (TCR) in the paper does not come directly from climate models, but instead incorporates an adjustment to those models so that the forcing better matches the assessed estimates from the Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change
climate response (TCR) in the paper does not come directly from
climate models, but instead incorporates an adjustment to those models so that the forcing better matches the assessed estimates from the Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change
climate models, but instead incorporates an adjustment to those
models so that the
forcing better matches the assessed estimates from the Fifth Assessment Report (AR5) of the Intergovernmental Panel on
Climate Change
Climate Change (IPCC).
Hopefully, more refined work with recent and future data, and incorporation of research into the coupling mechanisms themselves, will allow us to validate the
model climate sensitivities to the various
forcings, and confidently reproduce multidecadal internal
climate modes.
Model simulations of 20th century global warming typically use actual observed amounts of atmospheric carbon dioxide, together with other human (for example chloroflorocarbons or CFCs) and natural (solar brightness variations, volcanic eruptions,...)
climate -
forcing factors.
As we explain in our glossary item, climatologists use the concept of radiative
forcing and
climate sensitivity because it provides a very robust predictive tool for knowing what
model results will be, given a change of
forcing.
Pat argues that it is the general tendency of
climate models when
forced with exponentially increasing CO2 concentrations (as were the
models used in Dr. Covey's CMIP project) to produce a nearly linear temperature rise into the future.
We show elsewhere (8) that a
forcing of 1.08 W / m2 yields a warming of 3/4 °C by 2050 in transient
climate simulations with a
model having equilibrium sensitivity of 3/4 °C per W / m2.
Where
climate sensitivity is estimated in studies involving comparing observations with values simulated by a
forced climate model at varying parameter settings (see Appendix 9.
Empirically, we know that for a particular
model, once you know its
climate sensitivity you can easily predict how much it will warm or cool if you change one of the
forcings (like CO2 or solar).
Themes: Aerosols, Arctic and Antarctic
climate, Atmospheric Science, Climate modelling, Climate sensitivity, Extreme events, Global warming, Greenhouse gases, Mitigation of Climate Change, Present - day observations, Oceans, Paleo - climate, Responses to common contrarian arguments, The Practice of Science, Solar forcing, Projections of future climate, Climate in the media, Meeting Reports, Miscell
climate, Atmospheric Science,
Climate modelling, Climate sensitivity, Extreme events, Global warming, Greenhouse gases, Mitigation of Climate Change, Present - day observations, Oceans, Paleo - climate, Responses to common contrarian arguments, The Practice of Science, Solar forcing, Projections of future climate, Climate in the media, Meeting Reports, Miscell
Climate modelling,
Climate sensitivity, Extreme events, Global warming, Greenhouse gases, Mitigation of Climate Change, Present - day observations, Oceans, Paleo - climate, Responses to common contrarian arguments, The Practice of Science, Solar forcing, Projections of future climate, Climate in the media, Meeting Reports, Miscell
Climate sensitivity, Extreme events, Global warming, Greenhouse gases, Mitigation of
Climate Change, Present - day observations, Oceans, Paleo - climate, Responses to common contrarian arguments, The Practice of Science, Solar forcing, Projections of future climate, Climate in the media, Meeting Reports, Miscell
Climate Change, Present - day observations, Oceans, Paleo -
climate, Responses to common contrarian arguments, The Practice of Science, Solar forcing, Projections of future climate, Climate in the media, Meeting Reports, Miscell
climate, Responses to common contrarian arguments, The Practice of Science, Solar
forcing, Projections of future
climate, Climate in the media, Meeting Reports, Miscell
climate,
Climate in the media, Meeting Reports, Miscell
Climate in the media, Meeting Reports, Miscellaneous.
And a proper discussion of
climate change often does call for precise terms like external
forcing and general circulation
models, and other non-toddler friendly jargon.
Results from
climate models driven by estimated radiative
forcings for the 20th century (Chapter 9) suggest that there was little change prior to about 1915, and that a substantial fraction of the early 20th - century change was contributed by naturally occurring influences including solar radiation changes, volcanism and natural variability.
Even the IPCC admits that many
climate forcings outside of greenhouse gases are poorly understood, and therefore, poorly
modeled.
This was accomplished using a stochastic
climate model based on the concept that ocean temperature variability is a slow dynamical system, a red noise signal, generated by integrating stochastic atmospheric
forcing, or white noise71.
Such studies can reasonably account for the observed variations as a response to solar and volcanic
forcing (and a few secondary things) with energy balance
climate models tuned to have a
climate sensitivity equivalent to 2.5 C per doubling of CO2.
The team increased one
forcing agent (see sidebar) in a
climate model, for example carbon dioxide, and decreased another, say methane, so that global mean temperature didn't change.
Previous
climate model projections of
climate change accounted for external
forcing from natural and anthropogenic sources but did not attempt to predict internally generated natural variability.
Just for the sake of illustration, though, here's one scenario where higher Holocene variability could go along with lower
climate sensitivity: Suppose that some unknown stabilizing mechanism makes the real world less sensitive to radiative
forcing than our current
models.
The differences between the «natural
forcing»
model predictions and measured global temperatures were used to determine AGHG
forcing functions for their final
climate prediction
model.
Lee, Y.H., J. - F. Lamarque, M. G. Flanner, C. Jiao, D. T. Shindell, T. Berntsen, M. M. Bisiaux, J. Cao, W. J. Collins, M. Curran, R. Edwards, G. Faluvegi, S. Ghan, L. W. Horowitz, J. R. McConnell, G. Myhre, T. Nagashima, V. Naik, S. T. Rumbold, R. B. Skeie, K. Sudo, T. Takemura, F. Thevenon (2013), Evaluation of preindustrial to present - day black carbon and its albedo
forcing from ACCMIP (Atmospheric Chemistry and
Climate Model Intercomparison Project), Atmos.
Why It Matters: To understand convective clouds in
climate models, the tall and turbulent storm clouds promising rain, scientists need to describe the strong
forces within them.
Ah, but perhaps their nefarious scheme is to
force all the institutions running
climate models to halt those efforts and instead dedicate their supercomputers and budgets to password - cracking, eh?
Future forecasts of
climate models forced with greenhouse gas levels as high as modern ones tend to result in Pliocene - like
climate (~ 3 million years ago) when sea levels were estimated to be 14 meters higher than they are today.
Despite these caveats, we have shown that the
model realistically simulates meridional changes of sea level pressure in response to
climate forcings (Sect. 3.8.5).
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.
Note that the old GISS
model had a
climate sensitivity that was a little higher (4.2 ºC for a doubling of CO2) than the best estimate (~ 3ºC) and as stated in previous years, the actual
forcings that occurred are not the same as those used in the different scenarios.
[emphasis added] Bast: «We believe that
climate has warmed in the second half of the 20th Century, we believe that there is probably a measurable human impact on
climate but it's probably very small, we think that natural
forces probably overwhelm any impact that human activity can have, that computer
models are too unreliable to forecast what the future might hold for
climate and finally that a modest amount of warming is probably going to be, on net, beneficial both to human beings and the ecosystem.
Knutti, R., T.F. Stocker, F. Joos, and G.K. Plattner, 2002: Constraints on radiative
forcing and future
climate change from observations and
climate model ensembles.
Highest - ranked
climate forcing model (black line) incorporates the decadal series including (←) or without (x) the winter SST series.
In this paper we develop
models that measure
climate forcing in long - term trends of loggerhead sea turtles (Caretta caretta) nesting in Japan and Florida.
While a purely demographic
model could not reproduce this trend, our
climate forcing model that combines the PDO and winter SST, captures this dramatic increase (Fig. 2).
Finally, due to the mechanistic nature of the
climate forcing models, we project historical and future nesting trajectories based on available
climate data and under different
climate change scenarios.
Our
climate forcing models account for 18 — 88 % (ave = 0.60) of the annual variability at the local scale, and 66 — 77 % (ave = 0.71) at the regional scale when nesting data from 1954 — 2009 are considered (Table S1).
Methods: To understand the effects of economic
forces from
climate policy on terrestrial carbon and land use changes, the researchers used the MiniCAM, an integrated assessment
model developed by the PNNL team over the last two decades, to compare different scenarios.
Wood, R.A., A.B. Keen, J.F.B. Mitchell, and J.M. Gregory, 1999: Changing spatial structure of the thermohaline circulation in response to atmospheric CO2
forcing in a
climate model.
They got 10 pages in Science, which is a lot, but in it they cover radiation balance, 1D and 3D
modelling,
climate sensitivity, the main feedbacks (water vapour, lapse rate, clouds, ice - and vegetation albedo); solar and volcanic
forcing; the uncertainties of aerosol
forcings; and ocean heat uptake.
However, in view of the fact that cloud feedbacks are the dominant contribution to uncertainty in
climate sensitivity, the fact that the energy balance
model used by Schmittner et al can not compute changes in cloud radiative
forcing is particularly serious.
The figure below shows the lower stratospheric temperature results from
climate models using both all
forcings and natural
forcings only from 1880 to 2012.