The black line represents five - year mean observed Arctic temperature anomalies, the coloured lines represent
the simulated responses to all forcings (red), greenhouse gases alone (green), other anthropogenic forcings alone (mostly aerosols, orange) and natural forcings (blue).
Not exact matches
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).
General circulation models do
simulate clouds, and the clouds they
simulate are a big part of the nature of their
response to both doubled CO2 and
to LGM
forcing.
The obvious open questions relate
to the importance of other
forcings, in particular, greenhouse gases (which were not changed in this experiment), and the robustness of any transient
response (i.e. does a
simulated drought occur in the Sahel in the 1980s more often than at any other time).
Johanessen et al conclude that the consistent appearance of recent warming with GHGs
simulated supports the interpretation that the current warming is a
forced response to GHGs, of which the increase is overwhelmingly human driven.
There are various possible explanations for this discrepancy, but it is interesting
to speculate that it could indicate that the models employed may have a basic inadequacy that does not allow a sufficiently strong AO
response to large - scale
forcing, and that this inadequacy could also be reflected in the
simulated response to volcanic aerosol loading.
We can not rule out the possibility that some of the low - frequency Pacific variability was a
forced response to variable solar intensity and changing teleconnections
to higher latitudes that are not
simulated by the models, or that non-climatic processes have influenced the proxies... the paleodata - model mismatch supports the possibility that unforced, low - frequency internal climate variability (that is difficult for models
to simulate) was responsible for at least some of the global temperature change of the past millennium.»
Coupled models
simulate much less warming over the 20th century in
response to solar
forcing alone than
to greenhouse gas
forcing (Cubasch et al., 1997; Broccoli et al., 2003; Meehl et al., 2004), independent of which solar
forcing reconstruction is used (Chapter 2).
Observed (manual snow survey) and VIC - reconstructed SWE, which exhibit declines across BC, are projected onto the multimodel ensemble means of the VIC -
simulated SWE based on the
responses to different
forcings using an optimal fingerprinting approach.
The study confirms previous similar evaluations and raises concern for the ability of current climate models
to simulate the
response of a major mode of global circulation variability
to external
forcings.
Since there are some differences in the climate changes
simulated by various models even if the same
forcing scenario is used, the models are compared
to assess the uncertainties in the
responses.
Sea - ice and its
response to CO2
forcing as
simulated by global climate models.
Modeling of the recent decadal climate record would require careful accounting for all of the radiative
forcings, and would also require accurate modeling of ocean dynamics
to accurately
simulate the climate system's
response time.
A more definitive reconciliation of modeled and observed temperature changes awaits the extension and improvement of the observations and the algorithms used in processing them, better specification of the natural and human - induced climate
forcings during this period, and improvement of the models used
to simulate the atmospheric
response to these
forcings.break
The new research uses multiple runs of a coupled ocean - atmosphere computer model
to simulate global temperature changes in
response to climate
forcing when the sea surface temperature (SST) in the el Niño region follows its historically observed values.
We find that the multi-model
simulated responses to the effect of anthropogenic
forcing or the effect of anthropogenic and natural
forcing combined are consistent with observed changes.
The climate models considered on average
simulate the amplitude of
response to anthropogenic
forcings well, increasing confidence in their projections of profound future Arctic climate change.
The
simulated sea surface temperature variability from two global coupled climate models for the second half of the 20th century is dominated by natural internal variability associated with the Antarctic Oscillation, suggesting that the models» internal variability is too strong, leading
to a
response to anthropogenic
forcing that is too weak.
This indicates that the model should be rejected as a representation of the real world, and no confidence put in its
simulated responses to aerosols, ozone or any other
forcings.
At least two «counterfactual» ensembles will be
simulated in addition
to that: one with the greenhouse gas
response removed, representing the «world that might have been» without anthropogenic greenhousre gas
forcing and the other one without some key climate relevant aerosols in the atmosphere.
Shown are the
simulated, multi-model mean
responses to (i) the A2 emissions scenario and (ii) an extended B1 scenario, where radiative
forcing beyond the year 2100 was kept constant
to the 2100 value (all data from Meehl et al., 2007, Figure 10.4, see also Meehl et al., 2007, Section 10.7).
Comparison of the observed global - mean temperature record with climate model simulations serves
to validate (and better understand) climate model performance and ability
to simulate the global - mean temperature component of global climate change in
response to radiative
forcings.
However, the observed changes in the Northern Hemisphere circulation are larger than
simulated in
response to 20th century
forcing change.
[24] Schmidt H et al. (2012) Solar irradiance reduction
to counteract radiative
forcing from a quadrupling of CO2: climate
responses simulated by four earth system models Earth Syst.
Figure 2 shows the changes
simulated by GISS - E2 - R in
response to LU
forcing for each of simulation runs 2
to 5.
The first method is a «forward calculation'that uses best estimates of external changes in the climate system (
forcings)
to simulate using a climate model the
response of the climate system.
Rind, D., J. Lean, and R. Healy, 1999:
Simulated time - dependent climate
response to solar radiative
forcing since 1600.
Hansen 2005 also estimated the efficacy for the sum of all the
simulated transient
responses to individual historical
forcing changes, and for the transient
response to all these
forcings being applied at once.
Assuming the
simulated variability and model
response to radiative
forcing are realistic, the results of the present study demonstrate that the combination of greenhouse gas
forcing, sulfate aerosols, and internal variability could have produced the early 20th century warming, although
to do so would take an unusually large realization of internal variability.
Simulated the stress and strain
responses of the structure subjected
to heat and impulse
force