The global
warming models presented by Hansen (2006) are shown in Figure 1.
Not exact matches
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.
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, Miscellaneous.
While there is at
present no compelling reason to doubt the
models» handling of water vapor feedback, it is not out of the question that some unanticipated behavior of the hydrological cycle could make the
warming somewhat milder — or on the other hand, much, much worse.
I will after
present 1D and 3D self - consistent cloud
models, which allow to explain several observations of brown dwarfs, directly imaged young exoplanets and
warm transiting exoplanets.
Figure 3 is a similar graphic to that
presented in Meehl et al. (2004), comparing the average global surface
warming simulated by the
model using natural forcings only (blue), anthropogenic forcings only (red), and the combination of the two (gray).
In the original article Angela did write: «This effect, called the permafrost carbon feedback, is not
present in the global climate change
models used to estimate how
warm the earth could get over the next century.»
This effect, called the permafrost carbon feedback, is not
present in the global climate change
models used to estimate how
warm the earth could get over the next century.
ABSTRACT «We
present an advanced two - layer climate
model, especially appropriate to calculate the influence of an increasing CO2 - concentration and a varying solar activity on global
warming.
While there is at
present no compelling reason to doubt the
models» handling of water vapor feedback, it is not out of the question that some unanticipated behavior of the hydrological cycle could make the
warming somewhat milder — or on the other hand, much, much worse.
The scientific community has also known for some time that the predicted future global
warming in most climate
models (more than 2 degrees C.) would probably be well above the long - term average temperature
present at any time during the Holocene.
Stratospheric cooling accompanied by surface
warming is actually PREDICTED by GHG
model yet GW deniers
present the stratospheric cooling part as «proof» that global
warming was NOT happening!!
-- and if at some time in the future there is a major adjustment to GCMs
modelling like plugging in a new science based assumption that x
warming will actually / or has triggered negative feedbacks like ASI area / piomass loss, or methane hydrates emissions inott eh atmosphere versus the
present GCMs that such changes in the GCMs be noted in these Summary Key data Updates.
So if a scientist questions the adequacy of
present climate
models, or fails to find conclusive evidence for global
warming in a particular data - set, he or she is often reported as claiming that «there isn't really a problem».
Even under a minimum - emissions scenario,
models indicate a
warming of 1.5 C above
present - day temperatures by the year 2100.
Figure 8
presents model - data trend comparisons for the two
warming periods since 1914 and the
warming hiatus period from 1945 to 1975.
At
present, numerical
models are simply unable to deal with East Antarctica for a variety of reasons including poor
model constraints and insufficient understanding of key processes, e.g. circulation of
warm water around the periphery and its impact on ice shelf melt.
Recent
modeling work also points toward future collapse, even at reduced rates of
warming and decay from the
present (19).
There is a new myth circulating in the climate contrarian blogosphere and mainstream media that a figure
presented in the «leaked» draft Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report shows that the planet has
warmed less than previous IPCC report climate
model simulations predicted.
IPCC computer
models dating from 1990 through the
present have consistently predicted at least 2.4 degrees of global
warming per century.
This cooling
presented an embarrassment for climate
models that could explain only greenhouse
warming.
Finally, a paper by Dr Philip Goodwin of the University of Southampton and colleagues also rebaseline ESMs to match
present emissions and temperatures, but instead of using the set of CMIP5
models to devise their budget, they employ a simplified ESMthat is designed to be consistent with observed
warming and emissions to date.
The best that can be said for the catastrophist side is that there is at least some evidence that future
warming or changes in sea level or ocean chemistry could be catastrophic, even though this evidence is far from conclusive and is actively contradicting most
models that predict catastrophe at
present.
Carbon budgets have been estimated by a number of different methods, including complex ESMs (shown in yellow), simple climate
models employed by Integrated Assessment Models (IAMs, shown in red), and by using observational data on emissions and warming through present to «constrain» the ESM results (shown in
models employed by Integrated Assessment
Models (IAMs, shown in red), and by using observational data on emissions and warming through present to «constrain» the ESM results (shown in
Models (IAMs, shown in red), and by using observational data on emissions and
warming through
present to «constrain» the ESM results (shown in blue).
Lets see......... Bob Tisdale
presents graphs comparing
modeled 30 - year trends to 30 - year trends of the various surface temperature products in his FREE e-book «On Global
Warming and the Illusion of Control.»
Whereas most proxy - based reconstructions point to an early - middle LIG climatic optimum with reduced summer sea ice concentrations between 126 and 116 ka, the results of our
model simulations only support a pronounced reduction in summer sea ice concentration for the LIG - 125 and LIG - 130 runs (in both time slice as well as transient runs; Figs. 8 and 9), but also indicate that sea ice was still
present in the central Arctic Ocean even under climatic conditions significantly
warmer than today (Fig. 4).
«the 1700 -
present greenhouse gas forcing is more than double the 1700 -
present solar forcing and hence the
warming trend over that period in the
model is driven mainly by GHGs.»
But what with evidence somewhat lacking on positive CO2 feed backs, the
present temperature plateau continuing,
model projections of
warming way out with observation, the analogy appears a bit, well, Ehrlichean, seems to me.And then there's the bleeding of economies by costs of CO2 reduction measures and subsidizing ineffectual, (evidence indicates even un-environmental) renewable energy policies, no gain for lotsa» pain.
«Absrtact: Wentz et al. (Reports, 13 July 2007, p. 233)
present a satellite estimate of global - mean rainfall that increases with global
warming faster than predicted by climate
models.
«To assess the
models» cloud feedback and climate sensitivity, we follow the Cess approach by conducting a pair of
present - day and global
warming simulations for each
model using prescribed SSTs and greenhouse gas (GHG) concentrations (Cess et al. 1990).
Moreover, it is not clear that the relationship that happens to exist in CMIP5
models between
present day biases and future
warming is a stable one, even in global climate
models.
That is, as also seen in previous studies (Qu et al. 2014; Zhou et al. 2015), how TLC reflection covaries with temperature in simulations of the
present climate is a strong indicator of a
model's TLC feedback under global
warming.
50 Beech Future range Overlap
Present range Fig. 20 - 13, p. 478 Figure 20.13 Natural capital degradation: possible effects of global
warming on the geographic range of beech trees based on ecological evidence and computer
models.
The previous and
present models do project the possibility of a hiatus in
warming, most commonly because increased wind shear over tropical oceans can transfer more energy into the oceans especialy during the La Nina phase of the ENSO cycle.
First, there is significant divergence between reconstructed and actual temperatures since the mid-1980s, which, until valid reasons for this phenomenon have been found, can only question the ability of tree - ring data to robustly
model earlier periods that could have been similarly
warm (or
warmer) than the
present.
As the spring
warming over west Antarctica represents the only significant trend in the interior of Antarctica (excluding Peninsula) for 1979 -
present, it deserves consideration in studies that seek to understand and
model Antarctic climate change.
Although there is at
present no means by which to tell whether this particular storm was due to human induced global
warming, the devastation it has caused is consistent with the projections generated by climate change
models that suggest such storms will become more severe as the world
warms up.
However, the new, simple
model presented in the Science Bulletin predicts no more than 1 oC
warming instead — and possibly much less.
Outside of
models and in terms of empirical evidence they did
present a strong correlation between cumulative emissions and cumulative
warming.
It seems a major motivation for writing this paper was to
present a conceptual
model that can easily explain the «
warming hiatus» that has been one of the top talking points of skeptics for years now.
Our estimated sea levels have reached +5 to 10 m above the
present sea level during recent interglacial periods that were barely
warmer than the Holocene, whereas the ice sheet
model yields maxima at most approximately 1 m above the current sea level.
Models that would closely match present day (in this instance 1979 - 2017) trends would show reduced warming in the future, which would directly conflict with why models get f
Models that would closely match
present day (in this instance 1979 - 2017) trends would show reduced
warming in the future, which would directly conflict with why
models get f
models get funded.
What does your analysis tell us about the contribution of these natural factors to recent global
warming, and how that compare with the results from climate
models when they are run for natural forcings only to the
present day.
We give a closer and narrower range (above
present) because amplification of
warming over Greenland may be greater (26) than assumed (12, 25) because of more rapid sea - ice decline than
modeled (17).
The main comments included the suggestions to make the discussion of the CO2
warming models more quantitatively, to
present the differences between the
present paper and my earlier publications more clearly, and also particularly, to include a discussion on the 2011 Atmospheric Environment paper by Grooß and Müller, which criticized my work.
My quote referred to the assertion that there was an increasing discrepancy between observed global temperatures and
model simulated global temperature used for the global
warming predictions
presented in the IPCC report.
In our paper, we ask a different question of these ESMs, namely what is the cumulative CO2 emissions budget, from today onwards, compatible with levels of simulated
warming on top of the
model's
present warming?
Australian mean temperature change over the last century is best represented by a bilinear
model, with a period of relatively no change from 1910 through to 1950, followed by a period of relatively rapid
warming from 1950 to
present.
According to some
models this is enough to have caused all the
warming since 1750 to the
present.
In fact, despite a certain
warming trend is reproduced in the
model, which appears to agree with the observations, the
model simulation clearly fail in reproducing the cyclical dynamics of the climate that
presents an evident quasi 60 - year cycle with peaks around 1880, 1940 and 2000.