If each embodies
a correct model of the climate, and each has a different climate sensitivity, only one (at most) should replicate observed data.
Not exact matches
If
models of Southwestern responses to
climate change are
correct, Southwest U.S. deserts should get warmer and drier.
When they
corrected the error, Wentz and Schabel derived a warming trend
of about 0.07 °C per decade, more in line with surface thermometers and
climate models.
A Columbia Engineering team led by Pierre Gentine, professor
of earth and environmental engineering, and Adam Sobel, professor
of applied physics and applied mathematics and
of earth and environmental sciences, has developed a new approach, opposite to
climate models, to
correct climate model inaccuracies using a high - resolution atmospheric
model that more precisely resolves clouds and convection (precipitation) and parameterizes the feedback between convection and atmospheric circulation.
«When the processes are
correct in the
climate models the level
of climate sensitivity is far higher.
Next, scientists will work on
correcting the representation
of tropical cloud depth in global
climate models to better project future
climate change.
Methods: Researchers Drs. Samson M. Hagos and L. Ruby Leung, atmospheric scientists at PNNL, surveyed tropical divergence in three global
climate models, three global reanalyses (
models corrected with observational data), and four sets
of field campaign soundings.
The Soon - Monckton memo goes even further, claiming that they «have recently discovered and
corrected a long - standing error
of physics in the
climate models» that would shows any
climate change due to human causes will be «too small and slow to be harmful and will prove beneficial.»
Ricke and Caldeira sought to
correct that by combining the results from two large
modeling studies one about the way carbon emissions interact with the global carbon cycle and one about the effect
of carbon on the Earth's
climate used by the Intergovernmental Panel on Climate
climate used by the Intergovernmental Panel on
Climate Climate Change.
RC press rebuttals should be syndicated in every news outlet out there,
correct interpretations
of climate science is regularly mangled, to the point where I get Arctic visitors, some journalists, who regularly quote bad science from misleading news sources, newspaper stories are considered like science journals, peer reviewed quoted news stories especially, namely that 10 year cooling German
model forecast.
If you set out to
model the
climate of any
of those moons, you would need to get their movement with respect to the sun nearly
correct, and motion around the solar system barycentre would be part
of that.
Models are compared primarily to the current climatology and all
of the adjusting goes into getting the mean
climate / seasonal cycle etc.
correct.
«In other words, the projections shown here were made before the observations confirmed them as being
correct, striking at the heart
of the argument that modellers tune their
models to yield the
correct climate change results.»
With due regard for complexities
of the issue, if my understanding
of these terms is basically
correct, then I have a problem in that while these two elements must be integrated to produce
climate truth, it's not clear to me how, without a validated
model in the first place, all the proper data can be gathered.
Frightening thought — if and only if the AGW centric prediction
of future
climate is either not completely
correct, or out right wrong, consider extreme scenarios which would result in a drastically (and painfully) different outcome than the prophecied sea level rise / climatic tropical expansion / northerly movement
of species
model.
It's useful to think
of this as an example
of Bayesian priors in action — given that 99 %
of the criticisms we hear about
climate science are bogus or based on deep confusions about what
modeling is for, scepticism is an appropriate first response, but because we are actually scientists, not shills, we are happy to
correct real errors — sometimes they will matter, and sometimes they won't.
There's no way out
of it: if the greenhouse gas theory were
correct and the
climate models were really
modelling the «real
climate» then the high latitudes would be warming the fastest.
It also proves that Howard Hayden, physics professor emeritus at the University
of Connecticut, was
correct in describing the machinery
of the
climate model - hysteria industrial complex as one that takes «garbage in» and spits «gospel out.»
If our analysis is
correct, then this indicates that
climate models underestimate the weakening
of the Atlantic circulation in response to global warming — probably because the flow in these
models is too stable (see Hofmann and Rahmstorf 2009).
Broadly speaking, we know that it is unlikely that current
climate models are systematically overestimating sensitivity to CO2 by very much, since most
of the major
models can get into the ballpark
of the
correct tropical and Southern Hemisphere cooling when CO2 is dropped to 180 parts per milllion.
That said, human - induced
climate changes there, and elsewhere, will, over the coming decades, reach the amplitude
of known past and natural persistent variations, if the
models are
correct.
Scafetta and West's 2006 paper noted that if their conclusions are
correct, then the climatic effects
of solar variance are currently under estimated in the
climate models.
Not only is the true picture closest to Y0, the midrange estimate, and the one the representative
of climate science presented as likeliest, but the data follows the
model prediction if Y0 is
correct very closely.
However, in my paper I have argued that if the long term
of the solar variability falls down and the Moberg temperature data are
correct, the actual
models are very wrong because they will never be able to reproduce the millenaria cycle presented in the Moberg data without a strong
climate sensitivity to solar cicle.
At least with a
model like the MIT one used in Forest 2006 one can (if the descriptions
of it are
correct) set the key
climate sensitivity, effective ocean diffusivity and aerosol forcing levels independently and with some confidence (I'm not the person to ask how much) that the simulated results reflect those settings.
In a recent interview, Nordhaus - whose
models project a smaller economic impact than most - said that regardless
of whether the
models showing larger or smaller economic impacts from
climate change are
correct, «We've got to get together as a community
of nations and impose restraints on greenhouse gas emissions and raise carbon prices.
The relevance
of any such
model to the real
climate depends on whether or not the assumptions on which it is based are more - or-less
correct.
In any case, if I'm
correct, then the apparent failure
of Hansen's prediction was not to foresee the industrialization
of the 3rd world nations and its ramifications, and not some more basic problem with his
climate model.
And, in case it slipped your notice, NONE
of the
climate models have been
correct in their predictions
of 21st century temperature trends.
However, our new statistical estimate
of unforced variability is not radically different from that simulated by
climate models and for the most part we find that
climate models seem to get the «big picture»
correct.
For this honest doubt and skepticism that the highly complex global
climate models are
correct you have the temerity to socially stigmatize them in a scientific journal with a catch - all term that implies that they are as morally reprehensible as those that «deny» that the Nazi Holocaust
of genocide against the Jews?
But
climate models of global warming should be
corrected to better account for changes in solar activity, according to Nicola Scafetta and Bruce West
of Duke University.
Correcting climate models to better reflect advances in knowledge about various forcings, such as solar variation and the impact
of aerosols, is suspect, and / or
Some 35 years ago, Hansen developed one
of the world's first
climate models and produced prediction after prediction about rising global warming that proved to be
correct.
Hansen, 74, developed one
of the world's first
climate models 35 years ago and has produced prediction after prediction about rising global warming that proved to be
correct.
Even if CO2 mitigation strategies are successful and
climate model projections are
correct, an impact on the
climate would not be expected until the latter part
of the 21st century.
Climate prediction
models share one thing in common with them: even if they could be right, their creators will not want to believe them if predicted results do not correspond to politically
correct preconceived notions
of the establishment about how they should be...
Are the
models capable
of giving us a
correct answer in a probabilistic sense about the attribution
of 20th century
climate change, or sensitivity to CO2 doubling?
And
climate models are not evidence
of anything but the beliefs (both
correct and incorrect)
of the programmers.
In terms
of climate models, «
correct» is not possible even in theory, you will only ever be looking for the best approximation possible.
Climate data or
model projections in which we have «very high confidence» have at least a 9 out
of 10 chance
of being
correct.
As we learn further down this is based on a yet another study by parti - pris alarmists ramping up the
climate change scare narrative using dodgy computer
modeled projections
of what might happen if all their parameters are
correct (which they aren't).
In terms
of your request for something substantial, I responded to your original claim that «the theory relies on computer
models» with a link to a RealClimate post that shows this claim is not
correct — rather than computer
models, the foundations
of the scientific consensus on anthropogenic
climate change are built upon our understanding
of how the atmosphere works and how we are changing it by emitting greenhouse gases.
Some apparent problems with the predictions
of climate models, for example, have actually turned out to be due to problems with real - world data caused by the failure to
correct for factors such as the gradual changes in orbits
of satellites.
Her study accounted for propagation
of organized storms, and also included
correct daily precipitation cycles across the U.S., neither
of which are accurately represented in current
climate models.
So it is
correct that CO2 did not trigger the warmings, but it definitely contributed to them — and according to
climate theory and
model experiments, greenhouse gas forcing was the dominant factor in the magnitude
of the ultimate change.
The raw daily
climate model simulation results were bias
corrected according to the ISI - MIP protocol (1, 23), despite known caveats with respect to the use
of bias correction in
climate impact studies (24).
Along with the
corrected value
of F2xCO2 being higher than the one used in the paper, and the
correct comparison being with the
model's effective
climate sensitivity
of ~ 2.0 C, this results in a higher estimate
of equilibrium efficacy from Historical total forcing.
I certainly agree that there are many variables impacting the
climate and that all
of these and the
correct weighting
of each must be taken into consideration in order for a
model to effectively predict future
climate.
This study analyzed potential hydroclimatic change in the Peace River basin in the province
of British Columbia, Canada, based on two structurally different approaches: (i) statistically downscaled global
climate models (GCMs) using the bias - corrected spatial disaggregation (BCSD) and (ii) dynamically downscaled GCM with the Canadian Regional Climate Model
climate models (GCMs) using the bias -
corrected spatial disaggregation (BCSD) and (ii) dynamically downscaled GCM with the Canadian Regional
Climate Model
Climate Model (CRCM).