This post will show that
hindcasts of historically recent global air temperature trends also have no physical meaning.
This late - 1970s reversal in sea ice trends was not captured by
the hindcasts of the recent CMIP5 climate models used for the latest IPCC reports, which suggests that current climate models are still quite poor at modelling past sea ice trends.»
In An Initial Look At
The Hindcasts Of The NCAR CCSM4 Coupled Climate Model Bob Tisdale explores hindcasts vs observations:
With respect to confidence in the future based on
hindcasts of the past, I would only say that even with The Perfect Model (tm) the hindcasts can only be as good as the data they are given.
The lack of any actual survey, let alone comparison of Callendar's model out of sample with
hindcasts of more recent GCMs, as Steve has done, means we owe Nick our gratitude for highlighting the inadequacies of AR4 WG1 in this area.
As noted above, most earlier
hindcasts of 20th century climate as well as current IPCC AR4 runs [Miller et al., 2006; Knutson et al., 2006] do not reproduce the observed trends over recent decades in the AO component of the circulation, and thus do not capture the intensification of warming trends that has been observed over Northern Europe and Asia.
Your statement that «Thus it is natural to look at the real world and see whether there is evidence that it behaves in the same way (and it appears to, since model
hindcasts of past changes match observations very well)» seems to indicate that you think there will be no changes in ocean circulation or land use trends, nor any subsequent changes in cloud responses thereto or other atmospheric circulation.
[Response: First off, he is confusing models that include the carbon cycle with those that have been used in
hindcasts of the 20th Century and are the basis of the detection and attribution of current climate change.
Thus it is natural to look at the real world and see whether there is evidence that it behaves in the same way (and it appears to, since model
hindcasts of past changes match observations very well).
Your statement that «Thus it is natural to look at the real world and see whether there is evidence that it behaves in the same way (and it appears to, since model
hindcasts of past changes match observations very well)» seems to indicate that you think there will be no changes in ocean circulation or land use trends, nor any subsequent changes in cloud responses thereto or other atmospheric circulation.
31, Alan Millar:
The hindcast of the models, against the temperature record from 1900 to 2000, is indeed very impressive.
Surely
the hindcast of the models should show periods of time where the climate signal is moving away, up and down, from the climate and weather signal?
I'm not really that familiar with the efforts that have been made to validate
the hindcast of global climate models, BUT if they are skillful with respect to the number of degrees of freedom they use and predict, then they are skillful.
Ding, Hui, Richard J. Greatbatch, Mojib Latif, Wonsun Park, Rüdiger Gerdes, 2013:
Hindcast of the 1976/77 and 1998/99 climate shifts in the pacific.
Another, more interesting, reason is that it can help invalidate models (or give them at best some limited validity) by letting them run for
hindcast of the actual situation.
In fact, my model is
a hindcast of the data, not a simple fitting of the data.
It is assumed that a successful
hindcast of temperature changes over the 20th century increases our confidence in projections of future warming.
Where CO2 is relevant is in explaining much of growth in crop yields — I have just done a test using a quadratic function on CO2, temperature, and rainfall which produces an amazingly accurate
hindcast of wheat yields in Moree NSW 1965 - 1999 using just those 3 variables.
Not exact matches
«This study takes advantage
of more than 25 years
of observations and detailed model
hindcasts to comprehensively demonstrate that these early predictions were right.»
However, marine scientists, under the auspices
of the GEOMAR Helmholtz Centre for Ocean Research Kiel, recently managed to successfully
hindcast climate shifts in the Pacific.
No - one is claiming that «prediction»
of the cooling counts as a major success for the models, since it was
hindcast, not predicted.
Some studies have attempted to estimate the statistical relationship between temperature and global sea level seen in the period for which tide gauge records exist (the last 2 - 3 centuries) and then, using geological reconstructions
of past temperature changes, extrapolate backward («
hindcast») past sea - level changes.
I understand the argument that past projections are based on estimated future forcings which can change, but this amounts to the same things as tuning
hindcasts and declaring matching a
hindcast to observations as a validation
of your model.
The fact that the
hindcasts with their method perform worse than a standard IPCC scenario, the number
of failed previous cooling predictions, the negative skill in the Gulf Stream and deep - water formation regions... should these not have cautioned them against going to the media to forecast a pause in global warming?
All the GCMS do a decent job
of the
hindcast, yet diverge in the forecast.
While I grant you that the large gap in the late 90s is
of huge concern, isn't that same concern warranted with the large continuous gap from actual in the IPCC
hindcast from 1965 to 1985?
Part
of the uncertainty in the attribution is
of course how realistic the «noise» in the models is — and that can be assessed by looking at
hindcasts, paleo - climate etc..
Of course you should have posted the models hindcasts for the whole of the 20th century and then you would see the excellent short to medium term correlation between model output ant global temperature recor
Of course you should have posted the models
hindcasts for the whole
of the 20th century and then you would see the excellent short to medium term correlation between model output ant global temperature recor
of the 20th century and then you would see the excellent short to medium term correlation between model output ant global temperature record.
I should point out that in the ClimatePrediction models used, the first two
of their three phases were
hindcast, control phases using pre-industrial CO2 levels.
This is
of course one big reason why climate science has focussed on this particular metric — because the models can do a reliable and credible (validated through
hindcasting recent and paleo climates) job at it!
Decadal
hindcast simulations
of Arctic Ocean sea ice thickness made by a modern dynamic - thermodynamic sea ice model and forced independently by both the ERA - 40 and NCEP / NCAR reanalysis data sets are compared for the first time.
What we really want is to see some simple comparison
of temperature data since 1988 with projections circa 1988 beyond 2010 and
hindcasts from 1988 with current (2010) understanding beyond 2010.
Both previous
hindcasts showing cooling
of the model were wrong.
That is, they added in an a trend
of 4 degrees / 41 years = 0.0975 deg / year, comparable to the 0.093 deg / year seen in the
hindcast.
Nobody has figured out a useful model with the correct formulas, its a huge challenge, might be impossible, so
hindcasting is never going to even get to a useful stage at current state
of knowledge.
This can involve «perfect model» experiments (where you test to see whether you can predict the evolution
of a model simulation given only what we know about the real world), or
hindcasts (as used by K08), and only where there is demonstrated skill is there any point in making a prediction for the real world.
The performance
of models using a climate sensitivity range
of from 1.0 to 5.0 is essentially equal in
hindcasting.
[Response: I don't recall having made any such statement, but regardless, the proof
of the pudding is in the
hindcasting.
Gavin: are you truly satisfied with the quality
of the model results (especially
hindcast)?
In either case, LES can also be driven by weather
hindcasts, and the simulation results can be evaluated against the wealth
of observations that are now available, observations both from space and from the ground.
In the end, one need not know with a high degree
of accuracy the intricacies
of the climate's variability to show an increased warming trend: 3 Furthermore, there are no models that exist that are able to match recent observed warming without taking rising CO2 levels into account, i.e. if radiative forcings from CO2 aren't taken into account, then models don't match
hindcasting.
This
hindcast uses two time - varying inputs: 10 - meter wind vectors from the atmospheric model NAVGEM (Navy Global Environmental Model, Hogan et al. 2014) run at the Fleet Numerical Meteorology and Oceanography Center (FNMOC), and analyses
of ice concentrations (also produced at FNMOC) from passive microwave radiometer data (SSM / I).
It is the average long - wave cloud forcing error derived from comparing against observations, 20 years
of hindcasts made by 26 CMIP5 models.
The last is essentially circular reasoning, which has demonstrated no skill to
hindcast and can not predict future states beyond a limited frame
of reference (i.e. scientific domain).
Adding the actual data over those 10 years to readjust the model led to a new prediction
of 1.9 C which again correctly
hindcasts to known results.
Climate model simulations confirm that an Ice Age can indeed be started in this way, while simple conceptual models have been used to successfully «
hindcast» the onset
of past glaciations based on the orbital changes.
Using new data from CryoSat - 2 validated with in situ data, they generate estimates
of ice volume for the winters
of 2010/11 and 2011/12 and compare these data with current estimates from the University
of Washington team
of sea ice
hindcasts (PIOMAS) and earlier (2003 — 8) estimates from the ICESat mission.
As I have noted from time to time, these interactions are frequently used to tune
hindcasts so that a better representation
of the past response
of the Earth's climate systems is obtained.
In a cross-validation
hindcast, the model (PHENOM) is able to explain 63 %
of the variance in onset date for grid cells containing at least 50 % mixed and boreal forest.
Is this a case where some
of the natural oscillations are (were) not emergent in the modeling results... even in a
hindcast situation?