The first row indicates the climate variables used for the analysis which are the same as those in Fig. 1, and the left column shows the climate
model ensembles with number of ensemble members in parenthesis.
The SAT trend can be calculated only for
the model ensembles with historical simulations.
When Roger says «the output of these models are routinely being provided to the impact communities and policymakers as robust scientific results»... I don't think he means the large
model ensembles with their included uncertainty.
Not exact matches
Most of the
models strutted in
ensembles adorned
with 3 - D printed components or featuring 3 - D printed accessories.
About Louise Roe: «Plain Jane» host Louise Roe is anything but; the fashion journalist,
model and style maven always stands out
with her polished
ensembles and carefully - selected accessories.
Using a hierarchical
model, the authors combine information from these various sources to obtain an
ensemble estimate of current and future climate along
with an associated measure of uncertainty.
The trouble
with ensemble models is the data they contain tend to be too similar.
In a unique study set - up, the scientists first compared simulation results from a large
ensemble of wheat crop growth
models with experimental data, including artificial heating experiments and multi-locational field trials.
From at least Lorius et al (1991)-- when we first had reasonable estimates of the greenhouse gases from the ice cores, to an upcoming paper by Schneider von Deimling et al, where they test a multi-model
ensemble (1000 members) against LGM data to conclude that
models with sensitivities greater than about 4.3 ºC can't match the data.
An adequately - large
ensemble of
model runs would provide a distribution of possible severities of an extreme event in control runs and those forced
with prescribed carbon emissions.
To understand the role of human - induced climate change in these new records they compare simulations of the Earth's climate from nine different state - of - the - art climate
models and the very large
ensemble of climate simulations provided by CPDN volunteers for the weather@home ANZ experiments for the world
with and without human - induced climate change.
Even better to do it
with perturbed physics
ensembles from several different
models.
Methods: In these experiments, the research team conducted large
ensembles of simulations
with two state - of - the - art atmospheric general circulation
models by abruptly switching the sea - surface temperature warming on from January 1st to focus on the wintertime circulation adjustment.
Caldwell regarded a proposed emergent constraint as not credible if it lacks an identifiable physical mechanism; is not robust to change of
model ensemble; or if its correlation
with ECS is not due to its proposed physical mechanism.
«We use a massive
ensemble of the Bern2.5 D climate
model of intermediate complexity, driven by bottom - up estimates of historic radiative forcing F, and constrained by a set of observations of the surface warming T since 1850 and heat uptake Q since the 1950s... Between 1850 and 2010, the climate system accumulated a total net forcing energy of 140 x 1022 J
with a 5 - 95 % uncertainty range of 95 - 197 x 1022 J, corresponding to an average net radiative forcing of roughly 0.54 (0.36 - 0.76) Wm - 2.»
Diego del Alamo passed his qualifying exam in the CPB program
with his proposal «
Modelling structural
ensembles of LeuT-fold transporters».
The
model - turned - actress chooses a bold
ensemble for the Vogue and Tory Burch event in Beverly Hills: a head - to - toe metallic printed sheath cinched
with a geo belt.
After rocking a «90s - inspired dark
ensemble for date night
with her new beau Zayn Malik Sunday in Los Angeles, the
model zipped into London's Heathrow Airport Monday in an outfit that while undeniably cozy, is also endlessly chic.
The
model offset her airy
ensemble with a black snakeskin purse (shop a similar look here).
The
model donned an all - black
ensemble, featuring black jean shorts over fishnet tights and a high - neck bodysuit worn under a hooded bomber
with red embroidered details.
These are great for work and for dressing down, like this
model is wearing above, you can easily swap out your work
ensemble with a pair of casual jeans and some cute sandals.
The actress and fashion
model wore a very feminine and ladylike
ensemble consisting of a moss green lace top that went perfectly well
with her Dolce & Gabbana floral skirt.
I can't go out in my all stretch, practically pajama
ensemble with you looking like a catalog
model!
So while Manish's show saw bird installations and gentle chirping as the background score setting pace for a gorgeous collection of
ensembles raging from capes to jumpsuits to skirts and elaborate lehengas, we saw Dhruv Kapoor showcasing his resort wear by the poolside
with models sashaying around in boxy dresses, crop tops, cold shoulders and obi belts.
Roland Emmerich's Godzilla follows the ID4
model with an
ensemble of characters who will become relevant to Godzilla.
In the smaller New Hermitage, Louise Bourgeois's encaged
model of the Institute of Fine Arts at New York University and eight engravings from the series The Puritan form a handsome
ensemble with Giovanni Battista Piranesi's etchings from the Hermitage collection.
The selection and the unprecedented presentation of these works have been achieved by closely collaborating
with the artist and choosing from the Fondation's important collection of his works, including: Les Grands
Ensembles (1994 - 2001); L'Expe ́dition Scintillante Acte II (2002); Streamside Day (2003); Mediation Hall, The Land,
Model (2003 - 2008); I do not own 4» 33» (2006); The Host and the Cloud (2009 - 2010); Untilled (Liegender Frauenakt)(2012); A Way in Untilled (2012); Untitled (Human Mask)(2014); Cambrian Explosion 9 (2014).
And fabulous
ensemble acts like the spatial riddle that is Helmut Newton's 1981 «Self - Portrait
with Wife and
Models, Vogue Studio, Paris.»
Racquel Reclining Wearing Purple Jumpsuit # 1 (2014), for example, is akin to a fashion advertisement, as the
model —
with her incredibly glamorous
ensemble and afro — seductively leans back onto a couch.
«As of fall 2010, all freshmen at Meadows are introduced to alternative
models of artistic practice — which includes everything from our own programs in music therapy and our interdisciplinary
ensemble, Point, to our community artist partnerships
with Big Thought — AND to the basics of how the various arts businesses, both nonprofit and for - profit, work.
Neither is there reason to shift the range — most
models (including large
ensembles with systematic variation of uncertain paramaters) give values smack in the middle of the traditional range, near 3 ºC.
No, that is not correct, both papers seek to determine whether the observational data are consistent
with the
models, however Douglass et al use a statistical test that actually answers a different question, namely «is there a statistically significant difference between the mean trend of the
ensemble and the observed trend».
p.s. To compare to Vahrenholt's forecast, here's a comparison of earlier
model projections of global temperature for the IPCC (prediction
with the CMIP3
model ensemble used in the 4th IPCC assessment report, published in 2007)
with the actual changes in temperature (the four colored curves).
The
model weather is the part of the solution (usually high frequency and small scale) that is uncorrelated
with another simulation in the same
ensemble.
One can temper that
with studies of paleoclimate sensitivity, but the
ensemble results still should be borne in mind, since doubling CO2 takes us into a climate that has no real precendent in the part of the climate record which has been used for exploring
model sensitivity, and in many regards may not have any real precedent in the entire history of the planet (in terms of initial condition and rapidity of GHG increase).
A comparison of observed sea ice decline
with the
model ensemble spread can tell us only how likely an observed trend is relative to that
ensemble.
Although a useful process to see which
models should have more weight, and which ones should be discarded all together, the average that the
ensemble produces will automatically have a higher correlation
with observation data simply because of how far a set of numbers are spread out from each other.
We then perturb this input
with the change in the seasonal mean SSTs and the seasonal mean state of the atmosphere as projected by an
ensemble mean of global
models for the end of the 21st century.
[Response: I wasn't trying to suggest that tacit knowledge was some kind of opinion that all scientists must agree
with, but rather it is the shared background that, say, everyone using climate
models has — i.e. why we use initial condition
ensembles, how we decide that a change in the code is significant, what data comparisons are appropriate etc..
Global climate
model projections (in CMIP3 at least) appear to underestimate sea ice extent losses
with respect to observations, though this is not universally true for all
models and some of them actually have
ensemble spreads that are compatible
with PIOMAS ice volume estimates and satellite observations of sea ice extent.
What deniers want to do is skip all that, misrepresent the
models by claiming they predict steady warming (conflate multi-
model ensemble means
with individual
model runs), and conclude the physics is wrong and CO2 causes less warming.
[Response: There are a couple of issues here — first, the number of
ensemble members for each
model is not the same and since each additional
ensemble member is not independent (they have basically the same climatological mean), you have to be very careful
with estimating true degrees of freedom.
He claims that this can be corrected for, but he still isn't using the proper null — in M&N they show the results from the
ensemble means (of the GISS
model and the full AR4
model set), but seem to be completely ignorant of the fact that
ensemble mean results remove the spatial variations associated
with internal variability which should be the exact thing you would use!
I did so, and in so doing pointed out a number of problems in the M&N paper (comparing the
ensemble mean of the GCM simulations
with a single realisation from the real world, and ignoring the fact that the single GCM realisations showed very similar levels of «contamination», misunderstandings of the relationships between
model versions, continued use of a flawed experimental design etc.).
Figure 5 Comparison of the three measured data sets shown at the outset
with earlier IPCC projections from the first (FAR), 2nd (SAR) 3rd (TAR) and 4th (AR4) IPCC report, as well as
with the CMIP3
model ensemble.
For Figure 1, global mean temperatures are plotted from the HadCRUT4 and GISTEMP products relative to a 1900 - 1940 baseline, together
with global mean temperatures from 81 available simulations in the CMIP5 archive, also relative to the 1900 - 1940 baseline, where all available
ensemble members are taken for each
model.
My understanding is that GCMs are run several times
with known forcings (as far as we can determine them) but random natural variability (e.g. ENSO), so the end result is an «
ensemble» of
model runs characterised by mean, standard deviation etc. rather than following precisely the year - to - year variations of global temperature.
There is one
model that has two out of three showing significant weakening, and two that show one out of two members
with weakening, but I'm not sure how much credence to put on such small
ensembles.
With «mean climate», surely the
model ensemble mean is meant, however the «real data» to base the tuning on by definition is restricted to the single realisation of Earth's climate (including cloud cover caused by, for instance, multi-decadal oscillations instead of AGW feedback).
1) Attempts to constrain ECS
with shortwave cloud feedback alone (e.g. Sherwood et al. 2014) miss the possibility that real - world longwave feedbacks could lie outside that spanned by the
model ensemble (the infamous unknown unknowns).