Second,
model comparison results demonstrated that linking perceived relationship closeness and support - seeking at the relationship - general level did not account for sufficient variability in both constructs.
Not exact matches
The lower levels of baseline sugar sweetened drink consumption in the UK compared with the US may in part explain why the effect on obesity that we estimate in the UK is much less than that estimated in the US.12 The differences with respect to other
modelling studies may also be partly explained by their use of higher own price elasticity values for sugar sweetened drinks than we have calculated and used here.18 22 52 We can not make direct
comparisons between the
results of our study and the
results of recent studies of the effect of reducing sugar sweetened drink consumption on body weight in children, 5 7 as the relation between energy balance and change in body mass index in children who are growing is different from that in adults.
However, a
model which included them was also fitted, with
results given alongside the main findings for
comparison.
As a
result, the range of possibilities with 95 % probability of happening has widened somewhat by
comparison with my previous forecasting
models.
The
resulting kinetic energy data of the 4D
model fits well with observed measurements, in
comparison with previous
models (shown with the purple and green symbols) without special assumptions.
A
comparison with experimental
results validates the
model adopted.
A
comparison of
results obtained with both methods shows that a simple two - dimensional linear - elasticity
model is able to reproduce quantitatively the low - frequency part of the band structure obtained from computationally much more demanding molecular dynamics simulations of a three - dimensional atomistic
model.
Plenary Presentations Jessica Mester — «
Comparison of Genetic Counselor Time Investment Utilizing Coupled and Uncoupled Practice
Models: Final
Results from the Cleveland Clinic General Genetics Clinic Time Study» — Best Abstract Award Recipient
Nijssen, B., et al., 2003: Simulation of high latitude hydrological processes in the Torne - Kalix basin: PILPS Phase 2 (e) 2:
Comparison of
model results with observations.
Comparison of
model results with the «known population» of radio - collared snow leopards suggested high accuracy in our estimates.
The
comparison between
model results and robotic fish undulations was subsequently performed to validate the ability of the robotic fish to reproduce carangiform swimming.
The second area of scrutiny involves
comparison with
results from
modeling efforts.
These
results are based on data compiled from 15 different climate
models, and use the average temperature from 1970 through 1999 as a baseline for
comparison.
Models in this category are those that had positive and statistically significant results from comparison or third - party comparison studies but did not have research bases that were as broad and generalizable as those of the models that met the highest sta
Models in this category are those that had positive and statistically significant
results from
comparison or third - party
comparison studies but did not have research bases that were as broad and generalizable as those of the
models that met the highest sta
models that met the highest standard.
In these
models, the effects of pay for performance are shown to be even larger than the
results based on
comparisons across continents.
There's a dramatic
comparison between these
results with those from the 1995
model year, when the Institute began evaluating head restraints.
There may be no connection whatsoever, but it is worth me checking it out in case the rock structure, its composition, density, and the
results of its heating, as it fell through the earth's atmosphere, can give me a
comparison or
model for my moon rock - or even scorched microbes.
The
results of the previous correlation exploration helped us to identify which features to include in our
model and through a
comparison of many different
models, we identified the one which best predicted rent from the presence of features.
Instead, he knows that others have latched onto these presentations (for example, Monckton's outpourings), promoting the notion that the
result proves the
models don't follow changes in the real world, while ignoring the caveats usually attached to such
comparisons.
First, scenario A did not come to pass, therefore
comparisons of scenario A
model results to real observations is fundamentally incorrect — regardless of how likely anyone though it was in 1988.
Unambiguous detection of climate change is likely to be a painfully slow process, involving much more detailed
comparison of climate
model results with observations.4 There is no climatic counterpart to the Antarctic ozone hole.
Asside from the arguments over who is being dishonest about the testimony... didn't scenario B turn out to be closer to what actually happened RE said boundary conditions and so should not that be the proper
comparison result (over time) for the Hansen
model at this time?
A straightforward
comparison of the adoption and emissions
results with other sources is not possible, due to the specificities of the feedstock considered herein, since all other global energy system
models consider aggregate numbers for biomass and waste.
The unfiltered
model may be extrapolated to see where it would lead but filtering the
model results is meaningful only for the purpose of
comparison with filtered observations over an identical period.
This work is the first to consistently recreate the event by computer
modeling, and the first time that the
model results have been confirmed by
comparison to the climate record, which includes such things as ice core and tree ring data.
The third phenological
model produces opposite
results, but the
comparison between simulated budburst dates and observed records over the last 60 years suggests its lower reliability.
However, BartH gave some examples in this discussion however that these sorts of projections can still be useful and also examples where higher resolution and / or RCM's in
comparison with GCM's
resulted in increased
model skill.
The second area of scrutiny involves
comparison with
results from
modeling efforts.
Neely (2013 http://onlinelibrary.wiley.com/doi/10.1002/grl.50263/abstract): «
Comparison of the
model results to observations reveals that moderate volcanic eruptions, rather than anthropogenic influences, are the primary source of the observed increases in stratospheric aerosol.»
These new sea ice proxy records are needed (1) to fully prove the scenarios of a succession from an extended ice shelf to polynya / open - water conditions (cf., Fig. 6), (2) to reconstruct in more detail the changes in sea ice cover for early, middle and late LIG intervals characterized by very different external forcings and related internal feedback mechanisms, and (3) to allow a more fundamental proxy data /
modeling comparison that
results in
model improvements and better reproduction of the LIG climatic evolution and prediction of future climatic scenarios20, 21,22,23, 64.
For
comparison, each of the light blue lines corresponds to the simulation
results from one of the «CMIP3» climate
models, which were carried out for the 4th Assessment Report.
Well, for aerosols I took my
comparison from Miller et al (2014)[iii] where it states in relation to the basic, non-interactive, NINT
model version: «Koch et al. [2011] similarly found that NINT aerosols in the year 2000
result in TOA direct forcing of 0.40 W / m2 when using the double - call method (compared to our value of 0.00 W / m2 based upon the 1850 climate).»
For better
comparisons between various studies as well as easier communication of
model results, it is preferable to use a common set of scenarios across the scientific community.
This diagram from the paper shows the
comparison between what climate
models typically simulate (the grey bands) and the
results of their new simulation (the orange band).
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.
As a
result of limited satellite observations of sea ice thickness (for more information: Sea Ice Thickness Data Sets: Overview and
Comparison), few climate
modeling experiments have isolated the role of changing sea ice thickness.
A sensitivity analysis of valuation to a range of prices would be welcome — or at least, disclosure of their long - term price assumptions along with
comparison to
modelled 2 °C prices and the valuation
results.
In this case, the
models and observations have been plotted so that their respective 1979 - 2012 trend lines all intersect in 1979, which we believe is the most meaningful way to simultaneously plot the
models»
results for
comparison to the observations.
Demonstrating that 15 - year trend
comparisons can yield inconsistent
results does not remotely settle the statistical question of
models running too hot that is evident in the opening graph.
This is a shame because in Harries 2001 directly below this graph is data analysis of the calculated difference between the IMG and IRIS satellite data as well as a
comparison with
modelled results.
As a
result the most those papers can do is attempt to quantify the effects on measurements such as
model TCR and
model trends using air temperatures for land and ocean and
comparisons with the observed using blended temperatures.
Thus, our simple transparent calculation may provide a useful
comparison with geological data for sea - level change and with
results of ice sheet
models.
More elaborate and accurate approaches, including use of
models, will surely be devised, but
comparison of our
result with other approaches is instructive regarding basic issues such as the vulnerability of today's ice sheets to near - term global warming and the magnitude of hysteresis effects in ice sheet growth and decay.
Our data are available in the electronic supplementary material, allowing
comparison with other data and
model results.
In all, 73 climate
models from the Coupled
Model Intercomparison Project are plotted against observations so that their respective 1979 - 2012 trend lines all intersect in 1979, which we believe is the most meaningful way to simultaneously plot the
models»
results for
comparison to the observations.»
I get frustrated by studies that give only hazy reference (for this layperson) to problems but fortress their contentions on the
comparison of the observed
results with
modelled results.
The Postdoc will be responsible for preparing long - term lidar and radar measurements for use with a newly developed ground - based lidar - radar simulator for ModelE3, running ModelE3 baseline and sensitivity test simulations, preparing
comparisons of aerosol and meteorological conditions with existing reanalysis and satellite data sets, and contributing to
model improvement efforts that will be guided by project
results.
Results from an upcoming
comparison of global
models may show how well the new entrant works.
Indeed it has been shown in a
comparison of
results from the simple
model and HadCM2 that the simple
model under - estimates the temperature change compared to HadCM2 on longer time - scales (Raper et al., 2001a).
Figure 9.20:
Comparison of CMIP2
model results for 20 - year average values centred on year 70, the time of CO2 doubling.