As noted in the «methods» section, an argument could be made for including unplanned home births in the analysis, so as
a sensitivity analysis the modelling was repeated, including them.
Not exact matches
7 - stage image
analysis enables this
model to perform high -
sensitivity detection of the widest range of foreign matter.
«We are currently working on parameter
sensitivity analysis and Bayesian calibration of this new
model and also on a high resolution regional simulation over the U.S. Corn Belt, all of which would not be possible without the precious computational resources provided by Blue Waters.»
The study provides
sensitivity analyses of key
model assumptions and starting data uncertainty, indicating that the UN projections may have too small a range of uncertainty.
While the study conducts a
sensitivity analysis that includes one scenario with higher levels of production subsidies, the fact that the
model's outputs seem to barely register a tripling of production subsidies raises some questions, especially in light of the findings of the other recent U.S. study led by the Stockholm Environment Institute and EarthTrack described above.
Advances in
sensitivity and resolution as well as developments in
modelling and
analysis led to milestones in the experimental studies of chemical bonds using AFM.
The initial results established that the
model accurately represented the historic movement of the saltwater front, while
sensitivity analyses identified how various factors contributed to the -LSB-...]
Rather, their
analysis shows that if you compare the LGM land cooling with the
model land cooling, then the
model that fits the land best has much higher GLOBAL climate
sensitivity than you get for best fit if you use ocean data.
Wigley et al. (2005b) demonstrate that the
analysis method of Douglass and Knox (2005) severely underestimates (by a factor of three) climate
sensitivity if applied to a
model with known
sensitivity.
The
analysis in Crucifix (2006) indicates that there is not a good correlation between
sensitivity on the LGM side and
sensitivity to 2XCO2 in the selection of
models he looked at.
We present results from crude
models,
models adjusted for relevant variables including age, sex, blood pressure, BMI, and adherence to diet (percent of missed meals), and
sensitivity analyses further adjusting for time varying changes in BMI and systolic blood pressure.
To explore the possibility that frailty (which is associated with both low cholesterol and death28 29) could confound these results, we did a
sensitivity analysis adjusting our Cox
models (table 4 ⇑) for two known markers of frailty (changes in body weight and changes in systolic blood pressure).28 29 30 These adjustments did not materially change the effect estimates, which remained significant in both groups.
Climate
model studies and empirical
analyses of paleoclimate data can provide estimates of the amplification of climate
sensitivity caused by slow feedbacks, excluding the singular mechanisms that caused the hyperthermal events.
Finally,
analysis of tumors from clinical trials and cell line
models will allow discovery of mechanisms of
sensitivity and resistance to AR and PI3K inhibitors, as well as biomarkers that can be used in the development of new treatment regimens and selection of patients for future trials.
Base case and
sensitivity analysis results in a Markov
model of effectiveness and cost effectiveness * of dark chocolate consumption according to compliance levels versus no dark chocolate consumption over 10 years in prehypertensive / hypertensive people with metabolic syndrome, free of cardiovascular disease and diagnosed diabetes.
Extensive
sensitivity analyses indicate that, while differences between
model frameworks and alternative parameter choices make a difference, the economic impact of improved educational outcomes remains enormous.
Matched - paired tests were used for the primary
analysis, and
sensitivity analyses included permutation tests and random - intercept growth curve
models.
Their research explored whether there was evidence of this kind of bias by conducting what researchers call a «
sensitivity analysis» to test whether the results from the L.A. Times
model were valid and reliable.
Portfolio managers will be able to walk sponsors through a dashboard of assets, liabilities, funded status and potential risk measures, as well as
model interest rate and portfolio
sensitivities and provide what - if scenario
analysis of portfolio changes.
Sensitivity analysis is used in financial
modeling to determine how one variable (the target variable) may be affected by changes in another variable (the input variable).
Insulin
sensitivity, insulin secretion, and glucose effectiveness in obese subjects: a minimal
model analysis
Climate.prediction.net is a nice way of generating candidate high
sensitivity models for more detailed
analysis.
Eg the Lea et al 2002 paper I referenced above has the title «
Sensitivity analysis of the climate of a chaotic ocean circulation
model».
Sensitivity analysis shows that future fire potential depends on many factors such as climate
model and emission scenario used for climate change projection.
They do the calculations in a somewhat different way, but it appears to be a sound
analysis, and I particularly like the thorough testing of the
sensitivity to the various parameters used in the statistical
model.
A new large uncertainty
analysis that appeared this week in Nature shows that it is very difficult to get a climate
sensitivity below 2 ºC in a climate
model, no matter how one changes the parameters.
Though the study's authors concede the study is limited by the «availability of data and the necessity to make assumptions to
model likely scenarios,» they carried out
sensitivity analysis to assess the resuts, and also found that in all scenarios tested there was a net benefit (i.e. increased longevity) for Bicing users.
Given that
models have been improving in their ability to
model processes, I personally find it difficult to believe that, at least in terms of a Bayesian
analysis, the
models themselves aren't doing better in terms of their ability to identify climate
sensitivity by applying first principles to our climate system.
No, it is not based on the
models - the
sensitivity numbers come from multiple, independent
analyses - paleoclimate, modern climate, and
models.
Also referred to as synthetic scenarios (IPCC, 1994), they are commonly applied to study the
sensitivity of an exposure unit to a wide range of variations in climate, often according to a qualitative interpretation of projections of future regional climate from climate
model simulations (guided
sensitivity analysis, see IPCC - TGCIA, 1999).
Chris V wrote: «No, it is not based on the
models - the
sensitivity numbers come from multiple, independent
analyses - paleoclimate, modern climate, and
models.
I really would like to see a proper
analysis of physical
sensitivities, but that would demand a rerun of the
models many times for each parameter to map out the changes in
sensitivity.
Sensitivity of the climate to carbon dioxide, and the level of uncertainty in its value, is a key input into the economic
models that drive cost - benefit
analyses, including estimates of the social cost of carbon.
You wrote, «I really would like to see a proper
analysis of physical
sensitivities, but that would demand a rerun of the
models many times for each parameter to map out the changes in
sensitivity.»
It is difficult to then avoid the conclusion that the
model - based
sensitivity analyses (and observationally based
analyses that use large values of aci) produce GHG equilibrium
sensitivity values that are too large.
«For now, if our
analysis is correct, I think it is important to correct the climate
models so that they include reliable
sensitivity to solar activity.
Italian flag
analysis: 30 % Green, 50 % White, 20 % Red (JC Note: all climate
models produce this result in spite of different
sensitivities and using different forcing data sets; the
models do not agree on the causes of the early 20th century warming and the mid-century cooling and do not reproduce the mid-century cooling.)
Using variable resolution global
models, their
analyses will take into account the
sensitivity of water cycle processes such as atmospheric rivers and monsoons to
model resolution.
Also, as to this: «Note, my weights were not determined using any fancy
analysis, but integrate my sense of uncertainty in CO2
sensitivity,
model uncertainties, and particularly the wild card that is natural variability.»
But in the last
analysis, why perfect open loop climate
sensitivity modeling when all the real world data are closed loop?
Note, my weights were not determined using any fancy
analysis, but integrate my sense of uncertainty in CO2
sensitivity,
model uncertainties, and particularly the wild card that is natural variability.
I also liked the
sensitivity analysis of solving climate
models for prediction.
«Lewis & Crok perform their own evaluation of climate
sensitivity, placing more weight on studies using «observational data» than estimates of climate
sensitivity based on climate
model analysis.»
Can't find a recent item on arctic sea ice but hoped it might be worth pointing out Peng et al
Sensitivity Analysis of Arctic Sea Ice Extent Trends and Statistical Projections Using Satellite Data http://www.mdpi.com/2072-4292/10/2/230/htm «The most persistently probable curve - fit
model from all the methods examined appears to be Gompertz, even if it is not the best of the subset for all analyzed periods.
It is certainly done in
models where it is called
sensitivity analysis.
WP performed 3 - PG
modeling and
sensitivity analyses, all GIS
analyses, climate correlations, remote sensing data
analyses and data preparation.
The
model behind the research is available for scientists and policymakers to design their own scenarios for bioenergy, conduct
sensitivity analysis, and get immediate feedback showing the full dynamics, including both short and long run impacts.
The IPCC report acknowledges the scientific debate that continues over the issue of climate
sensitivity and the different results between
models and
analysis based on observations.
Design / methodology / approach: The
analyses are based on the IPCC's own reports, the observed temperatures versus the IPCC
model - calculated temperatures and the warming effects of greenhouse gases based on the critical studies of climate
sensitivity (CS).
manacker / max You write «Past predictions of 2xCO2 climate
sensitivity at equilibrium (ECS) have been made based on
model simulations, rather than on
analyses of real - time data».