Sentences with phrase «global sensitivity analyses»

Topics discussed in the workshop covered Bayesian inference, Markov Chain Monte Carlo, emulation, and global sensitivity analyses, etc..

These results, vital for in - depth fuel and engine design work, are detailed in the paper «Numerical Investigation of a Gasoline - Like Fuel in a Heavy - Duty Compression Ignition Engine Using Global Sensitivity Analysis» to be published in an upcoming print edition of the SAE International Journal of Fuels and Lubricants.

Not exact matches

For one study that was conducted in China (Wu 2014), data were not presented in the paper or available in the WHO Global Data Bank on Infant and Young Child Feeding and so were therefore excluded from the sensitivity analysis.

Dr. Benestad states: «From regression analysis cited by the authors (Douglass and Clader 2002, White et al. 1997), it seems possible that the sensitivity of global surface temperature to variations of total solar irradiance might be about 0.1 K / Wm -2.

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.

The results of the analysis demonstrate that relative to the reference case, projected atmospheric CO2 concentrations are estimated by 2100 to be reduced by 3.29 to 3.68 part per million by volume (ppmv), global mean temperature is estimated to be reduced by 0.0076 to 0.0184 °C, and sea - level rise is projected to be reduced by approximately 0.074 — 0.166 cm, based on a range of climate sensitivities.

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.

The near - linear rate of anthropogenic warming (predominantly from anthropogenic greenhouse gases) is shown in sources such as: «Deducing Multidecadal Anthropogenic Global Warming Trends Using Multiple Regression Analysis» «The global warming hiatus — a natural product of interactions of a secular warming trend and a multi-decadal oscillation» «The Origin and Limits of the Near Proportionality between Climate Warming and Cumulative CO2 Emissions» «Sensitivity of climate to cumulative carbon emissions due to compensation of ocean heat and carbon uptake» «Return periods of global climate fluctuations and the pause» «Using data to attribute episodes of warming and cooling in instrumental records» «The proportionality of global warming to cumulative carbon emissions» «The sensitivity of the proportionality between temperature change and cumulative CO2 emissions to ocean mixing&Global Warming Trends Using Multiple Regression Analysis» «The global warming hiatus — a natural product of interactions of a secular warming trend and a multi-decadal oscillation» «The Origin and Limits of the Near Proportionality between Climate Warming and Cumulative CO2 Emissions» «Sensitivity of climate to cumulative carbon emissions due to compensation of ocean heat and carbon uptake» «Return periods of global climate fluctuations and the pause» «Using data to attribute episodes of warming and cooling in instrumental records» «The proportionality of global warming to cumulative carbon emissions» «The sensitivity of the proportionality between temperature change and cumulative CO2 emissions to ocean mixing&global warming hiatus — a natural product of interactions of a secular warming trend and a multi-decadal oscillation» «The Origin and Limits of the Near Proportionality between Climate Warming and Cumulative CO2 Emissions» «Sensitivity of climate to cumulative carbon emissions due to compensation of ocean heat and carbon uptake» «Return periods of global climate fluctuations and the pause» «Using data to attribute episodes of warming and cooling in instrumental records» «The proportionality of global warming to cumulative carbon emissions» «The sensitivity of the proportionality between temperature change and cumulative CO2 emissions to ocean miSensitivity of climate to cumulative carbon emissions due to compensation of ocean heat and carbon uptake» «Return periods of global climate fluctuations and the pause» «Using data to attribute episodes of warming and cooling in instrumental records» «The proportionality of global warming to cumulative carbon emissions» «The sensitivity of the proportionality between temperature change and cumulative CO2 emissions to ocean mixing&global climate fluctuations and the pause» «Using data to attribute episodes of warming and cooling in instrumental records» «The proportionality of global warming to cumulative carbon emissions» «The sensitivity of the proportionality between temperature change and cumulative CO2 emissions to ocean mixing&global warming to cumulative carbon emissions» «The sensitivity of the proportionality between temperature change and cumulative CO2 emissions to ocean misensitivity of the proportionality between temperature change and cumulative CO2 emissions to ocean mixing»

Such an assessment should involve a detailed analysis of the sensitivity of global - mean temperatures derived from these three different measurement systems to the various choices made in the processing of the raw data — e.g., corrections for instrument changes, adjustments for orbital decay effects in the satellite measurements, and procedures for interpolating station data onto grids.

Quantitative insights on global temperature sensitivity to external forcings [51]--[52] and sea level sensitivity to global temperature [52]--[53] are crucial to our analyses.

seems to make any analysis with a linear dependence on global mean surface temperature suspect I suppose I should also add, for the purpose of analyzing equilibrium climate sensitivity — there may be other questions relating to short timescale processes where it may still be useful..

A paper published back in 1998 and co-authored by Richard Tol and titled: A BAYESIAN STATISTICAL ANALYSIS OF THE ENHANCED GREENHOUSE EFFECT dealt with climate sensitivity, even though the main purpose of the paper was to demonstrate: «This paper demonstrates that there is a robust statistical relationship between the records of the global mean surface air temperature and the atmospheric concentration of carbon dioxide over the period 1870 — 1991.»

Sensitivity analysis indicates that uncertainty about the measure of surface temperature, anthropogenic sulfur emissions, or its conversion to radiative forcing has a small effect on the model's simulated forecast for global surface temperature (SI Appendix: Section 2.4 and Figs S3, S4).

Climate sensitivity is 0.5 K from the global energy budget of the earth, and it is 0.8 K from the data analysis of Pinatubo eruption.

As part of their assessment of the HadCRUT4 dataset, the UK Met Office - University of East Anglia group carried out a sensitivity test (reported in Jones et al., 2012) in which the global analysis of land areas was re-run with all Australian data deleted.

I wanted to do another analysis of the atmospheric water content, q, using the RSS SSM / I data set at another latitude in order to check the sensitivity of the first result (reported above) of the global zone from 50S to 50N to the latitude zone selection.

Tsigaridis, K., and M. Kanakidou, 2003: Global modelling of secondary organic aerosol in the troposphere: A sensitivity analysis.

Manager, Financial Planning & Analysis — Global Sales & Marketing 2009 — Present Spearheaded the development and execution of annual and strategic financial plans, focused on underlying business drivers and sensitivity analysis by modeling and quantifying the potential effects of changes in business Analysis — Global Sales & Marketing 2009 — Present Spearheaded the development and execution of annual and strategic financial plans, focused on underlying business drivers and sensitivity analysis by modeling and quantifying the potential effects of changes in business analysis by modeling and quantifying the potential effects of changes in business drivers.

We will employ validated local and global methods to evaluate consistency and we will explore whether treatment effects are robust in network subgroup analyses and sensitivity analyses.

She draws upon a 2003 meta - analysis conducted by Bakermans - Kranenburg, van Ijzendoorn and Juffer, in which they concluded that interventions that target parental sensitivity and are initiated after approximately six months of age are more effective than interventions with more global goals that begin during the early months.8 Moreover, she concludes that brief interventions are at least as effective as those that are longer in duration.