Sentences with phrase «single modelling sensitivity»

The link is based on a single modelling sensitivity study (Rotstayn and Lohmann, 2002) which looked at only the changes in the indirect effect from the pre-industrial (ca. 1850) to the present day.

Not exact matches

«We showed that the model accurately represents what we measured in cities, so now we can use it to conduct sensitivity studies, where only a single variable — the percentage of the city covered by impervious versus pervious materials — changes,» he said.

The median and range of their results is different to what the IPCC derived using a single model tuned to sensitivities from the GCMs.

(in general, whether for future projections or historical reconstructions or estimates of climate sensitivity, I tend to be sympathetic to arguments of more rather than less uncertainty because I feel like in general, models and statistical approaches are not exhaustive and it is «plausible» that additional factors could lead to either higher or lower estimates than seen with a single approach.

So, small (a degree or so) variations in the global mean don't impact the global sensitivity in either toy models, single GCMs or the multi-model ensemble.

Since none of the four models considered by the Mediterranean study consistently out - performed the others in simulating present - day climate, the researchers combined their results to produce a single composite scenario for each climate variable.2 To prevent the GCM with the greatest sensitivity from dominating the scenarios, they first had to standardise the model results.

While the climate models are complex, and the actual climate even, err, complexer, we can shortcut the reaction of global temperatures to CO2 to a single figure called climate sensitivity.

Whether you calculate it using a 1D model or a 3D model, what you determine is a single number that represent climate sensitivity for the whole planet.

Tom, The other studies featured in Figure 9.20 mainly use simpler climate models than AOGCMs — models in which climate sensitivity S can be adjusted to known values using a single parameter.

HI Alex, It's a reasonable question, but the straightforward answer is that we know that the sensitivity to a range of different positive and negative forcings varies (it certainly does in models, therfore presumably also does in the real system) and so can not be so easily summarised in a single number.

For example in the case of Knutti et al. (2006), a strong relationship between current behaviour and equilibrium climate sensitivity, that is found to hold across a single model ensemble, has no skill in predicting the climate sensitivity of the members of the CMIP3 ensemble.

Here we extend the evaluation to those variables and analyse several ensembles; two multi-model ensembles (MMEs) from CMIP3 and four structurally different single model ensembles (SMEs, sometimes also referred to a perturbed physics or perturbed parameter ensembles) with different ranges of climate sensitivity.

The early scientific reviews suggest a couple of reasons: firstly, that modelling the climate as an AR (1) process with a single timescale is an over-simplification; secondly, that a similar analysis in a GCM with a known sensitivity would likely give incorrect results, and finally, that his estimate of the error bars on his calculation are very optimistic.

conducting tests of the sensitivity to uncertainties associated with the forcing datasets using a single model;

Simulated * Conducted Tolerance Stack - up Analysis and launched Six Sigma experimentation for 80 single strip wheels and analyzed current sigma level * Identified root causes of variation of key variables and resulted in annual cost reduction of $ 200,000 real world scenarios in bi-level programming model and concluded the sensitivity analysis of carbon emissions cost impact on company profit * Organized a survey among heads...