Sentences with phrase «observational uncertainty on»

Few detection studies have explicitly considered the influence of observational uncertainty on near - surface temperature changes.

We recently published a paper exploring the impact of observational uncertainty on an attribution analysis.

Not exact matches

The form of the Jeffreys» prior depends on both the relationship of the observed variable (s) to the parameter (s) and the nature of the observational errors and other uncertainties, which determine the form of the likelihood function.

What is missing is the more quantitative information on aerosol radiative properties, geographical distributions, trends, and observational results (including uncertainties) that can be found in the IPCC AR4 Report.

However, the recommendation to eat fruit and vegetables to prevent chronic diseases is mainly based on observational epidemiological studies, which leaves much uncertainty regarding the causal mechanism of this association.

Here we quantify the effects of key parametric uncertainties and observational constraints on thermosteric SLR projections using an Earth system model with a dynamic three - dimensional ocean, which provides a mechanistic representation of deep ocean processes and heat uptake.

These recent studies have broken important new ground, but they largely neglect uncertainties surrounding thermal expansion (thermosteric SLR) and / or observational constraints on ocean heat uptake.

The first part of this sentence seems to demand a high level of uncertainty with respect to the later assertion, especially when one considers that the work seems to be based on 4 years of observational data, the post-2007 ice decline.

However, Hegerl et al. (2001) show that inclusion of observational sampling uncertainty has relatively little effect on detection results and that random instrumental error has even less effect.

So, while the environment that produces precipitation is affected by the observational analysis, precipitation relies on the model physics, and has significant uncertainty.

Acting on uncertainty can and will kill people; wise decision makers will not and can not make such decisions unless and until they have «engineering» hard numbers backed by uncontested observational data.

We applied the same method used in the observational analysis on general circulation model data to decrease the statistical uncertainty at the expense of an increased systematic uncertainty.

These calculations, based on ERBE and CERES observational data, are themselves subject to considerable uncertainty, but are consistent with a positive imbalance (more incoming than outgoing energy) that would be expected from greenhouse gas forcing.

This study addresses the challenge by undertaking a formal detection and attribution analysis of SCE changes based on several observational datasets with different structural characteristics, in order to account for the substantial observational uncertainty.

One hundred samples from a 2,276 - member ensemble were selected to represent observational constraints on the model's parametric uncertainties.