Sentences with phrase «uncertainty quantification in»

«Metrics in the context of Climate Engineering» «Uncertainty Quantification in the context of Climate Engineering» read more...

Roy, C.J. and W.L. Oberkampf, A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing.

Dr. Yun Qian, atmospheric and climate modeling scientist at Pacific Northwest National Laboratory, was invited to organize and direct an international workshop on «Uncertainty Quantification in Climate Modeling and Projection» in Trieste, Italy.

Not exact matches

Murphy, J.M., et al., 2004: Quantification of modelling uncertainties in a large ensemble of climate change simulations.

«Uncertainty quantification» (or «UQ» for short) is a research area that has sprung to prominence in the last decade at the interface of applied mathematics, statistics, computational science, and many applications, usually in physical sciences and engineering, but also in biology, finance, and insurance.

«In summary, newly available observations from both space - borne and surface - based platforms allow a better quantification of the Global Energy Budget, even though notable uncertainties remain, particularly in the estimation of the non-radiative surface energy balance components.&raquIn summary, newly available observations from both space - borne and surface - based platforms allow a better quantification of the Global Energy Budget, even though notable uncertainties remain, particularly in the estimation of the non-radiative surface energy balance components.&raquin the estimation of the non-radiative surface energy balance components.»

In this case, the committee might have discovered more than a few papers by one of them on the subject, such as Risbey and Kandlikar (2002) «Expert Assessment of Uncertainties in Detection and Attribution of Climate Change» in the Bulletin of the American Meteorological Society, or that Prof. Risbey was a faculty member in Granger Morgan's Engineering and Public Policy department at CMU for five years, a place awash in expert elicitation of climate (I sent my abstract to Prof. Morgan — who I know from my AGU uncertainty quantification days — for his opinion before submitting it to the conferenceIn this case, the committee might have discovered more than a few papers by one of them on the subject, such as Risbey and Kandlikar (2002) «Expert Assessment of Uncertainties in Detection and Attribution of Climate Change» in the Bulletin of the American Meteorological Society, or that Prof. Risbey was a faculty member in Granger Morgan's Engineering and Public Policy department at CMU for five years, a place awash in expert elicitation of climate (I sent my abstract to Prof. Morgan — who I know from my AGU uncertainty quantification days — for his opinion before submitting it to the conferencein Detection and Attribution of Climate Change» in the Bulletin of the American Meteorological Society, or that Prof. Risbey was a faculty member in Granger Morgan's Engineering and Public Policy department at CMU for five years, a place awash in expert elicitation of climate (I sent my abstract to Prof. Morgan — who I know from my AGU uncertainty quantification days — for his opinion before submitting it to the conferencein the Bulletin of the American Meteorological Society, or that Prof. Risbey was a faculty member in Granger Morgan's Engineering and Public Policy department at CMU for five years, a place awash in expert elicitation of climate (I sent my abstract to Prof. Morgan — who I know from my AGU uncertainty quantification days — for his opinion before submitting it to the conferencein Granger Morgan's Engineering and Public Policy department at CMU for five years, a place awash in expert elicitation of climate (I sent my abstract to Prof. Morgan — who I know from my AGU uncertainty quantification days — for his opinion before submitting it to the conferencein expert elicitation of climate (I sent my abstract to Prof. Morgan — who I know from my AGU uncertainty quantification days — for his opinion before submitting it to the conference).

There are considerable uncertainties even in nature and quantification of the so called ordered forcing, in predicting economic, social or technological trajectories and in costing future impacts.

These issues, which are either not recognized at all in the assessments or are understated, include: - the identification of a warm bias in nighttime minimum temperatures - poor siting of the instrumentation to measure temperatures - the influence of trends in surface air water vapor content on temperature trends - the quantification of uncertainties in the homogenization of surface temperature data, and the influence of land use / land cover change on surface temperature trends.

At the moment, the uncertainties in modeling and complexities of the ocean system even prevent any quantification of how much of the present changes in the oceans is being caused by anthropogenic climate change or natural climate variability, and how much by other human activities such as fishing, pollution, etc..

Uncertainty in any form makes the quantification and valuation of risk in an electric generation investment much more difficult (or impossible) and severely limits investor interest.

We are averse to the idea that climate models, which have gross and well - documented deficiencies in their representation of aerosol — cloud interactions (cf. Boucher et al. 2013), provide a meaningful quantification of forcing uncertainty.

Pekka, «Use of state - of - the - art statistical methods could substantially improve the quantification of uncertainty in assessments of climate change.»

Real scientists know there are gaps in human knowledge, but most are very careful (sometimes overly so when talking to the public) to talk about how sure they are about various things, and much of real science is about quantification of uncertainty and reduction thereof.

Her main research interest is the quantification of uncertainty and validation of climate models, in particular with respect to extreme events, in order to undertake attribution studies of extreme weather events to external climate drivers.

Uncertainties in forcings and in climate models» temperature responses to individual forcings and difficulty in distinguishing the patterns of temperature response due to GHGs and other anthropogenic forcings prevent a more precise quantification of the temperature changes attributable to GHGs.

Interpretation and Uncertainty Quantification of Climate and Integrated Earth System Models I Location: 3003 (Moscone West) Abstract Title: The Past as Prologue: Learning from the Climate Changes in Past Centuries (Invited) Final Paper Number: A32D - 02 Presentation Type: Oral Presentation Presentation Date and Time: December 5, 2012; 10:30 AM to 10:50 AM Presentation Length: 20 minutes Session Title: A32D.