«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.&raqu
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.&raqu
in 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 conference
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 conference
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 conference
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 conference
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 conference
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 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.