RELATED BOOKS:
Uncertainty Quantification in Stochastic Climate Models
Language: en
Pages:
Authors:
Categories:
Type: BOOK - Published: 2012 - Publisher:

Books about Uncertainty Quantification in Stochastic Climate Models
Uncertainty Quantification
Language: en
Pages: 383
Authors: Ralph C. Smith
Categories: Estimation theory
Type: BOOK - Published: 2013-12-02 - Publisher: SIAM

The field of uncertainty quantification is evolving rapidly because of increasing emphasis on models that require quantified uncertainties for large-scale applications, novel algorithm development, and new computational architectures that facilitate implementation of these algorithms. Uncertainty Quantification: Theory, Implementation, and Applications provides readers with the basic concepts, theory, and algorithms necessary
A National Strategy for Advancing Climate Modeling
Language: en
Pages: 294
Authors: Division on Earth and Life Studies, Board on Atmospheric Sciences and Climate, Committee on a National Strategy for Advancing Climate Modeling
Categories: Science
Type: BOOK - Published: 2013-01-24 - Publisher: National Academies Press

As climate change has pushed climate patterns outside of historic norms, the need for detailed projections is growing across all sectors, including agriculture, insurance, and emergency preparedness planning. A National Strategy for Advancing Climate Modeling emphasizes the needs for climate models to evolve substantially in order to deliver climate projections
Uncertainty Quantification in Multiscale Materials Modeling
Language: en
Pages: 900
Authors: Yan Wang, David L. McDowell
Categories: Materials science
Type: BOOK - Published: 2020-03-12 - Publisher: Woodhead Publishing Limited

Uncertainty Quantification in Multiscale Materials Modeling provides a complete overview of uncertainty quantification (UQ) in computational materials science. It provides practical tools and methods along with examples of their application to problems in materials modeling. UQ methods are applied to various multiscale models ranging from the nanoscale to macroscale. This
Nonlinear and Stochastic Climate Dynamics
Language: en
Pages:
Authors: Christian L. E. Franzke, Terence J. O'Kane
Categories: Science
Type: BOOK - Published: 2017-01-19 - Publisher: Cambridge University Press

It is now widely recognized that the climate system is governed by nonlinear, multi-scale processes, whereby memory effects and stochastic forcing by fast processes, such as weather and convective systems, can induce regime behavior. Motivated by present difficulties in understanding the climate system and to aid the improvement of numerical