A variance‐based decomposition and global sensitivity index method for uncertainty quantification: Application to retrieved ice cloud properties

Publisher： John Wiley & Sons Inc

E-ISSN： 2169-8996|120|9|4234-4247

ISSN： 2169-897x

Source： JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES, Vol.120, Iss.9, 2015-05, pp. : 4234-4247

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Uncertainty Quantification and Global Sensitivity Analysis of Subsurface Flow Parameters to Gravimetric Variations During Pumping Tests in Unconfined Aquifers

By  

WATER RESOURCES RESEARCH, Vol. 54, Iss. 1, 2018-01 ,pp. : 501-518

John Wiley & Sons Inc

Access to resources Recommend Favorite

Conditional first‐order second‐moment method and its application to the quantification of uncertainty in groundwater modeling

By  

WATER RESOURCES RESEARCH, Vol. 38, Iss. 4, 2002-04 ,pp. : 6-1-6-14

John Wiley & Sons Inc

Access to resources Recommend Favorite

Construction of variance-based metamodels for probabilistic seismic analysis and fragility assessment

By    

Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, Vol. 8, Iss. 3, 2014-07 ,pp. : 202-216

Taylor & Francis Ltd

Access to resources Recommend Favorite

Model‐uncertainty quantification in seismic tomography: method and applications

By  

GEOPHYSICAL PROSPECTING, Vol. 61, Iss. 6, 2013-11 ,pp. : 1114-1134

John Wiley & Sons Inc

Access to resources Recommend Favorite

Adjoint‐based forecast sensitivity applied to observation‐error variance tuning

By  

THE QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, Vol. 141, Iss. 693, 2015-10 ,pp. : 3157-3165

John Wiley & Sons Inc

Access to resources Recommend Favorite