Statistical assignment of upscaled flow functions for an ensemble of geological models

ISSN： 1420-0597

Source： Computational Geosciences, Vol.15, Iss.1, 2011-01, pp. : 35-51

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

Integration of microseismic monitoring data into coupled flow and geomechanical models with ensemble Kalman filter

WATER RESOURCES RESEARCH, Vol. 51, Iss. 7, 2015-07 ,pp. : 5177-5197

John Wiley & Sons Inc

Access to resources Recommend Favorite

Seasonal and annual variation in transpiration of a dominant desert species, Haloxylon ammodendron, in Central Asia up‐scaled from sap flow measurement

ECOHYDROLOGY (ELECTRONIC), Vol. 8, Iss. 5, 2015-07 ,pp. : 948-960

John Wiley & Sons Inc

Access to resources Recommend Favorite

Post‐processing of ensemble forecasts in low‐flow period

HYDROLOGICAL PROCESSES (ELECTRONIC), Vol. 29, Iss. 10, 2015-05 ,pp. : 2438-2453

John Wiley & Sons Inc

Access to resources Recommend Favorite

A probabilistic parametrization for geological uncertainty estimation using the ensemble Kalman filter (EnKF)

By Sebacher Bogdan Hanea Remus Heemink Arnold

Computational Geosciences, Vol. 17, Iss. 5, 2013-10 ,pp. : 813-832

Springer Publishing Company

Access to resources Recommend Favorite

Flow‐dependent verification of the ECMWF ensemble over the Euro‐Atlantic sector

THE QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, Vol. 141, Iss. 688, 2015-04 ,pp. : 916-924

John Wiley & Sons Inc

Access to resources Recommend Favorite