Comparing Seven Variants of the Ensemble Kalman Filter: How Many Synthetic Experiments Are Needed?-Reference-Cited by-同舟云学术

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Comparing Seven Variants of the Ensemble Kalman Filter: How Many Synthetic Experiments Are Needed?

Published:2018-09 Issue:9 Volume:54 Page:6299-6318
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Keller Johannes¹^ORCID,Hendricks Franssen Harrie-Jan²³^ORCID,Marquart Gabriele¹^ORCID

Affiliation:

1. Institute for Applied Geophysics and Geothermal Energy, E.ON Energy Research Center; RWTH Aachen University; Aachen Germany

2. Institute of Bio- and Geosciences, IBG-3 (Agrosphere); Forschungszentrum Jülich GmbH; Jülich Germany

3. Centre for High-Performance Scientific Computing in Terrestrial Systems (HPSC-TerrSys); Geoverbund ABC/J; Jülich Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1029/2018WR023374/fullpdf

Reference55 articles.

1. An ensemble adjustment Kalman filter for data assimilation;Anderson;Monthly Weather Review,2001

2. Catchment tomography-An approach for spatial parameter estimation;Baatz;Advances in Water Resources,2017

3. Analysis scheme in the ensemble Kalman filter;Burgers;Monthly Weather Review,1998

4. Comparison of data assimilation techniques for a coupled model of surface and subsurface flow;Camporese;Vadose Zone Journal,2009

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