Non‐Gaussian Parameter Inference for Hydrogeological Models Using Stein Variational Gradient Descent-Reference-Cited by-同舟云学术

Non‐Gaussian Parameter Inference for Hydrogeological Models Using Stein Variational Gradient Descent

Published:2021-04 Issue:4 Volume:57 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Res

Author:

Ramgraber Maximilian¹²^ORCID,Weatherl Robin¹²^ORCID,Blumensaat Frank³^ORCID,Schirmer Mario¹²^ORCID

Affiliation:

1. Department of Water Resources and Drinking Water Swiss Federal Institute of Aquatic Science and Technology (Eawag) Dübendorf Switzerland

2. Centre for Hydrogeology and Geothermics (CHYN) University of Neuchâtel Neuchâtel Switzerland

3. Department of Urban Water Management Integrated Assessment and Modelling Swiss Federal Institute of Aquatic Science and Technology (Eawag) Dübendorf Switzerland

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020WR029339

Reference58 articles.

1. An adaptive covariance inflation error correction algorithm for ensemble filters

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3. Scripting MODFLOW Model Development Using Python and FloPy

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