Data underlying the paper: Application of ensemble transform data assimilation methods for parameter estimation in nonlinear problems

DOI:10.4121/12987719.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/12987719

Datacite citation style

Ruchi, S. (Sangeetika); Dubinkina, Svetlana; de Wiljes, Jana (2021): Data underlying the paper: Application of ensemble transform data assimilation methods for parameter estimation in nonlinear problems. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/12987719.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Usage statistics

1666
views
1
citations
2403
downloads

Licence

CC0

Interoperability

This dataset contains data used for the article "Application of ensemble transform data assimilation methods for parameter estimation in nonlinear problems" S.Ruchi, S.Dubinkina, and J. de Wiljes in Nonlin. Processes Geophys. Discuss, 2020, https://doi.org/10.5194/npg-2020-24.
The purpose of this work is to compare ensemble transform data assimilation methods for estimating high-dimensional parameters in a model of groundwater flow with uncertain rock properties.

History

  • 2021-01-11 first online, published, posted

Publisher

4TU.ResearchData

Funding

  • Shell-NWO/FOM 14CSER007
  • SFB 1294:  Data Assimilation – The Seamless Integration of Data and Models (grant code 318763901) [more info...] Deutsche Forschungsgemeinschaft

Organizations

Centrum Wiskunde & Informatica, Amsterdam, The Netherlands

DATA

Files (15)