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

doi: 10.4121/12987719.v1
The doi 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
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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

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