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

dataset
posted on 11.01.2021, 09:08 by S. (Sangeetika) Ruchi, Svetlana Dubinkina, Jana de Wiljes
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.

Funding

Shell-NWO/FOM 14CSER007

SFB 1294:  Data Assimilation - The seamless integration of data and models

Deutsche Forschungsgemeinschaft

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History

Publisher

4TU.ResearchData

Organizations

Centrum Wiskunde & Informatica, Amsterdam, The Netherlands

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