DART-PFLOTRAN: An ensemble-based data assimilation system for estimating subsurface flow and transport model parameters

Jiang, P., Chen, X., Chen, K., Anderson, J., Collins, N., et al. (2021). DART-PFLOTRAN: An ensemble-based data assimilation system for estimating subsurface flow and transport model parameters. Environmental Modelling & Software, doi:10.1016/j.envsoft.2021.105074

Title DART-PFLOTRAN: An ensemble-based data assimilation system for estimating subsurface flow and transport model parameters
Author(s) Peishi Jiang, Xingyuan Chen, Kewei Chen, Jeffrey Anderson, Nancy Collins, Mohamad EL. Gharamti
Abstract Ensemble-based Data Assimilation (EDA) has been effectively applied to estimate model parameters through inverse modeling in subsurface flow and transport problems. To facilitate the management of EDA workflow and lower the barriers for adopting EDA-based parameter estimation in subsurface science, we develop a software framework linking the Data Assimilation Research Testbed (DART) with a massively parallel subsurface FLOw and TRANsport code PFLOTRAN. DART-PFLOTRAN enables an iterative EDA workflow based on the Ensemble Smoother for Multiple Data Assimilation method (ES-MDA) to improve estimation accuracy for nonlinear forward problems. We verify the implementation of ES-MDA in DART-PFLOTRAN using two synthetic cases designed to estimate static permeability and dynamic exchange fluxes across the riverbed from continuous temperature measurements. Both cases yield accurate estimations of the parameters compared to their synthetic truth. With a code base in Python and Fortran, DART-PFLOTRAN paves the way for large-scale inverse modeling using the sequential ES-MDA.
Publication Title Environmental Modelling & Software
Publication Date Aug 1, 2021
Publisher's Version of Record https://dx.doi.org/10.1016/j.envsoft.2021.105074
OpenSky Citable URL https://n2t.net/ark:/85065/d7222z6g
OpenSky Listing View on OpenSky
CISL Affiliations TDD, DARES

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