Articles | Volume 16, issue 3
Development and technical paper
07 Feb 2023
Development and technical paper |  | 07 Feb 2023

Massively parallel modeling and inversion of electrical resistivity tomography data using PFLOTRAN

Piyoosh Jaysaval, Glenn E. Hammond, and Timothy C. Johnson


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-66', Mark Everett, 20 Mar 2022
  • RC2: 'Comment on gmd-2022-66', Michael Tso, 04 Aug 2022
  • AC1: 'Authors response on gmd-2022-66', Piyoosh Jaysaval, 02 Sep 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Piyoosh Jaysaval on behalf of the Authors (14 Oct 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to technical corrections (19 Jan 2023) by David Ham
Short summary
We present a robust and highly scalable implementation of numerical forward modeling and inversion algorithms for geophysical electrical resistivity tomography data. The implementation is publicly available and developed within the framework of PFLOTRAN (, an open-source, state-of-the-art massively parallel subsurface flow and transport simulation code. The paper details all the theoretical and implementation aspects of the new capabilities along with test examples.