Articles | Volume 17, issue 24
https://doi.org/10.5194/gmd-17-8955-2024
https://doi.org/10.5194/gmd-17-8955-2024
Model description paper
 | 
19 Dec 2024
Model description paper |  | 19 Dec 2024

Lambda-PFLOTRAN 1.0: a workflow for incorporating organic matter chemistry informed by ultra high resolution mass spectrometry into biogeochemical modeling

Katherine A. Muller, Peishi Jiang, Glenn Hammond, Tasneem Ahmadullah, Hyun-Seob Song, Ravi Kukkadapu, Nicholas Ward, Madison Bowe, Rosalie K. Chu, Qian Zhao, Vanessa A. Garayburu-Caruso, Alan Roebuck, and Xingyuan Chen

Viewed

Total article views: 1,030 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
562 426 42 1,030 57 26 26
  • HTML: 562
  • PDF: 426
  • XML: 42
  • Total: 1,030
  • Supplement: 57
  • BibTeX: 26
  • EndNote: 26
Views and downloads (calculated since 30 Apr 2024)
Cumulative views and downloads (calculated since 30 Apr 2024)

Viewed (geographical distribution)

Total article views: 1,030 (including HTML, PDF, and XML) Thereof 1,012 with geography defined and 18 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Jan 2025
Download
Short summary
The new Lambda-PFLOTRAN workflow incorporates organic matter chemistry into reaction networks to simulate aerobic respiration and biogeochemistry. Lambda-PFLOTRAN is a Python-based workflow in a Jupyter notebook interface that digests raw organic matter chemistry data via Fourier transform ion cyclotron resonance mass spectrometry, develops a representative reaction network, and completes a biogeochemical simulation with the open-source, parallel-reactive-flow, and transport code PFLOTRAN.