Preprints
https://doi.org/10.5194/gmd-2021-244
https://doi.org/10.5194/gmd-2021-244
Submitted as: development and technical paper
 | 
21 Jul 2021
Submitted as: development and technical paper |  | 21 Jul 2021
Status: this preprint has been withdrawn by the authors.

Modeling perennial bioenergy crops in the E3SM land model

Eva Sinha, Kate Calvin, Ben Bond-Lamberty, Beth Drewniak, Dan Ricciuto, Khachik Sargsyan, Yanyan Cheng, Carl Bernacchi, and Caitlin Moore

Abstract. Perennial bioenergy crops are increasingly important for the production of ethanol and other renewable fuels, and as part of an agricultural system that alters the climate through its impact on biogeophysical and biogeochemical properties of the terrestrial ecosystem. The Energy Exascale Earth System Model (E3SM) Land Model (ELM) does not represent perennial bioenergy crops, however. In this study, we expand ELM’s crop model to include perennial bioenergy crops whose production increases in modeled socioeconomic pathways owing to their potential for mitigating climate change. We focus on high-productivity miscanthus and switchgrass, estimating various parameters associated with their different growth stages and performing a global sensitivity analysis to identify and optimize these parameters. The sensitivity analysis identifies eight parameters associated with phenology, carbon/nitrogen allocation, and photosynthetic capacity as the most sensitive parameters for carbon and energy fluxes. We calibrated the model against observations collected at the University of Illinois Energy Farm for carbon and energy fluxes, and found that the model closely captures the observed seasonality and the magnitude of carbon fluxes. The model accurately represents the seasonality of energy fluxes, but their magnitude is not well captured. This work provides a foundation for future analyses of the interactions between perennial bioenergy crops and carbon, water, and energy dynamics in the larger earth system and can also be used for studying the impact of future biofuel expansion on climate and terrestrial systems.

This preprint has been withdrawn.

Eva Sinha, Kate Calvin, Ben Bond-Lamberty, Beth Drewniak, Dan Ricciuto, Khachik Sargsyan, Yanyan Cheng, Carl Bernacchi, and Caitlin Moore

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on gmd-2021-244', Astrid Kerkweg, 21 Jul 2021
  • RC1: 'Comment on gmd-2021-244', Anonymous Referee #1, 29 Aug 2021
    • RC2: 'Reply on RC1', Anonymous Referee #1, 29 Aug 2021
  • RC3: 'Comment on gmd-2021-244', Anonymous Referee #2, 29 Dec 2021
  • AC1: 'Comment on gmd-2021-244', Eva Sinha, 05 Feb 2022

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on gmd-2021-244', Astrid Kerkweg, 21 Jul 2021
  • RC1: 'Comment on gmd-2021-244', Anonymous Referee #1, 29 Aug 2021
    • RC2: 'Reply on RC1', Anonymous Referee #1, 29 Aug 2021
  • RC3: 'Comment on gmd-2021-244', Anonymous Referee #2, 29 Dec 2021
  • AC1: 'Comment on gmd-2021-244', Eva Sinha, 05 Feb 2022
Eva Sinha, Kate Calvin, Ben Bond-Lamberty, Beth Drewniak, Dan Ricciuto, Khachik Sargsyan, Yanyan Cheng, Carl Bernacchi, and Caitlin Moore
Eva Sinha, Kate Calvin, Ben Bond-Lamberty, Beth Drewniak, Dan Ricciuto, Khachik Sargsyan, Yanyan Cheng, Carl Bernacchi, and Caitlin Moore

Viewed

Total article views: 1,927 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,562 312 53 1,927 23 24
  • HTML: 1,562
  • PDF: 312
  • XML: 53
  • Total: 1,927
  • BibTeX: 23
  • EndNote: 24
Views and downloads (calculated since 21 Jul 2021)
Cumulative views and downloads (calculated since 21 Jul 2021)

Viewed (geographical distribution)

Total article views: 1,812 (including HTML, PDF, and XML) Thereof 1,812 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Mar 2024
Download

This preprint has been withdrawn.

Short summary
Perennial bioenergy crops are not well represented in global land models, despite projected increase in their production. Our study expands Energy Exascale Earth System Model (E3SM) Land Model (ELM) to include perennial bioenergy crops and calibrates the model for miscanthus and switchgrass. The calibrated model captures the seasonality and magnitude of carbon and energy fluxes. This study provides the foundation for future research examining the impact of perennial bioenergy crop expansion.