Articles | Volume 16, issue 1
Development and technical paper
02 Jan 2023
Development and technical paper |  | 02 Jan 2023

Accelerated photosynthesis routine in LPJmL4

Jenny Niebsch, Werner von Bloh, Kirsten Thonicke, and Ronny Ramlau


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-126', Anonymous Referee #1, 12 Jul 2022
    • AC1: 'Reply on RC1', Jenny Niebsch, 07 Nov 2022
  • RC2: 'Comment on gmd-2022-126', Anonymous Referee #2, 25 Sep 2022
    • AC2: 'Reply on RC2', Jenny Niebsch, 07 Nov 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Jenny Niebsch on behalf of the Authors (14 Nov 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (21 Nov 2022) by Carlos Sierra
AR by Jenny Niebsch on behalf of the Authors (28 Nov 2022)  Author's response   Manuscript 

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Jenny Niebsch on behalf of the Authors (22 Dec 2022)   Author's adjustment   Manuscript
EA: Adjustments approved (22 Dec 2022) by Carlos Sierra
Short summary
The impacts of climate change require strategies for climate adaptation. Dynamic global vegetation models (DGVMs) are used to study the effects of multiple processes in the biosphere under climate change. There is a demand for a better computational performance of the models. In this paper, the photosynthesis model in the Lund–Potsdam–Jena managed Land DGVM (4.0.002) was examined. We found a better numerical solution of a nonlinear equation. A significant run time reduction was possible.