Articles | Volume 19, issue 17
https://doi.org/10.5194/gmd-19-8289-2026
https://doi.org/10.5194/gmd-19-8289-2026
Development and technical paper
 | 
08 Sep 2026
Development and technical paper |  | 08 Sep 2026

A general physiologically driven representation of leaf turnover in grasslands in the QUINCY land surface model (revision: 974a6b7f)

Josua Seitz, Midori Yajima, Yu Zhu, Lumnesh Swaroop Kumar Joseph, Jinyan Yang, Fabrice Lacroix, Yunpeng Luo, Andreas Schaumberger, Michael Bahn, Sönke Zaehle, and Silvia Caldararu

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on egusphere-2025-5731 - No compliance with the policy of the journal', Juan Antonio Añel, 11 Feb 2026
    • AC1: 'Reply on CEC1', Josua Seitz, 13 Feb 2026
      • CEC2: 'Reply on AC1', Juan Antonio Añel, 13 Feb 2026
        • AC2: 'Reply on CEC2', Josua Seitz, 16 Feb 2026
  • RC1: 'Comment on egusphere-2025-5731', Anonymous Referee #1, 17 Mar 2026
    • AC3: 'Reply on RC1', Josua Seitz, 15 May 2026
  • RC2: 'Comment on egusphere-2025-5731', Anonymous Referee #2, 31 Mar 2026
    • AC4: 'Reply on RC2', Josua Seitz, 15 May 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Josua Seitz on behalf of the Authors (11 Jun 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (12 Jun 2026) by Hisashi Sato
RR by Anonymous Referee #1 (26 Jun 2026)
ED: Publish as is (29 Jun 2026) by Hisashi Sato
AR by Josua Seitz on behalf of the Authors (07 Jul 2026)  Author's response   Manuscript 
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Short summary
This study presents a new global leaf turnover model for grasslands in the QUINCY (QUantifying Interactions between terrestrial Nutrient CYcles and the climate system) land surface model. Land surface models often struggle to simulate grassland carbon dynamics and phenology accurately. By allowing environmental conditions to directly control leaf senescence we improve its timing as well as the accuracy of whole-season carbon dynamics across a wide range of climates and grassland ecosystems.
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