Plant phenology evaluation of CRESCENDO land surface  models using satellite-derived Leaf Area Index  – Part 2: Seasonal trough, peak, and amplitude

Peano, Daniele; Hemming, Deborah; Delire, Christine; Fan, Yuanchao; Lee, Hanna; Materia, Stefano; Nabel, Julia E. M. S.; Park, Taejin; Wårlind, David; Wiltshire, Andy; Zaehle, Sönke

doi:10.5194/bg-22-7117-2025

Articles | Volume 22, issue 22

https://doi.org/10.5194/bg-22-7117-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-22-7117-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 22

Research article

|

24 Nov 2025

Research article |

| 24 Nov 2025

Plant phenology evaluation of CRESCENDO land surface models using satellite-derived Leaf Area Index – Part 2: Seasonal trough, peak, and amplitude

Daniele Peano, Deborah Hemming, Christine Delire, Yuanchao Fan, Hanna Lee, Stefano Materia, Julia E. M. S. Nabel, Taejin Park, David Wårlind, Andy Wiltshire, and Sönke Zaehle

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Month	HTML	PDF	XML	Total
Jan 2025	86	14	8	108
Feb 2025	74	44	2	120
Mar 2025	86	14	6	106
Apr 2025	72	30	10	112
May 2025	40	10	2	52
Jun 2025	70	8	8	86
Jul 2025	52	22	0	74
Aug 2025	296	16	6	318
Sep 2025	1,206	34	6	1,246
Oct 2025	64	22	4	90
Nov 2025	230	47	15	292
Dec 2025	312	86	19	417
Jan 2026	862	57	26	945
Feb 2026	749	44	10	803
Mar 2026	162	88	9	259
Apr 2026	180	89	12	281
May 2026	95	36	22	153
Jun 2026	31	20	4	55

Cumulative views and downloads (calculated since 30 Jan 2025)

Month	HTML	PDF	XML	Total
Jan 2025	86	14	8	108
Feb 2025	74	44	2	120
Mar 2025	86	14	6	106
Apr 2025	72	30	10	112
May 2025	40	10	2	52
Jun 2025	70	8	8	86
Jul 2025	52	22	0	74
Aug 2025	296	16	6	318
Sep 2025	1,206	34	6	1,246
Oct 2025	64	22	4	90
Nov 2025	230	47	15	292
Dec 2025	312	86	19	417
Jan 2026	862	57	26	945
Feb 2026	749	44	10	803
Mar 2026	162	88	9	259
Apr 2026	180	89	12	281
May 2026	95	36	22	153
Jun 2026	31	20	4	55

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Total article views: 5,517 (including HTML, PDF, and XML) Thereof 5,517 with geography defined and 0 with unknown origin.

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Short summary

Earth System Models are the principal tools for scientists to study past, present, and future climate changes. This work investigates the ability of a set of them to represent the observed changes in vegetation, which are vital to estimating the impact of future climate mitigation and adaptation strategies. This study highlights the main limitations in correctly representing vegetation variability. These tools still need further development to improve our understanding of future changes.