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Plant Phenology Evaluation of CRESCENDO Land Surface Models–Part 1: Start and End of the Growing SeasonPlant phenology plays a fundamental role in land–atmosphere interactions, and its variability and variations are an indicator of climate and environmental changes. For this reason, current land surface models include phenology parameterizations and related biophysical and biogeochemical processes. In this work, the climatology of the beginning and end of the growing season, simulated by the land component of seven state-of-the-art European Earth system models participating in the CMIP6, is evaluated globally against satellite observations. The assessment is performed using the vegetation metric leaf area index and a recently developed approach, named four growing season types. On average, the land surface models show a 0.6-month delay in the growing season start, while they are about 0.5 months earlier in the growing season end. The difference with observation tends to be higher in the Southern Hemisphere compared to the Northern Hemisphere. High agreement between land surface models and observations is exhibited in areas dominated by broadleaf deciduous trees, while high variability is noted in regions dominated by broadleaf deciduous shrubs. Generally, the timing of the growing season end is accurately simulated in about 25 % of global land grid points versus 16 % in the timing of growing season start. The refinement of phenology parameterization can lead to better representation of vegetation-related energy, water, and carbon cycles in land surface models, but plant phenology is also affected by plant physiology and soil hydrology processes. Consequently, phenology representation and, in general, vegetation modelling is a complex task, which still needs further improvement, evaluation, and multi-model comparison.
Document ID
20210014157
Acquisition Source
Ames Research Center
Document Type
Reprint (Version printed in journal)
Authors
Daniele Peano ORCID
(Euro-Mediterranean Center for Climate Change Lecce, Italy)
Deborah Hemming
(Met Office Exeter, United Kingdom)
Stefano Materia
(Euro-Mediterranean Center for Climate Change Lecce, Italy)
Christine Delire ORCID
(Centre National de Recherches Météorologiques Toulouse, France)
Yuanchao Fan
(Norwegian Centre for Research Data Bergen, Norway)
Emilie Joetzjer
(Centre National de Recherches Météorologiques Toulouse, France)
Hanna Lee ORCID
(Norwegian Centre for Research Data Bergen, Norway)
Julia E. M. S. Nabel ORCID
(Max Planck Institute for Meteorology Hamburg, Germany)
Taejin Park
(Bay Area Environmental Research Institute Petaluma, California, United States)
Philippe Peylin
(Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette, France)
David Wårlind ORCID
(Lund University Lund, Sweden)
Andy Wiltshire
(Met Office Exeter, United Kingdom)
Sönke Zaehle ORCID
(Max Planck Institute for Biogeochemistry Jena, Germany)
Date Acquired
April 21, 2021
Publication Date
April 16, 2021
Publication Information
Publication: Biogeosciences
Publisher: Copernicus Publications on behalf of the European Geosciences Union
Volume: 18
Issue: 7
Issue Publication Date: April 1, 2021
ISSN: 1726-4170
e-ISSN: 1726-4189
URL: https://bg.copernicus.org/articles/18/2405/2021/
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
CONTRACT_GRANT: NNX12AD05A
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
Phenology
CRESCENDO
Land Surface Model
remote sensing
leaf area index (LAI)
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