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dc.contributor.authorPeano, Daniele
dc.contributor.authorHemming, Deborah
dc.contributor.authorMateria, Stefano
dc.contributor.authorDelire, Christine
dc.contributor.authorFan, Yuanchao
dc.contributor.authorJoetzjer, Emilie
dc.contributor.authorLee, Hanna
dc.contributor.authorNabel, Julia
dc.contributor.authorPark, Taejin
dc.contributor.authorPeylin, Philippe
dc.contributor.authorWärlind, David
dc.contributor.authorWiltshire, Andy
dc.contributor.authorZaehle, Sönke
dc.date.accessioned2024-07-03T09:30:06Z
dc.date.available2024-07-03T09:30:06Z
dc.date.created2021-08-18T17:12:36Z
dc.date.issued2021
dc.identifier.citationBiogeosciences. 2021, 18 (7), 2405-2428.en_US
dc.identifier.issn1726-4170
dc.identifier.urihttps://hdl.handle.net/11250/3137662
dc.description.abstractPlant 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.en_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titlePlant phenology evaluation of CRESCENDO land surface models-Part 1: Start and end of the growing seasonen_US
dc.title.alternativePlant phenology evaluation of CRESCENDO land surface models-Part 1: Start and end of the growing seasonen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.rights.holder© Author(s) 2021en_US
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.5194/bg-18-2405-2021
dc.identifier.cristin1927061
dc.source.journalBiogeosciencesen_US
dc.source.volume18en_US
dc.source.issue7en_US
dc.source.pagenumber2405-2428en_US
dc.relation.projectEC/H2020/641816en_US


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal