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| Titel |
Variability of phenology and fluxes of water and carbon with observed and simulated soil moisture in the Ent Terrestrial Biosphere Model (Ent TBM version 1.0.1.0.0) |
| VerfasserIn |
Y. Kim, P. R. Moorcroft, I. Aleinov, M. J. Puma, N. Y. Kiang |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 8, no. 12 ; Nr. 8, no. 12 (2015-12-08), S.3837-3865 |
| Datensatznummer |
250116699
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| Publikation (Nr.) |
 copernicus.org/gmd-8-3837-2015.pdf |
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| Zusammenfassung |
| The Ent Terrestrial Biosphere Model (Ent TBM) is a mixed-canopy dynamic
global vegetation model developed specifically for coupling with land
surface hydrology and general circulation models (GCMs). This study
describes the leaf phenology submodel implemented in the Ent TBM version
1.0.1.0.0 coupled to the carbon allocation scheme of the Ecosystem
Demography (ED) model. The phenology submodel adopts a combination of
responses to temperature (growing degree days and frost hardening), soil
moisture (linearity of stress with relative saturation) and radiation
(light length). Growth of leaves, sapwood, fine roots, stem wood and coarse
roots is updated on a daily basis. We evaluate the performance in
reproducing observed leaf seasonal growth as well as water and carbon fluxes
for four plant functional types at five Fluxnet sites, with both observed
and prognostic hydrology, and observed and prognostic seasonal leaf area
index. The phenology submodel is able to capture the timing and magnitude of
leaf-out and senescence for temperate broadleaf deciduous forest (Harvard
Forest and Morgan–Monroe State Forest, US), C3 annual grassland (Vaira
Ranch, US) and California oak savanna (Tonzi Ranch, US). For evergreen
needleleaf forest (Hyytiäla, Finland), the phenology submodel captures
the effect of frost hardening of photosynthetic capacity on seasonal fluxes
and leaf area. We address the importance of customizing parameter sets of
vegetation soil moisture stress response to the particular land surface
hydrology scheme. We identify model deficiencies that reveal important
dynamics and parameter needs. |
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