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| Titel |
The Yale Interactive terrestrial Biosphere model version 1.0: description, evaluation and implementation into NASA GISS ModelE2 |
| VerfasserIn |
X. Yue, N. Unger |
| 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. 8 ; Nr. 8, no. 8 (2015-08-05), S.2399-2417 |
| Datensatznummer |
250116499
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| Publikation (Nr.) |
 copernicus.org/gmd-8-2399-2015.pdf |
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| Zusammenfassung |
| The land biosphere, atmospheric chemistry and climate are intricately
interconnected, yet the modeling of carbon–climate and chemistry–climate
interactions have evolved as entirely separate research communities. We
describe the Yale Interactive terrestrial
Biosphere (YIBs) model version 1.0, a land carbon cycle
model that has been developed for coupling to the NASA Goddard Institute for
Space Studies (GISS) ModelE2 global chemistry–climate model. The YIBs model
adapts routines from the mature TRIFFID (Top-down Representation of Interactive Foliage
and Flora Including Dynamics) and CASA (Carnegie–Ames–Stanford Approach) models to simulate
interactive carbon assimilation, allocation, and autotrophic and
heterotrophic respiration. Dynamic daily leaf area index is simulated based
on carbon allocation and temperature- and drought-dependent prognostic
phenology. YIBs incorporates a semi-mechanistic ozone vegetation damage
scheme. Here, we validate the present-day YIBs land carbon fluxes for three
increasingly complex configurations: (i) offline local site level, (ii)
offline global forced with WFDEI (WATCH Forcing Data methodology applied to
ERA-Interim data) meteorology, and (iii) online coupled to the NASA ModelE2
(NASA ModelE2-YIBs). Offline YIBs has hourly and online YIBs has
half-hourly temporal resolution. The large observational database used for
validation includes carbon fluxes from 145 flux tower sites and multiple
satellite products. At the site level, YIBs simulates reasonable seasonality
(correlation coefficient R > 0.8) of gross primary productivity
(GPP) at 121 out of 145 sites with biases in magnitude ranging from −19
to 7 % depending on plant functional type. On the global scale, the
offline model simulates an annual GPP of 125 ± 3 Pg C and net ecosystem exchange (NEE) of −2.5 ± 0.7 Pg C for
1982–2011, with seasonality and spatial distribution consistent with the
satellite observations. We assess present-day global ozone vegetation damage
using the offline YIBs configuration. Ozone damage reduces global GPP by
2–5 % annually with regional extremes of 4–10 % in east Asia. The
online model simulates annual GPP of 123 ± 1 Pg C and NEE of
−2.7 ± 0.7 Pg C. NASA ModelE2-YIBs is a useful new tool to investigate
coupled interactions between the land carbon cycle, atmospheric chemistry,
and climate change. |
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