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| Titel |
Using atmospheric observations to evaluate the spatiotemporal variability of CO2 fluxes simulated by terrestrial biospheric models |
| VerfasserIn |
Y. Fang, A. M. Michalak, Y. P. Shiga, V. Yadav |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 11, no. 23 ; Nr. 11, no. 23 (2014-12-11), S.6985-6997 |
| Datensatznummer |
250117730
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| Publikation (Nr.) |
 copernicus.org/bg-11-6985-2014.pdf |
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| Zusammenfassung |
| Terrestrial biospheric models (TBMs) are used to extrapolate local
observations and process-level understanding of land-atmosphere carbon
exchange to larger regions, and serve as predictive tools for examining
carbon-climate interactions. Understanding the performance of TBMs is thus
crucial to the carbon cycle and climate science communities. In this study,
we present and assess an approach to evaluating the spatiotemporal patterns,
rather than aggregated magnitudes, of net ecosystem exchange (NEE) simulated
by TBMs using atmospheric CO2 measurements. The approach is based on
statistical model selection implemented within a high-resolution atmospheric
inverse model. Using synthetic data experiments, we find that current
atmospheric observations are sensitive to the underlying spatiotemporal flux
variability at sub-biome scales for a large portion of North America, and
that atmospheric observations can therefore be used to evaluate simulated
spatiotemporal flux patterns as well as to differentiate between multiple
competing TBMs. Experiments using real atmospheric observations and four
prototypical TBMs further confirm the applicability of the method, and
demonstrate that the performance of TBMs in simulating the spatiotemporal
patterns of NEE varies substantially across seasons, with best performance
during the growing season and more limited skill during transition seasons.
This result is consistent with previous work showing that the ability of TBMs
to model flux magnitudes is also seasonally-dependent. Overall, the proposed
approach provides a new avenue for evaluating TBM performance based on
sub-biome-scale flux patterns, presenting an opportunity for assessing and
informing model development using atmospheric observations. |
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