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| Titel |
Using model reduction to predict the soil-surface C18OO flux: an example of representing complex biogeochemical dynamics in a computationally efficient manner |
| VerfasserIn |
W. J. Riley |
| 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 ; 6, no. 2 ; Nr. 6, no. 2 (2013-03-12), S.345-352 |
| Datensatznummer |
250017795
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| Publikation (Nr.) |
 copernicus.org/gmd-6-345-2013.pdf |
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| Zusammenfassung |
| Earth system models (ESMs) must calculate large-scale interactions between
the land and atmosphere while accurately characterizing fine-scale spatial
heterogeneity in water, carbon, and other nutrient dynamics. We present here
a high-dimension model representation (HDMR) approach that allows detailed
process representation of a coupled carbon and water tracer (the δ18O
value of the soil-surface CO2 flux (δ Fs)) in a
computationally tractable manner. δ Fs depends on the δ18O value of soil water, soil moisture and temperature, and soil
CO2 production (all of which are depth dependent), and the δ18O value of above-surface CO2. We tested the HDMR approach over
a growing season in a C4-dominated pasture using two vertical soil
discretizations. The difference between the HDMR approach and the full model
solution in the three-month integrated isoflux was less than 0.2%
(0.5 mol m−2 ‰), and the approach is up to 100 times
faster than the full numerical solution. This type of model reduction
approach allows representation of complex coupled biogeochemical processes
in regional and global climate models and can be extended to characterize
subgrid-scale spatial heterogeneity. |
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