SunZhuoSt-OngeEtAl2009
Référence
Sun, J., Zhuo, X., St-Onge, B., McCaughey, H., Berninger, F., Peng, C. (2009) Carbon flux simulation and data assimilation in North America forest ecosystems. In Proceedings of the 2009 American Geophysical Union Joint Assemby.
Résumé
A process-based model, TRIPLEX-Flux, was utilized to estimate net ecosystem production (NEP), as well as analyzing the model's response on parameterization by simulating CO2 flux for forest ecosystems in US and Canada. The research objectives were: (1) to test the TRIPLEX-Flux model simulations against flux tower measurements; (2) to examine the effects of parameter and input variable on model response via parameters optimization in different ecoregions. Field data were assimilated at a 30 min time step and presented as 15- day average. The validation of NEP data at 30 min intervals derived from tower and chamber measurements showed that the modeled NEP data corresponded well with the measured NEP from the forest ecosystem. The optimized parameters varied significantly in different seasons and ecoregions. The key parameters for inter- annual simulation also showed detectable variations. Our preliminary results suggested that parameters optimization improved carbon flux simulation.
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@INPROCEEDINGS { SunZhuoSt-OngeEtAl2009,
AUTHOR = { Sun, J. and Zhuo, X. and St-Onge, B. and McCaughey, H. and Berninger, F. and Peng, C. },
TITLE = { Carbon flux simulation and data assimilation in North America forest ecosystems },
BOOKTITLE = { Proceedings of the 2009 American Geophysical Union Joint Assemby },
YEAR = { 2009 },
ABSTRACT = { A process-based model, TRIPLEX-Flux, was utilized to estimate net ecosystem production (NEP), as well as analyzing the model's response on parameterization by simulating CO2 flux for forest ecosystems in US and Canada. The research objectives were: (1) to test the TRIPLEX-Flux model simulations against flux tower measurements; (2) to examine the effects of parameter and input variable on model response via parameters optimization in different ecoregions. Field data were assimilated at a 30 min time step and presented as 15- day average. The validation of NEP data at 30 min intervals derived from tower and chamber measurements showed that the modeled NEP data corresponded well with the measured NEP from the forest ecosystem. The optimized parameters varied significantly in different seasons and ecoregions. The key parameters for inter- annual simulation also showed detectable variations. Our preliminary results suggested that parameters optimization improved carbon flux simulation. },
OWNER = { Luc },
TIMESTAMP = { 2010.10.01 },
}
