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  • 标题:Parameterization and sensitivity analysis of a process‐based terrestrial ecosystem model using adjoint method
  • 本地全文:下载
  • 作者:Qing Zhu ; Qianlai Zhuang
  • 期刊名称:Journal of Advances in Modeling Earth Systems
  • 电子版ISSN:1942-2466
  • 出版年度:2014
  • 卷号:6
  • 期号:2
  • 页码:1-17
  • DOI:10.1002/2013MS000241
  • 出版社:John Wiley & Sons, Ltd.
  • 摘要:We developed an adjoint version of a process‐based biogeochemistry model, the Terrestrial Ecosystem Model (TEM). The adjoint model of TEM was then used to: (1) conduct sensitivity studies of net ecosystem production (NEP) for three terrestrial ecosystems: grassland, deciduous broadleaf forest and evergreen needle‐leaf forest; (2) rank the importance of parameters in controlling NEP; (3) optimize the model parameters by assimilating eddy flux data of NEP; and (4) evaluate parameterization by extrapolating optimal parameters to other sites that have the same plant functional type as the calibration sites. We found that: (1) the maximum rate of photosynthesis (CMAX) was the most important parameter in determining NEP, while the importance of the remaining parameters varied depending on plant functional type, suggesting that the same ecosystem process has different degrees of importance in modeling carbon fluxes; (2) the sensitivity of NEP to CMAX had a significant seasonal variability and the control of CMAX on NEP was much larger in growing season (defined as from April to October) than that in nongrowing season (defined as from December to March); and (3) after parameterization, TEM could reasonably reproduce carbon fluxes observed at eddy flux tower sites. This study provided an effective model‐data fusion framework of TEM, which could improve the future quantification of terrestrial ecosystem carbon fluxes at both site and regional levels.
  • 关键词:adjoint method;data assimilation;terrestrial ecosystem modeling;net ecosystem production;carbon cycling
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