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Simulation of forest carbon fluxes over greater khingan

机译:大兴安岭森林碳通量的模拟

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Simulation of forest carbon fluxes over Greater Khingan based on strategy of model integration and data assimilation from 2000 to 2012 was conducted in this study. Original MODIS MOD_17 GPP (MOD_17) model was optimized over Greater Khingan using downscaled meteorological data, optimized light use efficiency, and refined GLASS fPAR products. Afterwards, representative forest plots for different forest types were selected for the integration of the optimized MOD_17 model and Biome-BioGeochemical Cycles (Biome-BGC) model. Through the model integration, the process-based model (Biome-BGC) was calibrated and then was applied to simulate the forest carbon fluxes over Greater Khingan. Meanwhile, time-series refined 8-day Global LAnd Surface Satellite (GLASS) LAI were assimilated into the calibrated Biome-BGC to improve the model performances and alleviated the uncertainties. Forest carbon fluxes (GPP, NPP, NEE) were estimated over Greater Khingan from 2000 to 2012 and NPP estimates were validated using tree ring data. Lastly, spatial statistics and trend analysis of NPP were carried out, and results showed that NPP tended to slightly increase during the study years.
机译:本研究基于模型整合和数据同化策略,对2000年至2012年大兴安岭地区的森林碳通量进行了模拟。原始MODIS MOD_17 GPP(MOD_17)模型使用缩小的气象数据,优化的光利用效率和精致的GLASS fPAR产品在大兴安那州进行了优化。之后,选择不同森林类型的代表性林区,以整合优化的MOD_17模型和生物群落-生物地球化学循环(Biome-BGC)模型。通过模型集成,对基于过程的模型(Biome-BGC)进行了校准,然后应用于模拟大兴安岭上的森林碳通量。同时,将经过时间序列精化的8天全球陆地和地面卫星(GLASS)LAI同化为经过校准的Biome-BGC,以改善模型性能并减轻不确定性。在2000年至2012年期间,对大兴安岭地区的森林碳通量(GPP,NPP,NEE)进行了估算,并使用年轮数据验证了NPP估算值。最后,对NPP进行了空间统计和趋势分析,结果表明在研究年中NPP有小幅增长的趋势。

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