基于多源卫星遥感的高分辨率全球碳同化系统研究

发布时间：2018-03-08 16:10

本文选题：协同反演　切入点：联合同化　出处：《地球科学进展》2016年11期 　论文类型：期刊论文

【摘要】：2016年4月签署的"巴黎协定"的目标是到21世纪下半叶全球人为碳排放与生态系统碳汇持平,为了实现这一目标需要精确计量全球不同地区的碳通量,而全球碳同化系统是有效的技术手段。为此,国家科学技术部在"十三五"期间部署的国家重点研发计划"全球变化及应对"专项资助了"基于多源卫星遥感的高分辨率全球碳同化系统研究"项目。将发展生物圈和大气圈关键参数多源遥感协同反演技术体系、多源卫星与地面观测数据联合碳同化算法,进而建立耦合生态系统模型的高分辨率全球碳同化系统,联合同化多源观测数据,优化生态系统模型关键参数、光合和呼吸碳通量、重点区域人为源碳通量,定量揭示全球陆地生态系统和重点区域人为源碳通量时空格局、生态系统碳源汇驱动机制,为全球变化与应对专项目标的实现和国家决策提供技术与数据支持。
[Abstract]:In order to achieve the Paris Agreement of April 2016, which aims to achieve global anthropogenic carbon emissions equal to ecosystem carbon sinks by the second half of 21th century, the precise measurement of carbon fluxes in different parts of the globe is required, And the global carbon assimilation system is an effective technology. The National key R & D Plan "Global change and response", deployed by the State Ministry of Science and Technology during the 13th Five-Year Plan, has funded the project "High Resolution Global carbon assimilation system Research based on Multi-source Satellite remote Sensing". Multi-source remote sensing cooperative inversion system for key parameters of biosphere and atmosphere, Multi-source satellite and ground observation data are combined with carbon assimilation algorithm, and then a high-resolution global carbon assimilation system coupled with ecosystem model is established. The key parameters of ecosystem model, photosynthesis and respiration carbon flux, are optimized by combining assimilation of multi-source observation data. The carbon fluxes from anthropogenic sources in key regions reveal quantitatively the temporal and spatial patterns of anthropogenic carbon fluxes in global terrestrial ecosystems and key regions, and the driving mechanism of carbon sources and sinks in ecosystems. Provide technical and data support for the achievement of global change and response goals and national decision-making.
【作者单位】：江苏省地理信息技术重点实验室南京大学国际地球系统科学研究所;中国科学院地理科学与资源研究所;中国科学院大气物理研究所;北京大学城市与环境科学学院;南京大学地理与海洋科学科学学院;南京大学大气科学学院;南京大学环境学院;国家卫星气象中心;北京师范大学全球变化与地球系统科学学院;
【基金】：国家重点研发计划项目“基于多源卫星遥感的高分辨率全球碳同化系统研究”(编号:2016YFA0600200)资助~~
【分类号】：X87

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