基于多源卫星遥感的高分辨率全球碳同化系统研究

doi:10.11867/j.issn.1001-8166.2016.11.1105

地球科学进展 ›› 2016, Vol. 31 ›› Issue (11): 1105 -1110. doi: 10.11867/j.issn.1001-8166.2016.11.1105

居为民 ¹(

), 方红亮 ², 田向军 ³, 江飞 ¹, 占文凤 ¹, 刘洋 ², 王正兴 ², 何剑锋 ², 王绍强 ², 彭书时 ⁴, 张永光 ¹, 周艳莲 ⁵, 贾炳浩 ³, 杨东旭 ³, 符瑜 ³, 李荣 ³, 柳竟先 ⁶, 王海鲲 ⁷, 李贵才 ⁸, 陈卓奇 ⁹

1.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,江苏南京 210023
2.中国科学院地理科学与资源研究所,北京 100101
3.中国科学院大气物理研究所,北京 100029
4.北京大学城市与环境科学学院,北京 100871
5.南京大学地理与海洋科学科学学院,江苏南京 210023
6.南京大学大气科学学院,江苏南京 210023
7.南京大学环境学院,江苏南京 210023
8.国家卫星气象中心,北京 100081
9.北京师范大学全球变化与地球系统科学学院,北京 100875

收稿日期:2016-09-21 修回日期:2016-11-01 出版日期:2016-11-20
基金资助:
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

Study on the Global Carbon Assimilation System Based on Multisource Remote Sensing Data

Weimin Ju ¹( ), Hongliang Fang ², Xiangjun Tian ³, Fei Jiang ¹, Wenfeng Zhan ¹, Yang Liu ², Zhengxing Wang ², Jianfeng He ², Shaoqiang Wang ², Shushi Peng ⁴, Yongguang Zhang ¹, Yanlian Zhou ⁵, Binghao Jia ³, Dongxu Yang ³, Yu Fu ³, Rong Li ³, Jingxian Liu ⁶, Haikun Wang ⁷, Guicai Li ⁸, Zhuoqi Chen ⁹

1.Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Sciences, Nanjing University, Nanjing 210023, China
2.Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
3.Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
4.College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
5.School of Geographic and Oceanographic, Nanjing University, Nanjing 210023, China
6.School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
7.School of the Environment, Nanjing University, Nanjing 210023, China
8. National Satellite Meteorological Centre, Beijing 100081, China
9.College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China

Received:2016-09-21 Revised:2016-11-01 Online:2016-11-20 Published:2016-11-20
About author:
First author:Ju Weimin(1963-), male, Haian County, Jiangsu Province, Professor. Research areas include global change.E-mail:juweimin@nju.edu.cn
Supported by:
Project supported by the National Key Research and Development Program of China“Study on the global carbon assimilation system based on multisource remote sensing data under the national key research and development programs for global change and adaptation”(No.2016YFA0600200)

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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。

关键词: 协同反演, 联合同化, 碳同化系统, 时空格局

The Paris agreement signed in April, 2016 aims to balance global anthropogenic carbon emissions and terrestrial carbon sinks by the middle of the 21^st century. To fulfill this goal, it is necessary to calculate carbon fluxes of different regions reliably. The global carbon assimilation system is an effective technique for achieving this goal. The Ministry of Science and Technology of China supports the project entitled as study on the global carbon assimilation system based on multisource remote sensing data through the national key research and development programs for global change and adaptation during the thirteen-five period. This project will develop synergic inversion techniques for retrieving key parameters of biological and atmospheric cycles and for assimilating multisource remote sensing and ground based data. Then, the high resolution global carbon assimilation system coupled with an ecological model will be constructed. This system is able to assimilate jointly multisource observation data and to optimize key model parameters, photosynthesis and respiration carbon fluxes of global terrestrial ecosystems, and anthropogenic carbon emission fluxes of key regions. This system will be used to study quantitatively the spatial and temporal patterns of carbon fluxes of global terrestrial ecosystems and anthropogenic carbon emission fluxes of key regions and to identify the mechanisms driving the global terrestrial carbon sinks and sources. The outputs of this study will be helpful for the fulfillment of the key research and development programs for global change and adaptation and provide valuable data and technical support for the decision-making in China.

Key words: Synergic Inversion, Joint Assimilation, Carbon Assimilation System, Spatial and temporal patterns.

中图分类号:

P963

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