基于南京大学碳同化系统(NUCAS)的羰基硫、日光诱导叶绿素荧光与土壤水分联合同化研究  

Study on Joint Assimilation of Carbonyl Sulfide,Sun Induced Chlorophyll Fluorescence and Soil Moisture based on Nanjing University Carbon Assimilation System(NUCAS)

作　　者：朱华杰 吴谋松 江飞[1,2,3] ZHU Huajie;WU Mousong;JIANG Fei(International Institute for Earth System Science,Nanjing University,Nanjing 210023,China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China;Frontiers Science Center for Critical Earth Material Cycling,Nanjing University,Nanjing 210023,China)

机构地区：[1]南京大学国际地球系统科学研究所,江苏南京210023 [2]江苏省地理信息资源开发与利用协同创新中心,江苏南京210023 [3]南京大学关键地球物质循环前沿科学中心,江苏南京210023

出　　处：《遥感技术与应用》2024年第6期1392-1403,共12页Remote Sensing Technology and Application

基　　金：国家重点研发计划项目(2023YFB3907402);国家自然科学基金项目(42371486、42377102);关键地球物质循环前沿科学中心项目(0209-14380115、0904-14380030)。

摘　　要：陆地生态系统模型是研究全球碳循环与气候变化之间复杂反馈机制的重要工具。然而,陆地生态系统模型模拟具有很大的不确定性。基于观测数据约束模型参数是实现模型的精确模拟的有效技术手段。为了研究不同观测数据及其组合对陆地生态系统模型参数的约束能力,增进陆地生态系统过程的了解,基于南京大学碳同化系统(Nanjing University Carbon Assimilation System,NUCAS),对羰基硫(Carbonyl Sulfide,COS)、日光诱导叶绿素荧光(Sun Induced Chlorophyll Fluorescence,SIF)及土壤湿度(Soil Moisture,SM)数据进行了同化研究。结果表明:COS、SIF、SM的同化均能够优化植被光合及土壤水文相关参数,增进模型对光合作用过程、蒸腾过程、土壤水文过程等的模拟。三者的联合同化能够有效提高模型对于总初级生产力、潜热通量、显热通量、土壤湿度等的模拟效果。Terrestrial ecosystem models are important tools for investigating the complex feedback mechanisms between the global carbon cycle and climate change.However,terrestrial ecosystem models are subject to great uncertainties.Constraining model parameters based on observational data is an effective technical approach to realize accurate modelling of the terrestrial ecosystem models.In order to investigate the ability of different observations and their combinations to constrain the parameters of terrestrial ecosystem models and to improve the understanding of terrestrial ecosystem processes,the assimilation of Carbonyl Sulfide(COS),Sun Induced chlorophyll Fluorescence(SIF),and Soil Moisture(SM)data were conducted based on the Nanjing University Carbon Assimilation System(NUCAS).Results showed that the assimilation of COS,SIF and SM could optimize the parameters related to plant photosynthesis and soil hydrology,and improve the modelling of photosynthesis,transpiration and soil hydrological processes in the model.The joint assimilation of COS,SIF and SM can effectively improve the performance of the model in modelling total primary productivity,latent heat flux,sensible heat flux and soil moisture.

关 键 词：生态系统模型 碳同化系统 羰基硫 日光诱导叶绿素荧光(SIF) 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]