陆地植被水碳通量模型模拟与数据同化研究进展  

Research advances in model simulation and data assimilation of water and carbon fluxes in land surface vegetation

作　　者：樊华烨 李英 张廷龙[1] 高焕霖 呼帅 FAN Hua-ye;LI Ying;ZHANG Ting-long;GAO Huan-lin;HU Shuai(College of Natural Resources and Environmental Sciences,Northwest A&F University,Yangling 712100,Shaanxi,China)

机构地区：[1]西北农林科技大学资源环境学院,陕西杨凌712100

出　　处：《应用生态学报》2020年第6期2098-2108,共11页Chinese Journal of Applied Ecology

基　　金：国家自然科学基金项目(41301451);中央高校基本科研业务费项目(2452018144)资助。

摘　　要：精确估算水碳通量对陆地水碳循环研究意义重大,同时也极具挑战性。目前的估算精度有待进一步提高。传统的模型模拟和站点观测两种估算方法各有优势和不足,二者需结合进行研究。数据同化将观测融合到基于物理规律的模型中,尽可能得到模型状态变量和参数的最优估计,为模型和观测的结合提供了一条有效的途径。本文追踪陆地植被水碳通量过程模型与多源观测信息数据同化的研究进展;从植被水碳通量过程模型、数据同化算法、水碳通量模型数据同化3方面梳理了国内外相关研究进展,总结了研究中可能存在的问题:多源观测数据协同不足、同化策略相对简单、同化模型缺乏融合、同化尺度有待扩展;并从同化策略、模型选择、数据扩展、尺度效应、科学计算5个方面对今后的发展方向和趋势进行了分析和展望,以期为该领域研究者提供较全面的背景资料和信息,同时引发更多学者的关注。Accurately estimating water and carbon fluxes is of great significance for the research in land surface water and carbon cycles.However,it is very challenging.The estimation accuracy needs further improvement.Both traditional model simulation and site observation methods have advantages and disadvantages,which need to be examined in combination.Data assimilation integrates observations into models based on physics laws to obtain the optimal estimates of model state variables and parameters as much as possible,and provides an effective way for their combination.In this review,we traced the research progress for process models assimilated with multi-source observational data of land surface water carbon fluxes and analyzed the domestic and foreign research status of land surface process models focused on water carbon fluxes,data assimilation algorithms,and assimilation of land surface carbon flux data.We summaried problems in this research area,including insufficient coordination of multi-source observation data,relatively simple assimilation strategy,lacking fusion of assimilation models,and limited assimilation scale.The future development directions and trends were analyzed and prospected from five aspects,including assimilation strategy,model selection,data expansion,scale effect,and scientific calculation.This work would provide more comprehensive background information for scholars in this field,and arouse common concerns.

关 键 词：数据同化 水碳通量 生态过程模型 遥感 

分 类 号：Q948[生物学—植物学]