节点文献

Flux Footprint Climatology Estimated by Three Analytical Models of a Subtropical Coniferous Plantation in Southeastern China

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 张慧温学发史奎桥杨扬

【Author】 ZHANG Hui;WEN Xuefa;SHI Kuiqiao;YANG Yang;Jinzhou Ecology and Agriculture Meteorological Center;Key Laboratory of Ecosystem Network Observation and Modeling,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences;

【机构】 Jinzhou Ecology and Agriculture Meteorological CenterKey Laboratory of Ecosystem Network Observation and Modeling,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

【摘要】 Spatial heterogeneity poses a major challenge for the appropriate interpretation of eddy covariance data. The quantification of footprint climatology is fundamental to improve our understanding of carbon budgets, assessing the quality of eddy covariance data, and upscaling the representativeness of a tower flux to regional or global scales. In this study, we elucidated the seasonal variation of flux footprint climatologies and the major factors that influence them using the analytical FSAM, KM, and H models based on eddy covariance measurements at two and three times the canopy height at the Qianyanzhou site of China FLUX in 2003. The differences in footprints among the three models resulted from different underlying theories used to construct the models. An inter-comparison demonstrated that atmospheric stability was the main factor leading to differences among the three models. In neutral and stable conditions, the KM and FSAM values agreed with one another, but were lower than the H values. In unstable conditions, the agreement among the three models for rough surfaces was better than that for smooth surfaces, and the models showed greater agreement for a low measurement height than for a high measurement height. The seasonal flux footprint climatologies were asymmetrically distributed around the tower and corresponded well to the prevailing wind direction, which was north-northwest in winter and south-southeast in summer. The average sizes of the 90% flux footprint climatologies were 0.36–0.74 km~2 and 1.5–3.2 km~2 at altitudes of two and three times the canopy height, respectively. The average sizes were ranked by season as follows: spring > summer > winter > autumn. The footprint climatology clearly depended more on atmospheric stability on a daily scale than on a seasonal scale, and it increased with the increasing standard deviation of the lateral wind fluctuations.

【Abstract】 Spatial heterogeneity poses a major challenge for the appropriate interpretation of eddy covariance data. The quantification of footprint climatology is fundamental to improve our understanding of carbon budgets, assessing the quality of eddy covariance data, and upscaling the representativeness of a tower flux to regional or global scales. In this study, we elucidated the seasonal variation of flux footprint climatologies and the major factors that influence them using the analytical FSAM, KM, and H models based on eddy covariance measurements at two and three times the canopy height at the Qianyanzhou site of China FLUX in 2003. The differences in footprints among the three models resulted from different underlying theories used to construct the models. An inter-comparison demonstrated that atmospheric stability was the main factor leading to differences among the three models. In neutral and stable conditions, the KM and FSAM values agreed with one another, but were lower than the H values. In unstable conditions, the agreement among the three models for rough surfaces was better than that for smooth surfaces, and the models showed greater agreement for a low measurement height than for a high measurement height. The seasonal flux footprint climatologies were asymmetrically distributed around the tower and corresponded well to the prevailing wind direction, which was north-northwest in winter and south-southeast in summer. The average sizes of the 90% flux footprint climatologies were 0.36–0.74 km~2 and 1.5–3.2 km~2 at altitudes of two and three times the canopy height, respectively. The average sizes were ranked by season as follows: spring > summer > winter > autumn. The footprint climatology clearly depended more on atmospheric stability on a daily scale than on a seasonal scale, and it increased with the increasing standard deviation of the lateral wind fluctuations.

  • 【会议录名称】 第33届中国气象学会年会 S5 应对气候变化、低碳发展与生态文明建设
  • 【会议名称】第33届中国气象学会年会
  • 【会议时间】2016-11
  • 【会议地点】中国陕西西安
  • 【分类号】S718.5
  • 【主办单位】中国气象学会
节点文献中: 

本文链接的文献网络图示:

本文的引文网络