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Advances in Atmospheric Sciences

, Volume 34, Issue 9, pp 1035–1046 | Cite as

Evaluating common land model energy fluxes using FLUXNET data

  • Xiangxiang Zhang
  • Yongjiu Dai
  • Hongzhi Cui
  • Robert E. Dickinson
  • Siguang Zhu
  • Nan Wei
  • Binyan Yan
  • Hua Yuan
  • Wei Shangguan
  • Lili Wang
  • Wenting Fu
Original Paper

Abstract

Given the crucial role of land surface processes in global and regional climates, there is a pressing need to test and verify the performance of land surface models via comparisons to observations. In this study, the eddy covariance measurements from 20 FLUXNET sites spanning more than 100 site-years were utilized to evaluate the performance of the Common Land Model (CoLM) over different vegetation types in various climate zones. A decomposition method was employed to separate both the observed and simulated energy fluxes, i.e., the sensible heat flux, latent heat flux, net radiation, and ground heat flux, at three timescales ranging from stepwise (30 min) to monthly. A comparison between the simulations and observations indicated that CoLM produced satisfactory simulations of all four energy fluxes, although the different indexes did not exhibit consistent results among the different fluxes. A strong agreement between the simulations and observations was found for the seasonal cycles at the 20 sites, whereas CoLM underestimated the latent heat flux at the sites with distinct dry and wet seasons, which might be associated with its weakness in simulating soil water during the dry season. CoLM cannot explicitly simulate the midday depression of leaf gas exchange, which may explain why CoLM also has a maximum diurnal bias at noon in the summer. Of the eight selected vegetation types analyzed, CoLM performs best for evergreen broadleaf forests and worst for croplands and wetlands.

Key words

model evaluation Common Land Model FLUXNET 

摘 要

陆面模式描述陆地表面与大气之间物质, 能量和动量交换过程, 因其可以为大气环流模式提供准确的下垫面条件而对全球气候变化研究非常重要. 随着人们对天气预报和气候预测精度的需求越来越高, 用观测资料验证和改进陆面模式也逐渐成为提高模式模拟能力的一种重要手段. 本研究利用覆盖不同气候区不同植被类型的 20 个 FLUXNET 站点观测数据检验通用陆面模式(Common Land Model, CoLM)的能量平衡模拟情况. 在对比分析观测和模拟的感热, 潜热, 净辐射和地表热通量时, 采用分解方法将每个观测值或模拟值分解为月平均, 日平均残差和逐时残差三个部分. 综合相关系数(R), 均方根误差(RMSE)和标准化误差(Nbias)对不同时间尺度和不同植被类型的能量通量分析, 结果发现 CoLM 能够很好地模拟 4 个地表能量通量, 其中模拟净辐射最好, 模拟潜热通量好于感热通量; 模式能够很好地模拟能量通量的季节变化, 但在有明显干湿季的站点低估潜热通量, 这可能与模式对干季土壤水的模拟存在缺陷有关; CoLM 在夏季中午产生较大模拟误差, 这很可能是因为 CoLM 不能准确模拟光合午睡现象; 就不同的植被类型而言, CoLM 在所选的 8 种植被类型中的常绿针叶林表现最好.

关键词

模式评估 通用陆面模式 FLUXNET 

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Notes

Acknowledgements

This work was supported by the R&D Special Fund for Nonprofit Industry (Meteorology) (Grant Nos. GYHY200706025, GYHY201206013 and GYHY201306066). We thank the two reviewers for their time and effort to thoroughly review the manuscript. Their suggestions greatly improved the paper.

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Copyright information

© Chinese National Committee for International Association of Meteorology and Atmospheric Sciences, Institute of Atmospheric Physics, Science Press and Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Xiangxiang Zhang
    • 1
  • Yongjiu Dai
    • 2
  • Hongzhi Cui
    • 1
  • Robert E. Dickinson
    • 3
  • Siguang Zhu
    • 1
  • Nan Wei
    • 1
  • Binyan Yan
    • 3
  • Hua Yuan
    • 2
  • Wei Shangguan
    • 2
  • Lili Wang
    • 1
  • Wenting Fu
    • 3
  1. 1.College of Global Change and Earth System ScienceBeijing Normal UniversityBeijingChina
  2. 2.School of Atmospheric SciencesSun Yat-sen UniversityGuangzhouChina
  3. 3.Department of Geological Sciencesthe University of Texas at AustinAustinUSA

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