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Climate-Vegetation Interannual Variability in a Coupled Atmosphere-Ocean-Land Model

机译:气-海-陆耦合模型中的气候-植被年际变化

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摘要

The coupled models of both the Global Ocean-Atmosphere-Land System (GOALS) and the AtmosphereVegetation Interaction Model (GOALS-AVIM) are used to study the main characteristics of interannual variations. The simulated results are also used to investigate some significant interannual variability and correlation analysis of the atmospheric circulation and terrestrial ecosystem. By comparing the simulations of the climate model GOALS-AVIM and GOALS, it is known that the simulated results of the interannual variations of the spatial and temporal distributions of the surface air temperatures and precipitation are generally improved by using AVIM in GOALS-AVIM. The interannual variation displays some distinct characteristics of the geographical distribution. Both the Net Primary Production (NPP) and the Leap Area Index (LAI) have quasi 1-2-year cycles. Meanwhile, precipitation and the surface temperatures have 2-4-year cycles. Conditions when the spectrum density values of GOALS are less than those of GOALS-AVIM, tell us that the model coupled with AVIM enhances the simulative capability for interannual variability and makes the annual cycle variability more apparent. Using Singular Value Decomposition (SVD) analysis, the relationship between the ecosystem and the atmospheric circulation in East Asia is explored. The result shows that the strengthening and weakening of the East Asian monsoon, characterized by the geopotential heights at 500 hPa and the wind fields at 850 hPa, correspond to the spatiotemporal pattern of the NPP. The correlation between NPP and the air temperature, precipitation and solar radiation are different in interannual variability because of the variation in vegetation types.
机译:全球海洋-大气-土地系统(GOALS)和大气-植被相互作用模型(GOALS-AVIM)的耦合模型用于研究年际变化的主要特征。模拟结果还用于调查大气环流和陆地生态系统的一些重要的年际变化和相关性分析。通过比较气候模型GOALS-AVIM和GOALS的模拟,可以知道,在GOALS-AVIM中使用AVIM通常可以改善地表空气温度和降水的时空分布的年际变化的模拟结果。年际变化显示了地理分布的一些独特特征。净初级生产(NPP)和跳跃面积指数(LAI)都具有大约1至2年的周期。同时,降水和地表温度有2-4年的周期。当GOALS的频谱密度值小于GOALS-AVIM的频谱密度时,可以告诉我们,与AVIM耦合的模型增强了年际变化的模拟能力,并使年度周期变化更加明显。利用奇异值分解(SVD)分析,探讨了东亚生态系统与大气环流之间的关系。结果表明,东亚季风的增强和减弱以500 hPa的地势高度和850 hPa的风场为特征,与NPP的时空格局相对应。由于植被类型的变化,NPP与气温,降水和太阳辐射之间的相关性在年际变化中有所不同。

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  • 来源
    《大气科学进展(英文版)》 |2009年第3期|599-612|共14页
  • 作者单位

    Nanjing University of Information Science and Technology, Nanjing 210044;

    The National Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 10002;

    Nanjing University of Information Science and Technology, Nanjing 210044;

    START Regional Center for Temperate East Asia and Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;

    The National Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;

    The State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;

    The National Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 大气科学(气象学);
  • 关键词

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