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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Improving Land Surface Temperature Simulation in CoLM Over the Tibetan Plateau Through Fractional Vegetation Cover Derived From a Remotely Sensed Clumping Index and Model-Simulated Leaf Area Index
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Improving Land Surface Temperature Simulation in CoLM Over the Tibetan Plateau Through Fractional Vegetation Cover Derived From a Remotely Sensed Clumping Index and Model-Simulated Leaf Area Index

机译：通过远程感测丛指数和模型模拟叶面积指数的分数植被覆盖，改善藏高原COLM中的陆地表面温度模拟

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摘要

Parameterizations of fractional vegetation cover (FVC) in land surface models have important effects on simulations of surface energy budget, especially in arid and semiarid regions. This study uses a FVC scheme in which FVC is derived from leaf area index and a remotely sensed clumping index. The performance of the new scheme (SMFVC) is evaluated against Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) and in situ soil temperature observations, together with two other FVC schemes, a general FVC scheme (CTL) based on land cover map and a climatology-based FVC scheme (RSFVC) that uses long-term remotely sensed Normalized Difference Vegetation Index of MODIS. The three FVC schemes were implemented in the Common Land Model (CoLM) and applied in the Tibetan Plateau using the same forcing data and default parameters. Our results demonstrate that FVC schemes have significant influence on the CoLM performance: (1) the RSFVC and SMFVC schemes significantly reduce the LST biases found in CTL, particularly in grassland and during summer; (2) soil temperature evaluation by in situ observations from three networks on the Tibetan Plateau corroborates the LST results; and (3) the improvements are mainly related to representing temporal (seasonal) variability and subgrid heterogeneity of FVC, which improves surface albedo and surface energy balance. In other words, by including more vegetation characteristics, such as using a clumping index, land surface models may better simulate surface vegetation condition and further better represent the land surface energy budget over the Tibetan Plateau.
机译：陆地表面模型分数植被覆盖（FVC）参数化对表面能预算模拟的重要影响，特别是在干旱和半干旱地区。该研究使用FVC方案，其中FVC来自叶面积指数和远程感测的丛集指数。对新方案（SMFVC）的性能进行评估对适度分辨率的成像光谱辐射计（MODIS）陆表面温度（LST）和原位土壤温度观察，以及基于陆地覆盖的一般FVC方案（CTL）的其他FVC方案。地图和基于气候的FVC方案（RSFVC）使用了MODIS的长期远程感测的归一化差异植被指数。三种FVC方案是在共同的土地模型（COLM）中实施，并使用相同的迫使数据和默认参数应用在藏高原中。我们的结果表明，FVC方案对COLM性能产生了重大影响：（1）RSFVC和SMFVC方案显着减少CTL中发现的LST偏差，特别是在草地和夏季; （2）土壤温度评估通过藏高高原的三个网络的原位观察证实了LST结果; （3）改进主要与代表FVC的时间（季节性）变异性和亚底填充异质性有关，其改善了表面反照和表面能平衡。换句话说，通过包括更多植被特性，例如使用丛生指数，地面模型可以更好地模拟表面植被状况，并进一步更好地代表藏高原的土地表面能预算。

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    Chengwei Li; Hui Lu; L. Ruby Leung; Kun Yang; Hongyi Li; Wei Wang; Menglei Han; Yingying Chen;

  • 作者单位

    Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Tsinghua University Beijing China;

    Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Tsinghua University Beijing China;

    Pacific Northwest National Laboratory Richland WA USA;

    Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Tsinghua University Beijing China;

    Now at Department of Civil and Environmental Engineering University of Houston Houston TX USA;

    Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Tsinghua University Beijing China;

    Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Tsinghua University Beijing China;

    Key Laboratory of Tibetan Environment Changes and Land Surface Processes Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地球物理学;
  • 关键词

    Improving Land; Surface Temperature; Area Index;

    机译：改善土地;表面温度;区域指数;

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