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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >Global Variability of Simulated and Observed Vegetation Growing Season
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Global Variability of Simulated and Observed Vegetation Growing Season

机译：模拟和观察植被生长季节的全局变异性

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Vegetation phenology and its variability have substantial influence on land-atmosphere interaction, and changes in growing season length are additional indicators of climate change impacts on ecosystems. For these reasons, global land surface models are routinely evaluated in order to assess their ability to reproduce the observed phenological variability. In this work, we present a new approach that integrates a wider spectrum of growing season modes, in order to better describe the observed variability in vegetation growing season onset and offset, as well as assess the ability of state-of-the-art land surface models to capture this variability at the global scale. The method is applied to the Community Land Model version 4.5 (CLM4.5) simulations and LAI3g satellite observation. The comparison between data and model outputs shows that CLM4.5 is capable of reproducing the growing season features in the Northern Hemisphere midlatitude and high latitude, but also displays its limitations in areas where water availability acts as the main driver of vegetation phenological activity. Besides, the new approach allows evaluating land surface models in capturing multigrowing-season phenology. In this regard, CLM4.5 proves its ability in reproducing the two-growing-season cycles in the Horn of Africa. In general, the new methodology expands the area of analysis from northern midlatitude and high latitude to the global continental areas and allows to assess the vegetation response to the ongoing climate change in a larger variety of ecosystems, ranging from semiarid regions to rain forests, passing through temperate deciduous and boreal evergreen forests.
机译：植被候选及其可变性对土地 - 大气相互作用的影响很大，而且生长季节的变化是对生态系统影响的气候变化影响的额外指标。由于这些原因，常规评估全球陆地表面模型以评估其再现观察到的酚类变异性的能力。在这项工作中，我们提出了一种新的方法，可以集成更广泛的生长季节模式，以便更好地描述植被生长季节发病和偏移的观察到的可变性，以及评估最先进的土地的能力表面模型以在全球范围内捕获这种变异性。该方法应用于社区土地模型4.5（CLM4.5）模拟和LAI3G卫星观察。数据和模型输出之间的比较表明，CLM4.5能够再现北半球中位和高纬度的生长季节特征，但也显示出其在水可用性作为植被素质活动的主要驱动器的区域的限制。此外，新方法允许评估捕获多元季候选的土地表面模型。在这方面，CLM4.5证明了其能力在非洲角复制两种生长季节周期。在一般情况下，新方法扩大从北部中纬度和高纬度分析领域的全球大陆地区，并允许评估植被响应更多样化的生态系统正在发生的气候变化，从半干旱地区到热带雨林，路过通过温带落叶和北方常绿森林。

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