摘要
The influences of interannual variability of vegetation LAI on surface temperature are investigated via two ensemble simulations, applying the Community Earth System Model. The interannual LAI, derived from Global Inventory Modeling and Mapping Studies NDVI for the period 1982-2011, and its associated climatological LAI, are used in the two ensemble simulations, respectively.The results show that the signals of the influences, represented as ensemble-mean differences, are generally weaker than the noises of the atmospheric variability, represented as one standard deviation of the ensemble differences. Spatially, the signals are stronger over the tropics compared with the mid-high latitudes. Such stronger signals are contributed by the significant linearity between LAI and surface temperature, which is mainly caused via the influences of LAI on evapotranspiration.The maximum amplitudes of the influences on the interannual variability of surface temperature are high and thus deserve full consideration. However, the mean magnitudes of influences are small because of the small changes in the amplitudes of LAI. This work only investigates the influences of the interannual variability of LAI and does not consider interannual changes in other vegetation characteristics, such as canopy height and fractional cover. Further work involving dynamic vegetation models may be needed to investigate the influences of vegetation variability.
通过两组模式的集合模拟,本论文研究了植被叶面积指数的年际变化对地表温度的影响。结果表明叶面积指数的年际变化的影响信号整体弱于大气变率的噪声。但是,就空间分布而言,热带地区的影响信号强于中高纬度地区。这主要是由于热带地区的叶面积指数通过影响地表蒸散发导致其与地表温度具有显著的线性关系。
基金
supported by the major research projects of the National Natural Science Foundation of China[grant number91230202]
