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首页> 外文期刊>Journal of Climate >Contrasting Local versus Regional Effects of Land-Use-Change-Induced Heterogeneity on Historical Climate: Analysis with the GFDL Earth System Model
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Contrasting Local versus Regional Effects of Land-Use-Change-Induced Heterogeneity on Historical Climate: Analysis with the GFDL Earth System Model

机译:土地利用变化引起的异质性对历史气候的局部和区域影响的对比:GFDL地球系统模型的分析

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The effects of land-use and land-cover change (LULCC) on surface climate using two ensembles of numerical experiments with the Geophysical Fluid Dynamics Laboratory (GFDL) comprehensive Earth System Model ESM2Mb are investigated in this study. The experiments simulate historical climate with two different assumptions about LULCC: 1) no land-use change with potential vegetation (PV) and 2) with the CMIP5 historical reconstruction of LULCC (LU). Two different approaches were used in the analysis: 1) the authors compare differences in LU and PV climates to evaluate the regional and global effects of LULCC and 2) the authors characterize subgrid climate differences among different land-use tiles within each grid cell in the LU experiment. Using the first method, the authors estimate the magnitude of LULCC effect to be similar to some previous studies. Using the second method, the authors found a pronounced subgrid signal of LULCC in near-surface temperature over majority of areas affected by LULCC. The signal is strongest on croplands, where it is detectable with 95% confidence over 68.5% of all nonglaciated land grid cells in June-July-August, compared to 8.3% in the first method. In agricultural areas, the subgrid signal tends to be stronger than LU-PV signal by a factor of 1.3 in tropics in both summer and winter and by 1.5 in extratropics in winter. This analysis for the first time demonstrates and quantifies the local, subgrid-scale LULCC effects with a comprehensive ESM and compares it to previous global and regional approaches.
机译:本研究利用地球物理流体动力学实验室(GFDL)综合地球系统模型ESM2Mb进行的两个数值实验,研究了土地利用和土地覆盖变化(LULCC)对地表气候的影响。实验以关于LULCC的两个不同假设模拟历史气候:1)没有潜在植被的土地利用变化(PV)和2)LCMC的CMIP5历史重建(LU)。分析中使用了两种不同的方法:1)作者比较了LU和PV气候的差异,以评估LULCC的区域和全球影响; 2)作者描述了每个网格单元内不同土地利用区块之间亚网格的气候差异。 LU实验。使用第一种方法,作者估计LULCC效应的幅度与先前的一些研究相似。使用第二种方法,作者在受LULCC影响的大部分区域的近地表温度中发现了一个明显的LULCC子网格信号。在耕地上,该信号最强,在6月至7月8月的所有非冰川土地网格单元中,有68.5%的信号以95%的置信度被检测到,而第一种方法为8.3%。在农业地区,夏季和冬季在热带地区,亚电网信号往往比LU-PV信号强1.3倍,冬季在温带地区则为1.5。这项分析首次通过全面的ESM展示并量化了局部亚电网规模LULCC的影响,并将其与先前的全球和区域方法进行了比较。

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