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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Anthropogenic land cover changes in a GCM with surface albedo changes based on MODIS data
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Anthropogenic land cover changes in a GCM with surface albedo changes based on MODIS data

机译:基于MODIS数据的GCM的人为土地覆盖变化与地表反照率变化

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This study uses a global climate model (GCM) to investigate the climate response at the surface and in the atmosphere caused by land use change. The climate simulations are performed with the National Center for Atmospheric Research Community Land Model 3.5 (CLM3.5) coupled to the Community Atmosphere Model 3 (CAM3) and a slab ocean model. We use the Moderate Resolution Imaging Spectroradiometer (MODIS) surface albedo product to represent surface albedo in the CLM3.5 for both present day and to reconstruct the surface albedo for natural pre-agriculture conditions. We compare simulations including vegetation changes and surface albedo changes to simulations including only surface albedo changes. We find that the surface albedo change is most dominant in temperate regions while the change in evapotranspiration drives the climate response in the tropics. Our results show that land cover changes contribute to an annual global warming of 0.04 K, but there are large regional differences. In North America and Europe, the surface temperatures decrease by - 0.11 and - 0.09 K, respectively, while in India the surface temperatures increase by 0.09 K. When we fix the vegetation cover in the simulations and let the climate changes be driven only by the differences in surface albedo, the annual global mean surface warming is reduced, and all three regions are now associated with surface cooling.We also show that the surface albedo value for cropland is of major importance in climate simulations of land cover change. The surface albedo effect is the main driving mechanism when the change in surface albedo between agricultural and natural vegetation is substantial. Finally, we argue that differences in the surface albedo value of cropland implemented in earlier land use change studies explain the diversity in the sign and magnitude of the climate response.
机译:这项研究使用全球气候模型(GCM)来调查由土地利用变化引起的地表和大气中的气候响应。使用国家大气研究中心社区土地模型3.5(CLM3.5),社区大气模型3(CAM3)和平板海洋模型进行气候模拟。我们使用中等分辨率成像光谱仪(MODIS)的表面反照率产品代表CLM3.5中的表面反照率,并用于自然农业前的条件下重建表面反照率。我们将包括植被变化和地表反照率变化的模拟与仅包括地表反照率变化的模拟进行了比较。我们发现,在温带地区,地表反照率变化最为明显,而蒸散量的变化驱动了热带地区的气候响应。我们的结果表明,土地覆被变化导致全球每年变暖0.04 K,但区域差异很大。在北美和欧洲,地表温度分别下降了-0.11和-0.09 K,而在印度,地表温度增加了0.09K。当我们在模拟中固定植被覆盖率时,仅由地表反照率的差异,全球年度平均地表变暖减少,并且这三个地区现在都与地表降温有关。我们还表明,农田的地表反照率值在土地覆盖变化的气候模拟中至关重要。当农业植被和自然植被之间的地表反照率变化很大时,地表反照率效应是主要的驱动机制。最后,我们认为,在早期土地利用变化研究中实施的农田地表反照率值差异解释了气候响应的信号和强度的多样性。

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