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The regional scale impact of land cover change simulated with a climate model

机译:气候模型模拟的土地覆盖变化对区域规模的影响

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A series of 17-year integrations using the NCAR CCM3 (at about 2.8° * 2.8° resolution) were performed to investigate the regional-scale impact of land cover change. Our aim was to determine the impact of historical land cover change on the regional-scale climate over the regions where most change occurred: Europe, India and China. The change from natural to current land cover was estimated using BIOME3 to predict the natural vegetation type, and then using remotely sensed data to estimate the locations where land cover had been changed through human activity. Results show statistically significant changes in the 15-year averaged 1000 hPa wind field, mean near-surface air temperature, maximum near-surface air temperature and the latent heat flux over the regions where land cover change was imposed. These changes disappeared if the land cover over a particular region was omitted, indicating that our results cannot be explained by model variability. An analysis of changes on an averaged monthly time scale showed large changes in the maximum daily temperature in (Northern Hemisphere) summer and little change in the minimum daily temperature, resulting in changes in the diurnal temperature range. The change in the diurnal temperature range could be positive or negative depending on region, time of year and the precise nature of the land cover changes. Our results indicate that the inclusion of land cover change scenarios in simulations of the 20th century may lead to improved results. The impact of land cover changes on regional climates also provides support for the inclusion of land surface models that can represent future land cover changes resulting form an ecological response to natural climate variability or increasing carbon dioxide.
机译:使用NCAR CCM3(约2.8°* 2.8°分辨率)进行了一系列长达17年的整合,以调查土地覆盖变化对区域规模的影响。我们的目的是确定历史土地覆被变化对变化最大的地区(欧洲,印度和中国)的影响。利用BIOME3估算了自然植被的变化,以预测自然植被的类型,然后使用遥感数据估算由于人类活动而改变了土地覆盖的位置。结果表明,在施加土地覆盖变化的区域中,这15年平均1000 hPa风场,平均近地表气温,最大近地表气温和潜热通量具有统计学意义的变化。如果忽略了特定区域的土地覆盖,这些变化将消失,这表明我们的结果无法用模型可变性来解释。对平均每月时间尺度变化的分析表明,(北半球)夏季的最高日温度变化较大,而最低日温度变化很小,从而导致昼夜温度范围发生变化。昼夜温度范围的变化可能是正值,也可能是负值,具体取决于区域,一年中的时间以及土地覆盖的确切性质。我们的结果表明,在20世纪的模拟中纳入土地覆被变化方案可能会改善结果。土地覆盖变化对区域气候的影响也为包括可以代表未来土地覆盖变化的地表模型提供了支持,该模型是对自然气候变化或二氧化碳增加的生态反应所导致的。

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