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Detecting vegetation-precipitation feedbacks in mid-Holocene North Africa from two climate models

机译:通过两种气候模式检测北全新世中部植被的降水反馈

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Using two climate-vegetation model simulations from the Fast Ocean Atmosphere Model (FOAM) and the Community Climate System Model (CCSM, version 2), we investigate vegetation-precipitation feedbacks across North Africa during the mid-Holocene. From mid-Holocene snapshot runs of FOAM and CCSM2, we detect a negative feedback at the annual timescale with our statistical analysis. Using the Monte-Carlo bootstrap method, the annual negative feedback is further confirmed to be significant in both simulations. Additional analysis shows that this negative interaction is partially caused by the competition between evaporation and transpiration in North African grasslands. Furthermore, we find the feedbacks decrease with increasing timescales, and change signs from positive to negative at increasing timescales in FOAM. The proposed mechanism for this sign switch is associated with the different persistent timescales of upper and lower soil water contents, and their interactions with vegetation and atmospheric precipitation.
机译:利用快速海洋大气模型(FOAM)和社区气候系统模型(CCSM,版本2)的两个气候-植被模型模拟,我们研究了全新世中期北非的植被-降水反馈。从FOAM和CCSM2的全新世中期快照运行中,我们通过统计分析在年度时间范围内检测到负面反馈。使用蒙特卡洛自举法,可以进一步确定年度负反馈在两个模拟中均很重要。进一步的分析表明,这种负面的相互作用部分是由北非草原的蒸发和蒸腾作用之间的竞争引起的。此外,我们发现反馈随着时间尺度的增加而减少,并且在FOAM中随着时间尺度的增加,信号从正变为负。所提出的这种符号转换的机制与土壤上部和下部含水量的不同持续时间尺度及其与植被和大气降水的相互作用有关。

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