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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Inter-annual variability of global monsoon precipitation in present-day and future warming scenarios based on 33 Coupled Model Intercomparison Project Phase 5 models
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Inter-annual variability of global monsoon precipitation in present-day and future warming scenarios based on 33 Coupled Model Intercomparison Project Phase 5 models

机译:全球季风降水的年度变异性当今和未来的变暖情景基于33耦合模型离校正项目第5款模型

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Simulations and future projections of year-to-year variation in global monsoon precipitation (GMP), defined as the summer precipitation amount per unit area within the global monsoon domain, are investigated using the 33 models that participated in Phase 5 of the Coupled Model Intercomparison Project (CMIP5). The inter-annual standard deviation of GMP, which presents the amplitude of year-to-year variability in monsoon rainfall, is simulated well by the multi-model ensemble (MME) mean of the 33 models and of the best five (B5) models. The B5 models show superior skills in reproducing the climatological monsoon precipitation and its inter-annual variability. The inter-annual standard deviations of 25-year GMP in the present day (1979-2005) derived from the MME average of the 33 models and of the B5 models are 0.17 and 0.15mm/day per unit area, respectively, both being close to the observation (0.16mm/day per unit area). Consistent with the observed El Nino-Southern Oscillation (ENSO)-GMP relationship, the simulated variability of GMP is negatively correlated with the sea surface temperature in the Nino areas at the inter-annual timescale. Projections by the 33 CMIP5 models under the RCP4.5 scenario indicate that wet and dry monsoon years would occur more intensively in a warmer climate. Around 61% (20 out of the 33) of the models show enhanced inter-annual variability of GMP by the end of the 21st century (2072-2098) compared to the period 1979-2005. The MME of the B5 models suggests that the amplitude of projected GMP variability would increase by similar to 20% from present day to the late 21st century. However, the increasing rate of GMP variability detected by the 33 models' MME is relatively small (similar to 6%), which is even smaller than the inter-model standard deviation, suggesting the amplitude changes in GMP variability feature non-negligible uncertainty among the 33 models. Under global warming, the inter-annual variation of GMP would still be tightly co
机译:模拟和未来预测全球季风降水(GMP)的变化,定义为全球季风域内每单位面积的夏季降水量,采用参与耦合模型相互阶段的第5阶段的33个模型来研究项目(CMIP5)。 GMP的年度年度标准偏差,这提出了季风降雨的年度变异性的幅度,由33型号的多模型集合(MME)和最佳五(B5)模型进行了良好的模拟良好。 B5模型显示出卓越的技能,在再现气候季风降水及其年间变异性方面。 25岁的GMP在本天(1979-2005)中源于33型号的MME平均值和B5型号的平均值的年间标准偏差分别为0.17和0.15mm /天/天/天/天/天,均关闭观察(每单位面积0.16mm /天)。与观察到的EL Nino-Southern振荡(ENSO)-GMP关系一致,GMP的模拟变异性与年间时间级别的尼诺地区的海面温度负相关。在RCP4.5场景下的33个CMIP5型号的预测表明湿润和干燥的季风将在温暖的气候中更集中地发生。该模型大约61%(33分中的20个)在21世纪末(2072-22098)相比,该模型中的61%(第33条)显示了GMP的年度年度年度变异性,而1979-2005期间。 B5模型的MME表明,预计GMP变异性的幅度将增加与21世纪后期的当今日期相似的20%。然而,由33型号的MME检测到的GMP可变性的增加率相对较小(类似于6%),其甚至小于模型间标准偏差,表明GMP可变性的幅度变化具有不可忽略的不确定性33型号。在全球变暖下,GMP的年间变异仍然是紧密的

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