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Future humidity trends over the western United States in the CMIP5 global climate models and variable infiltration capacity hydrological modeling system

机译:在CMIP5全球气候模型和可变渗透能力水文模拟系统中,美国西部的未来湿度趋势

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Global climate models predict relative humidity (RH) in the western US will decrease at a rate of about 0.1-0.6 percentage points per decade, albeit with seasonal differences (most drying in spring and summer), geographical variability (greater declines in the interior), stronger reductions for greater anthropogenic radiative forcing, and notable spread among the models. Although atmospheric moisture content increases, this is more than compensated for by higher air temperatures, leading to declining RH. Fine-scale hydrological simulations driven by the global model results should reproduce these trends. It is shown that the MT-CLIM meteorological algorithms used by the Variable Infiltration Capacity (VIC) hydrological model, when driven by daily T _(min), T_(max), and precipitation (a configuration used in numerous published studies), do not preserve the original global model's humidity trends. Trends are biased positive in the interior western US, so that strong RH decreases are changed to weak decreases, and weak decreases are changed to increases. This happens because the MT-CLIM algorithms VIC incorporates infer an overly large positive trend in atmospheric moisture content in this region, likely due to an underestimate of the effect of increasing aridity on RH. The result could downplay the effects of decreasing RH on plants and wildfire. RH trends along the coast have a weak negative bias due to neglect of the ocean's moderating influence. A numerical experiment where the values of Tdew are altered to compensate for the RH error suggests that eliminating the atmospheric moisture bias could, in and of itself, decrease runoff up to 14% in high-altitude regions east of the Sierra Nevada and Cascades, and reduce estimated Colorado River runoff at Lees Ferry up to 4% by the end of the century. It could also increase the probability of large fires in the northern and central US Rocky Mountains by 13 to 60%.
机译:全球气候模型预测,美国西部的相对湿度(RH)将以每十年约0.1-0.6个百分点的速度下降,尽管存在季节性差异(春季和夏季最干燥),地理变异性(内部下降更大) ,更大的减少量以产生更大的人为辐射强迫,以及模型之间的显着分布。尽管大气中的水分含量增加了,但更高的空气温度可以弥补这一点,从而导致相对湿度下降。由整体模型结果驱动的精细水文模拟应再现这些趋势。结果表明,当由每日T_(min),T_(max)和降水(在许多已发表的研究中使用的一种配置)驱动时,可变渗透能力(VIC)水文模型使用的MT-CLIM气象算法能够不能保留原始全局模型的湿度趋势。在美国西部内部,趋势偏向正,因此,相对湿度的强烈下降变为弱势下降,而弱势下降则变为上升。发生这种情况是因为MT-CLIM算法的VIC推断出该区域大气水分含量的趋势过大,这可能是由于干旱对RH的影响被低估了。结果可能低估了相对湿度降低对植物和野火的影响。由于忽视了海洋的缓和作用,沿海的RH趋势具有较弱的负偏差。改变Tdew值以补偿RH误差的数值实验表明,消除内华达山脉和喀斯喀特山脉以东的高海拔地区的大气湿度偏差可以本身将径流减少多达14%,并且到本世纪末,将Lees Ferry的估计科罗拉多河径流量减少多达4%。它还可能使美国落基山脉中部和北部发生大火的可能性增加13%至60%。

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