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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 willdecrease at a rate of about 0.1–0.6 percentage points per decade,albeit with seasonal differences (most drying in spring andsummer), geographical variability (greater declines in the interior),stronger reductions for greater anthropogenic radiative forcing, and notablespread among the models. Although atmospheric moisture content increases,this is more than compensated for by higher air temperatures, leading todeclining RH. Fine-scale hydrological simulations driven by the global modelresults should reproduce these trends. It is shown that the MT-CLIMmeteorological algorithms used by the Variable Infiltration Capacity (VIC)hydrological model, when driven by daily Tmin, Tmax,and precipitation (a configuration used in numerous published studies), donot preserve the original global model's humidity trends. Trends are biasedpositive in the interior western US, so that strong RH decreases are changedto weak decreases, and weak decreases are changed to increases. This happensbecause the MT-CLIM algorithms VIC incorporates infer an overly largepositive trend in atmospheric moisture content in this region, likely due toan underestimate of the effect of increasing aridity on RH. The result coulddownplay the effects of decreasing RH on plants and wildfire. RH trends alongthe coast have a weak negative bias due to neglect of the ocean's moderatinginfluence. A numerical experiment where the values of Tdew arealtered to compensate for the RH error suggests that eliminating theatmospheric moisture bias could, in and of itself, decrease runoff up to14% in high-altitude regions east of the Sierra Nevada and Cascades, andreduce estimated Colorado River runoff at Lees Ferry up to 4% by the endof the century. It could also increase the probability of large fires in thenorthern 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)减少了更大的人为辐射强迫,并且在模型之间显着分布。尽管大气中的水分含量增加了,但是这可以通过较高的空气温度来弥补,从而导致相对湿度下降。由全球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 驱动时,可变渗透能力(VIC)水文模型使用的MT-CLIM气象算法 max 和降水(许多已发表的研究中使用的配置)不能保留原始全球模型的湿度趋势。趋势在美国西部内部呈偏正,因此RH的强烈下降变为弱的下降,而RH的弱变化变成了上升。发生这种情况是因为MT-CLIM算法VIC引入了该区域大气水分含量过大的趋势,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。由于忽略了海洋的适度影响,沿海的RH趋势具有较弱的负偏差。改变 T dew 的值以补偿RH误差的数值实验表明,消除大气湿度偏差可在高海拔地区本身减少径流高达14%内华达山脉和喀斯喀特山脉以东的高海拔地区,到本世纪末,估计Lees Ferry的科罗拉多河径流最多可增加4%。它还可能使美国北部和美国落基山脉中部发生大火的可能性增加13%至60%。

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