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Impacts of absorbing aerosol deposition on snowpack and hydrologic cycle in the Rocky Mountain region based on variable-resolution CESM (VR-CESM) simulations

机译:基于可变分辨率CESM(VR-CESM)模拟,吸收气雾沉积在岩石山区积雪和水文周期的影响

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The deposition of light-absorbing aerosols (LAAs), such as black carbon (BC) and dust, onto snow cover has been suggested to reduce the snow albedo and modulate the snowpack and consequent hydrologic cycle. In this study we use the variable-resolution Community Earth System Model (VR-CESM) with a regionally refined high-resolution (0.125°) grid to quantify the impacts of LAAs in snow in the Rocky Mountain region during the period 1981–2005. We first evaluate the model simulation of LAA concentrations both near the surface and in snow and then investigate the snowpack and runoff changes induced by LAAs in snow. The model simulates similar magnitudes of near-surface atmospheric dust concentrations as observations in the Rocky Mountain region. Although the model underestimates near-surface atmospheric BC concentrations, the model overestimates BC-in-snow concentrations by 35?% on average. The regional mean surface radiative effect (SRE) due to LAAs in snow reaches up to 0.6–1.7?W?m?2 in spring, and dust contributes to about 21–42?% of total SRE. Due to positive snow albedo feedbacks induced by the LAA SRE, snow water equivalent is reduced by 2–50?mm and snow cover fraction by 5–20?% in the two regions around the mountains (eastern Snake River Plain and southwestern Wyoming), corresponding to an increase in surface air temperature by 0.9–1.1?°C. During the snow melting period, LAAs accelerate the hydrologic cycle with monthly runoff increases of 0.15–1.00?mm?day?1 in April–May and reductions of 0.04–0.18?mm?day?1 in June–July in the mountainous regions. Of all the mountainous regions, the Southern Rockies experience the largest reduction of total runoff by 15?% during the later stage of snowmelt (i.e., June and July). Compared to previous studies based on field observations, our estimation of dust-induced SRE is generally 1?order of magnitude smaller in the Southern Rockies, which is ascribed to the omission of larger dust particles (with the diameter ?10?μm) in the model. This calls for the inclusion of larger dust particles in the model to reduce the discrepancies. Overall these results highlight the potentially important role of LAA interactions with snowpack and the subsequent impacts on the hydrologic cycles across the Rocky Mountains.
机译:已经建议沉积黑碳(BC)和灰尘,如黑碳(BC)和灰尘,以减少雪剂并调制积雪和随之而来的水文循环。在这项研究中,我们使用具有区域精制高分辨率(0.125°)网格的可变分辨率社区地球系统模型(VR-CESM),以量化1981 - 2005年期间在岩石山区雪中雪中的影响。我们首先评估LAA浓度的模型模拟,靠近地面和雪,然后调查LAAS在雪中引起的积雪和径流变化。该模型模拟了与岩石山区的观察结果相似的近表面大气尘埃浓度。虽然该模型低估了近表面大气BC浓度,但该模型平均估计了35次雪雪浓度的浓度。由于雪中的LaAs达到了最高0.6-1.7的区域平均表面辐射效应(SRE)达到0.6-1.7?2在弹簧中,灰尘有助于总SRE的约21-42倍。由于LAA SRE引起的积极雪剂反馈,雪水等量减少了2-50毫米和雪盖分数5-20?%在山脉周围的两个地区(东蛇河平原和西南部怀俄明州),对应于表面空气温度的增加0.9-1.1℃。在雪融化期间,LAAS加速水文循环,每月径流增加0.15-1.00?星期日?4月 - 5月1日和减少0.04-0.18?毫米?日6月 - 7月在山区。在所有的山区,南部落基罗基斯在雪花的后期阶段(即6月和7月)的后期阶段,总径流量减少了15?%。与以前的研究基于现场观察,我们对粉尘诱导的SRE的估计通常是1?南部落基径较小的数量级,其归因于少于较大的粉尘颗粒(具有直径θμm)模型。这要求在模型中包含较大的粉尘颗粒以减少差异。总体而言,这些结果突出了LAA相互作用与积雪的潜在重要作用以及随后对落矶山脉的水文周期的影响。

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