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The prevalence of precipitation from polar supercooled clouds

机译:极性过冷云降水的普及

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Supercooled clouds substantially impact polar surface energy budgets, but large-scale models often underestimate their occurrence, which motivates accurately establishing metrics of basic processes. An analysis of long-term measurements at Utqia?vik, Alaska, and McMurdo Station, Antarctica, combines lidar-validated use of soundings to identify supercooled cloud layers and colocated ground-based profiling radar measurements to quantify cloud base precipitation. We find that more than 85?% (75?%) of sampled supercooled layers are precipitating over the Arctic (Antarctic) site, with more than 75?% (50?%) precipitating continuously to the surface. Such high frequencies can be reconciled with substantially lesser spaceborne estimates by considering differences in radar hydrometeor detection sensitivity. While ice precipitation into supercooled clouds from aloft is common, we also find that the great majority of supercooled cloud layers without ice falling into them are themselves continuously generating precipitation. Such sustained primary ice formation is consistent with continuous activation of immersion-mode ice-nucleating particles (INPs), suggesting that supercooled cloud formation is a principal gateway to ice formation at temperatures greater than ~ - 38 ? ° C over polar regions. The prevalence of weak precipitation fluxes is also consistent with supercooled cloud longevity and with well-observed and widely simulated case studies. An analysis of colocated microwave radiometer retrievals suggests that weak precipitation fluxes can be nonetheless consequential to moisture budgets for supercooled clouds owing to small liquid water paths. The results here also demonstrate that the observed abundance of mixed-phase clouds can vary substantially with instrument sensitivity and methodology. Finally, we suggest that these ground-based precipitation rate statistics offer valuable guidance for improving the representation of polar cloud processes in large-scale models.
机译:过冷云基本上影响极性表面能预算,但大规模模型通常低估其发生,这激励了基本过程的准确建立度量。 UTQIA?Vik,Alaska和McMurdo站的长期测量分析,南极洲验证使用探测器,识别过冷云层和基于光学地面的分析雷达测量,以量化云底座沉淀。我们发现超过85?%(75℃)的取样过冷层在北极(南极)位点上沉淀,超过75℃(50μm)连续沉淀到表面。通过考虑雷达水流仪检测灵敏度的差异,可以通过显着较小的太空载估计来协调这种高频。虽然高级冰沉淀成超级冷却云是常见的,但我们还发现没有冰落入它们的绝大多数过冷云层都是持续发电的降水。这种持续的初级冰形成与连续活化的浸泡模式冰成核颗粒(INPS)一致,表明过冷云形成是在大于〜 - 38的温度下冰形成的主要网关? °C过度区域。弱沉淀通量的患病率也与过冷云寿命以及具有良好观察和广泛模拟的案例研究一致。对光学微波辐射计检索的分析表明,由于小液体水路,由于小的液体水路,对于超冷却云的水分预算来说,弱降水量可能是较弱的降水量。这里的结果还表明观察到的混合相云的丰度可以基本上随仪器敏感性和方法而变化。最后,我们建议这些基于地面的降水率统计数据为改善大规模模型中的极性云流程的代表提供了有价值的指导。

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