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Investigating potential biases in observed and modeled metrics of aerosol-cloud-precipitation interactions

机译:研究气溶胶-云-降水相互作用的观测和建模指标中的潜在偏差

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pstrongAbstract./strong This study utilizes large eddy simulation, aircraft measurements, and satellite observations to identify factors that bias the absolute magnitude of metrics of aerosol-cloud-precipitation interactions for warm clouds. The metrics considered are precipitation susceptibility iS/isubo/sub, which examines rain rate sensitivity to changes in drop number, and a cloud-precipitation metric, χ, which relates changes in rain rate to those in drop size. While wide ranges in rain rate exist at fixed cloud drop concentration for different cloud liquid water amounts, χ and iS/isubo/sub are shown to be relatively insensitive to the growth phase of the cloud for large datasets that include data representing the full spectrum of cloud lifetime. Spatial resolution of measurements is shown to influence the liquid water path-dependent behavior of iS/isubo/sub and χ. Other factors of importance are the choice of the minimum rain rate threshold, and how to quantify rain rate, drop size, and the cloud condensation nucleus proxy. Finally, low biases in retrieved aerosol amounts owing to wet scavenging and high biases associated with above-cloud aerosol layers should be accounted for. The paper explores the impact of these effects for model, satellite, and aircraft data./p.
机译:> >摘要。本研究利用大型涡流模拟,飞机测量和卫星观测来识别偏向于温暖云气溶胶-云-降水相互作用度量指标的绝对大小的因素。所考虑的指标是降水敏感性 S o ,该指标检查降雨率对滴数变化的敏感性,而云降水量指标χ涉及降雨率的变化。到那些墨滴大小的人。对于不同的云状液态水量,在固定的云滴浓度下存在较大的降雨率范围,对于大型数据集(包括代表整个云生命周期的数据), S o 和 S o 对云的增长阶段相对不敏感。结果表明,空间分辨率会影响 S o 和χ的液态水路径相关行为。其他重要的因素是最小降雨率阈值的选择,以及如何量化降雨率,液滴大小和云凝结核代理。最后,应考虑由于湿气清除而导致的气溶胶回收量偏低,以及与云层上方的气溶胶层相关的偏高。本文探讨了这些效应对模型,卫星和飞机数据的影响。

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