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Aerosol and cloud microphysics covariability in the northeast Pacific boundary layer estimated with ship-based and satellite remote sensing observations

机译:利用舰船和卫星遥感观测估计东北太平洋边界层的气溶胶和云微物理协变

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摘要

Ship measurements collected over the northeast Pacific along transects between the port of Los Angeles (33.7°N, 118.2°W) and Honolulu (21.3°N, 157.8°W) during May to August 2013 were utilized to investigate the covariability between marine low cloud microphysical and aerosol properties. Ship-based retrievals of cloud optical depth (τ) from a Sun photometer and liquid water path (LWP) from a microwave radiometer were combined to derive cloud droplet number concentration Nd and compute a cloud-aerosol interaction (ACI) metric defined as ACICCN = ∂ ln(Nd)/∂ ln(CCN), with CCN denoting the cloud condensation nuclei concentration measured at 0.4% (CCN0.4) and 0.3% (CCN0.3) supersaturation. Analysis of CCN0.4, accumulation mode aerosol concentration (Na), and extinction coefficient (σext) indicates that Na and σext can be used as CCN0.4 proxies for estimating ACI. ACICCN derived from 10 min averaged Nd and CCN0.4 and CCN0.3, and CCN0.4 regressions using Na and σext, produce high ACICCN: near 1.0, that is, a fractional change in aerosols is associated with an equivalent fractional change in Nd. ACICCN computed in deep boundary layers was small (ACICCN = 0.60), indicating that surface aerosol measurements inadequately represent the aerosol variability below clouds. Satellite cloud retrievals from MODerate-resolution Imaging Spectroradiometer and GOES-15 data were compared against ship-based retrievals and further analyzed to compute a satellite-based ACICCN. Satellite data correlated well with their ship-based counterparts with linear correlation coefficients equal to or greater than 0.78. Combined satellite Nd and ship-based CCN0.4 and Na yielded a maximum ACICCN = 0.88–0.92, a value slightly less than the ship-based ACICCN, but still consistent with aircraft-based studies in the eastern Pacific.
机译:利用2013年5月至8月在洛杉矶港(33.7°N,118.2°W)和檀香山(21.3°N,157.8°W)之间的样带在东北太平洋上收集的船舶测量数据来研究海洋低云之间的协变性微物理和气溶胶特性。结合基于船的太阳光度计的云光学深度(τ)和微波辐射计的液态水路径(LWP)的检索,得出云滴数浓度Nd并计算出定义为ACICCN =的云气溶胶相互作用(ACI)度量∂ln(Nd)/∂ln(CCN),其中CCN表示测得的云凝结核浓度为0.4%(CCN0.4)和0.3%(CCN0.3)过饱和。对CCN0.4,累积模式气溶胶浓度(Na)和消光系数(σext)的分析表明,Na和σext可以用作估计ACI的CCN0.4代理。从10分钟平均Nd,CCN0.4和CCN0.3以及使用Na和σext进行的CCN0.4回归得出的ACICCN产生较高的ACICCN:接近1.0,即气溶胶的分数变化与Nd的等效分数变化相关。在深边界层中计算出的ACICCN很小(ACICCN = 0.60),表明表面气溶胶测量值不足以表示云层以下的气溶胶变化。从中等分辨率成像光谱仪和GOES-15数据中获取的卫星云与基于船的获取进行了比较,并进行了进一步分析以计算基于卫星的ACICCN。卫星数据与其船上对应物的线性相关系数等于或大于0.78很好地相关。钕和舰载CCN0.4和Na卫星组合产生的最大ACICCN = 0.88–0.92,略低于舰载ACICCN的值,但仍与东太平洋的飞机研究一致。

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