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层积云间隙:来自卫星、再分析模型和机载测量的统计数据。

Stratocumulus cloud clearings: statistics from satellites, reanalysis models, and airborne measurements.

作者信息

Dadashazar Hossein, Crosbie Ewan, Majdi Mohammad S, Panahi Milad, Moghaddam Mohammad A, Behrangi Ali, Brunke Michael, Zeng Xubin, Jonsson Haflidi H, Sorooshian Armin

机构信息

Department of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ, USA.

Science Systems and Applications, Inc., Hampton, VA, USA.

出版信息

Atmos Chem Phys. 2020 Apr;20(8):4637-4665. doi: 10.5194/acp-20-4637-2020. Epub 2020 Apr 21.

DOI:10.5194/acp-20-4637-2020
PMID:33193752
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7660233/
Abstract

This study provides a detailed characterization of stratocumulus clearings off the US West Coast using remote sensing, reanalysis, and airborne in situ data. Ten years (2009-2018) of Geostationary Operational Environmental Satellite (GOES) imagery data are used to quantify the monthly frequency, growth rate of total area (GR), and dimensional characteristics of 306 total clearings. While there is interannual variability, the summer (winter) months experienced the most (least) clearing events, with the lowest cloud fractions being in close proximity to coastal topographical features along the central to northern coast of California, including especially just south of Cape Mendocino and Cape Blanco. From 09:00 to 18:00 (PST), the median length, width, and area of clearings increased from 680 to 1231, 193 to 443, and ~ 67000 to ~ 250000km, respectively. Machine learning was applied to identify the most influential factors governing the GR of clearings between 09:00 and 12:00PST, which is the time frame of most rapid clearing expansion. The results from gradient-boosted regression tree (GBRT) modeling revealed that air temperature at 850 hPa ( ), specific humidity at 950 hPa ( ), sea surface temperature (SST), and anomaly in mean sea level pressure (MSLP) were probably most impactful in enhancing GR using two scoring schemes. Clearings have distinguishing features such as an enhanced Pacific high shifted more towards northern California, offshore air that is warm and dry, stronger coastal surface winds, enhanced lower-tropospheric static stability, and increased subsidence. Although clearings are associated obviously with reduced cloud fraction where they reside, the domain-averaged cloud albedo was actually slightly higher on clearing days as compared to non-clearing days. To validate speculated processes linking environmental parameters to clearing growth rates based on satellite and reanalysis data, airborne data from three case flights were examined. Measurements were compared on both sides of the clear-cloudy border of clearings at multiple altitudes in the boundary layer and free troposphere, with results helping to support links suggested by this study's model simulations. More specifically, airborne data revealed the influence of the coastal low-level jet and extensive horizontal shear at cloud-relevant altitudes that promoted mixing between clear and cloudy air. Vertical profile data provide support for warm and dry air in the free troposphere, additionally promoting expansion of clearings. Airborne data revealed greater evidence of sea salt in clouds on clearing days, pointing to a possible role for, or simply the presence of, this aerosol type in clearing areas coincident with stronger coastal winds.

摘要

本研究利用遥感、再分析和机载原位数据,对美国西海岸的层积云消散进行了详细的特征描述。使用了十年(2009 - 2018年)的地球静止业务环境卫星(GOES)图像数据,以量化306次总消散事件的月频率、总面积增长率(GR)和尺寸特征。虽然存在年际变化,但夏季(冬季)月份经历的消散事件最多(最少),最低云量出现在加利福尼亚州中部至北部海岸沿线靠近海岸地形特征的区域,特别是在门多西诺角和布兰科角以南。从太平洋标准时间09:00到18:00,消散区域的中位长度、宽度和面积分别从680千米增加到1231千米、从193千米增加到443千米,以及从约67000平方千米增加到约250000平方千米。应用机器学习来识别在太平洋标准时间09:00至12:00期间控制消散区域GR的最具影响力因素,这是消散区域扩张最快的时间段。梯度提升回归树(GBRT)建模结果显示,使用两种评分方案时,850百帕的气温( )、950百帕的比湿( )、海表面温度(SST)和平均海平面气压(MSLP)异常可能对增强GR影响最大。消散区域具有一些显著特征,如增强的太平洋高压向加利福尼亚州北部进一步偏移、温暖干燥的离岸空气、更强的海岸地面风、增强的对流层低层静力稳定度以及下沉增加。尽管消散区域明显与所在区域云量减少相关,但与非消散日相比,消散日的区域平均云反照率实际上略高。为了验证基于卫星和再分析数据推测的将环境参数与消散增长率联系起来的过程,对三次案例飞行的机载数据进行了检查。在边界层和自由对流层的多个高度上,对消散区域晴空 - 多云边界两侧的测量数据进行了比较,结果有助于支持本研究模型模拟所提出的联系。更具体地说,机载数据揭示了海岸低空急流和与云相关高度上广泛的水平切变的影响,这些促进了晴空和多云空气之间的混合。垂直剖面数据为自由对流层中温暖干燥的空气提供了支持,进一步促进了消散区域的扩张。机载数据显示,消散日云层中的海盐证据更多,这表明这种气溶胶类型在与较强海岸风同时出现的消散区域可能起到作用,或者仅仅是存在而已。

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