Schlosser Joseph S, Dadashazar Hossein, Edwards Eva-Lou, Hossein Mardi Ali, Prabhakar Gouri, Stahl Connor, Jonsson Haflidi H, Sorooshian Armin
Department of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ, USA.
Department of Atmospheric Sciences, Purdue University, West Lafayette, IN, USA.
J Geophys Res Atmos. 2020 Jun 27;125(12). doi: 10.1029/2019jd032346. Epub 2020 May 25.
The MONterey Aerosol Research Campaign (MONARC) in May-June 2019 featured 14 repeated identical flights off the California coast over the open ocean at the same time each flight day. The objective of this study is to use MONARC data along with machine learning analysis to evaluate relationships between both supermicrometer sea salt aerosol number (N) and volume (V) concentrations and wind speed, wind direction, sea surface temperature (SST), ambient temperature (T), turbulent kinetic energy (TKE), relative humidity (RH), marine boundary layer (MBL) depth, and drizzle rate. Selected findings from this study include the following: (i) Near surface (<60 m) N and V concentration ranges were 0.1-4.6 cm and 0.3-28.2 μm cm, respectively; (ii) four meteorological regimes were identified during MONARC with each resulting in different N and V concentrations and also varying horizontal and vertical profiles; (iii) the relative predictive strength of the MBL properties varies depending on predicting N or V, with MBL depth being more highly ranked for predicting N and with TKE being higher for predicting V; (iv) MBL depths >400 m (<200 m) often correspond to lower (higher) N and V concentrations; (v) enhanced drizzle rates coincide with reduced N and V concentrations; (vi) N and V concentrations exhibit an overall negative relationship with SST and RH and an overall positive relationship with T; and (vii) wind speed and direction were relatively weak predictors of N and V.
2019年5月至6月开展的蒙特雷气溶胶研究活动（MONARC）的特点是，在每个飞行日的同一时间，在加利福尼亚海岸外的公海上进行14次重复的相同飞行。本研究的目的是利用MONARC数据以及机器学习分析，评估超微米海盐气溶胶数量（N）和体积（V）浓度与风速、风向、海表面温度（SST）、环境温度（T）、湍流动能（TKE）、相对湿度（RH）、海洋边界层（MBL）深度和毛毛雨率之间的关系。本研究的部分选定结果如下：（i）近地表（<60米）的N和V浓度范围分别为0.1 - 4.6厘米⁻³和0.3 - 28.2立方微米厘米⁻³；（ii）在MONARC期间确定了四种气象状态，每种状态导致不同的N和V浓度，以及不同的水平和垂直剖面；（iii）MBL属性的相对预测强度因预测N或V而异，MBL深度在预测N时排名更高，而TKE在预测V时更高；（iv）MBL深度>4（<2）00米通常对应较低（较高）的N和V浓度；（v）毛毛雨率增加与N和V浓度降低相吻合；（vi）N和V浓度与SST和RH总体呈负相关，与T总体呈正相关；（vii）风速和风向对N和V的预测作用相对较弱。
