Drivers of cloud droplet number variability in the summertime in the southeastern United States

被引:13
作者
Bougiatioti, Aikaterini [1 ,2 ]
Nenes, Athanasios [2 ,3 ,4 ]
Lin, Jack J. [2 ,7 ]
Brock, Charles A. [5 ]
de Gouw, Joost A. [5 ,6 ,8 ]
Liao, Jin [5 ,6 ,9 ,10 ]
Middlebrook, Ann M. [5 ]
Welti, Andre [5 ,6 ,11 ]
机构
[1] Natl Observ Athens, Inst Environm Res & Sustainable Dev, Palea Penteli 15236, Greece
[2] Georgia Inst Technol, Sch Earth & Atmospher Sci, Atlanta, GA 30332 USA
[3] Ecole Polytech Fed Lausanne, Sch Architecture Civil & Environm Engn, Lab Atmospher Proc & Their Impacts, CH-1015 Lausanne, Switzerland
[4] Fdn Res & Technol Hellas, Inst Chem Engn Sci, Patras 26504, Greece
[5] NOAA, Chem Sci Lab, Boulder, CO 80305 USA
[6] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
[7] Univ Oulu, Nano & Mol Syst Res Unit, Oulu 90014, Finland
[8] Univ Colorado, Dept Chem & Biochem, Campus Box 215, Boulder, CO 80309 USA
[9] NASA, Atmospher Chem & Dynam Lab, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[10] Univ Space Res Assoc, GESTAR, Columbia, MD 21046 USA
[11] Finnish Meteorol Inst, Atmospher Composit Res Unit, Helsinki 00560, Finland
基金
欧盟地平线“2020”;
关键词
US ANTHROPOGENIC AEROSOLS; CONDENSATION NUCLEI; PARTICLE-SIZE; MIXING STATE; CCN NUMBER; HYGROSCOPICITY; ACTIVATION; PARAMETERIZATION; SPECTROMETER; PERFORMANCE;
D O I
10.5194/acp-20-12163-2020
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Here we analyze regional-scale data collected on board the NOAA WP-3D aircraft during the 2013 Southeast Nexus (SENEX) campaign to study the aerosol-cloud droplet link and quantify the sensitivity of droplet number to aerosol number, chemical composition, and vertical velocity. For this, the observed aerosol size distributions, chemical composition, and vertical-velocity distribution are introduced into a state-of-the-art cloud droplet parameterization to show that cloud maximum supersaturations in the region range from 0.02 % to 0.52 %, with an average of 0.14 +/- 0.05 %. Based on these low values of supersaturation, the majority of activated droplets correspond to particles with a dry diameter of 90 nm and above. An important finding is that the standard deviation of the vertical velocity (sigma(w)) exhibits considerable diurnal variability (ranging from 0.16 m s(-1 )during nighttime to over 1.2 m s(-1) during day), and it tends to covary with total aerosol number (N-a). This sigma(w)-N-a covariance amplifies the predicted response in cloud droplet number (N-d) to N-a increases by 3 to 5 times compared to expectations based on N-a changes alone. This amplified response is important given that droplet formation is often velocity-limited and therefore should normally be insensitive to aerosol changes. We also find that N-d cannot exceed a characteristic concentration that depends solely on sigma(w). Correct consideration of sigma(w) and its covariance with time and N-a is important for fully understanding aerosol-cloud interactions and the magnitude of the aerosol indirect effect. Given that model assessments of aerosol-cloud-climate interactions do not routinely evaluate for overall turbulence or its covariance with other parameters, datasets and analyses such as the one presented here are of the highest priority to address unresolved sources of hydrometeor variability, bias, and the response of droplet number to aerosol perturbations.
引用
收藏
页码:12163 / 12176
页数:14
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