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Rapid growth of new atmospheric particles by nitric acid and ammonia condensation 期刊论文
NATURE, 2020, 581 (7807) : 184-+
作者:  Liang, Guanxiang;  Zhao, Chunyu;  Zhang, Huanjia;  Mattei, Lisa;  Sherrill-Mix, Scott;  Bittinger, Kyle;  Kessler, Lyanna R.;  Wu, Gary D.;  Baldassano, Robert N.;  DeRusso, Patricia;  Ford, Eileen;  Elovitz, Michal A.;  Kelly, Matthew S.;  Patel, Mohamed Z.;  Mazhani, Tiny;  Gerber, Jeffrey S.;  Kelly, Andrea;  Zemel, Babette S.;  Bushman, Frederic D.
收藏  |  浏览/下载:17/0  |  提交时间:2020/05/20

A list of authors and their affiliations appears at the end of the paper New-particle formation is a major contributor to urban smog(1,2), but how it occurs in cities is often puzzling(3). If the growth rates of urban particles are similar to those found in cleaner environments (1-10 nanometres per hour), then existing understanding suggests that new urban particles should be rapidly scavenged by the high concentration of pre-existing particles. Here we show, through experiments performed under atmospheric conditions in the CLOUD chamber at CERN, that below about +5 degrees Celsius, nitric acid and ammonia vapours can condense onto freshly nucleated particles as small as a few nanometres in diameter. Moreover, when it is cold enough (below -15 degrees Celsius), nitric acid and ammonia can nucleate directly through an acid-base stabilization mechanism to form ammonium nitrate particles. Given that these vapours are often one thousand times more abundant than sulfuric acid, the resulting particle growth rates can be extremely high, reaching well above 100 nanometres per hour. However, these high growth rates require the gas-particle ammonium nitrate system to be out of equilibrium in order to sustain gas-phase supersaturations. In view of the strong temperature dependence that we measure for the gas-phase supersaturations, we expect such transient conditions to occur in inhomogeneous urban settings, especially in wintertime, driven by vertical mixing and by strong local sources such as traffic. Even though rapid growth from nitric acid and ammonia condensation may last for only a few minutes, it is nonetheless fast enough to shepherd freshly nucleated particles through the smallest size range where they are most vulnerable to scavenging loss, thus greatly increasing their survival probability. We also expect nitric acid and ammonia nucleation and rapid growth to be important in the relatively clean and cold upper free troposphere, where ammonia can be convected from the continental boundary layer and nitric acid is abundant from electrical storms(4,5).


  
Linear correction method for improved atmospheric vertical profile retrieval based on ground-based microwave radiometer 期刊论文
ATMOSPHERIC RESEARCH, 2020, 232
作者:  Zhao, Yuxin;  Yan, Hualong;  Wu, Peng;  Zhou, Di
收藏  |  浏览/下载:11/0  |  提交时间:2020/07/02
Atmospheric profile retrieval  Brightness temperature correction  Linear regression  Vertical temperature  Water vapor profiles  
Trends and Variability in Vertical Winds in the Southern Hemisphere Summer Polar Mesosphere and Lower Thermosphere 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (21) : 11070-11085
作者:  Vincent, R. A.;  Kovalam, S.;  Murphy, D. J.;  Reid, I. M.;  Younger, J. P.
收藏  |  浏览/下载:6/0  |  提交时间:2020/02/17
mesosphere-thermosphere  winds and temperature  vertical velocity  middle atmosphere coupling  
Distributed Hydrological Modeling Framework for Quantitative and Spatial Bias Correction for Rainfall, Snowfall, and Mixed-Phase Precipitation Using Vertical Profile of Temperature 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (9) : 4985-5009
作者:  Naseer, Asif;  Koike, Toshio;  Rasmy, Mohamad;  Ushiyama, Tomoki;  Shrestha, Maheswor
收藏  |  浏览/下载:6/0  |  提交时间:2019/11/26
vertical profile of temperature  distributed hydrologic model lapse rate  mountainous region  
An improved retrieval method of atmospheric parameter profiles based on the BP neural network 期刊论文
ATMOSPHERIC RESEARCH, 2018, 213: 389-397
作者:  Zhao, Yuxin;  Zhou, Di;  Yan, Hualong
收藏  |  浏览/下载:7/0  |  提交时间:2019/04/09
Artificial neural network  Jacobian matrix  Layered retrieval method  Vertical temperature and water vapor profiles  
Lightning activity in tropical cyclones and its relationship to dynamic and thermodynamic parameters over the northwest Pacific 期刊论文
ATMOSPHERIC RESEARCH, 2018, 213: 86-96
作者:  Wang, Fang;  Qie, Xiushu;  Wang, Dongfang;  Srivastava, Abhay
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/09
Lightning rate  Tropical cyclone  Azimuthal distribution of lightning  Sea surface temperature  Vertical wind shear  
Temporal and spatial variability of surface-based inversions over Europe based on ERA-Interim reanalysis 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (1) : 158-168
作者:  Palarz, Angelika;  Celinski-Myslaw, Daniel;  Ustrnul, Zbigniew
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
surface-based inversions  ERA-Interim reanalysis  vertical temperature profile  
Experimental Evidence of Arctic Summer Mesospheric Upwelling and Its Connection to Cold Summer Mesopause 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2017, 44 (18)
作者:  Laskar, F. I.;  Chau, J. L.;  St-Maurice, J. P.;  Stober, G.;  Hall, C. M.;  Tsutsumi, M.;  Hoeffner, J.;  Hoffmann, P.
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
horizontal divergence  vertical velocity  meteor radar  mesospheric dynamics  mesospheric cooling  mesospheric wind and temperature  
Evaluation of simulated climatological diurnal temperature range in CMIP5 models from the perspective of planetary boundary layer turbulent mixing 期刊论文
CLIMATE DYNAMICS, 2017, 49: 43487
作者:  Wei, Nan;  Zhou, Liming;  Dai, Yongjiu
收藏  |  浏览/下载:8/0  |  提交时间:2019/04/09
Climate modelling  Diurnal temperature range  Planetary boundary layer  Turbulent vertical mixing  
Does vertical temperature gradient of the atmosphere matter for El Nio development? 期刊论文
CLIMATE DYNAMICS, 2017, 48
作者:  Hu, Zeng-Zhen;  Huang, Bohua;  Tseng, Yu-heng;  Wang, Wanqiu;  Kumar, Arun;  Zhu, Jieshun;  Jha, Bhaskar
收藏  |  浏览/下载:7/0  |  提交时间:2019/04/09
El Nino-Southern Oscillation  Vertical gradient of atmospheric temperature  Tropical convection  Long-term trend