Collocated observations of cloud condensation nuclei, particle size distributions, and chemical composition

Author:

Schmale JuliaORCID,Henning Silvia,Henzing Bas,Keskinen Helmi,Sellegri Karine,Ovadnevaite Jurgita,Bougiatioti Aikaterini,Kalivitis Nikos,Stavroulas Iasonas,Jefferson Anne,Park Minsu,Schlag PatrickORCID,Kristensson Adam,Iwamoto Yoko,Pringle Kirsty,Reddington Carly,Aalto Pasi,Äijälä Mikko,Baltensperger Urs,Bialek Jakub,Birmili Wolfram,Bukowiecki Nicolas,Ehn MikaelORCID,Fjæraa Ann Mari,Fiebig Markus,Frank Göran,Fröhlich Roman,Frumau Arnoud,Furuya Masaki,Hammer Emanuel,Heikkinen Liine,Herrmann ErikORCID,Holzinger Rupert,Hyono Hiroyuki,Kanakidou Maria,Kiendler-Scharr Astrid,Kinouchi Kento,Kos Gerard,Kulmala Markku,Mihalopoulos Nikolaos,Motos Ghislain,Nenes Athanasios,O’Dowd Colin,Paramonov Mikhail,Petäjä TuukkaORCID,Picard David,Poulain Laurent,Prévôt André Stephan Henry,Slowik Jay,Sonntag Andre,Swietlicki Erik,Svenningsson Birgitta,Tsurumaru Hiroshi,Wiedensohler Alfred,Wittbom Cerina,Ogren John A.,Matsuki Atsushi,Yum Seong Soo,Myhre Cathrine LundORCID,Carslaw Ken,Stratmann Frank,Gysel MartinORCID

Abstract

Abstract Cloud condensation nuclei (CCN) number concentrations alongside with submicrometer particle number size distributions and particle chemical composition have been measured at atmospheric observatories of the Aerosols, Clouds, and Trace gases Research InfraStructure (ACTRIS) as well as other international sites over multiple years. Here, harmonized data records from 11 observatories are summarized, spanning 98,677 instrument hours for CCN data, 157,880 for particle number size distributions, and 70,817 for chemical composition data. The observatories represent nine different environments, e.g., Arctic, Atlantic, Pacific and Mediterranean maritime, boreal forest, or high alpine atmospheric conditions. This is a unique collection of aerosol particle properties most relevant for studying aerosol-cloud interactions which constitute the largest uncertainty in anthropogenic radiative forcing of the climate. The dataset is appropriate for comprehensive aerosol characterization (e.g., closure studies of CCN), model-measurement intercomparison and satellite retrieval method evaluation, among others. Data have been acquired and processed following international recommendations for quality assurance and have undergone multiple stages of quality assessment.

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3