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30 results for “New Particle Formation”
Wintertime subarctic new particle formation from Kola Peninsula sulphur emissions
<p><strong>Nitrate-ion (NO3-) chemical ionization (CI) </strong><strong>APi-TOF </strong><strong>masspectrometer and ion APi-TOF mass spectrometer data reported in Atmospheric Chemistry and Physics: </strong>Sipilä, M., Sarnela, N., Neitola, K., Laitinen, T., Kemppainen, D., Beck, L., Duplissy, E.-M., Kuittinen, S., Lehmusjärvi, T., Lampilahti, J., Kerminen, V.-M., Lehtipalo, K., Aalto, P. P., Keronen, P., Siivola, E., Rantala, P. A., Worsnop, D. R., Kulmala, M., Jokinen, T., and Petäjä, T.: Wintertime sub-arctic new particle formation from Kola Peninsula sulphur emissions, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2020-1202, in review, 2021.</p> <p><a href="https://zenodo.org/api/files/0375de20-1ec1-4185-82f6-ec6eda9466a5/H2SO4_vs_time_FIG3-FIG4.dat">H2SO4_vs_time_FIG3-FIG4.dat</a> </p> <p>[Matlab time, measured sulfuric acid concentration] depicted in FIGs 3c and 4c of the above publication.</p> <p><a href="https://zenodo.org/api/files/0375de20-1ec1-4185-82f6-ec6eda9466a5/SA_MSA_IA_vs_time_FIG7.dat">SA_MSA_IA_vs_time_FIG7.dat</a></p> <p>[Matlab time, measured sulfuric acid concentration, measured methane sulphonic acid concentration, measured iodic acid concentration] depicted in FIG7e of the above publication</p> <p><a href="https://zenodo.org/api/files/0375de20-1ec1-4185-82f6-ec6eda9466a5/ion_signals_vs_time_FIG7.dat">ion_signals_vs_time_FIG7.dat</a></p> <p>[Matlab time, ion signal of NO3-, ion signal of HSO4-, ion signal of H2SO4.HSO4-, ion signal of (H2SO4)2.HSO4-, ion signal of NH3.(H2SO4)3.HSO4-, ion signal of NH3.(H2SO4)4.HSO4-] depicted in FIG7f of the above publication</p> <p> </p> <p><a href="https://zenodo.org/api/files/0375de20-1ec1-4185-82f6-ec6eda9466a5/mass_defect_FIG9.dat">mass_defect_FIG9.dat</a></p> <p>[mass (Da), mass defect (Da), signal intensity (AU)] depicted in FIG9 of the above publication</p> <p>Rest of the data reported in the publication can be obtained from https://smear.avaa.csc.fi/</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Dataset for Measurement report: Ion clusters as indicator for local new particle formation
<p>Data for Measurement report: Ion clusters as indicator for local new particle formation. There are two files, negative_ion_concentrations.csv and positive_ion_concentrations.csv. The former (latter) includes absolute number concentrations for 1.87, 2.16, 2.49, and 2.88 nm negative (positive) ions. The unit for these concentrations is #/cm<sup>-3</sup>.</p> <p>Contact Santeri Tuovinen (santeri.tuovinen@helsinki.fi) for more details.</p>
Dataset for Influence of Aerosol Chemical Composition on Condensation Sink Efficiency and New Particle Formation in Beijing
<p>This dataset includes one year long measurements of particle number size distributions, chemical composition of PM2.5, gaseous precursors, and meteorological parameters in urban Beijing, China, from March 1, 2018, to March 1, 2019. It is the supplementary data for "Influence of Aerosol Chemical Composition on Condensation Sink Efficiency and New Particle Formation in Beijing", which is published by Environmental Science & Technology Letter. Please cite: Wei Du, Jing Cai, Feixue Zheng, Chao Yan, Ying Zhou, Yishuo Guo, Biwu Chu, Lei Yao, Liine M. Heikkinen, Xiaolong Fan, Yonghong Wang, Runlong Cai, Simo Hakala, Tommy Chan, Jenni Kontkanen, Santeri Tuovinen, Tuukka Petäjä, Juha Kangasluoma, Federico Bianchi, Pauli Paasonen, Yele Sun, Veli-Matti Kerminen, Yongchun Liu, Kaspar R. Daellenbach, Lubna Dada, and Markku Kulmala Environmental Science & Technology Letters Article ASAP DOI: 10.1021/acs.estlett.2c00159</p>
Investigation of New Particle Formation mechanisms and aerosol processes at the Marambio Station, Antarctic Peninsula
<p>This dataset belongs to : <strong>Investigation of New Particle Formation mechanisms and aerosol processes at the Marambio Station, Antarctic Peninsula</strong></p> <p><em>Quéléver, L. L. J., Dada, L., Asmi, E., Lampilahti, J., Chan, T., Ferrara, J. E., Copes, G. E., Pérez-Fogwill, G., Barreira, L., Aurela, M., Worsnop, D. R., Jokinen, T., and Sipila, M.: Investigation of New Particle Formation mechanisms and aerosol processes at the Marambio Station, Antarctic Peninsula, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-1063, in review, 2022</em></p> <p> </p> <p>The Mass spectrometry and particle data were the result of a measurement campaign performed at the Marambio Station, Antarctica during the austral summer 2018 </p> <p>The data set includes:</p> <p>- Time series for sulfuric acid, methane sulfonic acid and iodic acid concentration </p> <p>- Mass defect data for a new particle formation case study on 16-02-2018</p> <p>- Time series for nucleation rates </p> <p>- Time series for formation rates </p> <p>Please refer to the individual *README.txt files and the corresponding publication.</p> <p>For further information please contact the corresponding author: Lauriane L.J. Quéléver: Lauriane.quelever@helsinki.fi</p>
Dataset for "On the potential of the Cluster Ion Counter (CIC) to observe local new particle formation, condensation sink and growth rate of newly formed particles"
<p>Data for Kulmala et al. (2024 )"On the potential of the Cluster Ion Counter (CIC) to observe local new particle formation, condensation sink and growth rate of newly formed particles" (https://doi.org/10.5194/ar-2024-14).</p> <p>Included in the file are number concentrations of sub-2 nm ions and 2-2.3 nm ions measured with Cluster Ion Counter (CIC) and Neutral cluster and Air Ion Spectrometer (NAIS) at SMEAR II station in Hyytiälä, Finland. Concentrations of 1-2 nm ions measured with the NAIS are also included. Sub-2 nm (2-2.3 nm) ion concentrations measured with CIC are refered as Channel 1 (Channel 2-Channel 3) in the .csv file.</p> <p>Contact Santeri Tuovinen (santeri.tuovinen@helsinki.fi) for more details.</p>
Wintertime new particle formation in the rural area of North China Plain: influencing factors and possible formation mechanism
<p><strong>data for <em>Wintertime new particle formation in the rural area of North China Plain: influencing factors and possible formation mechanism</em></strong></p>
Data used in the GRL paper (2023GL103545) entitled "Synergetic Effects of Isoprene and HOx on Biogenic New Particle Formation"
<p>We are depositing data used in our manuscript entitled "Synergetic Effects of Isoprene and HOx on Biogenic New Particle Formation" submitted to Geophysical Research Letters for publication, as required by the AGU publication policy.</p> <p>Main Figure 1 was prepared using July 2022 particle data from the SMPS and PSM instruments, available in SMPS_PSM.zip</p> <p>Main Figure 2 was prepared using July 2022 mass spectrometer data from the CI-APi-TOF, available in APiTOF.zip</p> <p>Main Figure 3 was prepared using July 2022 mass spectrometer data from the CI-APi-TOF, available in APiTOF.zip</p> <p>Main Figure 4 was prepared using July 2022 mass spectrometer data from the CI-APi-TOF, available in APiTOF.zip, as well as modelling data available in ModelData.zip</p> <p>Supporting Figure S2 was prepared using June 2022 particle data from the SMPS and PSM instruments, available in SMPS_PSM.zip</p> <p>Supporting Figure S3 was prepared using July 2022 particle data from the SMPS and PSM instruments, available in SMPS_PSM.zip</p> <p>Supporting Figure S4 was prepared using modelling data available in ModelData.zip</p> <p>Supporting Figure S5 was prepared using July 2022 mass spectrometer data from the CI-APi-TOF, available in APiTOF.zip</p> <p>Supporting Figure S6 was prepared using July 2022 mass spectrometer data from the CI-APi-TOF, available in APiTOF.zip</p> <p>Supporting Figure S7 was prepared using GC Calbiration data from the GC-FID, available in the "Figure S7" folder in Figures.zip</p> <p>Supporting Figure S8 was prepared using NH3 CIMS data available in NH3CIMS.zip</p> <p>Supporting Figure S9 was prepared using December 2022 mass spectrometer data from the CI-APi-TOF, available in APiTOF.zip</p> <p>Each archive contains a readme file describing the individual data sets in additional detail.</p>
Data of "High concentration of atmospheric sub-3 nm particles in polluted environment of eastern China: new particle formation and traffic emission"
<p>The attached data is the measurement data at SORPES station in Yangtze Rive Delta of China. The data is for analysis and figures in the study of "High concentration of atmospheric sub-3 nm particles in polluted environment of eastern China: new particle formation and traffic emission". Currently the manuscript is submitted to JGR-A.</p>
Causes and importance of new particle formation in the present-day and pre-industrial atmospheres: supporting data
<p>Data presented in the manuscript "Causes and importance of new particle formation in the present-day and pre-industrial atmospheres" currently in review.</p> <p>Particle number concentrations (files with initial word "CCN" or "N3") have units of particles per cubic centimetre, calculated at ambient temperature and pressure. Files with initial word "solar" have units of percent. Ion production rates have units ion pairs per cubic centimetre per second.</p> <p>The simulation data presented here was generated with the GLOMAP aerosol model, https://www.see.leeds.ac.uk/research/icas/research-themes/atmospheric-chemistry-and-aerosols/groups/aerosols-and-climate/the-glomap-model/ running on a T42 grid.</p> <p>The manuscript associated with this data was written using results from the CLOUD experiment at CERN, and the author list is a subset of the CLOUD collaboration.</p> <p> </p> <p> </p>
Data for: Seasonal differences in observed versus modeled new particle formation at two European boreal stations
<p>Model dataset variables produced from the IFS and TM5 modules in EC-Earth3 version 3.4.0 which contains the control case and four experiments with the NPF lookup table. This paper is under review.</p> <p>The files contain:</p> <ul> <li>NetCDF files from TM5 general output for each simulation at the two location grid points.</li> </ul> <p>File-name description of the EC-Earth3 experiments: "Hyyt" = Hyytiälä, "Mossa" = Hyltemossa.</p> <p>"ricc2" = CLUST-HIGH case</p> <p>"dlpno" = CLUST-Low case</p> <p>"bono" = CLUST-Low+Riccobono case</p> <p>"ctrl" = Model control run case</p> <p>"nonpf" = No NPF case</p> <ul> <li>Compressed tar file of NetCDF data from IFS output for all four simulations. All IFS data have been averaged to monthly means from 3-hourly grib datasets.</li> </ul> <p> </p> <ul> <li>ADCHEM base-case particle number size distributions from Hyytiälä and Hyltemossa.</li> </ul>
Calculated parameters related to new particle formation events at an urban and a mountain station in Northern China
<p>Data sets included in publication: Measurement Report: New particle formation characteristics at an urban and a mountain station in Northern China</p> <p>https://acp.copernicus.org/preprints/acp-2021-266/ </p>
The role of ions in new-particle formation in the CLOUD chamber: supporting data
<p>Data that is presented in the publication "The role of ions in new-particle formation in the CLOUD chamber", ACP 2017.</p>
Dataset for "Aerosol mixing state, new particle formation, and cloud droplet number concentration in an urban environment "
<p>Inverted HTDMA data, parcel model input, and parcel model output associated with the manuscript. HTDMA data are from the TRACER campaign and inverted using the LSQ1 or LSQ2 method described in Petters (2021). Model input is a 4 lognormal aerosol mode representation of the aerosol size distribution during TRACER, obtained by fitting measured size distributions obtained from mobility-based and optical-based sensors. Hygroscopicity is assigned for each mode based on observed size-resolved hygroscopicity from the HTDMA measurements. Model output refers to parcel model simulations using the pyrcel model (Rothenberg and Iompar).</p> <p>Petters, M. D.: Revisiting matrix-based inversion of scanning mobility particle sizer (SMPS) and humidified tandem differential mobility analyzer (HTDMA) data, Atmos. Meas. Tech., 14, 7909–7928, https://doi.org/10.5194/amt-14-7909-2021, 2021. </p> <p>Rothenberg, D. and lompar: darothen/pyrcel: Pyrcel v1.3.2, , https://doi.org/10.5281/zenodo.8378595, 2023.563</p>
New particle formation from isoprene under upper-tropospheric conditions: data sources
<p>Data resources for manuscript: "<strong>New particle formation from isoprene under upper-tropospheric conditions</strong>"</p>
Dataset for "Observations of new particle formation, modal growth rates, and direct emissions of sub-10 nm particles in an urban environment"
<p>Dataset for "Observations of new particle formation, modal growth rates, and direct emissions of sub-10 nm particles in an urban environment". Each directory contains a README.md including descriptions in Markdown format.</p>
Data for manuscript "The synergistic role of sulfuric acid, bases, and oxidized organics governing new-particle formation in Beijing"
<p>Data for the manuscript "The synergistic role of sulfuric acid, bases, and oxidized organics governing new-particle formation in Beijing" submitted to Geophysical Research Letters</p>
Continuous new particle formation in a Mediterranean coastal environment: Insights from atmospheric ions behaviour analysis
<p>data used for: </p> <p><strong><span lang="EN-GB">Continuous new particle formation in a Mediterranean coastal environment: Insights from atmospheric ions behaviour analysis</span></strong></p>
An evaluation of new particle formation events in Helsinki during a Baltic Sea cyanobacterial summer bloom
<p>The data set is linked to the manuscript: Thakur, R. C., Dada, L., Beck, L. J., Quéléver, L. L. J., Chan, T., Marbouti, M., He, X.-C., Xavier, C., Sulo, J., Lampilahti, J., Lampimäki, M., Tham, Y. J., Sarnela, N., Lehtipalo, K., Norkko, A., Kulmala, M., Sipilä, M., and Jokinen, T.: An evaluation of new particle formation events in Helsinki during a Baltic Sea cyanobacterial summer bloom, Atmos. Chem. Phys. Discuss. 2022.</p>
Measurement report: The variation properties of aerosol hygroscopic growth related to chemical composition during new particle formation days in a coastal city of southeast China
<p>The aerosol scattering hygroscopic growth factor (f(RH)), along with conventional air pollutants and meteorological parameters were simultaneously observed from February to April 2022 in Xiamen, a coastal city of southeast China.</p>
Data for: Importance of methanesulfonic acid in new particle formation in a coastal city of Southeast China
<p>Data is presented in the manuscript "Importance of methanesulfonic acid in new particle formation in a coastal city of Southeast China" submitted to Geophysical Research Letters. In this study, we study the new particle formation in Xiamen, a coastal city of southeast China.</p>
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OpenNeuro
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