Data from: Aerosol-Limited Effects on Cloud Condensation Nuclei in Clean Conditions in the Tropical South Atlantic Boundary Layer during LASIC
Two-hour averaged aerosol size distributions
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| Description | This file contains 2-hour averaged aerosol size distributions measured by the TSI Scanning Mobility Particle Sizer (SMPS; TSI Inc., Shorewood, MN, USA) and Ultra-High Sensitivity Aerosol Spectrometer (UHSAS; Droplet Measurement Technologies (DMT) Inc., Longmont, CO, USA). SMPS_PNSD_2hr and UHSAS_PNSD_2hr variables represent the particle number size distributions (dN/dlog10Dp, cm-3 μm-1) of the SMPS and UHSAS, respectively, with rows representing the diameter and columns representing time. The mid-point diameters (μm) are provided in the variables SMPS_d_mid and UHSAS_d_mid. The mean log10 difference of the mid-point diameters are provided in the variables SMPS_dlogDp and UHSAS_dlogDp. LASIC_time_2hr is the time matrix of data in the datenum MATLAB format (days since January 0 0000 00:00:00 UTC). |
Two-hour retrievals of the Hoppel minimum diameter (plain text format)
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| Description | This file contains the same data as in hoppel_min_out.mat as a column-delimited file. The first 6 columns contain the date (yyyy,mm,dd,HH,MM,SS). The 7th column contains the Hoppel minimum diameter in micrometer units. |
Two-hour retrievals of the Hoppel minimum diameter (MATLAB format)
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| Description | This file contains 2-hour retrievals of the Hoppel minimum diameter using the minimum concentration between fitted submicron size distribution modes (from the SMPS). The variable hoppel_min contains the Hoppel minimum diameter in micrometer units. LASIC_time_2hr is a time vector of data in the datenum MATLAB format (days since January 00000 00:00:00 UTC). |
Fitting parameters of aerosol size distribution (plain text format)
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| Description | This file contains the same data as in LASIC_aerosol_size_modes.mat as a column delimited file. The first 6 columns contain the date (yyyy,mm,dd,HH,MM,SS). Columns 7-9 are the Aitken-mode fitting parameters (number concentration, cm-3; number-mean mode diameter; micrometers; number-mean geometric standard deviation, unitless), columns 10-12 are accumulation-mode fitting parameters, and columns 13-15 are sea-spray mode fitting parameters. |
Fitting parameters of aerosol size distribution (MATLAB format)
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| Description | This file contains retrieved fitting parameters for superimposed lognormal fits to the measured aerosol size distributions using the SMPS for submicron modes (Aitken and accumulation) and UHSAS and nephelometer supermicron scattering for the sea spray mode (Dedrick et al., 2022). Variables with the prefix ait_ are for the Aitken, acc_ for accumulation mode, and sea_spray_ for the sea-spray mode. Variables with N are number concentration (cm-3), diam are number-mean mode diameter (micrometers), gsd are number-mean geometric standard deviation (unitless). D_mie is a vector of 100 lognormally spaced diameters for sizes of ~10 nanometers to 10 micrometers. LASIC_time_2hr is a time vector of data in the datenum MATLAB format (days since January 0 0000 00:00:00 UTC). |
Clean versus smoky classification
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| Description | Text file that contains a time series of binary classifications of clean (1) or smoky (0) 2-hour periods. |
Code for Hoppel minimum diameter retrieval
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| Description | This code uses the measured size distributions and fitting parameters to retrieve the Hoppel minimum diameter. The code compares three different methods to retrieve the Hoppel minimum: (1) the minimum concentration between fitted aerosol size distributions, (2) the intersection of Aitken and accumulation modes, and (3) using the fitted mode diameters to find the diameter of the minimum concentration of the measured size distributions. The output of the code includes plots of Hoppel minimum comparisons as a .png figure (hoppel_min_compare.png) and .mat (hoppel_min_out.mat) and .txt (hoppel_min_out.txt; comma delimited) files of the Hoppel minimum diameter using method (2). |
Code for Scanning mobility particle sizer (SMPS) mode fitting
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This codes uses the 2-hour averaged measured SMPS number size distributions to fit two |
Code for number and mass size distributions
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| Description | This function creates number and mass size distributions based on lognormal mode fitting parameters. |
- Collection
- Cite This Work
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Dedrick, Jeramy L.; Russell, Lynn M.; Sedlacek III, Arthur J.; Kuang, Chongai; Zawadowicz, Maria A.; Lubin, Dan (2023). Data from: Aerosol-Limited Effects on Cloud Condensation Nuclei in Clean Conditions in the Tropical South Atlantic Boundary Layer during LASIC. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0CN7432
- Description
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This collection provides codes and data that are described in the publication "Aerosol-Limited Effects on Cloud Condensation Nuclei in Clean Conditions in the Tropical South Atlantic Boundary Layer during LASIC." Measurements used in this publication were collected during the Department of Energy Atmospheric Radiation Measurement Layered Atlantic Smoke Interactions with Clouds (LASIC) campaign from June 2016 to October 2017. Fitting parameters of the aerosol size distribution were retrieved using an automated lognormal fitting procedure and an algorithm that combines nephelometer scattering and UHSAS mass size distributions by applying a Mie inversion (Dedrick et al., 2022). The classification of clean and smoky periods were found using a combination of physical and chemical tracers of continental influence. These datasets are provided as text files at 2-hourly resolution during the LASIC campaign. The retrieval codes are provided as MATLAB scripts.
- Date Collected
- 2016-06 to 2017-10
- Creation Date
- 2022 to 2023
- Date Issued
- 2023
- Author
- Analysts
- Data Contributors
- Contributors
- Technical Details
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The retrieved data were processed using MATLAB version R2023a. The scripts to retrieve the collected data were also written using MATLAB version R2023a.
- Funding
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This research was supported by the Director, Office of Science, Office of Biological and Environmental Research, Climate and Environmental Sciences Division of the U.S. Department of Energy under Contract DE-SC0021045.
- Topics
- Cartographics
Point: -7.96696,-14.34981
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- Language
- English
- Identifier
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Identifier: Jeramy L. Dedrick: https://orcid.org/0000-0003-3569-0235
Identifier: Lynn M. Russell: https://orcid.org/0000-0002-6108-2375
- Related Resources
- Dedrick, J. L., Russell, L. M., Sedlacek, A. J., III, Kuang, C., Zawadowicz, M. A., & Lubin, D. (2024). Aerosol-correlated cloud activation for clean conditions in the tropical Atlantic boundary layer during LASIC. Geophysical Research Letters, 51, e2023GL105798. https://doi.org/10.1029/2023GL105798
- Department of Energy Atmospheric Radiation Measurement (ARM) Data Discovery: https://adc.arm.gov/discovery/
- GitHub repository of codes used in this work by author Jeramy Dedrick: https://github.com/jdedrick95/LASIC2023_aerosol_limitation
- Dedrick, Jeramy L.; Saliba, Georges; Williams, Abigail S.; Russell, Lynn M.; Lubin, Dan (2022). Data from: Retrieval of the Sea Spray Aerosol Mode from Submicron Particle Size Distributions and Supermicron Scattering during LASIC. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0GT5NCR
- Dedrick, J. L., Saliba, G., Williams, A. S., Russell, L. M., and Lubin, D. (2022). Retrieval of the sea spray aerosol mode from submicron particle size distributions and supermicron scattering during LASIC, Atmos. Meas. Tech., 15, 4171–4194. https://doi.org/10.5194/amt-15-4171-2022
- Modini, R.L., Frossard, A.A., Ahlm, L., Russell, L.M., Corrigan, C.E., Roberts, G.C., Hawkins, L.N., Schroder, J.C., Bertram, A.K., Zhao, R., Lee, A.K.Y., Abbatt, J.P.D., Lin, J., Nenes, A., Wang, Z., Wonaschutz, A., Sorooshian, A., Noone, K.J., Jonsson, H., Seinfeld, J.H., Toom-Sauntry, D., Macdonald, A.M., and Leaitch, W.R.: Primary marine aerosol-cloud interactions off the coast of California, Journal of Geophysical Research: Atmospheres, May 2015, 120, 4282-4303. https://doi.org/10.1002/2014JD022963
- Saliba, G., Chen, C., Lewis, S., Russell, L., Rivellini, L., Lee, A., Quinn, P., Bates, T., Haentjens, N., Boss, E., Karp-Boss, L., Baetge, N., Carlson, C., and Behrenfeld, M.: Factors driving the seasonal and hourly variability of sea-spray aerosol number in the North Atlantic, Proceedings of the National Academy of Sciences of the United States of America, Oct 2019, 116, 20309-20314. https://doi.org/10.1073/pnas.1907574116
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- License
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Creative Commons Attribution 4.0 International Public License
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- UC Regents
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Under copyright (US)
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Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp)
- Last Modified
2024-08-22