Data from: Retrieval of the Sea Spray Aerosol Mode from Submicron Particle Size Distributions and Supermicron Scattering during LASIC ...
The retrieved data were processed using MATLAB version R2019b. The scripts to retrieve the collected data were also written using MATLAB version R2019b. ... : This collection provides code and data that are described in the publication "Retrieval of the Sea Spray Aerosol Mode from Submicron Par...
Main Authors: | , , , , |
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Format: | Dataset |
Language: | English |
Published: |
UC San Diego Library Digital Collections
2022
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Subjects: | |
Online Access: | https://dx.doi.org/10.6075/j0gt5ncr https://library.ucsd.edu/dc/object/bb6596212p |
Summary: | The retrieved data were processed using MATLAB version R2019b. The scripts to retrieve the collected data were also written using MATLAB version R2019b. ... : This collection provides code and data that are described in the publication "Retrieval of the Sea Spray Aerosol Mode from Submicron Particle Size Distributions and Supermicron Scattering during LASIC." Lognormal fitting parameters of the sea spray aerosol mode were retrieved by applying a Mie inversion of submicron particle size distributions from an Ultra-High Sensitivity Aerosol Spectrometer and supermicron scattering from a 3-wavelength integrating nephelometer during the Department of Energy Atmospheric Radiation Measurement Layered Atlantic Smoke Interactions with Clouds campaign. As an external validation of the method, submicron size distributions from a Scanning Electrical Mobility Particle Sizer and 3-wavelength integrating nephelometer were used for comparison with a supermicron size distribution-constrained estimate of the sea spray mode from an Aerodynamic Particle Sizer during the NASA North Atlantic Aerosols and Marine Ecosystems Study. These datasets are provided as text files at 2-hourly ... |
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