Data for: Low temperature ice nucleation of sea spray and secondary marine aerosols under cirrus cloud conditions
Data files
Oct 24, 2023 version files 25.80 MB
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Low_temp_ice_nucleation_SSA_SMA_CFDC_2023.zip
25.79 MB
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README.md
9.69 KB
Oct 24, 2023 version files 25.80 MB
-
Low_temp_ice_nucleation_SSA_SMA_CFDC_2023.zip
25.79 MB
-
README.md
9.69 KB
Abstract
Sea spray aerosols (SSA) represent one of the most abundant aerosol types on a global scale and have been observed at all altitudes including the upper troposphere. SSA has been explored in recent years as a source of ice nucleating particles (INPs) in cirrus clouds due to the ubiquity of cirrus clouds and the uncertainties in their radiative forcing. This study expands upon previous works on low temperature ice nucleation of SSA by investigating the effects of atmospheric aging of SSA and the ice nucleating activity of newly formed secondary marine aerosols (SMA) using an oxidation flow reactor. Polydisperse aerosol distributions were generated from a Marine Aerosol Reference Tank (MART) filled with 120 L of real or artificial seawater and were dried to very low relative humidity to crystallize the salt constituents of SSA prior to their subsequent freezing, which was measured using a Continuous Flow Diffusion Chamber (CFDC). Results show that for both primary SSA (pSSA), and the aged SSA and SMA (aSSA+SMA) at temperatures > 220 K, homogeneous conditions (92–97 % relative humidity with respect to water (RHw)) were required to freeze 1 % of the particles. However, below 220 K, heterogeneous nucleation occurs for both pSSA and aSSA+SMA at much lower RHw, where up to 1 % of the aerosol population freezes between 75–80 % RHw. Similarities between freezing behaviors of the pSSA and aSSA+SMA at all temperatures suggest that the contributions of condensed organics onto the pSSA or alteration of functional groups in pSSA via atmospheric aging did not hinder the major heterogeneous ice nucleation process at these cirrus temperatures that has previously been shown to be dominated by the crystalline salts. Occurrence of 1% frozen fraction of SMA, generated in the absence of primary SSA, was observed at/near water saturation below 220 K, suggesting it is not an effective INP at cirrus temperatures, similar to findings in the literature of other organic aerosols. Thus, any SMA coatings on the pSSA would only decrease the ice nucleation behavior of pSSA if the organic components were able to significantly delay water uptake of the inorganic salts, and apparently, this was not the case. Results from this study demonstrate the ability of lofted primary sea spray particles to remain an effective ice nucleator at cirrus temperatures, even after atmospheric aging has occurred over a period of days in the marine boundary layer prior to lofting. We were not able to address aging processes under upper tropospheric conditions.
README for “Low Temperature Ice Nucleation of Sea Spray and Secondary Marine Aerosols under Cirrus Cloud Conditions”
Ryan Patnaude
Postdoctoral Fellow
Colorado State University
Department of Atmospheric Science
1371 Campus Delivery, Fort Collins, CO 80526
ryan.patnaude@colostate.edu
https://orcid.org/0000-0003-3129-8279
1.0 Data Set Overview
These measurements were from experiments conducted at Colorado State University to better understand the ice nucleating ability of sea spray and secondary marine aerosols at cirrus cloud temperatures. This archive is for the Colorado State University continuous flow diffusion chamber (CFDC) instrument, and aerosol particle data from aerodynamic particle sizer (APS) and scanning mobility particle sizer (SMPS) instruments. The experiments were conducted between March 3rd and March 17th of 2021.
Experimental days:
03/04/2021 – 03/04/2021: Artificial seawater (ASW) with oxidized particles.
03/07/2021 – 03/08/2021: ASW with primary emitted particles.
03/09/2021: Artificial seawater with secondary marine aerosols (SMA).
03/10/2021: DI water blank test.
03/12/2021 – 03/13/2021: Seawater (SW) with primary emitted particles.
03/14/2021 – 03/15/2021: SW with oxidized particles
03/16/2021: SW with SMA.
2.0 Instrument Description:
The Colorado State University (CSU) Continuous Flow Diffusion Chamber (CFDC) is an ice-thermal gradient diffusion chamber that optically detects the freezing of single aerosol particles from air after exposure to controlled temperature and humidity conditions, including following liquid cloud particle activation. The operating principles of the vertically-oriented, cylindrical-walled CFDC is described in the earlier works of Rogers (1988), Rogers et al. (2001) and were modified to measure at temperatures down to -70 ºC (Patnaude et al., 2021).
3.0 Data Format:
CFDC data are reported in standard .csv format. The list of variables and units are given in the data file header but are repeated here.
Time (sec), (second), seconds of the day past midnight MST
Total Flow Ctrlr Output, (standard liters per minute) – control setting for column total flow
Sheath Flow Ctrlr Output, (standard liters per minute) – control setting for column sheath flow
Chamber Pressure, (hectopascal) – pressure inside of CFDC column
Inlet Filter, (unitless) – inlet filter on/off variable (0 for off filter, 1 when pulling on filter)
Sheath Flow SP (slpm), (standard liters per minute) – standard sheath flow inside CFDC
Sheath Flow SP (vlpm), (volumetric liters per minute) – volumetric sheath flow inside CFDC
Total Flow SP (slpm), (standard liters per minute) – standard total flow inside CFDC
Total Flow SP (vlpm), (volumetric liters per minute) – volumetric total flow inside CFDC
Bin1-Bin256, (counts per second) – particle counts for each OPC size channel
**Inlet Flow (vlpm), (**volumetric liters per minute) – volumetric flow at the inlet of the CFDC
Avg Lam Temp (C), (Celsius) – average CFDC column temperature
Avg Lam SSw (%), (percent) – average CFDC column supersaturation with respect to water
Avg Lam SSi (%), (percent) – average CFDC column supersaturation with respect to ice
Residence Time (s), (second) – residence time of airflow inside CFDC
The CFDC file names archived are:
CFDC003_20220303112824_aSSA_SMA_ASW.csv
CFDC003_20220304000000_aSSA_SMA_ASW.csv
CFDC003_20220307000000_ pSSA_ASW.csv
CFDC003_20220308085308_ pSSA_ASW.csv
CFDC003_20220309143831_SMA_ASW.csv
CFDC003_20220310000000_DI.csv
CFDC003_20220312000000_pSSA_SW.csv
CFDC003_20220313000000_pSSA_SW.csv
CFDC003_20220314115342_aSSA_SMA_SW.csv
CFDC003_20220315000000_aSSA_SMA_SW.csv
CFDC003_20220316000000_SMA_SW.csv
APS data are reported in standard .txt format. The list of variables and units are given in the data file header and repeated below. APS data are reported for APS1 and APS2, which refers to the location of the instrument, either upstream and downstream of the MART, respectively. Please refer to the manuscript section 2.1 for a more detailed description of the experimental configuration.
Sample (unitless) – Sample number of the current data sample.
**Date, (**MM/DD/YY) – standard date format
Start Time, (mountain standard time) – start time of the APS data collection
Aerodynamic Diameter, (micron) – aerodynamic particle diameter for each size bin
dN/dlogDp, (number per cubic cm) – particle counts for each size bin
Total Flow, (liters per minute) - the total flow rate of the sample aerosol
Sheath Flow, (liters per minute) - the flow rate of the outer nozzle (sheath) flow
Laser Power, (percent) - percent of laser power used from 0 to 100%. Default is 75%
Laser Current, (milliamp) – laser current between 0 and 100
Status Flags, (unitless) – instrument status flags. If no flags are set, the message “No Errors Detected” is displayed
The APS file names archived are:
APS1_aSSA_SMA_ASW_030322.TXT
APS1_aSSA_SMA_ASW_030422.TXT
APS1_aSSA_SMA_SW_031422.TXT
APS1_aSSA_SMA_SW_031522.TXT
APS1_DI_031022.TXT
APS1_pSSA_ASW_030722.TXT
APS1_pSSA_ASW_030822.TXT
APS1_pSSA_SW_031222.TXT
APS1_pSSA_SW_031322.TXT
APS1_SMA_ASW_030922.TXT
APS1_SMA_SW_031622.TXT
APS2_aSSA_SMA_ASW_030322.TXT
APS2_aSSA_SMA_ASW_030422.TXT
APS2_aSSA_SMA_SW_031422.TXT
APS2_aSSA_SMA_SW_031522.TXT
APS2_DI_031022.TXT
APS2_pSSA_ASW_030722.TXT
APS2_pSSA_ASW_030822.TXT
APS2_pSSA_SW_031222.TXT
APS2_pSSA_SW_031322.TXT
APS2_SMA_ASW_030922.TXT
APS2_SMA_SW_031622.TXT
SMPS data are reported in standard .txt format. The list of variables and units are given in the data file header and repeated below. SMPS data are reported for SMPS1 and SMPS2, which refers to the location of the instrument, either upstream and downstream of the MART, respectively. Please refer to the manuscript section 2.1 for a more detailed description of the experimental configuration.
Sample (unitless) – Sample number of the current data sample.
Date, (MM/DD/YY) – standard date format
Start Time, (mountain standard time) – start time of the APS data collection
**Diameter Midpoint, (**counts per cubic cm) – particle diameter defining each size bin and particle counts for each size bin
Title status flag, (unitless) – instrument status flag
The SMPS file names archived are:
SMPS1_aSSA_SMA_ASW_030422.TXT
SMPS1_aSSA_SMA_SW_031422.TXT
SMPS1_aSSA_SMA_SW_031522.TXT
SMPS1_DI_031022.TXT
SMPS1_pSSA_ASW_030722.TXT
SMPS1_pSSA_ASW_030822.TXT
SMPS1_pSSA_SW_031222.TXT
SMPS1_pSSA_SW_031322.TXT
SMPS1_SMA_ASW_030922.TXT
SMPS1_SMA_SW_031622.TXT
SMPS2_aSSA_SMA_ASW_030322.TXT
SMPS2_aSSA_SMA_ASW_030422.TXT
SMPS2_aSSA_SMA_SW_031422.TXT
SMPS2_aSSA_SMA_SW_031522.TXT
SMPS2_DI_031022.TXT
SMPS2_pSSA_ASW_030722.TXT
SMPS2_pSSA_ASW_030822.TXT
SMPS2_pSSA_SW_031222.TXT
SMPS2_pSSA_SW_031322.TXT
SMPS2_SMA_ASW_030922.TXT
SMPS2_SMA_SW_031622.TXT
3.0 Code/Software:
All data processing and figure plotting was conducted using MATLAB scripts that are listed below. Use of these script require a proprietary license with the base package of MATLAB. Please refer questions on using these scripts to the email listed above. The majority of the MATLAB scripts listed below are functions that are run through the CFDC_import_process.m script
The file names archived are:
CFDC_import_process.m – master script that loads in CFDC, APS and SMPS data for functions listed below.
calc_opc_background.m – function to calculate the background aerosol distribution for ice particle calculation in IN_RH_space_MART.m
cfdc_opc_particle_size_dist.m – plots CFDC optical particle counter data for different temperature and relative humidity. (Figure 3)
cfdc_scan_plot_MART.m – function that plots the CFDC relative humidity scans (Figure 5)
import_APS_files_RJP.m – function that imports APS data in import_SMPS_APS_calc_particle_conc.m
import_APS_files.m – function that imports APS data in SizeDist.m
import_SMPS_APS_calc_particle_conc.m – function that imports SMPS and APS data in IN_RH_space_MART.m
import_SMPS_files_RJP.m – function that imports SMPS data in import_SMPS_APS_calc_particle_conc.m
import_SMPS_files.m – function that imports SMPS data in SizeDist.m
IN_RH_space_MART.m – function in CFDC_import_process.m that calculate the ice active fraction used for Figures 6 and 7.
OPC_bins_RHscans.m - (used for Figure S3)
SizeDist.m – script that imports SMPS and APS data to plot size distributions shown in Figure 4
4.0 References
Patnaude, R. J., Perkins, R. J., Kreidenweis, S. M. and DeMott, P. J.: Is Ice Formation by Sea Spray Particles at Cirrus Temperatures Controlled by Crystalline Salts?, ACS Earth Sp. Chem., 5(9), 2196–2211, doi:10.1021/acsearthspacechem.1c00228, 2021.
Rogers, D. C.: Development of a continuous flow thermal gradient diffusion chamber for ice nucleation studies, Atmospheric Research, 22(2), 149-181, doi:10.1016/0169-8095(88)90005-1, 1988.
Rogers, D. C., P. J. DeMott, S. M. Kreidenweis and Y. Chen: A continuous flow diffusion chamber for airborne measurements of ice nuclei, J. Atmos. Oceanic Technol., 18, 725-741, doi:10.1175/1520-0426(2001)018<0725:ACFDCF>2.0.CO;2, 2001.
- Patnaude, Ryan; Moore, Kathryn; Perkins, Russell et al. (2023). Low Temperature Ice Nucleation of Sea Spray and Secondary Marine Aerosols under Cirrus Cloud Conditions [Preprint]. Copernicus GmbH. https://doi.org/10.5194/egusphere-2023-1016
