We also present the size distribution of the aerosol particles within a diameter range of 0.35 - 40 micron, measured by the OPC of the pm-modulair. However, we encourage caution while using the size distribution data, since it is operated only with the factory calibration.
Metadata Creator:
|
Name:
Abu Sayeed Md Shawon |
Email:
shawon@lanl.gov |
Phone:
906 3709103 |
Street:
Los Alamos National Laboratory, P.O. Box 1663, MS J535, Bikin Atoll Rd, |
City:
Los Alamos |
State:
NM |
Postal:
87544 |
|
Contact Info:
|
Name:
Abu Sayeed Md Shawon |
Email:
shawon@lanl.gov |
Phone:
906 3709103 |
Street:
Los Alamos National Laboratory, P.O. Box 1663, MS J535, Bikin Atoll Rd |
City:
Los Alamos |
State:
NM |
Postal:
87544 |
|
Investigator(s):
| Abu Sayeed Md Shawon (shawon@lanl.gov) 0000-0002-9309-5701 Allison Aiken (aikenac@lanl.gov) 0000-0001-5749-7626 Katherine Benedict (kbenedict@lanl.gov) 0000-0002-0530-8835
|
Related Publications/References: |
Lewis, A.; Peltier, W. R.; von Schneidemesser, E. Low-Cost Sensors for the Measurement of Atmospheric Composition: Overview of Topic and Future Applications; World Meteorological Organization, 2018 |
Ouimette, J. R.; Malm, W. C.; Schichtel, B. A.; Sheridan, P. J.; Andrews, E.; Ogren, J. A.; Arnott, W. P. Evaluating the PurpleAir Monitor as an Aerosol Light Scattering Instrument. Atmospheric Meas. Tech. 2022, 15 (3), 655-676. https://doi.org/10.5194/amt-15-655-2022. |
Kuula, J.; Mäkelä, T.; Aurela, M.; Teinilä, K.; Varjonen, S.; González, Ó.; Timonen, H. Laboratory Evaluation of Particle-Size Selectivity of Optical Low-Cost Particulate Matter Sensors. Atmospheric Meas. Tech. 2020, |
Hagan, D. H.; Kroll, J. H. Assessing the Accuracy of Low-Cost Optical Particle Sensors Using a Physics-Based Approach. Atmospheric Meas. Tech. 2020, 13 (11), 6343–6355. https://doi.org/10.5194/amt-13-6343-2020. |
Crilley, L. R.; Shaw, M.; Pound, R.; Kramer, L. J.; Price, R.; Young, S.; Lewis, A. C.; Pope, F. D. Evaluation of a Low-Cost Optical Particle Counter (Alphasense OPC-N2) for Ambient Air Monitoring. Atmospheric Meas. Tech. 2018, 11 (2), 709-720. https://doi.org/10.5194/amt-11-709-2018. |
Petters, M. D.; Kreidenweis, S. M. A Single Parameter Representation of Hygroscopic Growth and Cloud Condensation Nucleus Activity. Atmospheric Chem. Phys. 2007, 7 (8), 1961-1971. https://doi.org/10.5194/acp-7-1961-2007. |
Di Antonio, A.; Popoola, O.; Ouyang, B.; Saffell, J.; Jones, R.; Di Antonio, A.; Popoola, O. A. M.; Ouyang, B.; Saffell, J.; Jones, R. L. Developing a Relative Humidity Correction for Low-Cost Sensors Measuring Ambient Particulate Matter. Sensors 2018, 18 (9), 2790. https://doi.org/10.3390/s18092790. |
|
Data Citation: | https://doi.org/10.5439/2229368 |
Data Format: | csv |
Data Volume: | NA |
File Naming Convention: | CampaignName_FieldSite_MeasuredVariable |
Abstract: | We deployed another PM sensor (Modulair-PM, QuantAQ) to measure the mass concentration of particulate matter (PM) for three size cuts at both the main site (M1) and supplementary site (S2) of the SAIL from 14 June 2022 to 14 June 2023. The instruments provide the mass concentration of PM1, PM2.5 and PM10. Mass concentrations were calculated based on measurements made with a nephelometer and an OPC. We used Quant-AQ's algorithm [please see their documentation here and the references within] to determine the mass concentrations reported. Here, we present the time series of sample relative humidity, temperature, pressure, and the mass concentration of PM1, PM2.5 and PM10. We also present the size distribution of the aerosol particles within a diameter range of 0.35 - 40 micron, measured by the OPC of the pm-modulair. However, we encourage caution while using the size distribution data, since it is operated only with the factory calibration. Abstract and description of the campaign can be found here : https://www.arm.gov/research/campaigns/amf2022ssb. |
Purpose: | The purpose of this data set is to characterize and quantify the contribution from sub and supermicron particles in a mountainous region. The data was collected over a year time period to determine diurnal and seasonal variability. More information on this campaign can be found here: https://www.arm.gov/research/campaigns/amf2022ssb |
Data Usage: | SAIL_PM_M1.csv and SAIL_S2_PM.csv provides the time series of sample relative humidity, sample temperature, sample pressure, and the mass concentration of PM1, PM2.5 and PM10 for the respective site. This data sets are already processed by Quant-AQ using their algorithm. Time is in ISO format. The variable names are self explanatory. SAIL_S2_SizeDistribution.csv file provides the size distribution of the particles using 24 diameter Bins. The diameter range of each bin is discussed in the readme file. For any further details of the variables, please read the readme.md files. |
Data Credit: | Atmospheric System Research (ASR) for funding |
Arm Sites:
| guc |
Other Sites:
|
Sites | North | West | South | East |
M1: Gunnison, CO; AMF2 (main site for SAIL) | 38.956158 | -106.987856 | 38.956158 | -106.987856 |
S2: Gunnison, CO; Supplemental Facility 2 | 38.898361 | -106.94314 | 38.898361 | -106.94314 |
|
|
Content Time Range:
|
Begin:
2022-06-14
End:
2023-06-14 |
Data Type: | SAIL Supermicron Bioaerosol
|
Scientific Measurements(s): |
Measurement name | Variables |
Mass Concentration of Aerosol Particles | Time sample_pres_mmHg sample_temp_C sample_pres_mmHg pm_1_ug_per_m3 pm_25_ug_per_m3 pm_10_ug_per_m3
|
Number size distribution | Time Diameter_Bins
|
|
Stratum Keyword(s): |
|
Data Quality: |
Attribute Accuracy:
| No formal uncertainty assessments were conducted and no estimates of uncertainty are reported. |
Positional Accuracy:
| No formal positional accuracy tests were conducted |
Consistency and Completeness Report:
| Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details. |
|
Use Restrictions:
| No use constraints are associated with this data. |
Distribution Info:
|
Organization Name: |
ARM Archive User Services
|
Email:
armarchive[at]ornl.gov
|
Phone:
1-888-ARM-DATA
|
Street:
Oak Ridge National Laboratory
|
City:
Oak Ridge
|
State:
Tennessee
|
Postal:
37831-6290
|
|
Additional Missing Info:
| readme.md file contains the description of all variables, author info, documentation, etc. |