Articles | Volume 10, issue 11
https://doi.org/10.5194/amt-10-4341-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-4341-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Nov 2017
Research article |
| 14 Nov 2017
On the parametrization of optical particle counter response including instrument-induced broadening of size spectra and a self-consistent evaluation of calibration measurements
Adrian Walser
Ludwig Maximilian University (LMU), Meteorological Institute, Munich, Germany
German Aerospace Center (DLR), Institute of Atmospheric Physics, Oberpfaffenhofen, Germany
Daniel Sauer
German Aerospace Center (DLR), Institute of Atmospheric Physics, Oberpfaffenhofen, Germany
Antonio Spanu
University of Vienna (UNIVIE), Aerosol Physics and Environmental Physics, Vienna, Austria
Josef Gasteiger
University of Vienna (UNIVIE), Aerosol Physics and Environmental Physics, Vienna, Austria
Bernadett Weinzierl
CORRESPONDING AUTHOR
University of Vienna (UNIVIE), Aerosol Physics and Environmental Physics, Vienna, Austria
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- Estimation of dust related ice nucleating particles in the atmosphere: Comparison of profiling and in-situ measurements M. Haarig et al. 10.1051/e3sconf/20199904002
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- Determining the cutoff diameter and counting efficiency of optical particle counters with an aerodynamic aerosol classifier and an inkjet aerosol generator S. Tran et al. 10.1080/02786826.2020.1777252
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- A review of coarse mineral dust in the Earth system A. Adebiyi et al. 10.1016/j.aeolia.2022.100849
- Below-cloud scavenging of aerosol by rain: a review of numerical modelling approaches and sensitivity simulations with mineral dust in the Met Office's Unified Model A. Jones et al. 10.5194/acp-22-11381-2022
- Modelling mineral dust emissions and atmospheric dispersion with MADE3 in EMAC v2.54 C. Beer et al. 10.5194/gmd-13-4287-2020
- Seasonal Changes in Urban PM2.5 Hotspots and Sources from Low-Cost Sensors L. Harr et al. 10.3390/atmos13050694
- Aerosol Physical Characteristics over the Yellow Sea Using Optical Particle Counter Measurement Data Onboard Gisang1 Vessel during the YES-AQ Campaign D. Shin et al. 10.5572/KOSAE.2022.38.2.203
- Air Quality Impacts at an E‐Waste Site in Ghana Using Flexible, Moderate‐Cost and Quality‐Assured Measurements L. Kwarteng et al. 10.1029/2020GH000247
- Calibration of optical particle size spectrometers against a primary standard: Counting efficiency profile of the TSI Model 3330 OPS and Grimm 11-D monitor in the particle size range from 300 nm to 10 μm K. Vasilatou et al. 10.1016/j.jaerosci.2021.105818
- From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors M. Giordano et al. 10.1016/j.jaerosci.2021.105833
Latest update: 23 Nov 2024
Short summary
We present a new approach to model the response of optical particle counters (OPCs) including a simple parametrization for artificial broadening of size spectra induced by the non-ideal behavior of real OPCs. We show a self-consistent way to evaluate calibration measurements and outline how particle number size distributions with realistic uncertainty estimates can be derived. The innovations will improve the accuracy of OPC-derived size distributions and allow to assess their precision.
We present a new approach to model the response of optical particle counters (OPCs) including a...
