Articles | Volume 17, issue 17
https://doi.org/10.5194/acp-17-10855-2017
© 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/acp-17-10855-2017
© 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 Sep 2017
Research article |
| 14 Sep 2017
Uncertainty in counting ice nucleating particles with continuous flow diffusion chambers
Sarvesh Garimella
Department of Earth, Atmospheric and Planetary Sciences,
Massachusetts Institute of Technology, Cambridge, MA, USA
Daniel A. Rothenberg
Department of Earth, Atmospheric and Planetary Sciences,
Massachusetts Institute of Technology, Cambridge, MA, USA
Martin J. Wolf
Department of Earth, Atmospheric and Planetary Sciences,
Massachusetts Institute of Technology, Cambridge, MA, USA
Robert O. David
Institute for Atmospheric and Climate Science, ETH
Zurich, Zurich, Switzerland
Zamin A. Kanji
Institute for Atmospheric and Climate Science, ETH
Zurich, Zurich, Switzerland
Chien Wang
Department of Earth, Atmospheric and Planetary Sciences,
Massachusetts Institute of Technology, Cambridge, MA, USA
Michael Rösch
Department of Earth, Atmospheric and Planetary Sciences,
Massachusetts Institute of Technology, Cambridge, MA, USA
Daniel J. Cziczo
CORRESPONDING AUTHOR
Department of Earth, Atmospheric and Planetary Sciences,
Massachusetts Institute of Technology, Cambridge, MA, USA
Department of Civil and Environmental Engineering,
Massachusetts Institute of Technology, Cambridge, MA, USA
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38 citations as recorded by crossref.
- The Fifth International Workshop on Ice Nucleation phase 2 (FIN-02): laboratory intercomparison of ice nucleation measurements P. DeMott et al. 10.5194/amt-11-6231-2018
- Condensation/immersion mode ice-nucleating particles in a boreal environment M. Paramonov et al. 10.5194/acp-20-6687-2020
- A view on recent ice-nucleating particle intercomparison studies: why the uncertainty of the activation temperature matters J. Schrod & H. Bingemer 10.5194/amt-18-2591-2025
- Development and characterization of the Portable Ice Nucleation Chamber 2 (PINCii) D. Castarède et al. 10.5194/amt-16-3881-2023
- Heterogeneous ice nucleation properties of natural desert dust particles coated with a surrogate of secondary organic aerosol Z. Kanji et al. 10.5194/acp-19-5091-2019
- A link between the ice nucleation activity and the biogeochemistry of seawater M. Wolf et al. 10.5194/acp-20-15341-2020
- Sensitivity of Lake-Effect Cloud Microphysical Processes to Ice Crystal Habit and Nucleation during OWLeS IOP4 L. Gaudet et al. 10.1175/JAS-D-19-0004.1
- Field intercomparison of ice nucleation measurements: the Fifth International Workshop on Ice Nucleation Phase 3 (FIN-03) P. DeMott et al. 10.5194/amt-18-639-2025
- Soot PCF: pore condensation and freezing framework for soot aggregates C. Marcolli et al. 10.5194/acp-21-7791-2021
- Measurement report: Introduction to the HyICE-2018 campaign for measurements of ice-nucleating particles and instrument inter-comparison in the Hyytiälä boreal forest Z. Brasseur et al. 10.5194/acp-22-5117-2022
- Ice‐Nucleating Particles That Impact Clouds and Climate: Observational and Modeling Research Needs S. Burrows et al. 10.1029/2021RG000745
- A laboratory investigation of the ice nucleation efficiency of three types of mineral and soil dust M. Paramonov et al. 10.5194/acp-18-16515-2018
- Long‐Term Trends of High Aerosol Pollution Events and Their Climatic Impacts in North America Using Multiple Satellite Retrievals and Modern‐Era Retrospective Analysis for Research and Applications version 2 Q. Jin & S. Pryor 10.1029/2019JD031137
- The role of contact angle and pore width on pore condensation and freezing R. David et al. 10.5194/acp-20-9419-2020
- Measurements of Ice Nucleating Particles in Beijing, China K. Bi et al. 10.1029/2019JD030609
- Laboratory study of the heterogeneous ice nucleation on black-carbon-containing aerosol L. Nichman et al. 10.5194/acp-19-12175-2019
- CCN and INP activity of middle eastern soil dust C. Roesch et al. 10.1016/j.aeolia.2021.100729
- The effects of morphology, mobility size, and secondary organic aerosol (SOA) material coating on the ice nucleation activity of black carbon in the cirrus regime C. Zhang et al. 10.5194/acp-20-13957-2020
- Leipzig Ice Nucleation chamber Comparison (LINC): intercomparison of four online ice nucleation counters M. Burkert-Kohn et al. 10.5194/acp-17-11683-2017
- Particle emissions from a modern heavy-duty diesel engine as ice nuclei in immersion freezing mode: a laboratory study on fossil and renewable fuels K. Korhonen et al. 10.5194/acp-22-1615-2022
- A comprehensive characterization of ice nucleation by three different types of cellulose particles immersed in water N. Hiranuma et al. 10.5194/acp-19-4823-2019
- Physicochemical properties of charcoal aerosols derived from biomass pyrolysis affect their ice-nucleating abilities at cirrus and mixed-phase cloud conditions F. Mahrt et al. 10.5194/acp-23-1285-2023
- Ice-nucleating ability of particulate emissions from solid-biomass-fired cookstoves: an experimental study K. Korhonen et al. 10.5194/acp-20-4951-2020
- On-chip analysis of atmospheric ice-nucleating particles in continuous flow M. Tarn et al. 10.1039/D0LC00251H
- Ice-nucleating properties of glassy organic and organosulfate aerosol C. Rapp et al. 10.5194/acp-25-5519-2025
- Heterogeneous ice nucleation on dust particles sourced from nine deserts worldwide – Part 2: Deposition nucleation and condensation freezing Y. Boose et al. 10.5194/acp-19-1059-2019
- The relative impact of cloud condensation nuclei and ice nucleating particle concentrations on phase partitioning in Arctic mixed-phase stratocumulus clouds A. Solomon et al. 10.5194/acp-18-17047-2018
- Comparative measurements of ambient atmospheric concentrations of ice nucleating particles using multiple immersion freezing methods and a continuous flow diffusion chamber P. DeMott et al. 10.5194/acp-17-11227-2017
- Investigating the Heterogeneous Ice Nucleation of Sea Spray Aerosols Using Prochlorococcus as a Model Source of Marine Organic Matter M. Wolf et al. 10.1021/acs.est.8b05150
- Immersion Freezing Ability of Freshly Emitted Soot with Various Physico-Chemical Characteristics J. Falk et al. 10.3390/atmos12091173
- Microphysical detection of nano-ice nuclei to ice crystals: a platform for ice nucleation research D. Pal et al. 10.1038/s41612-025-01062-4
- Cloud Condensation Nuclei and Immersion Freezing Abilities of Al<sub>2</sub>O<sub>3</sub> and Fe<sub>2</sub>O<sub>3</sub> Particles Measured with the Meteorological Research Institute's Cloud Simulation Chamber T. KUO et al. 10.2151/jmsj.2019-032
- A new method for operating a continuous-flow diffusion chamber to investigate immersion freezing: assessment and performance study G. Kulkarni et al. 10.5194/amt-13-6631-2020
- The Puy de Dôme ICe Nucleation Intercomparison Campaign (PICNIC): comparison between online and offline methods in ambient air L. Lacher et al. 10.5194/acp-24-2651-2024
- Quantifying and Modeling the Impact of Phase State on the Ice Nucleation Abilities of 2-Methyltetrols as a Key Component of Secondary Organic Aerosol Derived from Isoprene Epoxydiols X. Li et al. 10.1021/acs.est.4c06285
- SPIN modification for low-temperature experiments A. Welti et al. 10.5194/amt-13-7059-2020
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3 citations as recorded by crossref.
- Uncertainty in counting ice nucleating particles with continuous flow diffusion chambers S. Garimella et al. 10.5194/acp-17-10855-2017
- Overview of Ice Nucleating Particles Z. Kanji et al. 10.1175/AMSMONOGRAPHS-D-16-0006.1
- A continuous flow diffusion chamber study of sea salt particles acting as cloud nuclei: deliquescence and ice nucleation X. Kong et al. 10.1080/16000889.2018.1463806
Discussed (final revised paper)
Latest update: 10 Jul 2025
Short summary
This study investigates systematic and variable low bias in the measurement of ice nucleating particle concentration using continuous flow diffusion chambers. We find that non-ideal instrument behavior exposes particles to different humidities and/or temperatures than predicted from theory. We use a machine learning approach to quantify and minimize the uncertainty associated with this measurement bias.
This study investigates systematic and variable low bias in the measurement of ice nucleating...
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