Articles | Volume 14, issue 12
https://doi.org/10.5194/amt-14-7909-2021
https://doi.org/10.5194/amt-14-7909-2021
Research article
 | 
21 Dec 2021
Research article |  | 21 Dec 2021

Revisiting matrix-based inversion of scanning mobility particle sizer (SMPS) and humidified tandem differential mobility analyzer (HTDMA) data

Markus D. Petters

Related authors

Characterization of a modified printed optical particle spectrometer for high-frequency and high-precision laboratory and field measurements
Sabin Kasparoglu, Mohammad Maksimul Islam, Nicholas Meskhidze, and Markus D. Petters
Atmos. Meas. Tech., 15, 5007–5018, https://doi.org/10.5194/amt-15-5007-2022,https://doi.org/10.5194/amt-15-5007-2022, 2022
Short summary
Toward closure between predicted and observed particle viscosity over a wide range of temperatures and relative humidity
Sabin Kasparoglu, Ying Li, Manabu Shiraiwa, and Markus D. Petters
Atmos. Chem. Phys., 21, 1127–1141, https://doi.org/10.5194/acp-21-1127-2021,https://doi.org/10.5194/acp-21-1127-2021, 2021
Short summary
Classification of aerosol population type and cloud condensation nuclei properties in a coastal California littoral environment using an unsupervised cluster model
Samuel A. Atwood, Sonia M. Kreidenweis, Paul J. DeMott, Markus D. Petters, Gavin C. Cornwell, Andrew C. Martin, and Kathryn A. Moore
Atmos. Chem. Phys., 19, 6931–6947, https://doi.org/10.5194/acp-19-6931-2019,https://doi.org/10.5194/acp-19-6931-2019, 2019
Short summary
A comprehensive characterization of ice nucleation by three different types of cellulose particles immersed in water
Naruki Hiranuma, Kouji Adachi, David M. Bell, Franco Belosi, Hassan Beydoun, Bhaskar Bhaduri, Heinz Bingemer, Carsten Budke, Hans-Christian Clemen, Franz Conen, Kimberly M. Cory, Joachim Curtius, Paul J. DeMott, Oliver Eppers, Sarah Grawe, Susan Hartmann, Nadine Hoffmann, Kristina Höhler, Evelyn Jantsch, Alexei Kiselev, Thomas Koop, Gourihar Kulkarni, Amelie Mayer, Masataka Murakami, Benjamin J. Murray, Alessia Nicosia, Markus D. Petters, Matteo Piazza, Michael Polen, Naama Reicher, Yinon Rudich, Atsushi Saito, Gianni Santachiara, Thea Schiebel, Gregg P. Schill, Johannes Schneider, Lior Segev, Emiliano Stopelli, Ryan C. Sullivan, Kaitlyn Suski, Miklós Szakáll, Takuya Tajiri, Hans Taylor, Yutaka Tobo, Romy Ullrich, Daniel Weber, Heike Wex, Thomas F. Whale, Craig L. Whiteside, Katsuya Yamashita, Alla Zelenyuk, and Ottmar Möhler
Atmos. Chem. Phys., 19, 4823–4849, https://doi.org/10.5194/acp-19-4823-2019,https://doi.org/10.5194/acp-19-4823-2019, 2019
Short summary
The effect of hydrophobic glassy organic material on the cloud condensation nuclei activity of particles with different morphologies
Ankit Tandon, Nicholas E. Rothfuss, and Markus D. Petters
Atmos. Chem. Phys., 19, 3325–3339, https://doi.org/10.5194/acp-19-3325-2019,https://doi.org/10.5194/acp-19-3325-2019, 2019
Short summary

Related subject area

Subject: Aerosols | Technique: In Situ Measurement | Topic: Data Processing and Information Retrieval
An evaluation of the U.S. EPA's correction equation for PurpleAir sensor data in smoke, dust, and wintertime urban pollution events
Daniel A. Jaffe, Colleen Miller​​​​​​​, Katie Thompson, Brandon Finley, Manna Nelson, James Ouimette, and Elisabeth Andrews
Atmos. Meas. Tech., 16, 1311–1322, https://doi.org/10.5194/amt-16-1311-2023,https://doi.org/10.5194/amt-16-1311-2023, 2023
Short summary
Typhoon-associated air quality over the Guangdong–Hong Kong–Macao Greater Bay Area, China: machine-learning-based prediction and assessment
Yilin Chen, Yuanjian Yang, and Meng Gao
Atmos. Meas. Tech., 16, 1279–1294, https://doi.org/10.5194/amt-16-1279-2023,https://doi.org/10.5194/amt-16-1279-2023, 2023
Short summary
Quantification of primary and secondary organic aerosol sources by combined factor analysis of extractive electrospray ionisation and aerosol mass spectrometer measurements (EESI-TOF and AMS)
Yandong Tong, Lu Qi, Giulia Stefenelli, Dongyu Simon Wang, Francesco Canonaco, Urs Baltensperger, André Stephan Henry Prévôt, and Jay Gates Slowik
Atmos. Meas. Tech., 15, 7265–7291, https://doi.org/10.5194/amt-15-7265-2022,https://doi.org/10.5194/amt-15-7265-2022, 2022
Short summary
A new method for calculating average visibility from the relationship between extinction coefficient and visibility
Zefeng Zhang, Hengnan Guo, Hanqing Kang, Jing Wang, Junlin An, Xingna Yu, Jingjing Lv, and Bin Zhu
Atmos. Meas. Tech., 15, 7259–7264, https://doi.org/10.5194/amt-15-7259-2022,https://doi.org/10.5194/amt-15-7259-2022, 2022
Short summary
In situ particle sampling relationships to surface and turbulent fluxes using large eddy simulations with Lagrangian particles
Hyungwon John Park, Jeffrey S. Reid, Livia S. Freire, Christopher Jackson, and David H. Richter
Atmos. Meas. Tech., 15, 7171–7194, https://doi.org/10.5194/amt-15-7171-2022,https://doi.org/10.5194/amt-15-7171-2022, 2022
Short summary

Cited articles

Agarwal, S., Mierle, K., and Others: Ceres Solver, available at: http://ceres-solver.org, 2020. a
Atwood, S. A., Kreidenweis, S. M., DeMott, P. J., Petters, M. D., Cornwell, G. C., Martin, A. C., and Moore, K. A.: Classification of aerosol population type and cloud condensation nuclei properties in a coastal California littoral environment using an unsupervised cluster model, Atmos. Chem. Phys., 19, 6931–6947, https://doi.org/10.5194/acp-19-6931-2019, 2019. a, b, c
Baart, M. L.: The Use of Auto-Correlation for Pseudo-Rank Determination in Noisy III-Conditioned Linear Least-Squares Problems, IMA Journal of Numerical Analysis, 2, 241–247, https://doi.org/10.1093/imanum/2.2.241, 1982. a
Bates, D. M., Lindstrom, M. J., Wahba, G., and Yandell, B. G.: GCVPACK – Routines for Generalized Cross Validation, Tech. Rep. Technical Report No. 775, University of Wisconsin, Department of Statistics, 1986. a, b
Bezanson, J., Edelman, A., Karpinski, S., and Shah, V. B.: Julia: A Fresh Approach to Numerical Computing, SIAM Review, 59, 65–98, https://doi.org/10.1137/141000671, 2017. a
Download
Short summary
Inverse methods infer physical properties from a measured instrument response. Measurement noise often interferes with the inversion. This work presents a general, domain-independent, accessible, and computationally efficient software implementation of a common class of statistical inversion methods. In addition, a new method to invert data from humidified tandem differential mobility analyzers is introduced. Results show that the approach is suitable for inversion of large-scale datasets.