Articles | Volume 17, issue 17
https://doi.org/10.5194/amt-17-5051-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-5051-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Sep 2024
Research article |
| 03 Sep 2024
| 03 Sep 2024
Classification accuracy and compatibility across devices of a new Rapid-E+ flow cytometer
Branko Sikoparija
BioSense Institute – Research Institute for Information Technologies in Biosystems, University of Novi Sad, Novi Sad, 21000, Serbia
Predrag Matavulj
Institute for Data Science, University of Applied Sciences and Arts Northwestern Switzerland, Windisch, 5210, Switzerland
Isidora Simovic
BioSense Institute – Research Institute for Information Technologies in Biosystems, University of Novi Sad, Novi Sad, 21000, Serbia
Predrag Radisic
BioSense Institute – Research Institute for Information Technologies in Biosystems, University of Novi Sad, Novi Sad, 21000, Serbia
Sanja Brdar
BioSense Institute – Research Institute for Information Technologies in Biosystems, University of Novi Sad, Novi Sad, 21000, Serbia
Vladan Minic
BioSense Institute – Research Institute for Information Technologies in Biosystems, University of Novi Sad, Novi Sad, 21000, Serbia
Danijela Tesendic
Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Novi Sad, 21000, Serbia
Evgeny Kadantsev
Finnish Meteorological Institute, Erik Palmenin Aukio 1, 00560 Helsinki, Finland
Julia Palamarchuk
Finnish Meteorological Institute, Erik Palmenin Aukio 1, 00560 Helsinki, Finland
Finnish Meteorological Institute, Erik Palmenin Aukio 1, 00560 Helsinki, Finland
Related authors
No articles found.
Rostislav Kouznetsov, Mikhail Sofiev, Andreas Uppstu, and Risto Hänninen
EGUsphere, https://doi.org/10.5194/egusphere-2025-2364, https://doi.org/10.5194/egusphere-2025-2364, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Short summary
The paper addresses a two-order-of-magnitude discrepancy in measured deposition velocities of accumulation-mode aerosols from different methods. This uncertainty affects current atmospheric deposition models. By explicitly accounting for gas-particle transition, we could reproduce the observations. Resolving the discrepancy, reduces uncertainties in simulated concentrations and fallout.
Marc Guevara, Augustin Colette, Antoine Guion, Valentin Petiot, Mario Adani, Joaquim Arteta, Anna Benedictow, Robert Bergström, Andrea Bolignano, Paula Camps, Ana C. Carvalho, Jesper Heile Christensen, Florian Couvidat, Ilia D’Elia, Hugo Denier van der Gon, Gaël Descombes, John Douros, Hilde Fagerli, Yalda Fatahi, Elmar Friese, Lise Frohn, Michael Gauss, Camilla Geels, Risto Hänninen, Kaj Hansen, Oriol Jorba, Jacek W. Kaminski, Rostislav Kouznetsov, Richard Kranenburg, Jeroen Kuenen, Victor Lannuque, Frédérik Meleux, Agnes Nyíri, Yuliia Palamarchuk, Carlos Pérez García-Pando, Lennard Robertson, Felicita Russo, Arjo Segers, Mikhail Sofiev, Joanna Struzewska, Renske Timmermans, Andreas Uppstu, Alvaro Valdebenito, and Zhuyun Ye
EGUsphere, https://doi.org/10.5194/egusphere-2025-1287, https://doi.org/10.5194/egusphere-2025-1287, 2025
Short summary
Short summary
Air quality models require hourly emissions to accurately represent dispersion and physico-chemical processes in the atmosphere. Since emission inventories are typically provided at the annual level, emissions are downscaled to a refined temporal resolution using temporal profiles. This study quantifies the impact of using new anthropogenic temporal profiles on the performance of an European air quality multi-model ensemble. Overall, the findings indicate an improvement of the modelling results.
Augustin Colette, Gaëlle Collin, François Besson, Etienne Blot, Vincent Guidard, Frederik Meleux, Adrien Royer, Valentin Petiot, Claire Miller, Oihana Fermond, Alizé Jeant, Mario Adani, Joaquim Arteta, Anna Benedictow, Robert Bergström, Dene Bowdalo, Jorgen Brandt, Gino Briganti, Ana C. Carvalho, Jesper Heile Christensen, Florian Couvidat, Ilia D’Elia, Massimo D’Isidoro, Hugo Denier van der Gon, Gaël Descombes, Enza Di Tomaso, John Douros, Jeronimo Escribano, Henk Eskes, Hilde Fagerli, Yalda Fatahi, Johannes Flemming, Elmar Friese, Lise Frohn, Michael Gauss, Camilla Geels, Guido Guarnieri, Marc Guevara, Antoine Guion, Jonathan Guth, Risto Hänninen, Kaj Hansen, Ulas Im, Ruud Janssen, Marine Jeoffrion, Mathieu Joly, Luke Jones, Oriol Jorba, Evgeni Kadantsev, Michael Kahnert, Jacek W. Kaminski, Rostislav Kouznetsov, Richard Kranenburg, Jeroen Kuenen, Anne Caroline Lange, Joachim Langner, Victor Lannuque, Francesca Macchia, Astrid Manders, Mihaela Mircea, Agnes Nyiri, Miriam Olid, Carlos Pérez García-Pando, Yuliia Palamarchuk, Antonio Piersanti, Blandine Raux, Miha Razinger, Lennard Robertson, Arjo Segers, Martijn Schaap, Pilvi Siljamo, David Simpson, Mikhail Sofiev, Anders Stangel, Joanna Struzewska, Carles Tena, Renske Timmermans, Thanos Tsikerdekis, Svetlana Tsyro, Svyatoslav Tyuryakov, Anthony Ung, Andreas Uppstu, Alvaro Valdebenito, Peter van Velthoven, Lina Vitali, Zhuyun Ye, Vincent-Henri Peuch, and Laurence Rouïl
EGUsphere, https://doi.org/10.5194/egusphere-2024-3744, https://doi.org/10.5194/egusphere-2024-3744, 2024
Short summary
Short summary
The Copernicus Atmosphere Monitoring Service – Regional Production delivers daily forecasts, analyses, and reanalyses of air quality in Europe. The Service relies on a distributed modelling production by eleven leading European modelling teams following stringent requirements with an operational design which has no equivalent in the world. All the products are full, free, open and quality assured and disseminated with a high level of reliability.
Jorge E. Pachón, Mariel A. Opazo, Pablo Lichtig, Nicolas Huneeus, Idir Bouarar, Guy Brasseur, Cathy W. Y. Li, Johannes Flemming, Laurent Menut, Camilo Menares, Laura Gallardo, Michael Gauss, Mikhail Sofiev, Rostislav Kouznetsov, Julia Palamarchuk, Andreas Uppstu, Laura Dawidowski, Nestor Y. Rojas, María de Fátima Andrade, Mario E. Gavidia-Calderón, Alejandro H. Delgado Peralta, and Daniel Schuch
Geosci. Model Dev., 17, 7467–7512, https://doi.org/10.5194/gmd-17-7467-2024, https://doi.org/10.5194/gmd-17-7467-2024, 2024
Short summary
Short summary
Latin America (LAC) has some of the most populated urban areas in the world, with high levels of air pollution. Air quality management in LAC has been traditionally focused on surveillance and building emission inventories. This study performed the first intercomparison and model evaluation in LAC, with interesting and insightful findings for the region. A multiscale modeling ensemble chain was assembled as a first step towards an air quality forecasting system.
Evgeny Kadantsev, Evgeny Mortikov, Andrey Glazunov, Nathan Kleeorin, and Igor Rogachevskii
Nonlin. Processes Geophys., 31, 395–408, https://doi.org/10.5194/npg-31-395-2024, https://doi.org/10.5194/npg-31-395-2024, 2024
Short summary
Short summary
Our study investigates how turbulence behaves in stable conditions using direct numerical simulations. We found that rethinking how energy dissipates in these situations is crucial. By revising existing models, we uncovered limitations in understanding how temperature is transported vertically in very stable conditions. We focus on how turbulence works in extreme stability and offer new insights that could improve our understanding of natural phenomena affected by stable atmospheric conditions.
Rostislav Kouznetsov, Risto Hänninen, Andreas Uppstu, Evgeny Kadantsev, Yalda Fatahi, Marje Prank, Dmitrii Kouznetsov, Steffen Manfred Noe, Heikki Junninen, and Mikhail Sofiev
Atmos. Chem. Phys., 24, 4675–4691, https://doi.org/10.5194/acp-24-4675-2024, https://doi.org/10.5194/acp-24-4675-2024, 2024
Short summary
Short summary
By relying solely on publicly available media reports, we were able to infer the temporal evolution and the injection height for the Nord Stream gas leaks in September 2022. The inventory specifies locations, vertical distributions, and temporal evolution of the methane sources. The inventory can be used to simulate the event with atmospheric transport models. The inventory is supplemented with a set of observational data tailored to evaluate the results of the simulated atmospheric dispersion.
Leena Kangas, Jaakko Kukkonen, Mari Kauhaniemi, Kari Riikonen, Mikhail Sofiev, Anu Kousa, Jarkko V. Niemi, and Ari Karppinen
Atmos. Chem. Phys., 24, 1489–1507, https://doi.org/10.5194/acp-24-1489-2024, https://doi.org/10.5194/acp-24-1489-2024, 2024
Short summary
Short summary
Residential wood combustion is a major source of fine particulate matter. This study has evaluated the contribution of residential wood combustion to fine particle concentrations and its year-to-year and seasonal variation in te Helsinki metropolitan area. The average concentrations attributed to wood combustion in winter were up to 10- or 15-fold compared to summer. Wood combustion caused 12 % to 14 % of annual fine particle concentrations. In winter, the contribution ranged from 16 % to 21 %.
Risto Matias Hänninen, Rostislav Kouznetsov, and Mikhail Sofiev
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-3, https://doi.org/10.5194/gmd-2023-3, 2023
Preprint withdrawn
Short summary
Short summary
Chemistry transport models describe the motion of particles and gases in atmosphere, containing chemistry equations that allow reaction between different species. The widely used carbon-bond chemistry schemes are originally written in a numerically problematic form that drives some concentrations to unphysical negative values. Here the chemistry equations are re-written in a form where this problem is absent, allowing an easier integration of the equations into any chemistry transport model.
Yunyao Li, Daniel Tong, Siqi Ma, Saulo R. Freitas, Ravan Ahmadov, Mikhail Sofiev, Xiaoyang Zhang, Shobha Kondragunta, Ralph Kahn, Youhua Tang, Barry Baker, Patrick Campbell, Rick Saylor, Georg Grell, and Fangjun Li
Atmos. Chem. Phys., 23, 3083–3101, https://doi.org/10.5194/acp-23-3083-2023, https://doi.org/10.5194/acp-23-3083-2023, 2023
Short summary
Short summary
Plume height is important in wildfire smoke dispersion and affects air quality and human health. We assess the impact of plume height on wildfire smoke dispersion and the exceedances of the National Ambient Air Quality Standards. A higher plume height predicts lower pollution near the source region, but higher pollution in downwind regions, due to the faster spread of the smoke once ejected, affects pollution exceedance forecasts and the early warning of extreme air pollution events.
Svetlana Sofieva, Eija Asmi, Nina S. Atanasova, Aino E. Heikkinen, Emeline Vidal, Jonathan Duplissy, Martin Romantschuk, Rostislav Kouznetsov, Jaakko Kukkonen, Dennis H. Bamford, Antti-Pekka Hyvärinen, and Mikhail Sofiev
Atmos. Meas. Tech., 15, 6201–6219, https://doi.org/10.5194/amt-15-6201-2022, https://doi.org/10.5194/amt-15-6201-2022, 2022
Short summary
Short summary
A new bubble-generating glass chamber design with an extensive set of aerosol production experiments is presented to re-evaluate bubble-bursting-mediated aerosol production as a function of water parameters: bubbling air flow, water salinity, and temperature. Our main findings suggest modest dependence of aerosol production on the water salinity and a strong dependence on temperature below ~ 10 °C.
Outi Meinander, Pavla Dagsson-Waldhauserova, Pavel Amosov, Elena Aseyeva, Cliff Atkins, Alexander Baklanov, Clarissa Baldo, Sarah L. Barr, Barbara Barzycka, Liane G. Benning, Bojan Cvetkovic, Polina Enchilik, Denis Frolov, Santiago Gassó, Konrad Kandler, Nikolay Kasimov, Jan Kavan, James King, Tatyana Koroleva, Viktoria Krupskaya, Markku Kulmala, Monika Kusiak, Hanna K. Lappalainen, Michał Laska, Jerome Lasne, Marek Lewandowski, Bartłomiej Luks, James B. McQuaid, Beatrice Moroni, Benjamin Murray, Ottmar Möhler, Adam Nawrot, Slobodan Nickovic, Norman T. O’Neill, Goran Pejanovic, Olga Popovicheva, Keyvan Ranjbar, Manolis Romanias, Olga Samonova, Alberto Sanchez-Marroquin, Kerstin Schepanski, Ivan Semenkov, Anna Sharapova, Elena Shevnina, Zongbo Shi, Mikhail Sofiev, Frédéric Thevenet, Throstur Thorsteinsson, Mikhail Timofeev, Nsikanabasi Silas Umo, Andreas Uppstu, Darya Urupina, György Varga, Tomasz Werner, Olafur Arnalds, and Ana Vukovic Vimic
Atmos. Chem. Phys., 22, 11889–11930, https://doi.org/10.5194/acp-22-11889-2022, https://doi.org/10.5194/acp-22-11889-2022, 2022
Short summary
Short summary
High-latitude dust (HLD) is a short-lived climate forcer, air pollutant, and nutrient source. Our results suggest a northern HLD belt at 50–58° N in Eurasia and 50–55° N in Canada and at >60° N in Eurasia and >58° N in Canada. Our addition to the previously identified global dust belt (GDB) provides crucially needed information on the extent of active HLD sources with both direct and indirect impacts on climate and environment in remote regions, which are often poorly understood and predicted.
Viktoria F. Sofieva, Risto Hänninen, Mikhail Sofiev, Monika Szeląg, Hei Shing Lee, Johanna Tamminen, and Christian Retscher
Atmos. Meas. Tech., 15, 3193–3212, https://doi.org/10.5194/amt-15-3193-2022, https://doi.org/10.5194/amt-15-3193-2022, 2022
Short summary
Short summary
We present tropospheric ozone column datasets that have been created using combinations of total ozone column from OMI and TROPOMI with stratospheric ozone column datasets from several available limb-viewing instruments (MLS, OSIRIS, MIPAS, SCIAMACHY, OMPS-LP, GOMOS). The main results are (i) several methodological developments, (ii) new tropospheric ozone column datasets from OMI and TROPOMI, and (iii) a new high-resolution dataset of ozone profiles from limb satellite instruments.
Tero M. Partanen and Mikhail Sofiev
Nat. Hazards Earth Syst. Sci., 22, 1335–1346, https://doi.org/10.5194/nhess-22-1335-2022, https://doi.org/10.5194/nhess-22-1335-2022, 2022
Short summary
Short summary
The presented method aims to forecast regional wildfire-emitted radiative power in a time-dependent manner several days in advance. The temporal fire radiative power can be converted to an emission production rate, which can be implemented in air quality forecasting simulations. It is shown that in areas with a high incidence of wildfires, the fire radiative power is quite predictable, but otherwise it is not.
Karol Kuliński, Gregor Rehder, Eero Asmala, Alena Bartosova, Jacob Carstensen, Bo Gustafsson, Per O. J. Hall, Christoph Humborg, Tom Jilbert, Klaus Jürgens, H. E. Markus Meier, Bärbel Müller-Karulis, Michael Naumann, Jørgen E. Olesen, Oleg Savchuk, Andreas Schramm, Caroline P. Slomp, Mikhail Sofiev, Anna Sobek, Beata Szymczycha, and Emma Undeman
Earth Syst. Dynam., 13, 633–685, https://doi.org/10.5194/esd-13-633-2022, https://doi.org/10.5194/esd-13-633-2022, 2022
Short summary
Short summary
The paper covers the aspects related to changes in carbon, nitrogen, and phosphorus (C, N, P) external loads; their transformations in the coastal zone; changes in organic matter production (eutrophication) and remineralization (oxygen availability); and the role of sediments in burial and turnover of C, N, and P. Furthermore, this paper also focuses on changes in the marine CO2 system, the structure of the microbial community, and the role of contaminants for biogeochemical processes.
Yalda Fatahi, Rostislav Kouznetsov, and Mikhail Sofiev
Geosci. Model Dev., 14, 7459–7475, https://doi.org/10.5194/gmd-14-7459-2021, https://doi.org/10.5194/gmd-14-7459-2021, 2021
Short summary
Short summary
Incorporating information on public holidays into anthropogenic sector emissions results in substantial short-term improvement of the chemistry transport model SILAM scores. The largest impact was found for NOx, which is controlled by the changes in the traffic intensity. Certain improvements were also found for other species, but the signal was weaker than that for NOx.
Diego Aliaga, Victoria A. Sinclair, Marcos Andrade, Paulo Artaxo, Samara Carbone, Evgeny Kadantsev, Paolo Laj, Alfred Wiedensohler, Radovan Krejci, and Federico Bianchi
Atmos. Chem. Phys., 21, 16453–16477, https://doi.org/10.5194/acp-21-16453-2021, https://doi.org/10.5194/acp-21-16453-2021, 2021
Short summary
Short summary
We investigate the origin of air masses sampled at Mount Chacaltaya, Bolivia. Three-quarters of the measured air has not been influenced by the surface in the previous 4 d. However, it is rare that, at any given time, the sampled air has not been influenced at all by the surface, and often the sampled air has multiple origins. The influence of the surface is more prevalent during day than night. Furthermore, during the 6-month study, one-third of the air masses originated from Amazonia.
Hugues Brenot, Nicolas Theys, Lieven Clarisse, Jeroen van Gent, Daniel R. Hurtmans, Sophie Vandenbussche, Nikolaos Papagiannopoulos, Lucia Mona, Timo Virtanen, Andreas Uppstu, Mikhail Sofiev, Luca Bugliaro, Margarita Vázquez-Navarro, Pascal Hedelt, Michelle Maree Parks, Sara Barsotti, Mauro Coltelli, William Moreland, Simona Scollo, Giuseppe Salerno, Delia Arnold-Arias, Marcus Hirtl, Tuomas Peltonen, Juhani Lahtinen, Klaus Sievers, Florian Lipok, Rolf Rüfenacht, Alexander Haefele, Maxime Hervo, Saskia Wagenaar, Wim Som de Cerff, Jos de Laat, Arnoud Apituley, Piet Stammes, Quentin Laffineur, Andy Delcloo, Robertson Lennart, Carl-Herbert Rokitansky, Arturo Vargas, Markus Kerschbaum, Christian Resch, Raimund Zopp, Matthieu Plu, Vincent-Henri Peuch, Michel Van Roozendael, and Gerhard Wotawa
Nat. Hazards Earth Syst. Sci., 21, 3367–3405, https://doi.org/10.5194/nhess-21-3367-2021, https://doi.org/10.5194/nhess-21-3367-2021, 2021
Short summary
Short summary
The purpose of the EUNADICS-AV (European Natural Airborne Disaster Information and Coordination System for Aviation) prototype early warning system (EWS) is to develop the combined use of harmonised data products from satellite, ground-based and in situ instruments to produce alerts of airborne hazards (volcanic, dust, smoke and radionuclide clouds), satisfying the requirement of aviation air traffic management (ATM) stakeholders (https://cordis.europa.eu/project/id/723986).
Cited articles
Brdar, S., Panić, M., Matavulj, P., Stanković, M., Bartolić, D., and Šikoparija, B.: Explainable AI for unveiling deep learning pollen classification model based on fusion of scattered light patterns and fluorescence spectroscopy, Sci. Rep.-UK, 13, 3205, https://doi.org/10.1038/s41598-023-30064-6, 2023.
Bruffaerts, N., Graf, E., Matavulj, P., Tiwari, A., Pyrri, I., Zeder, Y., Erb, S., Plaza, M., Dietler, S., Bendinelli, T., D'hooge, E., and Sikoparija, B.: Advancing automated identification of airborne fungal spores: guidelines for cultivation and reference dataset creation, Aerobiologia, in review, 2024.
Buters, J., Clot, B., Galán, C., Gehrig, R. Gilge, S. Hentges, F., O'Connor, D., Sikoparija, B., Skjøth, C., Tummon, F., Adams-Groom, B., Antunes, C., Bruffaerts, N., Celenk, S., Crouzy, B., Guillaud, G., Hajkova, L., Seliger, A., Oliver, G., Ribeiro, H., Rodinkova, V., Saarto, A., Sauliene, I., Sozinova, O., and Stjepanovic, B.: Automatic detection of airborne pollen: an overview, Aerobiologia, 40, 13–37, https://doi.org/10.1007/s10453-022-09750-x, 2022.
CEN: EN 16868: Ambient air - Sampling and analysis of airborne pollen grains and fungal spores for networks related to allergy - Volumetric Hirst method, CEN, 2019.
Crouzy, B., Stella, M., Konzelmann, T., Calpini, B., and Clot, B.: All-optical automatic pollen identification: Towards an operational system, Atmos. Environ., 140, 202–212, https://doi.org/10.1016/j.atmosenv.2016.05.062, 2016.
Daunys, G., Šukienė, L., Vaitkevičius, L., Valiulis, G., Sofiev, M., and Šaulienė, I.: Comparison of computer vision models in application to pollen classification using light scattering, Aerobiologia, 40, 109–121, https://doi.org/10.1007/s10453-022-09769-0, 2022.
Galán, C., Ariatti, A., Bonini, M., Clot, B., Crouzy, B., Dahl, A., Fernandez-González, D., Frenguelli, G., Gehrig, R., Isard, S., Levetin, E., Li, D. W., Mandrioli, P., Rogers, C. A., Thibaudon, M., Sauliene, I., Skjoth, S., Smith, M., and Sofiev, M.: Recommended terminology for aerobiological studies, Aerobiologia, 33, 293–295, https://doi.org/10.1007/s10453-017-9496-0, 2017.
Galán, C., Smith, M., Damialis, A., Frenguelli, G., Gehrig, R., Grinn-Gofron, A., Kasprzyk, I., Magyar, D., Oteros, J., Sauliene, I., Thibaudon, T., Sikoparija, B., and EAS QC Working Group: Airborne fungal spore monitoring: between analyst proficiency testing, Aerobiologia, 37, 351–361, https://doi.org/10.1007/s10453-021-09698-4, 2021.
Halbritter, H.: Preparing living pollen material for scanning electron microscopy using 2,2-dimethoxypropane (DMP) and critical-point drying, Biotech. Histochem., 73, 137–143, https://doi.org/10.3109/10520299809140519, 1998.
Halbritter, H., Diethart, B., and Heigl, H.: Betula pendula, PalDat - A palynological database, https://www.paldat.org/pub/Betula_pendula/303759 (last access: 1 December 2023), 2020.
Hirst, J. M.: An automatic volumetric spore trap, Ann. Appl. Biol., 39, 257–265, https://doi.org/10.1111/j.1744-7348.1952.tb00904.x, 1952.
Huffman, J. A., Perring, A. E., Savage, N. J., Clot, B., Crouzy, B., Tummon, F., Shoshanim, O., Damit, B., Schneider, J., Sivaprakasam, V., Zawadowicz, M. A., Crawford, I., Gallagher, M., Topping, D., Doughty, D. C., Hill, S. C., and Pan, Y.: Real-time sensing of bioaerosols: Review and current perspectives, Aerosol Sci. Tech., 54, 465–495, https://doi.org/10.1080/02786826.2019.1664724, 2019.
Lieberherr, G., Auderset, K., Calpini, B., Clot, B., Crouzy, B., Gysel-Beer, M., Konzelmann, T., Manzano, J., Mihajlovic, A., Moallemi, A., O'Connor, D., Sikoparija, B., Sauvageat, E., Tummon, F., and Vasilatou, K.: Assessment of real-time bioaerosol particle counters using reference chamber experiments, Atmos. Meas. Tech., 14, 7693–7706, https://doi.org/10.5194/amt-14-7693-2021, 2021
Matavulj, P.: Machine-learning-based classification model for pollen recognition using Rapid-E+ measurements, B2SHARE EUDAT [code/data set], https://doi.org/10.23728/B2SHARE.31ADB0E9A5BF408DB47DAC1721B57BFA, 2024.
Matavulj, P., Brdar, S., Racković, M., Šikoparija, B., and Athanasiadis, I. N.: Domain adaptation with unlabeled data for model transferability between airborne particle identifiers, Version v1, Zenodo, https://doi.org/10.5281/zenodo.5574164, 2021.
Matavulj, P., Cristofori, A., Cristofolini, F., Gottardini, E., Brdar, S., and Šikoparija, B.: Integration of reference data from different Rapid-E devices supports automatic pollen detection in more locations, Sci. Total Environ., 851, 158234, https://doi.org/10.1016/j.scitotenv.2022.158234, 2022.
Matavulj, P., Panić, M., Šikoparija, B., Tešendić, D., Radovanović, M., and Brdar, S.: Advanced CNN Architectures for Pollen Classification: Design and Comprehensive Evaluation, Appl. Artif. Intell., 37, 2157593, https://doi.org/10.1080/08839514.2022.2157593, 2023.
Maya-Manzano, J. M., Tummon, F., Abt, R., Allan, N., Bunderson, L., Clot, B., Crouzy, B., Erb, S., Gonzalez-Alonso, M., Graf, E., Grewling, L., Haus, J., Kadantsev, E., Kawashima, S., Martinez-Bracero, M., Matavulj, M., Mills, S., Niederberger, E., Lieberherr, G., Lucas, R. W., O'Connor, D. J., Oteros, J. Palamarchuk, J., Pope, F. D., Rojo, J., Schäfer, S., Schmidt-Weber, C., Šikoparija, B., Skjøth, C. A., Sofiev, M., Stemmler, T., Triviño, M., and Buters, J.: Towards European automatic bioaerosol monitoring: Comparison of 9 automatic pollen observational instruments with classic Hirst-type traps, Sci. Total Environ., 866, 161220, https://doi.org/10.1016/j.scitotenv.2022.161220, 2023.
Mimić, G. and Šikoparija, B.: Analysis of airborne pollen time series originating from Hirst-type volumetric samplers–comparison between mobile sampling head oriented toward wind direction and fixed sampling head with two-layered inlet, Aerobiologia, 37, 321–331, https://doi.org/10.1007/s10453-021-09695-7, 2021.
Pöhlker, C., Huffman, J. A., Förster, J.-D., and Pöschl, U.: Autofluorescence of atmospheric bioaerosols: spectral fingerprints and taxonomic trends of pollen, Atmos. Meas. Tech., 6, 3369–3392, https://doi.org/10.5194/amt-6-3369-2013, 2013.
Savitzky, A. and Golay, M. J. E.: Smoothing and Differentiation of Data by Simplified Least Squares Procedures, Anal. Chem., 36, 1627–1639, https://doi.org/10.1021/ac60214a047, 1964.
Šaulienė, I., Šukienė, L., Daunys, G., Valiulis, G., Vaitkevičius, L., Matavulj, P., Brdar, S., Panic, M., Sikoparija, B., Clot, B., Crouzy, B., and Sofiev, M.: Automatic pollen recognition with the Rapid-E particle counter: the first-level procedure, experience and next steps, Atmos. Meas. Tech., 12, 3435–3452, https://doi.org/10.5194/amt-12-3435-2019, 2019.
Šikoparija, B.: Desert dust has a notable impact on aerobiological measurements in Europe, Aeolian Res., 47, 100636, https://doi.org/10.1016/j.aeolia.2020.100636, 2020.
Šikoparija, B., Marko, O., Panić, M., Jakovetić, D., and Radišić, P.: How to prepare a pollen calendar for forecasting daily pollen concentrations of Ambrosia, Betula and Poaceae?, Aerobiologia, 34, 203–217, https://doi.org/10.1007/s10453-018-9507-9, 2018.
Sikoparija, B., Mimić, G., Matavulj, P., Panić, M., Simović, I., and Brdar, S.: Do we need continuous sampling to capture variability of hourly pollen concentrations?, Aerobiologia, 36, 3–7, https://doi.org/10.1007/s10453-019-09575-1, 2020.
Šikoparija, B., Matavulj, P., Mimić, G., Smith, M., Grewling, Ł., and Podraščanin, Z.: Real-time automatic detection of starch particles in ambient air, Agr. Forest Meteorol., 323, 109034, https://doi.org/10.1016/j.agrformet.2022.109034, 2022.
Simović, I., Matavulj, P., and Šikoparija, B.: Manual and automatic quantification of airborne fungal spores during wheat harvest period, Aerobiologia, 39, 227–239, https://doi.org/10.1007/s10453-023-09788-5, 2023.
Smith, M., Matavulj, P., Mimić, G., Panić, M., Grewling, L., and Šikoparija, B.: Why should we care about high temporal resolution monitoring of bioaerosols in ambient air?, Sci. Total Environ., 826, 154231, https://doi.org/10.1016/j.scitotenv.2022.154231, 2022.
Swisens AG: SwisensAtomizer web page at manufacturer internet site, https://www.swisens.ch/en/swisensatomizer (last access: 1 December 2023), 2023.
Tešendić, D., Boberić Krstićev, D., Matavulj, P., Brdar, S., Panić, M., Minić, V., and Šikoparija, B.: RealForAll: Real-time System for Automatic Detection of Airborne Pollen, Enterp. Inf. Syst.-UK, 16, 1793391, https://doi.org/10.1080/17517575.2020.1793391, 2020.
Tummon, F., Bruffaerts, N., Celenk, S., Choël, M., Clot, B., Crouzy, B., Galán, C., Gilge, S., Hajkova, L., Mokin, V., O'Connor, D., Rodinkova, V., Sauliene, I., Sikoparija, B., Sofiev, M., Sozinova, O., Tesendic, D., and Vasilatou, K.: Towards standardisation of automatic pollen and fungal spore monitoring: best practises and guidelines, Aerobiologia, 40, 39–55, https://doi.org/10.1007/s10453-022-09755-6, 2022.
Short summary
We assess the suitability of a Rapid-E+ particle counter for use in pollen monitoring networks. The criterion was the ability of different devices to provide the same signal for the same pollen type, which would allow for unified reference libraries and recognition algorithms for Rapid-E+. We tested three devices and found notable differences between their fluorescence measurements. Each one showed potential for pollen identification, but the large variability between them needs to be addressed.
We assess the suitability of a Rapid-E+ particle counter for use in pollen monitoring networks....
