Cited by 21Atmospheric chemistry and aerosolsAtmospheric aerosols and cloudsAir Quality Monitoring and Forecasting

Modular Multiplatform Compatible Air Measurement System (MoMuCAMS): a new modular platform for boundary layer aerosol and trace gas vertical measurements in extreme environments

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Pohorsky, Roman, Baccarini, Andrea, Tolu, Julie, Winkel, Lenny H. E., Schmale, Julia·2024·Atmospheric Measurement Techniques

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Abstract

Abstract. The Modular Multiplatform Compatible Air Measurement System (MoMuCAMS) is a newly developed in situ aerosol and trace gas measurement platform for lower-atmospheric vertical profiling. MoMuCAMS has been primarily designed to be attached to a Helikite, a rugged tethered balloon type that is suitable for operations in cold and windy conditions. The system addresses the need for detailed vertical observations of atmospheric composition in the boundary layer and lower free troposphere, especially in polar and alpine regions. The MoMuCAMS encompasses a box that houses instrumentation, a heated inlet, a single-board computer to transmit data to the ground for in-flight decisions and a power distribution system. The enclosure can accommodate various combinations of instruments within its weight limit (e.g., 20 kg for a 45 m3 balloon). This flexibility represents a unique feature, allowing for the study of multiple aerosol properties (number concentration, size distribution, optical properties, chemical composition and morphology), as well as trace gases (e.g., CO, CO2, O3, N2O) and meteorological variables (e.g., wind speed and direction, temperature, relative humidity, pressure). Different instrumental combinations are therefore possible to address the specific scientific focus of the observations. It is the first tethered-balloon-based system equipped with instrumentation providing a size distribution for aerosol particles within a large range, i.e., from 8 to 3370 nm, which is vital to understanding atmospheric processes of aerosols and their climate impacts through interaction with radiation and clouds. Here we present a characterization of the specifically developed inlet system and previously unreported instruments, most notably the miniaturized scanning electrical mobility spectrometer and a near-infrared carbon monoxide monitor. As of December 2022, MoMuCAMS has been tested during two field campaigns in the Swiss Alps in winter and fall 2021. It was further deployed in Fairbanks, Alaska, USA, in January–February 2022, as part of the ALPACA (Alaskan Layered Pollution and Chemical Analysis) campaign and in Pallas, Finland, in September–October 2022, as part of the PaCE2022 (Pallas Cloud Experiment) study. Three cases from one of the Swiss Alpine studies are presented to illustrate the various observational capabilities of MoMuCAMS. Results from the first two case studies illustrate the breakup of a surface-based inversion layer after sunrise and the dilution of a 50–70 m thick surface layer. The third case study illustrates the capability of the system to collect samples at a given altitude for offline chemical and microscopic analysis. Overall, MoMuCAMS is an easily deployable tethered-balloon payload with high flexibility, able to cope with the rough conditions of extreme environments. Compared to uncrewed aerial vehicles (drones) it allows for observation of aerosol processes in detail over multiple hours, providing insights into their vertical distribution and processes, e.g., in low-level clouds, that were difficult to obtain beforehand.

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  • In the WPBL under easterly advection from Fairbanks, an Aitken mode peak is observed at 26.0 nm, which is not statistically different from the MsL mode diameter given the uncertainty of the size detection by the instrument.

    “In the WPBL under easterly advection from Fairbanks, we observe an Aitken mode peak at 26.0 nm, which is not statistically different from the MsL mode diameter given the uncertainty of the size detection by the instrument (Pohorsky et al., 2024).”

    From In situ vertical observations of the layered structure of air pollution in a continental high-latitude urban boundary layer during winter (2025) · cites this paper as Pohorsky et al. (2024)

    Section 3.3 reports mSEMS particle-sizing deviations below 7%, supporting the general point that the instrument has sizing uncertainty. The cited paper does not report a 26.0 nm peak in the WPBL, an MsL mode diameter, or a statistical comparison between them; its particle-size discussion in Section 4.2.2 concerns different boundary-layer measurements. (LLM, conf=0.80)

    Experimental — accuracy not yet measured

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References 51 · Cited by 21

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  1. Aldhaif, A. M., Stahl, C., Braun, R. A., Moghaddam, M. A., Shingler, T., Crosbie, E., Sawamura, P., Dadashazar, H., Ziemba, L., Jimenez, J. L., Campuzano-Jost, P., and Sorooshian, A.: Characterization of the Real Part of Dry Aerosol Refractive Index Over North America From the Sur- face to 12 km, J. Geophys. Res.-Atmos., 123, 8283-8300, https://doi.org/10.1029/2018JD028504, 2018. · DOI
  2. Bates, T. S., Quinn, P. K., Johnson, J. E., Corless, A., Brechtel, F. J., Stalin, S. E., Meinig, C., and Burkhart, J. F.: Measurements of at- mospheric aerosol vertical distributions above Svalbard, Norway, using unmanned aerial systems (UAS), Atmos. Meas. Tech., 6, 2115-2120, https://doi.org/10.5194/amt-6-2115-2013, 2013. · DOI · Paper page
  3. Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster, P. M., Kerminen, V.-M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh, S. K., Sherwood, S., Stevens, B., and Zhang, X. Y.: IPCC, 2013: Climate Change 2013: The Physi- cal Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tig- nor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, ISBN: 978-1- 107-05799-1, 2013.
  4. Brock, C. A., Cozic, J., Bahreini, R., Froyd, K. D., Middlebrook, A. M., McComiskey, A., Brioude, J., Cooper, O. R., Stohl, A., Aikin, K. C., de Gouw, J. A., Fahey, D. W., Ferrare, R. A., Gao, R.-S., Gore, W., Holloway, J. S., Hübler, G., Jefferson, A., Lack, D. A., Lance, S., Moore, R. H., Murphy, D. M., Nenes, A., Novelli, P. C., Nowak, J. B., Ogren, J. A., Peis- chl, J., Pierce, R. B., Pilewskie, P., Quinn, P. K., Ryerson, T. B., Schmidt, K. S., Schwarz, J. P., Sodemann, H., Spackman, J. R., Stark, H., Thomson, D. S., Thornberry, T., Veres, P., Watts, L. A., Warneke, C., and Wollny, A. G.: Characteristics, sources, and transport of aerosols measured in spring 2008 dur- ing the aerosol, radiation, and cloud processes affecting Arc- tic Climate (ARCPAC) Project, Atmos. Chem. Phys., 11, 2423- 2453, https://doi.org/10.5194/acp-11-2423-2011, 2011. · DOI · Paper page
  5. Brus, D., Gustafsson, J., Vakkari, V., Kemppinen, O., de Boer, G., and Hirsikko, A.: Measurement report: Properties of aerosol and gases in the vertical profile during the LAPSE-RATE campaign, Atmos. Chem. Phys., 21, 517-533, https://doi.org/10.5194/acp- 21-517-2021, 2021. · DOI
  6. Canut, G., Couvreux, F., Lothon, M., Legain, D., Piguet, B., Lampert, A., Maurel, W., and Moulin, E.: Turbulence fluxes and variances measured with a sonic anemometer mounted on a tethered balloon, Atmos. Meas. Tech., 9, 4375-4386, https://doi.org/10.5194/amt-9-4375-2016, 2016. · DOI
  7. Carslaw, K. S.: Chapter 2 -Aerosol in the climate system, in: Aerosols and Climate, Elsevier, 9-52, https://doi.org/10.1016/B978-0-12-819766-0.00008-0, ISBN 9780128197660, 2022. · DOI
  8. Chazette, P., Couvert, P., Randriamiarisoa, H., Sanak, J., Bon- sang, B., Moral, P., Berthier, S., Salanave, S., and Tous- saint, F.: Three-dimensional survey of pollution during win- ter in French Alps valleys, Atmos. Environ., 39, 1035-1047, https://doi.org/10.1016/j.atmosenv.2004.10.014, 2005. · DOI
  9. Commane, R., Hallward-Driemeier, A., and Murray, L. T.: In- tercomparison of commercial analyzers for atmospheric ethane and methane observations, Atmos. Meas. Tech., 16, 1431-1441, https://doi.org/10.5194/amt-16-1431-2023, 2022. · DOI
  10. Creamean, J. M., de Boer, G., Telg, H., Mei, F., Dexheimer, D., Shupe, M. D., Solomon, A., and McComiskey, A.: As- sessing the vertical structure of Arctic aerosols using balloon- borne measurements, Atmos. Chem. Phys., 21, 1737-1757, https://doi.org/10.5194/acp-21-1737-2021, 2021. · DOI
  11. Doulgeris, K. M., Lihavainen, H., Hyvärinen, A.-P., Kerminen, V.- M., and Brus, D.: An extensive data set for in situ microphysical characterization of low-level clouds in a Finnish sub-Arctic site, Earth Syst. Sci. Data, 14, 637-649, https://doi.org/10.5194/essd- 14-637-2022, 2022. · DOI
  12. Furger, M., Dommen, J., Graber, W. K., Poggio, L., Pre, S. H., Gomiscek, B., Neininger, B., and Wotawa, G.: The VOTALP Mesolcina Valley Campaign 1996 -concept, back- ground and some highlights, Atmos. Environ., 34, 1395-1412, https://doi.org/10.1016/S1352-2310(99)00377-5, 2000. · DOI
  13. Gao, R. S., Telg, H., McLaughlin, R. J., Ciciora, S. J., Watts, L. A., Richardson, M. S., Schwarz, J. P., Per- ring, A. E., Thornberry, T. D., Rollins, A. W., Markovic, M. Z., Bates, T. S., Johnson, J. E., and Fahey, D. W.: A light-weight, high-sensitivity particle spectrometer for PM 2.5 aerosol measurements, Aerosol Sci. Tech., 50, 88-99, https://doi.org/10.1080/02786826.2015.1131809, 2016. · DOI
  14. Genga, A., Siciliano, T., Siciliano, M., Aiello, D., and Tortorella, C.: Individual particle SEM-EDS analysis of atmospheric aerosols in rural, urban, and industrial sites of Central Italy, Environ. Monit. Assess., 190, 456, https://doi.org/10.1007/s10661-018- 6826-9, 2018. · DOI
  15. Graversen, R. G., Mauritsen, T., Tjernström, M., Källén, E., and Svensson, G.: Vertical structure of recent Arctic warming, Na- ture, 451, 53-56, https://doi.org/10.1038/nature06502, 2008. · DOI
  16. Gui, K., Che, H., Chen, Q., Yu, J., Zheng, Y., Lu, S., Wang, H., Wang, Y., Zhang, X., and Shi, G.: Analysis of the Error in Re- trievals of Aerosol Optical Properties from Sunphotometer Mea- surements of CARSNET Due to a Variety of Objective Factors, Atmosphere, 7, 9, https://doi.org/10.3390/atmos7010009, 2016. · DOI
  17. Harnisch, F., Gohm, A., Fix, A., Schnitzhofer, R., Hansel, A., and Neininger, B.: Spatial distribution of aerosols in the Inn Valley at- mosphere during wintertime, Meteorol. Atmos. Phys., 103, 223- 235, https://doi.org/10.1007/s00703-008-0318-3, 2009. · DOI
  18. Haywood, J. and Boucher, O.: Estimates of the direct and indirect radiative forcing due to tropospheric aerosols: A review, Rev. Geophys., 38, 513-543, https://doi.org/10.1029/1999RG000078, 2000. · DOI · Paper page
  19. IPCC: Climate Change 2021: The Physical Science Basis. Con- tribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, https://doi.org/10.1017/9781009157896, ISBN: 9781009157896, 2023. · DOI · Paper page
  20. Jacob, D. J., Crawford, J. H., Maring, H., Clarke, A. D., Dibb, J. E., Emmons, L. K., Ferrare, R. A., Hostetler, C. A., Russell, P. B., Singh, H. B., Thompson, A. M., Shaw, G. E., McCauley, E., Pederson, J. R., and Fisher, J. A.: The Arctic Research of the Composition of the Troposphere from Aircraft and Satel- lites (ARCTAS) mission: design, execution, and first results, At- mos. Chem. Phys., 10, 5191-5212, https://doi.org/10.5194/acp- 10-5191-2010, 2010. · DOI
  21. Pollution, J. Geophys. Res.-Atmos., 126, e2021JD034641, https://doi.org/10.1029/2021JD034641, 2021. · DOI
  22. Karlsson, L., Baccarini, A., Duplessis, P., Baumgardner, D., Brooks, I. M., Chang, R. Y.-W., Dada, L., Dällenbach, K. R., Heikki- nen, L., Krejci, R., Leaitch, W. R., Leck, C., Partridge, D. G., Salter, M. E., Wernli, H., Wheeler, M. J., Schmale, J., and Zieger, P.: Physical and Chemical Properties of Cloud Droplet Residuals and Aerosol Particles During the Arctic Ocean 2018 Expedition, J. Geophys. Res.-Atmos., 127, e2021JD036383, https://doi.org/10.1029/2021JD036383, 2022. · DOI
  23. Ketterer, C., Zieger, P., Bukowiecki, N., Collaud Coen, M., Maier, O., Ruffieux, D., and Weingartner, E.: Investigation of the Plane- tary Boundary Layer in the Swiss Alps Using Remote Sensing and In Situ Measurements, Bound.-Lay. Meteorol., 151, 317- 334, https://doi.org/10.1007/s10546-013-9897-8, 2014. · DOI
  24. Kim, M.-H., Omar, A. H., Vaughan, M. A., Winker, D. M., Trepte, C. R., Hu, Y., Liu, Z., and Kim, S.-W.: Quantifying the low bias of CALIPSO's column aerosol optical depth due to unde- tected aerosol layers, J. Geophys. Res.-Atmos., 122, 1098-1113, https://doi.org/10.1002/2016JD025797, 2017. · DOI
  25. Knight, M. and Petrucci, G. A.: Study of Residual Particle Con- centrations Generated by the Ultrasonic Nebulization of Deion- ized Water Stored in Different Container Types, Anal. Chem., 75, 4486-4492, https://doi.org/10.1021/ac034355n, 2003. · DOI
  26. Koffi, B., Schulz, M., Bréon, F.-M., Dentener, F., Steensen, B. M., Griesfeller, J., Winker, D., Balkanski, Y., Bauer, S. E., Bel- louin, N., Berntsen, T., Bian, H., Chin, M., Diehl, T., Easter, R., Ghan, S., Hauglustaine, D. A., Iversen, T., Kirkevåg, A., Liu, X., Lohmann, U., Myhre, G., Rasch, P., Seland, Ø., Skeie, R. B., Steenrod, S. D., Stier, P., Tackett, J., Takemura, T., Tsi- garidis, K., Vuolo, M. R., Yoon, J., and Zhang, K.: Evalua- tion of the aerosol vertical distribution in global aerosol mod- els through comparison against CALIOP measurements: Aero- Com phase II results, J. Geophys. Res.-Atmos., 121, 7254-7283, https://doi.org/10.1002/2015JD024639, 2016. · DOI
  27. Kowol-Santen, J., Beekmann, M., Schmitgen, S., and Dewey, K.: Tracer analysis of transport from the boundary layer to the free troposphere, Geophys. Res. Lett., 28, 2907-2910, https://doi.org/10.1029/2001GL012908, 2001. · DOI
  28. Liu, Z., Osborne, M., Anderson, K., Shutler, J. D., Wilson, A., Langridge, J., Yim, S. H. L., Coe, H., Babu, S., Satheesh, S. K., Zuidema, P., Huang, T., Cheng, J. C. H., and Haywood, J.: Characterizing the performance of a POPS miniaturized opti- cal particle counter when operated on a quadcopter drone, At- mos. Meas. Tech., 14, 6101-6118, https://doi.org/10.5194/amt- 14-6101-2021, 2021. · DOI
  29. McNaughton, C. S., Clarke, A. D., Freitag, S., Kapustin, V. N., Kondo, Y., Moteki, N., Sahu, L., Takegawa, N., Schwarz, J. P., Spackman, J. R., Watts, L., Diskin, G., Podolske, J., Hol- loway, J. S., Wisthaler, A., Mikoviny, T., de Gouw, J., Warneke, C., Jimenez, J., Cubison, M., Howell, S. G., Middlebrook, A., Bahreini, R., Anderson, B. E., Winstead, E., Thornhill, K. L., Lack, D., Cozic, J., and Brock, C. A.: Absorbing aerosol in the troposphere of the Western Arctic during the 2008 ARCTAS/AR- CPAC airborne field campaigns, Atmos. Chem. Phys., 11, 7561- 7582, https://doi.org/10.5194/acp-11-7561-2011, 2011. · DOI
  30. Mei, F., McMeeking, G., Pekour, M., Gao, R.-S., Kulka- rni, G., China, S., Telg, H., Dexheimer, D., Tomlinson, J., and Schmid, B.: Performance Assessment of Portable Optical Particle Spectrometer (POPS), Sensors, 20, 22, https://doi.org/10.3390/s20216294, 2020. · DOI
  31. Mei, L., Xue, Y., de Leeuw, G., von Hoyningen-Huene, W., Kokhanovsky, A. A., Istomina, L., Guang, J., and Burrows, J. P.: Aerosol optical depth retrieval in the Arctic region using MODIS data over snow, Remote Sens. Environ., 128, 234-245, https://doi.org/10.1016/j.rse.2012.10.009, 2013. · DOI
  32. Park, J. Y., McMurry, P. H., and Park, K.: Produc- tion of Residue-Free Nanoparticles by Atomization of Aqueous Solutions, Aerosol Sci. Tech., 46, 354-360, https://doi.org/10.1080/02786826.2011.631614, 2012. · DOI
  33. Pasquier, J. T., Henneberger, J., Ramelli, F., Lauber, A., David, R. O., Wieder, J., Carlsen, T., Gierens, R., Maturilli, M., and Lohmann, U.: Conditions favorable for secondary ice production in Arctic mixed-phase clouds, Atmos. Chem. Phys., 22, 15579- 15601, https://doi.org/10.5194/acp-22-15579-2022, 2022. · DOI
  34. Persson, P. O. G., Fairall, C. W., Andreas, E. L., Guest, P. S., and Perovich, D. K.: Measurements near the Atmospheric Surface Flux Group tower at SHEBA: Near-surface conditions and sur- face energy budget, J. Geophys. Res.-Oceans, 107, SHE 21-1- SHE 21-35, https://doi.org/10.1029/2000JC000705, 2002. · DOI
  35. Pitz, M., Cyrys, J., Karg, E., Wiedensohler, A., Wichmann, H.- E., and Heinrich, J.: Variability of Apparent Particle Density of an Urban Aerosol, Environ. Sci. Technol., 37, 4336-4342, https://doi.org/10.1021/es034322p, 2003. · DOI
  36. Porter, G. C. E., Sikora, S. N. F., Adams, M. P., Proske, U., Harri- son, A. D., Tarn, M. D., Brooks, I. M., and Murray, B. J.: Resolv- ing the size of ice-nucleating particles with a balloon deployable aerosol sampler: the SHARK, Atmos. Meas. Tech., 13, 2905- 2921, https://doi.org/10.5194/amt-13-2905-2020, 2020. · DOI
  37. Pratt, K. A. and Prather, K. A.: Aircraft measurements of vertical profiles of aerosol mixing states, J. Geophys. Res.-Atmos., 115, D11305, https://doi.org/10.1029/2009JD013150, 2010. · DOI
  38. Samset, B. H., Myhre, G., Schulz, M., Balkanski, Y., Bauer, S., Berntsen, T. K., Bian, H., Bellouin, N., Diehl, T., Easter, R. C., Ghan, S. J., Iversen, T., Kinne, S., Kirkevåg, A., Lamarque, J.-F., Lin, G., Liu, X., Penner, J. E., Seland, Ø., Skeie, R. B., Stier, P., Takemura, T., Tsigaridis, K., and Zhang, K.: Black carbon ver- tical profiles strongly affect its radiative forcing uncertainty, At- mos. Chem. Phys., 13, 2423-2434, https://doi.org/10.5194/acp- 13-2423-2013, 2013. · DOI
  39. Sand, M., Samset, B. H., Balkanski, Y., Bauer, S., Bellouin, N., Berntsen, T. K., Bian, H., Chin, M., Diehl, T., Easter, R., Ghan, S. J., Iversen, T., Kirkevåg, A., Lamarque, J.-F., Lin, G., Liu, X., Luo, G., Myhre, G., Noije, T. V., Penner, J. E., Schulz, M., Seland, Ø., Skeie, R. B., Stier, P., Takemura, T., Tsigaridis, K., Yu, F., Zhang, K., and Zhang, H.: Aerosols at the poles: an AeroCom Phase II multi-model evaluation, Atmos. Chem. Phys., 17, 12197-12218, https://doi.org/10.5194/acp-17-12197- 2017, 2017. · DOI
  40. Schmale, J., Schneider, J., Jurkat, T., Voigt, C., Kalesse, H., Rautenhaus, M., Lichtenstern, M., Schlager, H., Ancellet, G., Arnold, F., Gerding, M., Mattis, I., Wendisch, M., and Borrmann, S.: Aerosol layers from the 2008 eruptions of Mount Okmok and Mount Kasatochi: In situ upper tropo- sphere and lower stratosphere measurements of sulfate and or- ganics over Europe, J. Geophys. Res.-Atmos., 115, D00L07, https://doi.org/10.1029/2009JD013628, 2010. · DOI
  41. Schmale, J., Schneider, J., Ancellet, G., Quennehen, B., Stohl, A., Sodemann, H., Burkhart, J. F., Hamburger, T., Arnold, S. R., Schwarzenboeck, A., Borrmann, S., and Law, K. S.: Source iden- tification and airborne chemical characterisation of aerosol pol- lution from long-range transport over Greenland during POLAR- CAT summer campaign 2008, Atmos. Chem. Phys., 11, 10097- 10123, https://doi.org/10.5194/acp-11-10097-2011, 2011. · DOI
  42. Schmale, J., Henning, S., Decesari, S., Henzing, B., Keskinen, H., Sellegri, K., Ovadnevaite, J., Pöhlker, M. L., Brito, J., Bougia- tioti, A., Kristensson, A., Kalivitis, N., Stavroulas, I., Carbone, S., Jefferson, A., Park, M., Schlag, P., Iwamoto, Y., Aalto, P., Äijälä, M., Bukowiecki, N., Ehn, M., Frank, G., Fröhlich, R., Frumau, A., Herrmann, E., Herrmann, H., Holzinger, R., Kos, G., Kulmala, M., Mihalopoulos, N., Nenes, A., O'Dowd, C., Petäjä, T., Picard, D., Pöhlker, C., Pöschl, U., Poulain, L., Prévôt, A. S. H., Swietlicki, E., Andreae, M. O., Artaxo, P., Wieden- sohler, A., Ogren, J., Matsuki, A., Yum, S. S., Stratmann, F., Baltensperger, U., and Gysel, M.: Long-term cloud condensa- tion nuclei number concentration, particle number size distribu- tion and chemical composition measurements at regionally rep- resentative observatories, Atmos. Chem. Phys., 18, 2853-2881, https://doi.org/10.5194/acp-18-2853-2018, 2018. · DOI
  43. Seinfeld, J. H. and Pandis, S. N.: Atmospheric chemistry and physics: from air pollution to climate change, John Wiley&Sons, Hoboken, USA, 1326 pp., ISBN: 978-1-118-94740-1, 2016.
  44. Spanu, A., Dollner, M., Gasteiger, J., Bui, T. P., and Weinzierl, B.: Flow-induced errors in airborne in situ measurements of aerosols and clouds, Atmos. Meas. Tech., 13, 1963-1987, https://doi.org/10.5194/amt-13-1963-2020, 2020. · DOI
  45. Springston, S., Chand, D., Ermold, B., Shilling, J., and Flynn, C.: Ozone Monitor (OZONE) Instrument Hand- book, U.S. Department of Energy, DOE/SC-ARM-TR-179, https://doi.org/10.2172/1246164, 2020. · DOI
  46. Stolzenburg, M. R. and McMurry, P. H.: An Ultrafine Aerosol Condensation Nucleus Counter, Aerosol Sci. Tech., 14, 48-65, https://doi.org/10.1080/02786829108959470, 1991. · DOI
  47. Thorsen, T. J. and Fu, Q.: CALIPSO-inferred aerosol di- rect radiative effects: Bias estimates using ground-based Ra- man lidars, J. Geophys. Res.-Atmos., 120, 12209-12220, https://doi.org/10.1002/2015JD024095, 2015. · DOI
  48. Travis, B., Dubey, M., and Sauer, J.: Neural networks to lo- cate and quantify fugitive natural gas leaks for a MIR de- tection system, Atmospheric Environment: X, 8, 100092, https://doi.org/10.1016/j.aeaoa.2020.100092, 2020. · DOI
  49. von der Weiden, S.-L., Drewnick, F., and Borrmann, S.: Particle Loss Calculator -a new software tool for the assessment of the performance of aerosol inlet systems, Atmos. Meas. Tech., 2, 479-494, https://doi.org/10.5194/amt-2-479-2009, 2009. · DOI

Authors
Pohorsky, R., Baccarini, A., Tolu, J., Winkel, L. H. E., & Schmale, J.
Affiliations
  • École Polytechnique Fédérale de Lausanne (CH)
  • ETH Zurich (CH)
Corresponding author
  • Pohorsky, Roman
  • Schmale, Julia
Venue
Atmospheric Measurement Techniques
Published
2024-01-30
Volume
17
Issue
2
Pages
731-754
ISSN
  • 1867-1381 (ISSN-L)
  • 1867-8548
OpenAlex
W4391375831
Cited by
21
References
51
Citations by year
2026: 6 · 2025: 10 · 2024: 4 · 2023: 1
FWCI
3.66
Type
journal article
Language
en
Open access
Locations
  • Atmospheric measurement techniques (publishedVersion, cc-by)
  • DORA Eawag (Swiss Federal Institute of Aquatic Science and Technology (Eawag)) (submittedVersion, cc-by)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Repository for Publications and Research Data (ETH Zurich) (submittedVersion, cc-by)
  • ETH Zürich Research Collection
Funders
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (200021_212101)
  • Swiss Polar Institute (Technogrant 2019)
Topics
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
  • Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
  • Physical Sciences › Environmental Science › Environmental Engineering › Air Quality Monitoring and Forecasting
Keywords
boundary layer, lower free troposphere, tethered balloon, aerosol size distribution, aerosol-cloud interactions, atmospheric composition, alpaca

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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