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Boyer, Matthew; Quéléver, Lauriane; Beck, Ivo; Laurila, Tiia; Sarnela, Nina; Schmale, Julia; Jokinen, Tuija (2023): Ambient concentrations of aerosol precursor vapor concentrations (sulfuric acid, methanesulfonic acid, and iodic acid) in 5-minute resolution measured by a nitrate chemical ionization mass spectrometer [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.963321

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Abstract:
This dataset contains ambient concentrations of aerosol precursor vapors measured in the central Arctic during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. The timeseries includes a full year of sulfuric acid (SA), methanesulfonic acid (MSA), and iodic acid (IA) concentrations retrieved at a time resolution of 5 minutes between October 2019 and September 2020. The data were collected using a nitrate chemical ionization mass spectrometer (NO3-CIMS) as described by Jokinen et al. (2012). The instrument was located in the Swiss container, which was placed on the starboard side of Polarstern's bow on the D-deck during the campaign (Shupe et al., 2022). The concentration retrievals were obtained by integrating peaks from the high-resolution mass spectra for each compound of interest (either as a deprotonated ion or as its corresponding cluster with nitrate), normalizing the result with the sum of charger ions (NO3-, HNO3NO3-, (HNO3)2NO3-), and multiplying by the calibration factor (6×109 molec·cm-3) obtained from a dedicated calibration using SA. Since the instrument calibration was only performed using SA, the concentrations of MSA and IA are low limit estimations. SA was determined by peaks at mass to charge ratios (m/z) of 96.9601 Th (HSO4-) and 159.9557 Th (H2SO4NO3-), MSA was determined by m/z peaks at 94.9808 Th (CH3SO3-) and 157.9765 Th (CH3SO3HNO3-), and IA was determined by m/z peaks at 174.8898 Th (IO3-) and 237.8854 Th (HIO3NO3-). Zero measurements were performed periodically by placing a filter on the inlet of the instrument to determine the detection limit for each individual species. The detection limits were calculated as μ + 3 × σ, where µ is the average concentration and σ is the standard deviation, both of which were evaluated during filter measurements. The resulting detection limits are 8.8e4, 1.5e5, and 5.5e4 molec·cm-3 for SA, MSA, and IA, respectively. The dataset includes flags to specify the data that are below the detection limit. The influence of local pollution from the research vessel and other logistic activities was identified by applying a pollution detection algorithm (Beck et al., 2022) to particle number concentrations from a condensation particle counter (CPC3025, TSI) that was also located in the Swiss container. Periods that were potentially affected by primary pollution are flagged in the dataset. The columns in the data file include the date and time in Coordinated Universal Time (UTC); the concentration of SA, MSA, and IA in molec·cm-3; a detection limit flag for each individual species (1 = below detection limit); and a local pollution flag where the data may have influence from the vessel and logistical activities (1 = pollution was detected).
Keyword(s):
aerosol precursor vapors; central Arctic Ocean; MOSAiC20192020; new particle formation; Polarstern
Related to:
Boyer, Matthew; et al. (in prep.): The annual cycle and sources of relevant aerosol precursor vapors in the central Arctic.
Source:
Haas, Christian (2020): Master track of POLARSTERN cruise PS122/2 in 1 sec resolution (zipped, 36.7 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924672 (position data)
Kanzow, Torsten (2020): Master track of POLARSTERN cruise PS122/3 in 1 sec resolution (zipped, 52 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924678 (position data)
Rex, Markus (2020): Master track of POLARSTERN cruise PS122/1 in 1 sec resolution (zipped, 43.3 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924669 (position data)
Rex, Markus (2021): Master track of POLARSTERN cruise PS122/4 in 1 sec resolution (zipped, 36 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.926830 (position data)
Rex, Markus (2021): Master track of POLARSTERN cruise PS122/5 in 1 sec resolution (zipped, 34 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.926911 (position data)
References:
Beck, Ivo; Angot, Hélène; Baccarini, Andrea; Dada, Lubna; Quéléver, Lauriane; Jokinen, Tuija; Laurila, Tiia; Lampimäki, Markus; Bukowiecki, Nicolas; Boyer, Matthew; Gong, Xianda; Gysel-Beer, Martin; Petäjä, Tuukka; Wang, Jian; Schmale, Julia (2022): Automated identification of local contamination in remote atmospheric composition time series. Atmospheric Measurement Techniques, 15(14), 4195-4224, https://doi.org/10.5194/amt-15-4195-2022
Jokinen, Tuija; Sipilä, Mikko; Junninen, Heikki; Ehn, Mikael; Lönn, G; Hakala, J; Petäjä, Tuukka; Mauldin, R L III; Kulmala, Markku; Worsnop, Douglas R (2012): Atmospheric sulphuric acid and neutral cluster measurements using CI-APi-TOF. Atmospheric Chemistry and Physics, 12(9), 4117-4125, https://doi.org/10.5194/acp-12-4117-2012
Shupe, Matthew D; Rex, Markus; Blomquist, Byron; Persson, P Ola G; Schmale, Julia; Uttal, Taneil; Althausen, Dietrich; Angot, Hélène; Archer, Stephen; Bariteau, Ludovic; Beck, Ivo; Bilberry, John; Bucci, Silvia; Buck, Clifton S; Boyer, Matt; Brasseur, Zoé; Brooks, Ian M; Calmer, Radiance; Cassano, John J; Castro, Vagner; Chu, David; Costa, David; Cox, Christopher J; Creamean, Jessie; Crewell, Susanne; Dahlke, Sandro; Damm, Ellen; de Boer, Gijs; Deckelmann, Holger; Dethloff, Klaus; Dütsch, Marina; Ebell, Kerstin; Ehrlich, André; Ellis, Jody; Engelmann, Ronny; Fong, Allison A; Frey, Markus M; Gallagher, Michael R; Ganzeveld, Laurens; Gradinger, Rolf; Graeser, Jürgen; Greenamyer, Vernon; Griesche, Hannes; Griffiths, Steele; Hamilton, Jonathan; Heinemann, Günther; Helmig, Detlev; Herber, Andreas; Heuzé, Céline; Hofer, Julian; Houchens, Todd; Howard, Dean; Inoue, Jun; Jacobi, Hans-Werner; Jaiser, Ralf; Jokinen, Tuija; Jourdan, Olivier; Jozef, Gina; King, Wessley; Kirchgaessner, Amelie; Klingebiel, Marcus; Krassovski, Misha; Krumpen, Thomas; Lampert, Astrid; Landing, William M; Laurila, Tiia; Lawrence, Dale; Lonardi, Michael; Loose, Brice; Lüpkes, Christof; Maahn, Maximilian; Macke, Andreas; Maslowski, Wieslaw; Marsay, Christopher M; Maturilli, Marion; Mech, Mario; Morris, Sara; Moser, Manuel; Nicolaus, Marcel; Ortega, Paul; Osborn, Jackson; Pätzold, Falk; Perovich, Donald K; Petäjä, Tuukka; Pilz, Christian; Pirazzini, Roberta; Posman, Kevin; Powers, Heath; Pratt, Kerri A; Preußer, Andreas; Quéléver, Lauriane; Radenz, Martin; Rabe, Benjamin; Rinke, Annette; Sachs, Torsten; Schulz, Alexander; Siebert, Holger; Silva, Tercio; Solomon, Amy; Sommerfeld, Anja; Spreen, Gunnar; Stephens, Mark; Stohl, Andreas; Svensson, Gunilla; Uin, Janek; Viegas, Juarez; Voigt, Christiane; von der Gathen, Peter; Wehner, Birgit; Welker, Jeffrey M; Wendisch, Manfred; Werner, Martin; Xie, Zhouqing; Yue, Fange (2022): Overview of the MOSAiC expedition: Atmosphere. Elementa - Science of the Anthropocene, 10(1), https://doi.org/10.1525/elementa.2021.00060
Funding:
Academy of Finland, grant/award no. 296628: Molecular steps of gas-to-particle conversion
Academy of Finland, grant/award no. 328290: Molecular steps of gas-to-particle conversion
Academy of Finland, grant/award no. 335844: Antarctic Climate Forcing Aerosol (ACFA)
Academy of Finland, grant/award no. 337552: Atmosphere and Climate Competence Center (ACCC)
Academy of Finland, grant/award no. 346372: Virtual laboratory for molecular level atmospheric transformations
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AFMOSAiC-1_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AWI_PS122_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate / MOSAiC
European Research Council (ERC), grant/award no. 714621: Molecular steps of gas-to-particle conversion: From oxidation to precursors, clusters and secondary aerosol particles (GASPARCON)
Horizon Europe, grant/award no. 101060072: Advancing understanding of Cumulative Impacts on European marine biodiversity, ecosystem functions and services for human wellbeing (ACTNOW)
Swiss National Science Foundation (SNF), grant/award no. 188478: Measurement-Based understanding of the aeRosol budget in the Arctic and its Climate Effects (MBRACE)
United States Department of Energy, Atmospheric Systems Research Program, grant/award no. DE-SC0022046: Closing the gap on understudied aerosol-climate processes in the rapidly changing central Arctic
Coverage:
Median Latitude: 85.186116 * Median Longitude: 57.637086 * South-bound Latitude: 78.130272 * West-bound Longitude: -176.208611 * North-bound Latitude: 89.999797 * East-bound Longitude: 151.298976
Date/Time Start: 2019-10-20T00:00:00 * Date/Time End: 2020-09-30T23:55:00
Minimum Elevation: -4187.4 m * Maximum Elevation: -310.6 m
Event(s):
PS122/1_1-73 * Latitude Start: 82.063496 * Longitude Start: 119.285024 * Latitude End: 86.593190 * Longitude End: 119.241500 * Date/Time Start: 2019-09-26T20:00:00 * Date/Time End: 2019-12-13T09:04:45 * Elevation: -4187.4 m * Sensor URI: sensor.awi.de * Campaign: PS122/1 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Mass spectrometer (MSPEC)
PS122/2_14-19 * Latitude: 86.593231 * Longitude: 119.237001 * Date/Time: 2019-12-13T09:11:00 * Sensor URI: sensor.awi.de * Location: Arctic Ocean * Campaign: PS122/2 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Mass spectrometer (MSPEC) * Comment: Recording continued from Leg 1
PS122/3_28-41 * Latitude: 88.591064 * Longitude: 55.585638 * Date/Time: 2020-02-24T09:00:00 * Sensor URI: sensor.awi.de * Location: Arctic Ocean * Campaign: PS122/3 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Mass spectrometer (MSPEC) * Comment: continue recording
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
DATE/TIMEDate/TimeJokinen, TuijaGeocode
LATITUDELatitudeJokinen, TuijaGeocode
LONGITUDELongitudeJokinen, TuijaGeocode
Sulfuric acidH2SO4molec/cm3Jokinen, TuijaNitrate chemical ionization mass spectrometer
Methanesulfonic acidMSAmolec/cm3Jokinen, TuijaNitrate chemical ionization mass spectrometer
Iodic acidHIO3molec/cm3Jokinen, TuijaNitrate chemical ionization mass spectrometer
Flag, pollutionFlag pollutionJokinen, TuijaPollution detection algorithm1 = pollution was detected
Flag, detection limit, sulfuric acidFlag DL H2SO4Jokinen, Tuija1 = below detection limit
Flag, detection limit, methanesulfonic acidFlag DL MSAJokinen, Tuija1 = below detection limit
10 Flag, detection limit, iodic acidFlag DL HIO3Jokinen, Tuija1 = below detection limit
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
629516 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Date/Time

Latitude

Longitude

H2SO4 [molec/cm3]

MSA [molec/cm3]

HIO3 [molec/cm3]

Flag pollution

Flag DL H2SO4

Flag DL MSA
10 
Flag DL HIO3
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2019-10-27T00:50:0085.4714261127.114536450115.68166844.12278178.660100
2019-10-27T00:55:0085.4715878127.112212551787.64193291.08200955.251100

Only the first 2000 rows were shown. To view the complete dataset, download it as tab-delimited text. You can still view the full matrix in your browser, but be aware that this may crash the browser due to the huge size.