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Nasse, Jan-Marcus; Frieß, Udo; Schaefer, Thomas; Jurányi, Zsófia; Hoffmann, Helene; Weller, Rolf (2023): Raw values of boundary layer OIO measurements at Neumayer III station, Antarctica from January 2016 to August 2018 [dataset]. Institut für Umweltphysik, Universität Heidelberg, PANGAEA, https://doi.org/10.1594/PANGAEA.900906, In: Nasse, J-M et al. (2023): Long-Path DOAS measurements of boundary layer trace gas mixing ratios at Neumayer III station, Antarctica from January 2016 to August 2018 [dataset publication series]. Institut für Umweltphysik, Universität Heidelberg, PANGAEA, https://doi.org/10.1594/PANGAEA.900919

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Abstract:
From January 2016 until August 2018, an automated Long-Path Differential Optical Absorption Spectroscopy (LP-DOAS) instrument was operated at the German research station Neumayer III (NMIII) in coastal Antarctica to measure trace gas mixing ratios in the boundary layer close to the ground (average altitude above the snow surface: 4m). Two different atmospheric light paths with total lengths of 3100 m and 5900m were used depending on visibility.
The DOAS evaluation of OIO was performed between 532.5 and 549 nm. Fits with residual optical density RMS (root mean square) values larger than 4.0e-4 were discarded. The resulting mean residual RMS is 2.3e-4. The mean detection limit is 12 pmol/mol.
The data sets include the observations below the respective detection limit scattered around 0, which due to the spectral analysis with the DOAS approach can include negative values.
OIO was not detected above a 3-sigma detection limit. Since total errors and hence detection limits are determined from spectral information, the detection limit of OIO can serve as an upper limit for an atmospheric presence.
The mixing ratios provided here were calculated using meteorological data from Neumayer III station already published on PANGAEA. A list of data sets is included in the "Related to" section of the bibliography this data set is part of.
The spectral raw data of the measurements is stored on the measurement data server of the Institute of Environmental Physics, University of Heidelberg.
Further details:
Nasse, Jan-Marcus (2019): Halogens in the coastal boundary layer of Antarctica (PhD Thesis). University of Heidelberg, https://doi.org/10.11588/HEIDOK.00026489
Nasse, Jan-Marcus; Eger, P G; Pöhler, Denis; Schmitt, S; Frieß, Udo; Platt, Ulrich (2019): Recent improvements of long-path DOAS measurements: impact on accuracy and stability of short-term and automated long-term observations. Atmospheric Measurement Techniques, 12(8), 4149-4169, https://doi.org/10.5194/amt-12-4149-2019
Coverage:
Latitude: -70.650000 * Longitude: -8.250000
Date/Time Start: 2016-01-18T11:48:17 * Date/Time End: 2018-08-10T01:39:34
Minimum Elevation: 42.0 m * Maximum Elevation: 42.0 m
Event(s):
Neumayer_SPUSO * Latitude: -70.650000 * Longitude: -8.250000 * Date/Time: 1983-01-01T00:00:00 * Elevation: 42.0 m * Location: Dronning Maud Land, Antarctica * Campaign: Neumayer_based * Basis: NEUMAYER III * Method/Device: Air chemistry observatory (SPUSO)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1DATE/TIMEDate/TimeNasse, Jan-MarcusGeocode
2Iodine dioxide mixing ratioIO2 mix ratiopmol/molNasse, Jan-MarcusLong-Path Differential Optical Absorption Spectroscopy (LP-DOAS)
3Iodine dioxide mixing ratio, errorIO2 mix ratio e±Nasse, Jan-MarcusLong-Path Differential Optical Absorption Spectroscopy (LP-DOAS)
4Detection leveldlNasse, Jan-MarcusIO2 in pmol/mol
5Iodine dioxideIO21/cm3Nasse, Jan-MarcusLong-Path Differential Optical Absorption Spectroscopy (LP-DOAS)
6Iodine dioxide, errorIO2 e±Nasse, Jan-MarcusLong-Path Differential Optical Absorption Spectroscopy (LP-DOAS)
7Detection leveldlNasse, Jan-MarcusIO2 in molec/cm**3
8Date/time startDate/time startNasse, Jan-Marcusof spectra aquisition
9Date/time endDate/time endNasse, Jan-Marcusof spectra aquisition
10Total atmospheric light pathLight pathmNasse, Jan-Marcusof measurement
11Method commentMethod commNasse, Jan-MarcusSpectral region of the DOAS evaluation [nm]
Size:
76540 data points

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