Black carbon data collection from the European and Canadian Arctic in spring and in summer as measured on board of Polar 5 and Polar 6 aircraft by single particle soot photometer instrument during 8 measurement campaigns between 2009 and 2017. The data collection includes 6 spring-time measurement campaigns: PAMARCMiP 2009, PAMARCMiP 2011, PAMARCMiP 2013, RACEPAC 2014, NETCARE 2014, PAMARCMiP 2017, and 2 summer-time campaigns: NETCARE 2015 and ACLOUD 2017. The region, within the measurements took place was divided into 5 degrees latitude times 5 degrees longitude times 500 meters altitude times one campaign year sized grids. The measured single black carbon particles were sorted into these grids, and if at least 400 single particles were captured within a grid, the measurement was considered as valid and the average black carbon properties were calculated. The data files contain these average properties in the single grids (422 grids in spring, 85 grids in summer). More details on the measurements and how the BC properties were calculated can be found in Juranyi et al. (under review in Communications Earth & Environment).
This dataset contains a pollution flag in 1 min time resolution. It is derived by the pollution detection algorithm (PDA) based on the corrected particle number concentration data (doi:10.1594/PANGAEA.941886) measured during the year long MOSAiC expedition from October 2019 to September 2020. With pollution, we refer to emission from the exhaust of the ship stack, snow groomers, diesel generators, ship vents, helicopters and other. Pollution hence reflects locally emitted particles and trace gases, which are not representative of the central Arctic ambient concentrations. The PDA identifies and flags periods of polluted data in the particle number concentration dataset five steps. The first and most important step identifies polluted periods based on the gradient (time-derivative) of a concentration over time. If this gradient exceeds a given threshold, data are flagged as polluted. Further pollution identification steps are a simple concentration threshold filter, a neighboring points filter (optional), a median and a sparse data filter (optional). The detailed methodology of the derivation of the pollution flag is described in Beck et al. (2022). A description and download link to the used particle number concentration dataset can be found here: doi:10.1594/PANGAEA.941886. The code of the PDA can be found on Zenodo (Beck et al., 2021; doi:10.5281/zenodo.5761101).
Participation of the Swiss Container was co-financed by the Swiss Polar Institute and University of Helsinki.
Black carbon data collection from the European and Canadian Arctic in spring and in summer as measured on board of Polar 5 and Polar 6 aircraft by single particle soot photometer instrument during 8 measurement campaigns between 2009 and 2017. The data collection includes 6 spring-time measurement campaigns: PAMARCMiP 2009, PAMARCMiP 2011, PAMARCMiP 2013, RACEPAC 2014, NETCARE 2014, PAMARCMiP 2017, and 2 summer-time campaigns: NETCARE 2015 and ACLOUD 2017. The region, within the measurements took place was divided into 5 degrees latitude times 5 degrees longitude times 500 meters altitude times one campaign year sized grids. The measured single black carbon particles were sorted into these grids, and if at least 400 single particles were captured within a grid, the measurement was considered as valid and the average black carbon properties were calculated. The data files contain these average properties in the single grids (422 grids in spring, 85 grids in summer). More details on the measurements and how the BC properties were calculated can be found in Juranyi et al.
Black carbon data collection from the European and Canadian Arctic in spring and in summer as measured on board of Polar 5 and Polar 6 aircraft by single particle soot photometer instrument during 8 measurement campaigns between 2009 and 2017. The data collection includes 6 spring-time measurement campaigns: PAMARCMiP 2009, PAMARCMiP 2011, PAMARCMiP 2013, RACEPAC 2014, NETCARE 2014, PAMARCMiP 2017, and 2 summer-time campaigns: NETCARE 2015 and ACLOUD 2017. The region, within the measurements took place was divided into 5 degrees latitude times 5 degrees longitude times 500 meters altitude times one campaign year sized grids. The measured single black carbon particles were sorted into these grids, and if at least 400 single particles were captured within a grid, the measurement was considered as valid and the average black carbon properties were calculated. The data files contain these average properties in the single grids (422 grids in spring, 85 grids in summer). More details on the measurements and how the BC properties were calculated can be found in Juranyi et al.