Wideband integrated bioaerosol sensor (WIBS) excited particle normalized size distributions (dN/dlogDp) measured in the Swiss container during MOSAiC 2019/2020

These datasets contain normalized size distributions (dN/dlogDp) of excited particles of sizes 0.5 to 20 μm (optical diameter). The normalized size distribution datasets are split into 20 size bins: 0.5 - 0.6 μm, 0.6 - 0.72 μm, 0.72 - 0.87 μm, 0.87 - 1.05 μm, 1.05 - 1.26 μm, 1.26 - 1.51 μm, 1.51 - 1...

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Bibliographic Details
Main Authors: Beck, Ivo, Moallemi, Alireza, Rolo, Margarida, Quéléver, Lauriane, Jokinen, Tuija, Laurila, Tiia, Schmale, Julia
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
aerosol
Arctic aerosol
Arctic Ocean
DATE/TIME
Event label
fluorescent aerosols
LATITUDE
Log-normal particle size distribution
excited
LONGITUDE
MOSAiC
MOSAiC_ATMOS
MOSAiC20192020
Multidisciplinary drifting Observatory for the Study of Arctic Climate
North Greenland Sea
Polarstern
PS122/1
PS122/1_1-86
PS122/2
PS122/2_14-275
PS122/3
PS122/3_28-40
PS122/4
PS122/4_43-32
PS122/5
PS122/5_58-38
WIBS
Wideband integrated bioaerosol sensor
Greenland
Greenland Sea
North Greenland
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.961125
https://doi.org/10.1594/PANGAEA.961125
Description
Summary:These datasets contain normalized size distributions (dN/dlogDp) of excited particles of sizes 0.5 to 20 μm (optical diameter). The normalized size distribution datasets are split into 20 size bins: 0.5 - 0.6 μm, 0.6 - 0.72 μm, 0.72 - 0.87 μm, 0.87 - 1.05 μm, 1.05 - 1.26 μm, 1.26 - 1.51 μm, 1.51 - 1.82 μm, 1.82 - 2.19 μm, 2.19 - 2.63 μm, 2.63 - 3.16 μm, 3.16 - 3.8 μm, 3.8 - 4.57 μm, 4.57 - 5.5 μm, 5.5 - 6.61 μm, 6.61 - 7.95 μm, 7.95 - 9.56 μm, 9.56 - 11.50 μm, 11.5 - 13.83 μm, 13.83- 16.63 μm and 16.63 - 20 μm. The data were measured by a WIBS-NEO (Wideband Integrated Bioaerosol Sensor, model New Electronics option) by droplet measurement techniques ltd. The data were processed using the IGOR WIBS toolkit V1.36 (DMT) and python version 3.9.7. These datasets have been averaged to 1 hour time resolution. The datasets were cleaned from local pollution sources by applying a pollution flag developed by Beck et al. (2022a,b), which is based on the rate of change in particle number concentration with 1 min time resolution. Data points with more than 10 polluted minutes within an hour were removed from the WIBS datasets. Time periods with zero filter measurements and time periods with unstable flow that affected number concentrations have been removed from the dataset.

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