Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Gong, Xianda; Wex, Heike; Voigtländer, Jens; Fomba, Khanneh Wadinga; Weinhold, Kay; van Pinxteren, Manuela; Henning, Silvia; Müller, Thomas; Herrmann, Hartmut; Stratmann, Frank (2019): Ground-based measurements on aerosol particles at Cape Verde (Sep-Oct 2017). PANGAEA, https://doi.org/10.1594/PANGAEA.905070, Supplement to: Gong, X et al. (2020): Characterization of aerosol particles at Cabo Verde close to sea level and at the cloud level - Part 1: Particle number size distribution, cloud condensation nuclei and their origins. Atmospheric Chemistry and Physics, 20(3), 1431-1449, https://doi.org/10.5194/acp-20-1431-2020

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

Abstract:
In the framework of the MarParCloud (Marine biological production, organic aerosol particles and marine clouds: a Process Chain) project, measurements were carried out on the islands of Cape Verde, to investigate the abundance, properties, and sources of aerosol particles in general and cloud condensation nuclei (CCN) in particular, both close to sea and cloud level heights.
A thorough comparison of particle number concentration (PNC), particle number size distribution (PNSD) and CCN number concentration (NCCN) at the Cape Verde Atmospheric Observatory (CVAO, sea level station) and Monte Verde (MV, cloud level station) reveals that during times without clouds the aerosol at CVAO and MV are similar and the boundary layer is generally well mixed. Therefore, data obtained at CVAO can be used to describe the aerosol particles at cloud level. Cloud events were observed at MV during roughly 58% of the time and during these, a large fraction of particles were activated to cloud droplets.
A trimodal parameterization method was deployed to characterize PNC at CVAO. Based on number concentrations in different aerosol modes, four well separable types of PNSDs were found, which were named the marine type, mixture type, dust type1 and dust type2. Aerosol particles differ depending on their origins. When the air masses came from the Atlantic Ocean, sea spray can be assumed to be one source for particles, besides for new particle formation. For these air masses, PNSDs featured the lowest number concentration in Aitken, accumulation and coarse mode. Particle number concentrations for the sea spray aerosol (SSA, i.e., the coarse mode for these air masses) accounted for about 3.7% of NCCN,0.30% (CCN number concentration at 0.30% supersaturation) and about 1.1% to 4.4% of Ntotal (total particle number concentration). When the air masses came from the Saharan desert, we observed enhanced Aitken, accumulation and coarse mode particle number concentrations and overall increased NCCN. NCCN,0.30% during the strongest observed dust periods is about 2.5 times higher than that during marine periods. However, the particle hygroscopicity parameter κ for these two most different periods shows no significant difference and is generally similar, independent of air mass.
Overall, κ averaged 0.28, suggesting the presence of organic material in particles. This is consistent with previous model work and field measurement. There is a slight increase of κ with increasing particle size, indicating the addition of soluble, likely inorganic material during cloud processing.
Keyword(s):
Cape Verde; cloud condensation nuclei; dust; particle number size distribution; sea spray aerosol
Coverage:
Median Latitude: 16.864756 * Median Longitude: -24.879721 * South-bound Latitude: 16.863610 * West-bound Longitude: -24.933890 * North-bound Latitude: 16.869720 * East-bound Longitude: -24.867220
Date/Time Start: 2017-09-01T00:00:00 * Date/Time End: 2017-11-05T21:42:00
Size:
16 datasets

Download Data

Download ZIP file containing all datasets as tab-delimited text — use the following character encoding:

Datasets listed in this publication series

  1. Gong, X; Wex, H; Voigtländer, J et al. (2019): (Supplement 01) Meteorological observations at Cape Verde Atmospheric Observatory, São Vicente island, Cape Verde (Sep-Oct 2017). https://doi.org/10.1594/PANGAEA.905054
  2. Gong, X; Wex, H; Voigtländer, J et al. (2019): (Supplement 01) Meteorological observations at Monte Verde, São Vicente island, Cape Verde (Sep-Oct 2017). https://doi.org/10.1594/PANGAEA.905055
  3. Gong, X; Wex, H; Voigtländer, J et al. (2019): (Supplement 02) Particle number size distribution data at Cape Verde Atmospheric Observatory, São Vicente island, Cape Verde (Sep-Oct 2017). https://doi.org/10.1594/PANGAEA.905056
  4. Gong, X; Wex, H; Voigtländer, J et al. (2019): (Supplement 03) Particle number concentration at Cape Verde Atmospheric Observatory, São Vicente island, Cape Verde (Sep-Oct 2017). https://doi.org/10.1594/PANGAEA.905057
  5. Gong, X; Wex, H; Voigtländer, J et al. (2019): (Supplement 04) Particle number size distribution of different particle types at Cape Verde Atmospheric Observatory, São Vicente island, Cape Verde (Sep-Oct 2017). https://doi.org/10.1594/PANGAEA.905058
  6. Gong, X; Wex, H; Voigtländer, J et al. (2019): (Supplement 05) Time series of aerosol classification at Cape Verde Atmospheric Observatory, São Vicente island, Cape Verde (Sep-Oct 2017). https://doi.org/10.1594/PANGAEA.905059
  7. Gong, X; Wex, H; Voigtländer, J et al. (2019): (Supplement 06) Cloud particle number concentration at Cape Verde Atmospheric Observatory, São Vicente island, Cape Verde (Sep-Oct 2017). https://doi.org/10.1594/PANGAEA.905060
  8. Gong, X; Wex, H; Voigtländer, J et al. (2019): (Supplement 06) Cloud particle number concentration at Monte Verde, São Vicente island, Cape Verde (Sep-Oct 2017). https://doi.org/10.1594/PANGAEA.905061
  9. Gong, X; Wex, H; Voigtländer, J et al. (2019): (Supplement 07) Cloud particle number size distribution at Cape Verde Atmospheric Observatory, São Vicente island, Cape Verde (Sep-Oct 2017). https://doi.org/10.1594/PANGAEA.905062
  10. Gong, X; Wex, H; Voigtländer, J et al. (2019): (Supplement 07) Cloud particle number size distribution at Monte Verde, São Vicente island, Cape Verde (Sep-Oct 2017). https://doi.org/10.1594/PANGAEA.905063
  11. Gong, X; Wex, H; Voigtländer, J et al. (2019): (Supplement 08) Cloud condensation nuclei time series at 0.15% supersaturation at Cape Verde Atmospheric Observatory, São Vicente island, Cape Verde (Sep-Oct 2017). https://doi.org/10.1594/PANGAEA.905064
  12. Gong, X; Wex, H; Voigtländer, J et al. (2019): (Supplement 08) Cloud condensation nuclei time series at 0.20% supersaturation at Cape Verde Atmospheric Observatory, São Vicente island, Cape Verde (Sep-Oct 2017). https://doi.org/10.1594/PANGAEA.905065
  13. Gong, X; Wex, H; Voigtländer, J et al. (2019): (Supplement 08) Cloud condensation nuclei time series at 0.30% supersaturation at Cape Verde Atmospheric Observatory, São Vicente island, Cape Verde (Sep-Oct 2017). https://doi.org/10.1594/PANGAEA.905066
  14. Gong, X; Wex, H; Voigtländer, J et al. (2019): (Supplement 08) Cloud condensation nuclei time series at 0.50% supersaturation at Cape Verde Atmospheric Observatory, São Vicente island, Cape Verde (Sep-Oct 2017). https://doi.org/10.1594/PANGAEA.905067
  15. Gong, X; Wex, H; Voigtländer, J et al. (2019): (Supplement 08) Cloud condensation nuclei time series at 0.70% supersaturation at Cape Verde Atmospheric Observatory, São Vicente island, Cape Verde (Sep-Oct 2017). https://doi.org/10.1594/PANGAEA.905068
  16. Gong, X; Wex, H; Voigtländer, J et al. (2019): (Supplement 09) Summary of cloud condensation nuclei data at Cape Verde Atmospheric Observatory, São Vicente island, Cape Verde (Sep-Oct 2017). https://doi.org/10.1594/PANGAEA.905069