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1000 Titel
  • Ice-nucleating particles in northern Greenland: annual cycles, biological contribution and parameterizations
1000 Autor/in
  1. Sze, Kevin C. H. |
  2. Wex, Heike |
  3. Hartmann, Markus |
  4. Skov, Henrik |
  5. Massling, Andreas |
  6. Villanueva, Diego |
  7. Stratmann, Frank |
1000 Erscheinungsjahr 2023
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-04-20
1000 Erschienen in
1000 Quellenangabe
  • 23(8):4741-4761
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.5194/acp-23-4741-2023 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Ice-nucleating particles (INPs) can initiate ice formation in clouds at temperatures above −38 ∘C through heterogeneous ice nucleation. As a result, INPs affect cloud microphysical and radiative properties, cloud lifetime, and precipitation behavior and thereby ultimately the Earth's climate. Yet, little is known regarding the sources, abundance and properties of INPs, especially in remote regions such as the Arctic. In this study, 2-year-long INP measurements (from July 2018 to September 2020) at Villum Research Station in northern Greenland are presented. A low-volume filter sampler was deployed to collect filter samples for offline INP analysis. An annual cycle of INP concentration (NINP) was observed, and the fraction of heat-labile INPs was found to be higher in months with low to no snow cover and lower in months when the surface was well covered in snow (> 0.8 m). Samples were categorized into three different types based only on the slope of their INP spectra, namely into summer, winter and mix type. For each of the types a temperature-dependent INP parameterization was derived, clearly different depending on the time of the year. Winter and summer types occurred only during their respective seasons and were seen 60 % of the time. The mixed type occurred in the remaining 40 % of the time throughout the year. April, May and November were found to be transition months. A case study comparing April 2019 and April 2020 was performed. The month of April was selected because a significant difference in NINP was observed during these two periods, with clearly higher NINP in April 2020. In parallel to the observed differences in NINP, also a higher cloud-ice fraction was observed in satellite data for April 2020, compared to April 2019. NINP in the case study period revealed no clear dependency on either meteorological parameters or different surface types which were passed by the collected air masses. Overall, the results suggest that the coastal regions of Greenland were the main sources of INPs in April 2019 and 2020, most likely including both local terrestrial and marine sources.
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/U3plLCBLZXZpbiBDLiBILg==|https://frl.publisso.de/adhoc/uri/V2V4LCBIZWlrZQ==|https://frl.publisso.de/adhoc/uri/SGFydG1hbm4sIE1hcmt1cw==|https://frl.publisso.de/adhoc/uri/U2tvdiwgSGVucmlr|https://frl.publisso.de/adhoc/uri/TWFzc2xpbmcsIEFuZHJlYXM=|https://frl.publisso.de/adhoc/uri/VmlsbGFudWV2YSwgRGllZ28=|https://frl.publisso.de/adhoc/uri/U3RyYXRtYW5uLCBGcmFuaw==
1000 Label
1000 Förderer
  1. Deutsche Forschungsgemeinschaft |
  2. Leibniz-Gemeinschaft |
1000 Fördernummer
  1. 268020496
  2. -
1000 Förderprogramm
  1. TRR 172
  2. Open Access fund
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft |
    1000 Förderprogramm TRR 172
    1000 Fördernummer 268020496
  2. 1000 joinedFunding-child
    1000 Förderer Leibniz-Gemeinschaft |
    1000 Förderprogramm Open Access fund
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6475443.rdf
1000 Erstellt am 2024-04-30T08:33:06.708+0200
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1000 Zuletzt bearbeitet 2024-04-30T08:34:36.852+0200
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1000 Oai Id
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