Subarctic atmospheric aerosol composition. 3. Measured and modeled properties of cloud condensation nuclei
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Autor:innen
Kammermann, Lukas
Gysel, Martin
Herich, Hanna
Cziczo, Daniel J.
Holst, Thomas
Svenningsson, Birgitta
Arneth, Almut
Baltensperger, Urs
Autor:in (Körperschaft)
Publikationsdatum
19.02.2010
Typ der Arbeit
Studiengang
Typ
01A - Beitrag in wissenschaftlicher Zeitschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Journal of Geophysical Research: Atmospheres
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
115
Ausgabe / Nummer
D4
Seiten / Dauer
Patentnummer
Verlag / Herausgebende Institution
Wiley
Verlagsort / Veranstaltungsort
Hoboken
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
Aerosol particles can modify cloud properties by acting as cloud condensation nuclei (CCN). Predicting CCN properties is still a challenge and not properly incorporated in current climate models. Atmospheric particle number size distributions, hygroscopic growth factors, and polydisperse CCN number concentrations were measured at the remote subarctic Stordalen mire, 200 km north of the Arctic Circle in northern Sweden. The CCN number concentration was highly variable, largely driven by variations in the total number of sufficiently large particles, though the variability of chemical composition was increasingly important for decreasing supersaturation. The hygroscopicity of particles measured by a hygroscopicity tandem differential mobility analyzer (HTDMA) was in agreement with large critical diameters observed for CCN activation (κ ≈ 0.07–0.21 for D = 50–200 nm). Size distribution and time‐ and size‐resolved HTDMA data were used to predict CCN number concentrations. Agreement of predictions with measured CCN within ±11% was achieved using parameterized Köhler theory and assuming a surface tension of pure water. The sensitivity of CCN predictions to various simplifying assumptions was further explored: We found that (1) ignoring particle mixing state did not affect CCN predictions, (2) averaging the HTDMA data in time with retaining the size dependence did not introduce a substantial bias, while individual predictions became more uncertain, and (3) predictions involving the hygroscopicity parameter recommended in literature for continental sites (κ ≈ 0.3 ± 0.1) resulted in a significant prediction bias. Future modeling studies should therefore at least aim at using averaged, size‐resolved, site‐specific hygroscopicity or chemical composition data for predictions of CCN number concentrations.
Schlagwörter
Fachgebiet (DDC)
550 - Geowissenschaften
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
2169-8996
2169-897X
2169-897X
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Nein
Publikationsstatus
Veröffentlicht
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Closed
Lizenz
Zitation
KAMMERMANN, Lukas, Martin GYSEL, Ernest WEINGARTNER, Hanna HERICH, Daniel J. CZICZO, Thomas HOLST, Birgitta SVENNINGSSON, Almut ARNETH und Urs BALTENSPERGER, 2010. Subarctic atmospheric aerosol composition. 3. Measured and modeled properties of cloud condensation nuclei. Journal of Geophysical Research: Atmospheres. 19 Februar 2010. Bd. 115, Nr. D4. DOI 10.1029/2009JD012447. Verfügbar unter: https://irf.fhnw.ch/handle/11654/46645