Aerosol-cloud interactions in mixed-phase convective clouds - Part 2: Meteorological ensemble

Publikationstyp:
Zeitschriftenaufsatz
Metadaten:
Autoren
  • Annette K Miltenberger
  • Paul R Field
  • Adrian A Hill
  • Ben J Shipway
  • Jonathan M Wilkinson
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000439936200001&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.5194/acp-18-10593-2018
eISSN
1680-7324
Externe Identifier
  • Clarivate Analytics Document Solution ID: GO3YL
ISSN
1680-7316
Ausgabe der Veröffentlichung
14
Zeitschrift
ATMOSPHERIC CHEMISTRY AND PHYSICS
Paginierung
10593 - 10613
Datum der Veröffentlichung
2018
Status
Published
Titel
Aerosol-cloud interactions in mixed-phase convective clouds - Part 2: Meteorological ensemble
Sub types
  • Article
Ausgabe der Zeitschrift
18

Datenquelle: Web of Science (Lite)

Andere Metadatenquellen:
Abstract
<jats:p>Abstract. The relative contribution of variations in meteorological and aerosol initial and boundary conditions to the variability in modelled cloud properties is investigated with a high-resolution ensemble (30 members). In the investigated case, moderately deep convection develops along sea-breeze convergence zones over the southwestern peninsula of the UK. A detailed analysis of the mechanism of aerosol–cloud interactions in this case has been presented in the first part of this study (Miltenberger et al., 2018). The meteorological ensemble (10 members) varies by about a factor of 2 in boundary-layer moisture convergence, surface precipitation, and cloud fraction, while aerosol number concentrations are varied by a factor of 100 between the three considered aerosol scenarios. If ensemble members are paired according to the meteorological initial and boundary conditions, aerosol-induced changes are consistent across the ensemble. Aerosol-induced changes in CDNC (cloud droplet number concentration), cloud fraction, cell number and size, outgoing shortwave radiation (OSR), instantaneous and mean precipitation rates, and precipitation efficiency (PE) are statistically significant at the 5 % level, but changes in cloud top height or condensate gain are not. In contrast, if ensemble members are not paired according to meteorological conditions, aerosol-induced changes are statistically significant only for CDNC, cell number and size, outgoing shortwave radiation, and precipitation efficiency. The significance of aerosol-induced changes depends on the aerosol scenarios compared, i.e. an increase or decrease relative to the standard scenario. A simple statistical analysis of the results suggests that a large number of realisations (typically &gt;100) of meteorological conditions within the uncertainty of a single day are required for retrieving robust aerosol signals in most cloud properties. Only for CDNC and shortwave radiation small samples are sufficient. While the results are strictly only valid for the investigated case, the presented evidence combined with previous studies highlights the necessity for careful consideration of intrinsic predictability, meteorological conditions, and co-variability between aerosol and meteorological conditions in observational or modelling studies on aerosol indirect effects. </jats:p>
Autoren
  • Annette K Miltenberger
  • Paul R Field
  • Adrian A Hill
  • Ben J Shipway
  • Jonathan M Wilkinson
DOI
10.5194/acp-18-10593-2018
eISSN
1680-7324
Ausgabe der Veröffentlichung
14
Zeitschrift
Atmospheric Chemistry and Physics
Sprache
en
Online publication date
2018
Paginierung
10593 - 10613
Status
Published online
Herausgeber
Copernicus GmbH
Herausgeber URL
http://dx.doi.org/10.5194/acp-18-10593-2018
Datum der Datenerfassung
2020
Titel
Aerosol–cloud interactions in mixed-phase convective clouds – Part 2: Meteorological ensemble
Ausgabe der Zeitschrift
18

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