2009
DOI: 10.5194/bg-6-987-2009
|View full text |Cite
|
Sign up to set email alerts
|

Potential impacts from biological aerosols on ensembles of continental clouds simulated numerically

Abstract: Abstract. An aerosol-cloud modeling framework is described to simulate the activation of ice particles and droplets by biological aerosol particles, such as airborne icenucleation active (INA) bacteria. It includes the empirical parameterisation of heterogeneous ice nucleation and a semi-prognostic aerosol component, which have been incorporated into a cloud-system resolving model (CSRM) with double-moment bulk microphysics. The formation of cloud liquid by soluble material coated on these partially insoluble … Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

4
126
0

Year Published

2011
2011
2017
2017

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 103 publications
(130 citation statements)
references
References 81 publications
(143 reference statements)
4
126
0
Order By: Relevance
“…If they play a catalyzing role in the formation of precipitation, they could have applications in drought mitigation. Phillips et al (2009) also wrote that the abundance of bacterial ice nuclei in the environment, their capacity to induce ice formation and their overall apparent link to the water cycle lead to the open question of whether emissions of such ice nucleating biogenic particles from their sources (plants in particular) can be modified by their own effects on clouds and atmospheric conditions, forming a weak feedback system, which is consistent with the proposal of Sands et al (1982).…”
Section: Introductionsupporting
confidence: 58%
See 2 more Smart Citations
“…If they play a catalyzing role in the formation of precipitation, they could have applications in drought mitigation. Phillips et al (2009) also wrote that the abundance of bacterial ice nuclei in the environment, their capacity to induce ice formation and their overall apparent link to the water cycle lead to the open question of whether emissions of such ice nucleating biogenic particles from their sources (plants in particular) can be modified by their own effects on clouds and atmospheric conditions, forming a weak feedback system, which is consistent with the proposal of Sands et al (1982).…”
Section: Introductionsupporting
confidence: 58%
“…Therefore, the results of this simple numerical modeling emphasize that biological IN or any IN with warm temperature activity (warmer than −8 • C) are relevant for cloud electricity, as has been suggested previously in the work of Phillips et al (2009). Additionally, this work, Phillips et al (2009), found that INA can influence significantly the average number and size of crystals in the clouds; the horizontal cloud coverage, precipitation and radiative properties and they open questions about whether emissions of IN particles can be modified by their own effects on clouds and atmospheric conditions. Besides, Michaud et al (2011) observed that centers of hailstones contain much more bacteria than the surrounding air which emphasizes all results.…”
Section: Discussionmentioning
confidence: 73%
See 1 more Smart Citation
“…However, on regional scales both observations and model studies have shown that biological particles may indeed play significant roles in atmospheric ice formation processes (e.g. Phillips et al, 2009;Prenni et al, 2009).…”
Section: O'sullivan Et Al: Ice Nucleation By Fertile Soil Dustsmentioning
confidence: 99%
“…Recently ice initiations have been explicitly treated through the activations of ice nuclei in some meso-scale and global scale models (Lohmann and Diehl 2006;Phillips et al 2009;DeMott et al 2010) although in most of the models, ice initiation processes are prescribed as a function of temperature and/or supersaturation with respect to ice, regardless of ability of aerosol particles as IN and spatial and temporal distribution of their concentrations. In order to validate the models and/or to provide the initial and boundary conditions for the models, the spatial and temporal distributions of IN concentrations are required.…”
Section: Introductionmentioning
confidence: 99%