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Titel |
Investigating potential biases in observed and modeled metrics of aerosol-cloud-precipitation interactions |
VerfasserIn |
H. T. Duong, A. Sorooshian, G. Feingold |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1680-7316
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Digitales Dokument |
URL |
Erschienen |
In: Atmospheric Chemistry and Physics ; 11, no. 9 ; Nr. 11, no. 9 (2011-05-03), S.4027-4037 |
Datensatznummer |
250009687
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Publikation (Nr.) |
copernicus.org/acp-11-4027-2011.pdf |
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Zusammenfassung |
This study utilizes large eddy simulation, aircraft measurements, and
satellite observations to identify factors that bias the absolute magnitude
of metrics of aerosol-cloud-precipitation interactions for warm clouds. The
metrics considered are precipitation susceptibility So, which examines
rain rate sensitivity to changes in drop number, and a cloud-precipitation
metric, χ, which relates changes in rain rate to those in drop size. While
wide ranges in rain rate exist at fixed cloud drop concentration for
different cloud liquid water amounts, χ and So are shown to be relatively
insensitive to the growth phase of the cloud for large datasets that include
data representing the full spectrum of cloud lifetime. Spatial resolution of
measurements is shown to influence the liquid water path-dependent behavior
of So and χ. Other factors of importance are the choice of the minimum
rain rate threshold, and how to quantify rain rate, drop size, and the cloud
condensation nucleus proxy. Finally, low biases in retrieved aerosol amounts
owing to wet scavenging and high biases associated with above-cloud aerosol
layers should be accounted for. The paper explores the impact of these
effects for model, satellite, and aircraft data. |
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