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Titel |
High-resolution (375 m) cloud microstructure as seen from the NPP/VIIRS satellite imager |
VerfasserIn |
D. Rosenfeld, G. Liu, X. Yu, Y. Zhu, J. Dai, X. Xu, Z. Yue |
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 ; 14, no. 5 ; Nr. 14, no. 5 (2014-03-10), S.2479-2496 |
Datensatznummer |
250118472
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Publikation (Nr.) |
copernicus.org/acp-14-2479-2014.pdf |
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Zusammenfassung |
VIIRS (Visible Infrared Imaging Radiometer Suite), onboard the Suomi NPP
(National Polar-orbiting Partnership) satellite, has an improved resolution of
750 m with respect to the 1000 m of the Moderate Resolution Imaging
Spectroradiometer for the channels that allow retrieving cloud
microphysical parameters such as cloud drop effective radius (re).
VIIRS also has an imager with five channels of double resolution of 375 m,
which was not designed for retrieving cloud products. A methodology for a
high-resolution retrieval of re and microphysical presentation of the
cloud field based on the VIIRS imager was developed and evaluated with
respect to MODIS in this study. The tripled microphysical resolution with
respect to MODIS allows obtaining new insights for cloud–aerosol
interactions, especially at the smallest cloud scales, because the VIIRS
imager can resolve the small convective elements that are sub-pixel for
MODIS cloud products. Examples are given for new insights into ship tracks in
marine stratocumulus, pollution tracks from point and diffused sources in
stratocumulus and cumulus clouds over land, deep tropical convection in
pristine air mass over ocean and land, tropical clouds that develop in smoke
from forest fires and in heavy pollution haze over densely populated regions
in southeastern Asia, and for pyro-cumulonimbus clouds.
It is found that the VIIRS imager provides more robust physical
interpretation and refined information for cloud and aerosol microphysics as
compared to MODIS, especially in the initial stage of cloud formation. VIIRS
is found to identify significantly more fully cloudy pixels when small
boundary layer convective elements are present. This, in turn, allows for a
better quantification of cloud–aerosol interactions and impacts on
precipitation-forming processes. |
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