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| Titel |
Remote sensing of ice density and riming processes with Doppler radar |
| VerfasserIn |
Shannon Mason, Christine Chiu, Robin Hogan, Stefan Kneifel, Dmitri Moisseev |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250149758
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| Publikation (Nr.) |
 EGU/EGU2017-14142.pdf |
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| Zusammenfassung |
| Satellite radar–lidar measurements have facilitated advances in global estimates of ice cloud
and precipitation, especially in remote maritime and polar environments. A major uncertainty
is the composition and density of ice particles, which depend on ice growth processes such as
aggregation, and riming in the presence of supercooled liquid droplets. The upcoming
EarthCARE satellite, the first Doppler radar in space, will be capable of retrieving ice density
by using Doppler velocity measurements to distinguish fast-falling rimed particles from
lighter, slower aggregates.
In this study we use vertically-pointing Doppler radar measurements from the ARM
mobile facility at Hyytiälä, Finland to retrieve the fractional volume of rimed ice and
aggregate snow. The retrievals are made using CAPTIVATE, the novel variational retrieval
scheme developed for EarthCARE, and are compared against in situ measurements at the
surface. These results will provide insights into ice growth processes, and will inform to what
extent the new spaceborne Doppler radar capability stands to reduce uncertainties in
retrievals of ice water content and the detection of mixed-phase cloud in polar regions. |
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