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| Titel |
Improving rain retrievals from airborne Doppler cloud radar, with EarthCARE in mind |
| VerfasserIn |
Shannon Mason, Christine Chiu, Robin Hogan, Lin Tian |
| 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 |
250150047
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| Publikation (Nr.) |
 EGU/EGU2017-14471.pdf |
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| Zusammenfassung |
| Spaceborne cloud radar measurements from CloudSat have enabled major advances in global
retrievals of light to moderate rain. However estimates of rain rate are sensitive to underlying
assumptions, in particular to the rain drop size distribution; and retrievals of rain rates over
land remain an outstanding challenge. The upcoming EarthCARE satellite mission
will feature a Doppler cloud radar alongside lidar and radiometers: spaceborne
Doppler measurements will provide an excellent opportunity to better constrain rain
drop size, helping to reduce uncertainties in rain retrievals over both ocean and
land.
In this study we explore how the new Doppler capability can be used to retrieve an
additional parameter of rain drop size distribution, and we quantify the improvement in rain
rate estimates. We use examples of airborne Doppler radar measurements made during the
Tropical Composition, Cloud and Climate Coupling (TC4) field campaign in the eastern
Pacific in 2007. Doppler radar measurements are included in a novel synergistic retrieval
method to characterise rain rate and rain drop number concentration for a wide range of cases
from light to heavy rain and from stratiform to convective regimes. These results will inform
how we can best make use of the new Doppler measurements from EarthCARE. |
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