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| Titel |
Comparing microphysical/dynamical outputs by different cloud resolving models: impact on passive microwave precipitation retrieval from satellite |
| VerfasserIn |
C. M. Medaglia, C. Adamo, F. Baordo, S. Dietrich, S. Michele, V. Kotroni, K. Lagouvardos, A. Mugnai, S. Pinori, E. A. Smith, G. J. Tripoli |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7340
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| Digitales Dokument |
URL |
| Erschienen |
In: 6th Plinius Conference on Mediterranean Storms (2004) ; Nr. 2 (2005-05-07), S.195-199 |
| Datensatznummer |
250000320
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| Publikation (Nr.) |
 copernicus.org/adgeo-2-195-2005.pdf |
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| Zusammenfassung |
| Mesoscale cloud resolving models (CRM's) are often
utilized to generate consistent descriptions of the microphysical structure
of precipitating clouds, which are then used by physically-based algorithms
for retrieving precipitation from satellite-borne microwave radiometers.
However, in principle, the simulated upwelling brightness temperatures
(TB's) and derived precipitation retrievals generated by means of
different CRM's with different microphysical assumptions, may be
significantly different even when the models simulate well the storm
dynamical and rainfall characteristics.
In this paper, we investigate this issue for two well-known models having
different treatment of the bulk microphysics, i.e. the UW-NMS and the MM5.
To this end, the models are used to simulate the same 24-26 November 2002
flood-producing storm over northern Italy. The model outputs that best
reproduce the structure of the storm, as it was observed by the Advanced
Microwave Scanning Radiometer (AMSR) onboard the EOS-Aqua satellite, have
been used in order to compute the upwelling TB's. Then, these TB's have been utilized for retrieving the precipitation fields from the AMSR
observations. Finally, these results are compared in order to provide an
indication of the CRM-effect on precipitation retrieval. |
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