Validating precipitation forecasts using remote sensor synergy: A case study approach
Several types of remote sensing data are applied synergistically to evaluate the chain of microphysical processes leading to precipitation in a high-resolution numerical weather prediction model. The data provides information relating to (i) cloud-top temperature and optical depth (SEVERI), (ii) ice...
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| Autori principali: | , , , , , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Borntraeger
2010-12-01
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| Serie: | Meteorologische Zeitschrift |
| Accesso online: | http://dx.doi.org/10.1127/0941-2948/2010/0487 |
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