http://www.cnr.it/ontology/cnr/individuo/prodotto/ID171384
Rainfall assimilation in RAMS by means of the Kuo parameterisation inversion : method and preliminary results (Articolo in rivista)
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- Rainfall assimilation in RAMS by means of the Kuo parameterisation inversion : method and preliminary results (Articolo in rivista) (literal)
- Anno
- 2004-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1016/j.jhydrol.2003.11.039 (literal)
- Alternative label
Orlandi, A., A. Ortolani, F. Meneguzzo, F. Torricella, V. Levizzani, and F. J. Turk (2004)
Rainfall assimilation in RAMS by means of the Kuo parameterisation inversion : method and preliminary results
in Journal of hydrology (Amst.)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Orlandi, A., A. Ortolani, F. Meneguzzo, F. Torricella, V. Levizzani, and F. J. Turk (literal)
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- http://www.sciencedirect.com/science/article/pii/S0022169403004566 (literal)
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- ALBERTO ORTOLANI; FRANCESCO MENEGUZZO; ANDREA ORLANDI
ISTITUTO DI BIOMETEOROLOGIA
FRANCESCA TORRICELLA; VINCENZO LEVIZZANI
ISTITUTO PER LO STUDIO DELL'ATMOSFERA E DEL CLIMA (literal)
- Titolo
- Rainfall assimilation in RAMS by means of the Kuo parameterisation inversion : method and preliminary results (literal)
- Abstract
- In order to improve high-resolution forecasts, a specific method for assimilating rainfall rates into the Regional Atmospheric Modelling System model has been developed. It is based on the inversion of the Kuo convective parameterisation scheme. A nudging technique is applied to 'gently' increase with time the weight of the estimated precipitation in the assimilation process. A rough but manageable technique is explained to estimate the partition of convective precipitation from stratiform one, without requiring any ancillary measurement. The method is general purpose, but it is tuned for geostationary satellite rainfall estimation assimilation. Preliminary results are presented and discussed, both through totally simulated experiments and through experiments assimilating real satellite-based precipitation observations. For every case study, Rainfall data are computed with a rapid update satellite precipitation estimation algorithm based on IR and MW satellite observations. This research was carried out in the framework of the EURAINSAT project (an EC research project co-funded by the Energy, Environment and Sustainable Development Programme within the topic 'Development of generic Earth observation technologies', Contract number EVG1-2000-00030). (literal)
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