Satellite radiometric remote sensing of rainfall fields: multi-sensor retrieval techniques at geostationary scale (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• Satellite radiometric remote sensing of rainfall fields: multi-sensor retrieval techniques at geostationary scale (Articolo in rivista) (literal)

Anno

• 2005-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.5194/adgeo-2-267-2005 (literal)

Alternative label

• F. S. Marzano, D. Cimini, E. Coppola, M. Verdecchia, V. Levizzani, F. Tapiador, and F. J. Turk (2005)
  Satellite radiometric remote sensing of rainfall fields: multi-sensor retrieval techniques at geostationary scale
  in Advances in geosciences (Online); EUROPEAN GEOSCIENCES UNION,, MAX-PLANCK-STR 13, 37191, KATLENBURG-LINDAU (Germania)
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• F. S. Marzano, D. Cimini, E. Coppola, M. Verdecchia, V. Levizzani, F. Tapiador, and F. J. Turk (literal)

Pagina inizio

• 267 (literal)

Pagina fine

• 272 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.adv-geosci.net/2/267/2005/adgeo-2-267-2005.html (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 2 (literal)

Rivista

• Advances in geosciences (Rivista)

Note

• Google Scholar (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Univ. Roma La Sapienza Univ. l'Aquila, CETEMPS CNR-ISAC, Bologna Universidad de Castilla La Mancha (literal)

Titolo

• Satellite radiometric remote sensing of rainfall fields: multi-sensor retrieval techniques at geostationary scale (literal)

Abstract

• The Microwave Infrared Combined Rainfall Algorithm (MICRA) consists in a statistical integration method using the satellite microwave-based rain-rate estimates, assumed to be accurate enough, to calibrate spaceborne infrared measurements on limited sub-regions and time windows. Rainfall retrieval is pursued at the space-time scale of typical geostationary observations, that is at a spatial resolution of few kilometers and a repetition period of few tens of minutes. The actual implementation is explained, although the basic concepts of MICRA are very general and the method is easy to be extended for considering innovative statistical techniques or measurements from additional space-borne platforms. In order to demonstrate the potentiality of MICRA, case studies over central Italy are also discussed. Finally, preliminary results of MICRA validation by ground based remote and in situ measurements are shown and a comparison with a Neural Network (NN) based technique is briefly illustrated. (literal)

Editore

• EUROPEAN GEOSCIENCES UNION, (Editore)

Prodotto di

• Institute of atmospheric sciences and climate (ISAC) (Istituto)
• Terra e Ambiente (Dipartimento)

Autore CNR

• VINCENZO LEVIZZANI (Persona)
• DOMENICO CIMINI (Unità di personale interno)

Insieme di parole chiave

• Parole chiave di "Satellite radiometric remote sensing of rainfall fields: multi-sensor retrieval techniques at geostationary scale" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute of atmospheric sciences and climate (ISAC) (Istituto)
• Terra e Ambiente (Dipartimento)

Autore CNR di

• DOMENICO CIMINI (Unità di personale interno)
• VINCENZO LEVIZZANI (Persona)

Editore di

• EUROPEAN GEOSCIENCES UNION, (Editore)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Advances in geosciences (Rivista)

Insieme di parole chiave di

• Parole chiave di "Satellite radiometric remote sensing of rainfall fields: multi-sensor retrieval techniques at geostationary scale" (Insieme di parole chiave)