Estimation and short-range forecast of the mixing height by means of box and neural-network models using radon data (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• Estimation and short-range forecast of the mixing height by means of box and neural-network models using radon data (Contributo in atti di convegno) (literal)

Anno

• 2002-01-01T00:00:00+01:00 (literal)

Alternative label

• Pasini A., Ameli F., Febo A. (2002)
  Estimation and short-range forecast of the mixing height by means of box and neural-network models using radon data
  in Physical Chemistry 2002, Belgrado
  (literal)

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

• Pasini A., Ameli F., Febo A. (literal)

Pagina inizio

• 607 (literal)

Pagina fine

• 614 (literal)

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

• Once recognised the relevance of radon progeny measurements for an estimation of the diffusive properties of the atmospheric boundary layer, a brief review of recent results and some new developments are presented. They concern the improvement of a box model for the estimation of the mixing height during stability conditions and the application of a neural- network model to a preprocessed time series of radon data for a prediction activity. The final result is a reliable short-range forecast of the mixing height via the joint application of neural-network and box models. (literal)

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

• Once recognised the relevance of radon progeny measurements for an estimation of the diffusive properties of the atmospheric boundary layer, a brief review of recent results and some new developments are presented. They concern the improvement of a box model for the estimation of the mixing height during stability conditions and the application of a neural- network model to a preprocessed time series of radon data for a prediction activity. The final result is a reliable short-range forecast of the mixing height via the joint application of neural-network and box models. (literal)

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

• 1. CNR-IIA 2. UNI ROMA I 3. CNR-IIA (literal)

Titolo

• Estimation and short-range forecast of the mixing height by means of box and neural-network models using radon data (literal)

Prodotto di

• Institute of Atmospheric pollution Research (IIA) (Istituto)

Autore CNR

• ANTONIO PLINIO FEBO (Unità di personale interno)
• ANTONELLO PASINI (Persona)

Insieme di parole chiave

• Keywords of "Estimation and short-range forecast of the mixing height by means of box and neural-network models using radon data" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute of Atmospheric pollution Research (IIA) (Istituto)

Autore CNR di

• ANTONELLO PASINI (Persona)
• ANTONIO PLINIO FEBO (Unità di personale interno)

Insieme di parole chiave di

• Keywords of "Estimation and short-range forecast of the mixing height by means of box and neural-network models using radon data" (Insieme di parole chiave)