Preliminary Meteorological Results of a Four-Dimensional Data Assimilation Technique in Southern Italy (Articolo in rivista)

Type
Label
  • Preliminary Meteorological Results of a Four-Dimensional Data Assimilation Technique in Southern Italy (Articolo in rivista) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.4236/acs.2011.13015 (literal)
Alternative label
  • Avolio E. (1), S. Federico (1), A.M Sempreviva (1), C.R Calidonna (1), L. De Leo (2), C Bellecci (3) (2011)
    Preliminary Meteorological Results of a Four-Dimensional Data Assimilation Technique in Southern Italy
    in Atmospheric and climate science (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Avolio E. (1), S. Federico (1), A.M Sempreviva (1), C.R Calidonna (1), L. De Leo (2), C Bellecci (3) (literal)
Pagina inizio
  • 134 (literal)
Pagina fine
  • 141 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 1 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • (1) CNR-ISAC U.O.S. Lamezia Terme (literal)
Titolo
  • Preliminary Meteorological Results of a Four-Dimensional Data Assimilation Technique in Southern Italy (literal)
Abstract
  • A four-dimensional data assimilation (FDDA) scheme based on a Newtonian relaxation (or “nudging”) was tested using observational asynoptic data collected at a coastal site in the Central Mediterranean peninsula of Calabria, southern Italy. The study is referred to an experimental campaign carried out in summer 2008. For this period a wind profiler, a sodar and two surface meteorological stations were considered. The collected measurements were used for the FDDA scheme, and the technique was incorporated into a tailored version of the Regional Atmospheric Modeling System (RAMS). All instruments are installed and operated routinely at the experimental field of the CRATI-ISAC/CNR located at 600 m from the Tyrrhenian coastline. Several simulations were performed, and the results show that the assimilation of wind and/or temperature data, both throughout the simulation time (continuous FDDA) and for a 12 h time window (forecasting configuration), produces improvements of the model performance. Considering a whole single day, improvements are sub-stantial in the case of continuous FDDA while they are smaller in the case of forecasting configuration. En-hancements, during the first six hours of each run, are generally higher. The resulting meteorological fields are finalised as input into air quality and agro-meteorological models, for short-term predictions of renew-able energy production forecast, and for atmospheric model initialization. (literal)
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