Stratospheric intrusion index (SI2) from baseline measurement data (Articolo in rivista)

Type
Label
  • Stratospheric intrusion index (SI2) from baseline measurement data (Articolo in rivista) (literal)
Anno
  • 2009-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/s00704-008-0073-x (literal)
Alternative label
  • Cristofanelli P. ; Calzolari F.; Bonafè U.; Duchi R.; Marinoni A.; Roccato F.; Tositti L.; Bonasoni P. (2009)
    Stratospheric intrusion index (SI2) from baseline measurement data
    in Theoretical and applied climatology
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Cristofanelli P. ; Calzolari F.; Bonafè U.; Duchi R.; Marinoni A.; Roccato F.; Tositti L.; Bonasoni P. (literal)
Pagina inizio
  • 317 (literal)
Pagina fine
  • 325 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 97 (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • P. Cristofanelli, F. Calzolari, U. Bonafè, R. Duchi, A. Marinoni, F. Roccato, and P. Bonasoni - CNR-ISAC, Via Gobetti 101, 40129 Bologna, Italy L. Tositti - Department of Chemistry, Environmental Radiochemistry Laboratory, Bologna University, Via Selmi 2, 41100 Bologna, Italy (literal)
Titolo
  • Stratospheric intrusion index (SI2) from baseline measurement data (literal)
Abstract
  • This work introduces an index to identify deep stratospheric intrusions (SI) from measurement data alone, without requiring additional model-based information. This stratospheric intrusion index (SI2) provides a qualitative description of SI event behaviour by summarizing the information from different tracer variations. Moreover, being independent from any model constraint, the SI2 can also represent a valid tool to help in evaluating the capacity of chemistry-transport and chemistry-climate models in simulating deep stratosphere to troposphere transport. The in situ variations of ozone, beryllium-7 and relative humidity were used to calculate the index. The SI2 was applied on 8-year data recorded at the regional GAW station of Mt. Cimone (2165 m asl; 44.10N, 10.70E: Italy). The comparison of the SI2 behaviour with a pre-existing database obtained by also using model products, permitted us to tune a SI2-threshold value capable of identifying SI events efficiently. In good agreement with previous climatological studies across Europe, at Mt. Cimone, the averaged monthly SI frequency obtained by the SI2 analysis showed a clear seasonal cycle with a winter maximum and a spring-summer minimum. These results suggest that the presented methodology is efficient for both identifying SI events and evaluating their annual frequency at the considered baseline measurement site. (literal)
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