Stratospheric intrusion index (SI2) from baseline measurement data

Autor: Paolo Bonasoni, A. Marinoni, Francescopiero Calzolari, Paolo Cristofanelli, U. Bonafè, Laura Tositti, R. Duchi, F. Roccato
Přispěvatelé: Paolo Cristofanelli, F. Calzolari, U. Bonafè, R. Duchi, A. Marinoni, F. Roccato, Laura Tositti, Paolo Bonasoni
Rok vydání: 2008
Předmět:
Zdroj: Theoretical and applied climatology 97 (2009): 317–325. doi:10.1007/s00704-008-0073-x
info:cnr-pdr/source/autori:Cristofanelli P. ; Calzolari F.; Bonafè U.; Duchi R.; Marinoni A.; Roccato F.; Tositti L.; Bonasoni P./titolo:Stratospheric intrusion index (SI2) from baseline measurement data/doi:10.1007%2Fs00704-008-0073-x/rivista:Theoretical and applied climatology/anno:2009/pagina_da:317/pagina_a:325/intervallo_pagine:317–325/volume:97
ISSN: 1434-4483
0177-798X
DOI: 10.1007/s00704-008-0073-x
Popis: 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.
Databáze: OpenAIRE
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