Analysis of long dry spell series for drought detection and monitoring in Central Italy (Abstract/Poster in convegno)

Type
Label
  • Analysis of long dry spell series for drought detection and monitoring in Central Italy (Abstract/Poster in convegno) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Alternative label
  • Magno R., F. Guarnieri, B. Gozzini , F. Meneguzzo, G. Maracchi, M. Pasqui (2007)
    Analysis of long dry spell series for drought detection and monitoring in Central Italy
    in Workshop on Global Change Research: Edition 2007 – “Climate Change and Desertification: Monitoring, Modelling and Forecasting”, Wengen (Svizzera)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Magno R., F. Guarnieri, B. Gozzini , F. Meneguzzo, G. Maracchi, M. Pasqui (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • The aim of this study is to analyze long time series of rainfall data for evaluating variability, tendencies and intensity of drought events in three different geographical contexts of Tuscany region (coast, hill and mountain) and for analyzing their trends along with Mediterranean SST long term variability. The drought analysis is carried out using daily records from three central Italy rain gauges, covering, respectively, the periods 1945-2005, 1928-2003 and 1930-2005. The first step of our study is to define the dry spells and its characteristics. The rain threshold is computed taking in to account the minimum amount of water needed for the vegetation growth; number and duration of the spells are considered at seasonal and yearly level. Afterward we use the Standardized Precipitation Index (SPI) to quantify the precipitation deficit for multiple time scale (3, 6, 12, 24 months) and, consequently, to assess the effects of a drought event on different water-resources components: soil moisture, streamflow, reservoir storage, groundwater. The standardization of the values permits a comparison between meteorological stations climatically and geographically different. The frequency analysis of the negative values of the SPI classification gives information on the e (literal)
Titolo
  • Analysis of long dry spell series for drought detection and monitoring in Central Italy (literal)
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