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    The project-weather climate and hydrological indicators Istat

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    The present paper illustrates the National Institute of Statistics (Istat) research project entitled "Meteo-climatic and hydrologic indicators" carried out in 2008. Since 1926, Istat disseminates meteorological data collected from gauging stations located over the whole Italian territory. The aims of this project (included in the National Statistical Program 2008-2010 and conducted with the partnership of Cra-Cma) are to implement a geographic data-warehouse with meteorological and hydrological daily values measured since 1951 from the stations of both national (i.e. Mipaaf, Smam, Apat) and regional (e.g. rural development agencies, research institutes) services. Based on the results of statistical data collecting, checking and imputation of lacking values, the data-warehouse will allow to estimate the main climate variables at high spatial resolution. Finally, a set of indicators regarding the interaction of climate with biological, agronomic, pedological and hydrological themes will be estimated, through down-scaling approaches, at administrative spatial scales (e.g. municipalities, local labour systems, agricultural homogeneous regions) in order to achieve integration with other statistical (e.g. socio-economic) variables obtained at that scale

    Agro-climatic analysis and integration with different data sources: A case study in Italy

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    The aim of this paper is to illustrate an empirical application from the project "Meteo-climatic and hydrological indicators" carried out by Istat on the behalf of the National Statistical Programme in collaboration with Cra-Cma. Istat is actually setting up a climatic data-warehouse containing data (1951-2000) from more than 4,000 meteorological stations covering the whole Italian territory. The present study presents an agro-climatic example of the regionalisation of statistical indicators at the regional (i.e. Nuts-2) level (Latium, central Italy). From elementary data of daily rainfall and temperature measured by gauging stations of the national (i.e. ex Simn, Smam, Mipaf-Ucea) and regional (i.e. Arsial) meteorological services the average annual rainfall rate and mean annual reference evapotranspiration were derived referring to two standard periods (i.e. 1951-70 and 1981-2000). The standard aridity index (following Unep) was estimated from the ratio between the two variables. Latium municipalities were classified based on the climate aridity classification. Worsening dryness conditions were clearly observed along the coastal rim and in the neighbour, rural lowlands belonging to the provinces of Rome and Viterbo. The empirical application highlights the importance to integrate agro-climatic and other agro-environmental indicators with socio-economic information collected from statistical (e.g. national censuses) sources. Further applications at local, regional, and national scales were finally discussed
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