An updated picture of the glacial resource in the Italian Alps is being realized through the acquisition of the most up to date available information on glaciers taking into account the existing international standards. In particular, the project aims to: i) make available to the scientific community and disseminate to all stakeholders multi-temporal data on the Italian glacial resource, by developing and populating a knowledge management system of validated glaciological data; ii) quantify glacial parameters, for specific time periods, needed by quantitative models aimed to simulate the response of glacial bodies to changing climatic scenarios; iii) reconstruct the recent (last 100 years) spatial-temporal evolution of the Italian glaciers, as terrestrial indicators of climate fluctuations, in consideration of the extreme sensitiveness of glacial bodies to climatic parameters. A dedicated system is under construction for the management of these data, in line with the requirements of NextData Portal, and in agreement with the GeoNetwork architecture – like that of the SHARE Project. The project also aims to update and make easily available to the scientific community and to the stakeholders multitemporal data on the Italian glacial resource, through an integrated information management system made for this purpose. The system will represent a validated and reliable information base for quantitative modeling of glaciers response to climatic forcing. It will be a valuable tool for further research projects on glacial/periglacial environments. Promotion of a free, distributed use of information on Italian glaciers, to be implemented within the NextData project, but also updatable in the future, will represent a breakthrough in the availability of glaciological data from the Italian Alps and will also satisfy the rising demand of open source availability of environmental data in the mountain regions.
DATAGRALP – A new database for reconstructing the spatial-temporal evolution of the glacial resource in the Italian Alps over the last 100 years in the framework of the NextData Project
GIARDINO, Marco;PEROTTI, Luigi;VIANI, CRISTINA;
2014-01-01
Abstract
An updated picture of the glacial resource in the Italian Alps is being realized through the acquisition of the most up to date available information on glaciers taking into account the existing international standards. In particular, the project aims to: i) make available to the scientific community and disseminate to all stakeholders multi-temporal data on the Italian glacial resource, by developing and populating a knowledge management system of validated glaciological data; ii) quantify glacial parameters, for specific time periods, needed by quantitative models aimed to simulate the response of glacial bodies to changing climatic scenarios; iii) reconstruct the recent (last 100 years) spatial-temporal evolution of the Italian glaciers, as terrestrial indicators of climate fluctuations, in consideration of the extreme sensitiveness of glacial bodies to climatic parameters. A dedicated system is under construction for the management of these data, in line with the requirements of NextData Portal, and in agreement with the GeoNetwork architecture – like that of the SHARE Project. The project also aims to update and make easily available to the scientific community and to the stakeholders multitemporal data on the Italian glacial resource, through an integrated information management system made for this purpose. The system will represent a validated and reliable information base for quantitative modeling of glaciers response to climatic forcing. It will be a valuable tool for further research projects on glacial/periglacial environments. Promotion of a free, distributed use of information on Italian glaciers, to be implemented within the NextData project, but also updatable in the future, will represent a breakthrough in the availability of glaciological data from the Italian Alps and will also satisfy the rising demand of open source availability of environmental data in the mountain regions.
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