High resolution climate precipitation analysis for north-central Italy, 1961–2015

Autor: Chiara De Luigi, Rodica Tomozeiu, Fabio Brunier, Luca Onorato, Renata Pelosini, Gianni Marigo, Enzo Di Carlo, Umberto Pellegrini, C. Cacciamani, Stefano Micheletti, Christian Ronchi, Marco Francioni, Sara M. Ratto, Luca Maraldo, Roberto Barbiero, Marco Stelluti, Luca Rusca, Anselmo Cagnati, Gabriele Antolini, Nicola Berni, Tommaso Torrigiani Malaspina, David Piccinini, Stefano Sofia, Elvio Panettieri, Orietta Cazzuli, Andrea Cicogna, V. Pavan

Publikováno v: Climate Dynamics. 52:3435-3453

Observational daily precipitation data from a group of 1762 stations over north-central Italy and adjacent areas are used to produce a high resolution daily gridded precipitation analysis covering the period from 1961 to 2015. Input data are checked

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9edd88136a5df178818bc82fb6c1dc97
https://doi.org/10.1007/s00382-018-4337-6

Gestione delle variazioni dell’assetto idrogeologico indotte dalla sequenza sismica del 2016 nell’area nursina e dei Monti Sibillini

Autor: Valigi, Daniela, Francesca, Banzato, Beddini, Giulio, Cambi, Costanza, Cardellini, Carlo, Roberto, Checcucci, DE GIORGI, Francesco, Mirabella, Francesco, Barbara, Toccaceli, Marco, Stelluti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3982::6504c424552ad1902f52c02446a26086
http://hdl.handle.net/11391/1492530

Preliminary analysis of distributed in situ soil moisture measurements

Autor: M. Galli, Marco Stelluti, Luca Brocca

Publikováno v: Advances in Geosciences, Vol 2, Pp 81-86 (2005)
2 (2005): 81–86.
info:cnr-pdr/source/autori:Brocca L., Galli M., Stelluti M./titolo:Preliminary analysis of distributed in situ soil moisture measurements./doi:/rivista:/anno:2005/pagina_da:81/pagina_a:86/intervallo_pagine:81–86/volume:2
Scopus-Elsevier

Surface soil moisture content is highly variable in both space and time. Remote sensing can provide an effective methodology for mapping surface moisture content over large areas but ground based measurements are required to test its reliability and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e3a852fb44755a981e6eb0ee34af0c9
http://www.adv-geosci.net/2/81/2005/adgeo-2-81-2005.pdf

Landwarn: An operative early warning system for landslides forecasting based on rainfall thresholds and soil moisture

Autor: Nicola Berni, Luca Brocca, Renato Zauri, Claudia Pandolfo, Tommaso Moramarco, Marco Stelluti, Claudio Tamagnini, Diana Salciarini, F. Ponziani

Publikováno v: Landslide Science and Practice, edited by C. Margottini et al., pp. 627–634. Berlin: Springer-Verlag, 2013
info:cnr-pdr/source/autori:Ponziani F., Berni N., Stelluti M., Zauri R., Brocca L., Moramarco T., Salciarini D. and Tamagnini C./titolo:Landwarn: an operative early warning system for landslides forecasting based on rainfall thresholds and soil moisture/titolo_volume:Landslide Science and Practice/curatori_volume:C. Margottini et al./editore: /anno:2013
Landslide Science and Practice ISBN: 9783642314445

The Umbria Region is one of the Italian areas that are most prone to landslides and floods. For early-warning procedures aimed at the reduction of the hydrogeological risk, the rainfall thresholds represent the main component of the Italian Civil Pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce7906b7cfffa6b07e56c4d44fb065e5
http://hdl.handle.net/11391/1408184