Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Mauro Boccolari"'
Autor:
Mauro Boccolari, Flavio Parmiggiani
Publikováno v:
European Journal of Remote Sensing, Vol 50, Iss 1, Pp 377-383 (2017)
This study presents a comparison of the sea-ice cover of the whole Arctic Ocean with two arctic sectors of different morphology: the Greenland Sea, as a typical “open sea”, and the Beaufort Sea, as a typical “closed sea”. The study refers to
Externí odkaz:
https://doaj.org/article/1aa85b9c2cdc41a8bf1807c41da953d3
Autor:
Mauro Boccolari, Mario Mussi, Alessandro Corsini, Manuela Deiana, M. Pennisi, Francesco Ronchetti
Publikováno v:
Environmental earth sciences
79 (2020): 1–15. doi:10.1007/s12665-019-8772-4
info:cnr-pdr/source/autori:Deiana M.[1], Mussi M.[2], Pennisi M.[2], Boccolari M.[1], Corsini A.[1], Ronchetti F.[1]/titolo:Contribution of water geochemistry and isotopes (delta18O, delta2 H, 3 H, 87Sr%2F86Sr and delta11B) to the study of groundwater fow properties and underlying bedrock structures of a deep landslide/doi:10.1007%2Fs12665-019-8772-4/rivista:Environmental earth sciences (Print)/anno:2020/pagina_da:1/pagina_a:15/intervallo_pagine:1–15/volume:79
79 (2020): 1–15. doi:10.1007/s12665-019-8772-4
info:cnr-pdr/source/autori:Deiana M.[1], Mussi M.[2], Pennisi M.[2], Boccolari M.[1], Corsini A.[1], Ronchetti F.[1]/titolo:Contribution of water geochemistry and isotopes (delta18O, delta2 H, 3 H, 87Sr%2F86Sr and delta11B) to the study of groundwater fow properties and underlying bedrock structures of a deep landslide/doi:10.1007%2Fs12665-019-8772-4/rivista:Environmental earth sciences (Print)/anno:2020/pagina_da:1/pagina_a:15/intervallo_pagine:1–15/volume:79
A comprehensive understanding of bedrock lithology and groundwater circulation is necessary to identify areas prone to landslide initiation and reactivation. This necessity is particularly required in the case of outcroppings of weak rocks such as gy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0d6614654b4185b9d6c3a6d4a11222e
https://www.springer.com/journal/12665
https://www.springer.com/journal/12665
Autor:
Mauro Boccolari, Flavio Parmiggiani
Publikováno v:
Theoretical and Applied Climatology. 132:739-749
Climatology, trends and variability of cloud fraction cover (CFC) data over the Arctic (north of 70°N), were analysed over the 1982–2009 period. Data, available from the Climate Monitoring Satellite Application Facility (CM SAF), are derived from
Publikováno v:
Advancing Culture of Living with Landslides ISBN: 9783319534862
We installed a microseismic monitoring network on a 300 m high unstable rock face threatening the city of Lecco, in Northern Italy. The network is active since February 2013 and consists of 5 electromagnetic velocimeters, two of which are deployed in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::920595f5be0368b39da021d24dddcc36
http://hdl.handle.net/11311/1044982
http://hdl.handle.net/11311/1044982
Autor:
Mauro Boccolari, Simona Malmusi
Publikováno v:
Atmospheric Research. 122:16-31
Climate changes has become one of the most analysed subjects from researchers community, mainly because of the numerous extreme events that hit the globe. To have a better view of climate changes and trends, long observations time series are needed.
Autor:
Mauro Boccolari, Flavio Parmiggiani
Publikováno v:
Advances in Science and Research, Vol 14, Pp 139-143 (2017)
Trends and variability of the Arctic sea ice extent depend on various physical processes, including those related to changes in radiative fluxes, which are associated with cloudiness and water vapour and, in turn, with the atmospheric moisture transp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42b1f40d5271efb84b79a04f077dd095
https://hdl.handle.net/11380/1182615
https://hdl.handle.net/11380/1182615
Autor:
Simona Malmusi, Mauro Boccolari
Publikováno v:
Atmospheric Research. 95:8-18
The aim of this work is the estimation and the analysis of precipitable water in the middle-upper troposphere (850 hPa–300 hPa), obtained through Meteosat-8/-9 tropospheric humidity products, together with air temperature data, from NCEP/NCAR daily
Autor:
Flavio Parmiggiani, Mauro Boccolari
Publikováno v:
SPIE 9638, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2015, Toulouse, France, September 21, 2015
info:cnr-pdr/source/autori:Mauro Boccolari ; Flavio Parmiggiani/congresso_nome:SPIE 9638, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2015/congresso_luogo:Toulouse, France/congresso_data:September 21, 2015/anno:2015/pagina_da:/pagina_a:/intervallo_pagine
info:cnr-pdr/source/autori:Mauro Boccolari ; Flavio Parmiggiani/congresso_nome:SPIE 9638, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2015/congresso_luogo:Toulouse, France/congresso_data:September 21, 2015/anno:2015/pagina_da:/pagina_a:/intervallo_pagine
The measure of sea ice surface variability provides a fundamental information on the climatology of the Arctic region. Sea ice extension is conventionally measured by two parameters, i.e. Sea Ice Extent (SIE) and Sea Ice Area (SIA), both parameters b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5cd24b0f28fdf68fd9a04594ad9bb39
Publikováno v:
SPIE Conf. Remote Sensing of Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2014, Amsterdam, Sep. 2014
info:cnr-pdr/source/autori:M. Boccolari, L. Guerrieri and F. Parmiggiani/congresso_nome:SPIE Conf. Remote Sensing of Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2014/congresso_luogo:Amsterdam/congresso_data:Sep. 2014/anno:2014/pagina_da:/pagina_a:/intervallo_pagine
info:cnr-pdr/source/autori:M. Boccolari, L. Guerrieri and F. Parmiggiani/congresso_nome:SPIE Conf. Remote Sensing of Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2014/congresso_luogo:Amsterdam/congresso_data:Sep. 2014/anno:2014/pagina_da:/pagina_a:/intervallo_pagine
This study presents an analysis of the sea-ice area time series for the East Greenland Sea for the period January 2003 – December 2013. The data used are a subset of the Arctic Sea Ice Concentration data set derived from the observations of the pas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab351962384e5a129fc4f9fdf3e24772
https://publications.cnr.it/doc/286573
https://publications.cnr.it/doc/286573