http://www.cnr.it/ontology/cnr/individuo/prodotto/ID190659
ICT approaches to integrating institutional and non-institutional data services for better understanding of hydro-meteorological phenomena (Articolo in rivista)
- Type
- Label
- ICT approaches to integrating institutional and non-institutional data services for better understanding of hydro-meteorological phenomena (Articolo in rivista) (literal)
- Anno
- 2012-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.5194/nhess-12-1961-2012 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- T. Bedrina; A. Parodi; A. Quarati; A. Clematis (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
- Note
- Google Scholar (literal)
- ISI Web of Science (WOS) (literal)
- Scopus (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- CIMA Research Foundation, Savona, Italy
Institute of Applied Mathematics and Information Technology - National Research Council, Genoa, Italy (literal)
- Titolo
- ICT approaches to integrating institutional and non-institutional data services for better understanding of hydro-meteorological phenomena (literal)
- Abstract
- It is widely recognised that an effective exploitation
of Information and Communication Technologies (ICT)
is an enabling factor to achieve major advancements in
Hydro-Meteorological Research (HMR). Recently, a lot of
attention has been devoted to the use of ICT in HMR activities,
e.g., in order to facilitate data exchange and integration,
to improve computational capabilities and consequently
model resolution and quality. Nowadays, ICT technologies
have demonstrated that it is possible to extend monitoring
networks by integrating sensors and other sources of data
managed by volunteer's communities. These networks are
constituted by peers that span a wide portion of the territory
in many countries. The peers are \"location aware\" in
the sense that they provide information strictly related with
their geospatial location. The coverage of these networks, in
general, is not uniform and the location of peers may follow
random distribution. The ICT features used to set up the network
are lightweight and user friendly, thus, permitting the
peers to join the network without the necessity of specialised
ICT knowledge. In this perspective it is of increasing interest
for HMR activities to elaborate of Personal Weather Station
(PWS) networks, capable to provide almost real-time,
location aware, weather data.
Moreover, different big players of the web arena are now
providing world-wide backbones, suitable to present on detailed
map location aware information, obtained by mashing
up data from different sources. This is the case, for example,
with Google Earth and Google Maps.
This paper presents the design of a mashup application
aimed at aggregating, refining and visualizing near real-time
hydro-meteorological datasets. In particular, we focused on
the integration of instant precipitation depths, registered either
by widespread semi-professional weather stations and
official ones. This sort of information has high importance
and usefulness in decision support systems and Civil Protection
applications. As a significant case study, we analysed the
rainfall data observed during the severe flash-flood event of
4 November 2011 over Liguria region, Italy. The joint use of
official observation network with PWS networks and meteorological
radar allowed for the making of evident finger-like
convection structure. (literal)
- Editore
- Prodotto di
- Autore CNR
Incoming links:
- Autore CNR di
- Prodotto
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi
- Editore di
