The use of Web technologies for the collection and visualization of geoscentific data has significantly increased the availability of free sensor data over the Internet. Our work aimed at the designing of a Web mashup for the aggregation of meteorological variables (precipitation, humidity, pressure, etc.) published on the Web by several weather networks and the rendering of query results through a graphic interface in an homogeneous way. The mashup approach is particularly suitable to provide an easy to develop and fast to deploy application capable to support HM scientists in their everyday activity. As a significant case study of the adoption of our tool, we considered the severe flash-flood event occurred on Fall 2011 over Liguria region, Italy. To this end, we based our analysis on the aggregated rainfall data observed by an official and a personal weather networks.
Mashing-up weather networks data to support Hydro-Meteorological research
T Bedrina;A Clematis;A Quarati
2012
Abstract
The use of Web technologies for the collection and visualization of geoscentific data has significantly increased the availability of free sensor data over the Internet. Our work aimed at the designing of a Web mashup for the aggregation of meteorological variables (precipitation, humidity, pressure, etc.) published on the Web by several weather networks and the rendering of query results through a graphic interface in an homogeneous way. The mashup approach is particularly suitable to provide an easy to develop and fast to deploy application capable to support HM scientists in their everyday activity. As a significant case study of the adoption of our tool, we considered the severe flash-flood event occurred on Fall 2011 over Liguria region, Italy. To this end, we based our analysis on the aggregated rainfall data observed by an official and a personal weather networks.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
