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A new radar system in Galway Bay could help predict extreme weather events more accurately, The Irish Times reports.
Scientists at NUI Galway's Ryan Institute, in collaboration with the IBM Smarter Cities Technology Centre in Dublin, have installed the system on the shoreline in Galway Bay.
The system - the first of its kind in North Atlantic Europe - consists of two antennae, on Mutton Island and Spiddal, which scan the surface of the bay every half hour.
It then sends high-resolutions maps of surface currents and details of wave height and direction directly to the scientists' base at the NUIG campus.
The data is used, along with meteorological data, to develop models for forecasing marine conditions from tidal currents to storm surges - common on the challenging coastline around Galway Bay and the Aran Islands.
Moreover, the system is set to benefit the local community and beyond as the data, when completed, will be made freely available.
Silicon Republic says that the Galway Bay Coastal Observing System (GalCOS) could be used by sailors, fishermen and tourists to more accurately assess conditions in the area.
It could also be of use to local authorities in terms of providing details on the best time to release effluent while minimising environmental damage.
“This type of predictive modelling is critical to our Smarter Cities agenda," said IBM's Dr Lisa Amini, "and the findings can be widely applied to protect coastal cities and their environments."

A new radar system in Galway could help predict extreme weather events more accurately, The Irish Times reports.

Scientists at NUI Galway's Ryan Institute, in collaboration with the IBM Smarter Cities Technology Centre in Dublin, have installed the system on the shoreline in Galway Bay.

The system - the first of its kind in North Atlantic Europe - consists of two antennae, on Mutton Island and Spiddal, which scan the surface of the bay every half hour.

It then sends high-resolutions maps of surface currents and details of wave height and direction directly to the scientists' base at the NUIG campus.

The data is used, along with meteorological data, to develop models for forecasing marine conditions from tidal currents to storm surges - common on the challenging coastline around Galway Bay and the Aran Islands.

Moreover, the system is set to benefit the local community and beyond as the data, when completed, will be made freely available.

Silicon Republic says that the Galway Bay Coastal Observing System (GalCOS) could be used by sailors, fishermen and tourists to more accurately assess conditions in the area.

It could also be of use to local authorities in terms of providing details on the best time to release effluent while minimising environmental damage.

“This type of predictive modelling is critical to our Smarter Cities agenda," said IBM's Dr Lisa Amini, "and the findings can be widely applied to protect coastal cities and their environments."

Published in Coastal Notes

About The Route du Rhum – Destination Guadeloupe

Created in 1978 by Michel Etevenon, La Route du Rhum-Destination Guadeloupe is regarded as the queen of solo transatlantic races.

For 44 years, the race has joined Saint-Malo in Brittany to Pointe-à-Pitre in Guadeloupe. It musters the biggest fleet ocean racing fleet of all levels on the same starting line. This transatlantic course at a total distance of 3,542 miles has become legendary as its unique magic is all about the range of different classes and the mix of competitors.

Some of the best solo racers in the world of sailing, professionals and amateurs, meet every four years to taste "the magic of the Rhum".

On November 6 2022, this legendary race will set off once again, taking on the Atlantic whilst appealing to a broad mass of public fans and followers. They are offered the chance to dream, to escape and share the wonder with the solo racers who are all ready to go to sea and challenge the Autumn Atlantic.

At A Glance - Route du Rhum 2022 start date

La Route du Rhum – Destination Guadeloupe 2022 starts on November 6 off Saint-Malo, France

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