The focus will be: “Where have all the US landfalling hurricanes gone?”
New research on coastal sediments, funded in part by BIOS’s Risk Prediction Initiative, shows that prehistoric hurricanes along the northern East Coast of the United States were likely more frequent and intense than those that have hit within recorded history.
AIR Worldwide recently joins The Risk Prediction Initiative 2.0 (RPI2.0).
Dr Mark Guishard, Program Manager of RPI2.0, is to join the panellists at a roundtable discussion about lessons learnt from last month’s storms.
An oceanographer is deploying an undersea glider to take measurements during the Category 3 storm, which is expected to hit Bermuda. Hopefully, the rare underwater perspective will yield insights that can be used to develop forecasting models.
An underwater glider will examine the impact of hurricanes on our ocean.
While most items are being tied down in Bermuda this week as Hurricane Gonzalo takes aim at the island, a yellow undersea glider named “Anna” will swim straight into the storm.
Scientists and insurance industry experts will come together to discuss the issue of flood risk at a seminar hosted by BIOS and BII.
A former BIOS scientist and current trustee aims to link the academic world and Island business to better predict disasters.
The Montpelier Re Foundation has awarded scholarships worth a combined $15,000 to two Bermudian students, including Meteorology student Michael Cavin Johnston, intern with the Risk Prediction Initiative at BIOS.
BIOS adds to research fleet capabilities with new glider
The Bermuda Insurance Institute (BII) and the Risk Prediction Initiative (RPI) at BIOS will be collaborating to provide a day and a half seminar focused on Catastrophe Risk.
RPI2.0 this week announced the third round of its Seasonal US Hurricane Landfall Forecasting competition, citing the potential predictive skill of ‘crowd-intelligence’.
The Risk Prediction Initiative (RPI2.0) recently welcomed Dr. Mark Guishard as its new Science Program Manager.
In a nod to the value of crowdsourcing as an effective forecasting method, the Risk Prediction Initiative (RPI2.0) announces the start of its seasonal forecast competition, in which participants can win up to $5000.