In less than seven years, the province has experienced several emergency weather events resulting in damage and the initiation of emergency services and, in many cases, a Disaster Financial Assistance (DFA) program. These disasters include:
- December 2010: Charlotte and York Counties experienced major flooding due to heavy rain, resulting in $13.8 million in damages.
- December 2010: Two storm surges impacted the east and northeast coasts of the province. The first caused $1.7 million in damage due to high winds, high tides and waves. The second, caused over $1.3 million in damage. Heavy surf affected the eastern seaboard of the province resulting in damaged homes, washed-out roads and power outages.
- December 2013: A Christmas-time ice storm pelted the southern area of the province with 24 to 36 hours of snow and freezing rain. The storm led to power outages to more than 80,000 NB Power customers
- July 2014: Hurricane Arthur passed over New Brunswick as a post tropical storm with heavy rain and winds that gusted as high as 100 km/hour. The storm caused road closures, infrastructure damage, washouts, localized flooding and fallen trees across the province. Total damages were estimated at $12.5 million.
- December 2014: A Nor’easter bringing heavy snow and rain across several regions caused $10.3 million in damage. Fifty-six roads across the province were impacted by flooding, washout or water over the road.
- January 2017: A snow and freezing rain storm moved across the Province, impacting a large area of the province
These recent events clearly indicate that climate change has been and will continue to impact the Acadian peninsula in the form of extreme weather, including more extreme precipitation events, more rain in place of snow, more and longer heat waves and storm surges. The Province recognizes the importance of understanding the causes, frequency, severity and consequences of climate change in order to safeguard infrastructure, livelihoods, and natural resources. And as such, the Province has committed to strengthening its research, data collection, and modelling capacity in order to better support decision-making.