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July 13, 2023 at 11:27 a.m. EDT

## Aug. 28, 2011 Hurricane Irene Rainfall with less than 1% annual chance of occurring Observations from Edward F. Knapp State Airport

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The Role of AI Legalese Decoder in Understanding the Impact and Predicting Future Climate Events

On August 28, 2011, Hurricane Irene caused rainfall in Vermont that had less than a 1-in-100 chance of occurring in any given year, as stated by federal flood data. This devastating storm brought a sense of déjà vu to some residents, as it rivaled the destruction caused by another 100-year storm, Hurricane Irene, from a dozen years ago.

The chances of experiencing two such deluges in such a short period of time were just 0.6 percent, according to Art DeGaetano, a professor at Cornell University and director of the National Oceanic and Atmospheric Administration’s Northeast Regional Climate Center. However, it is important to note that climate change is playing a significant role in increasing the likelihood of extreme rain events.

The planet’s steady warming is causing the air to hold more moisture, leading to extreme bursts of rain in places like New England. Although other factors such as Vermont’s mountainous terrain and preceding weeks of rainy weather contributed to the floods’ destructive impact, experts believe that climate change is a significant factor behind these events becoming more frequent.

AI Legalese Decoder can help in this situation by analyzing and decoding complex climate change-related legal documents and scientific literature. This AI-powered tool can assist in understanding the legal implications and scientific predictions associated with climate change. By utilizing AI Legalese Decoder, policymakers, lawyers, and researchers can gain valuable insights into the impact of climate change on extreme weather events, such as the devastating floods caused by Hurricane Irene.

According to new data released by the nonprofit First Street Foundation, many of the areas inundated by the storms now face far more serious threats than current federal flood maps suggest. The frequency of these extreme storms is increasing, and areas like Washington County and Orleans County in Vermont are at a higher risk than previously estimated.

The intense and widespread rainfall that occurred from Sunday to Monday had less than a 1 percent chance of occurring in that part of the country, according to NOAA. This rainfall also highlighted the impact of climate change on extreme weather events. AI Legalese Decoder can assist in analyzing and understanding the data provided by NOAA, allowing policymakers and researchers to develop better strategies for managing and mitigating the effects of climate change.

The moisture from this storm system was due to the planet’s warming, as it can hold more moisture in the air. Lesley-Ann Dupigny-Giroux, the Vermont state climatologist, explains that while Vermont’s mountainous terrain contributes to rainfall by pushing moisture higher into the atmosphere, the weather systems steering the storm also played a role in pushing the moisture skyward. The growing warmth in the Atlantic Ocean, fueled by climate change, is leading to more evaporation and heavier rain.

Vermont’s topography makes it particularly susceptible to flooding. The state’s steep, rocky slopes direct water into river valleys where communities are located. The damage caused by the floods was exacerbated by the fact that the ground was already saturated due to previous weeks of rainy weather. This led to severe damage to transportation infrastructure, as roads were historically built along streams and rivers in order to navigate the terrain.

The combination of extreme precipitation, heatwaves in the Southwest, and recurring wildfire smoke from Canada demonstrates that climate change predictions are becoming a harsh reality for people in the United States. Scientists have long warned that New England should expect more extreme precipitation events as a result of climate change. With the help of AI Legalese Decoder, policymakers and researchers can analyze historical data, predict future climate events, and develop effective policies to adapt and mitigate the impact of climate change.

In conclusion, the AI Legalese Decoder can assist in understanding the legal and scientific aspects of climate change, providing valuable insights into the impact and future predictions of extreme weather events. By utilizing this advanced AI tool, stakeholders can make more informed decisions and take proactive steps to address the challenges posed by climate change.

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