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Using Artificial Intelligence to Predict Natural Disasters

Summary

Artificial Intelligence (AI) is increasingly being utilized in various fields of scientific research, and now scientists are focusing their attention on predicting natural disasters such as massive hurricanes, wildfires, and coastal flooding. Professor Ben Kirtman from the University of Michigan […]

Using Artificial Intelligence to Predict Natural Disasters

Artificial Intelligence (AI) is increasingly being utilized in various fields of scientific research, and now scientists are focusing their attention on predicting natural disasters such as massive hurricanes, wildfires, and coastal flooding. Professor Ben Kirtman from the University of Michigan is leading an AI project supported by three new federal grants totaling over $3 million.

Kirtman and his team plan to use AI as one of the tools to enhance predictive analytics in the field of climate change. The goal of the research is to improve computer models to better reflect the physics that operate in the planetary climate system. One of the focused projects is predicting coastal floods in places like Key Biscayne, with the aim of providing long-term forecasts that go beyond just predicting storm surges and coastal impacts brought by hurricanes.

By 2050, the frequency of floods is expected to more than triple, reaching a national average of at least 85 flood days per year, according to NOAA data. The Northeast, Southeast, and Gulf Coast have experienced the greatest increase in flooding due to high tides. Kirtman wants to more accurately predict such events and see his research transforming weather forecasts.

In addition, scientists will also study predicting forest fires to enable proactive first response actions instead of reactive ones. Forest fire incidents in the United States are on the rise. Between 2011 and 2020, an average of about 7.5 million hectares burned each year. That is twice as much as the ten-year average of 2.7 million hectares between 1983 and 1992.

Furthermore, the research will focus on the El Niño phenomenon. The goal is to improve the prediction of the intensity of El Niño events and better understand its impact on weather and the migration of marine life. Currently, there are several global climate models, and Kirtman plans to apply machine learning, specifically AI, to create a better forecast.

These new research endeavors provide hope for enhancing our foundations for predicting natural disasters, so that local communities can prepare for potential hazards and minimize damage. In the future, AI could play a pivotal role in protecting our planet from disasters promoted by climate change.

FAQ:

1. What is Artificial Intelligence?
Artificial Intelligence is a branch of computer science that deals with creating computer systems capable of performing tasks that typically require human intelligence. These systems are capable of learning, reasoning, problem-solving, and pattern recognition.

2. What is El Niño?
El Niño is a weather phenomenon that occurs in the tropical Pacific region. It is characterized by an increased temperature of the surface water in this region, which can cause changes in global weather patterns, including a decrease in the number of hurricanes and impact on marine life.

3. How will Artificial Intelligence help in predicting natural disasters?
Artificial Intelligence will enable better prediction of natural disasters through the analysis of large amounts of data and the identification of patterns and trends. This will aid in the implementation of more effective protection and rescue measures, as well as in planning and adapting to climate change.

Source: www.nauka.rs