Natural disasters, whether floods, land sliding, or tsunamis, know no time and date. They often come uninvited, and inhabitants fall victim to living in these areas. For years, Google and AI have stood like a hard rock wall and devised several evaluations to cater to the collective situation.
Previously, Google and AI models were restricted to fewer countries and people. But now they have expanded the forecasting system and are ready to cope with the problem. The enhanced AI-based model also ensures that people remain safe when alerts are issued.
Google and AI-based Flood Forecasting System
Recently, Google, with Artificial Intelligence, has stretched its AI-driven flood forecasting system. The objective is to forecast flood predictions in over 100 countries and to aid 700 million people globally. It would be best to note that it was restricted to 80 countries and 560 million people before the dilation.
The progress will also help the AI model obtain accurate flood information and riverine flood warnings to protect people from displacement, unending casualties, and financial losses. The valid jump from 560 to 700 million people will act as an opportunity to help those communities housing in the areas prone to excessive and massive floods.
Browse Other Posts: YouTube Releases A New Feature to Remix Songs by AI Prompt
Google Broadens the Flood Forecasting Model: Reasons
It is not new that Google has been involved in flood forecasting systems. Then, why is the sudden expansion? How will AI carry on the process more efficiently than before? Well, it is a question everyone asks, whether from the researchers or with each other. Google broadened the flood forecasting system because of advancements in artificial intelligence and several forecasting models.
What’s New About the AI-driven forecasting model? Upgradation
The new or upgraded flood forecasting model introduces the frontier forecasting model, new architecture, and new API, which improve imminent predictions error-free. The enhanced system will forecast potential floods up to seven days in advance, allowing communities to prepare sooner.
It will enable Google to get its hands on extensive data and extract precise information. Additionally, there is a chance that predictions will come seven days before to notify people about their safety. Overall, the system lets the researchers access the data through two mediums:
- Google Runoff Reanalysis & Reforecast (GRRR) datasets
- Application Programming Interface (API) for simplified data access
Additionally, Google’s Flood Hub has also increased virtual gauges to up to 250,000 to help determine flood-related risks. However, the model only shows predictions for that area with a recorded history.
Read More: OpenAI and Others are Looking for a New Way to Make AI Smarter
Google’s Amplified Flood Forecasting Model: Benefits
Google is a tech giant, and its decision to expand an AI-based flood forecasting model will bring benefits, which many researchers are hopeful. Some of the prominent ones are:
- Help public officials and organizations make plans and strategies once the prediction arrives
- Reduce infrastructure loss and secure people’s lives.
- The efforts for climate crisis management will improve.