Can AI produce rain and regulate the weather? Here are the opinions of specialists in Abu Dhabi: In the future, would artificial intelligence be involved in regulating rainfall, causing fundamental shifts in weather patterns, and controlling the climate? Experts in meteorology confirm that AI algorithms and cutting-edge technologies enable them to analyze large amounts of weather data in real time, allowing for more precise predictions of the best times and locations for cloud seeding.
Experts discussed how AI may be used to improve cloud seeding operations and weather prediction at the most recent Weather Summit in Abu Dhabi. In addition to highlighting the importance of human skills in evaluating results and ensuring they are implemented in the appropriate practical context, panel discussions also addressed the implications of incorporating artificial intelligence and machine learning into operational meteorology systems. The need of upholding trust and guaranteeing fair and inclusive access to weather services for all communities were also covered in the sessions.
Using satellites and AI to forecast the weather The talks looked at AI-powered Earth-system forecasting using a variety of high-quality datasets, from satellite imaging and field weather observations to IoT devices and geospatial data. Assuring data quality, interoperability, and accessibility, the conversations also looked at how data requirements have changed over time and the infrastructure required to create and evaluate models.
Important issues were brought up on how to ensure that AI and machine learning technologies carry out the appropriate activities for the appropriate purposes and how to confirm their accuracy and dependability. The impact of varying public and private sector mandates, incentives, and innovation cultures on openness, transparency, and international scientific cooperation was another topic covered by the experts.
Challenges of climate change for contemporary technologies Dr. Abdulla Al Mandous, the director of the National Center of Meteorology and president of the World Meteorological Organization, told reporters during the summit: “Weather forecasting has advanced significantly over the last century, from conventional observation techniques to complex numerical models driven by supercomputing, satellites, and artificial intelligence algorithms.” Al Mandous underlined during the international conference “Weather Forecasting: Progress, Challenges, and Future Outlook” that although these developments have significantly increased forecast accuracy, there are still major obstacles to overcome because of climate change, the increasing frequency of extreme weather events, and a lack of data in many developing nations.
Artificial Intelligence: A Potential Solution Al Mandous added that artificial intelligence presents a previously unheard-of chance to quicken developments in this area. More accurate local forecasts and customized services that support disaster relief, aviation, agriculture, and other vital industries can be provided by combining artificial intelligence with physical models. Closing data gaps and increasing benefits can also be achieved by utilizing big data, sensors, and the Internet of Things.
He emphasized the importance of the gathering, which included academics from prestigious universities like the University of Chicago in the United States, Khalifa University, Abu Dhabi Polytechnic, Mohamed bin Zayed University of Artificial Intelligence, and the European Centre for Medium-Range Weather Forecasts, as well as top representatives from the World Meteorological Organization, the UN Office for Disaster Risk Reduction, and EUMETSAT.
Leaders from major academic institutes, the corporate sector, national meteorological and hydrological services, and multinational IT behemoths like Google, Microsoft, and NVIDIA were also present at the event.
