Program based on AI could help predict weather change
A group of scientists from South Korea work on a program that helps predict the occurrence of weather phenomena based on artificial intelligence and thus promote the safety of people
Scientists and researchers around the world have focused on developing technological tools that help prevent natural disasters or weather events. It is a complex task, given that climate change advances and influences previous patterns that allowed some predictions to be made about when, for example, the “El Niño” phenomenon would occur.
In this particular case, a group of scientists from South Korea seek to optimize predictive systems that allow data to be collected quickly and efficiently. The objective is to help the populations that suffer the effects of this phenomenon that causes material and human losses every year.
“To prevent this from happening, Yoo-Geun Ham, Jeong-Hwan Kim & Jing-Jia Luo from South Korea took on the mission of studying the prediction characteristics of this phenomenon and how to improve it” supported by Artificial Intelligence for development of the Convolutional Neural Network (CNN).
The network has been conceived by the three academics so that they can “learn” automatically and process pixel data based on the images of the weather phenomenon. It is the application of advanced algorithms and machine learning at a faster speed to recognize the phenomenon “El Niño” through effective simulations.
Thanks to the greater amount of data collected, AI can create credible patterns to face climate change and save lives. The scientists conducted CNN proficiency tests by uploading “El Niño” records between 1984 and 2018, with highly successful results. In fact, the efficiency was 76%, an encouraging fact in terms of predictive programs.
It is estimated that thanks to the CNN AI, scientists will be able to have information regarding the occurrence of the “El Niño” phenomenon 18 months in advance. The data would be related not only to the date of occurrence of the event but also to the temperature of the ocean, its depth, location of the highest heat point, among others.
M.Pino
Source: Tekcrispy
