Alibaba’s DAMO Academy unveils AI-powered application for nowcasting

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Alibaba Group’s Academy for Discovery, Adventure, Momentum and Outlook (DAMO) has unveiled a cloud-based AI-powered nowcasting platform capable of predicting short-term weather conditions up to six hours in advance.

The Short-term AI Weather Forecasting Platform, now available to Alibaba Cloud’s clients in China, produces high-resolution imagery with 1km grid spacing with updates available every 10 minutes. Capable of tracking rainfall, windspeed as well as severe weather conditions such as thunder and hailstorms, the platform has been designed to deliver time-critical reports to weather-dependent sectors such as agriculture, logistics, transportation and renewable energy.

For farmers, a timely and accurate weather forecast can minimize damage to crops and livestock; couriers can schedule their routes efficiently on rainy days; and photovoltaic power stations can use cloud formation predictions to better prepare their electricity trading plans.

Rong Jin, head of the Machine Intelligence Lab at Alibaba DAMO Academy, said, “Nowcasting has proven a critical technology to help various sectors make informed weather-related decisions. Global technology players are working hard to develop technology-based services that utilize reliable climate data from their respective countries.

“Using our cutting-edge algorithms and cloud technologies, we have significantly advanced our nowcasting capabilities in China. By doing so, we aim to help businesses meet their climate-related challenges and mitigate the risks of unpredictable weather,” added Jin.

The AI-based forecast platform, co-developed by Alibaba DAMO Academy and the National Meteorological Center in China, incorporates a convolutional neural network (CNN) model to effectively extract features from radar reflectivity and meteorological satellite images.

A trained machine-learning model is capable of performing highly accurate and close-to-real-time local weather forecasting in minutes, while Generative Adversarial Network (GAN) works to generate forecast images with exceptional clarity and detail. According to Alibaba, the AI-based prediction model outperforms traditional physics-based models, such as the Global/Regional Assimilation and Prediction System (GRAPES), which requires hours to generate forecasting data.

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, editor-in-chief

Dan first joined UKi Media & Events in 2014 having spent the early years of his career in the recruitment industry. As editor, he now produces content for Meteorological Technology International, unearthing the latest technological advances and research methods for the publication of each exciting new issue. When he’s not reporting on the latest meteorological news, Dan can be found on the golf course or apprehensively planning his next DIY project.

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