Meteorological Technology International
  • News
    • A-E
      • Agriculture
      • Automated Weather Stations
      • Aviation
      • Climate Measurement
      • Data
      • Developing Countries
      • Digital Applications
      • Early Warning Systems
      • Extreme Weather
    • G-P
      • Hydrology
      • Lidar
      • Lightning Detection
      • New Appointments
      • Nowcasting
      • Numerical Weather Prediction
      • Polar Weather
    • R-S
      • Radar
      • Rainfall
      • Remote Sensing
      • Renewable Energy
      • Satellites
      • Solar
      • Space Weather
      • Supercomputers
    • T-Z
      • Training
      • Transport
      • Weather Instruments
      • Wind
      • World Meteorological Organization
      • Meteorological Technology World Expo
  • Features
  • Online Magazines
    • April 2025
    • January 2025
    • September 2024
    • April 2024
    • Archive Issues
    • Subscribe Free!
  • Opinion
  • Videos
  • Supplier Spotlight
  • Expo
LinkedIn Twitter Facebook
  • Sign-up for Free Weekly E-Newsletter
  • Meet the Editors
  • Contact Us
  • Media Pack
LinkedIn Facebook
Subscribe
Meteorological Technology International
  • News
      • Agriculture
      • Automated Weather Stations
      • Aviation
      • Climate Measurement
      • Data
      • Developing Countries
      • Digital Applications
      • Early Warning Systems
      • Extreme Weather
      • Hydrology
      • Lidar
      • Lightning Detection
      • New Appointments
      • Nowcasting
      • Numerical Weather Prediction
      • Polar Weather
      • Radar
      • Rainfall
      • Remote Sensing
      • Renewable Energy
      • Satellites
      • Solar
      • Space Weather
      • Supercomputers
      • Training
      • Transport
      • Weather Instruments
      • Wind
      • World Meteorological Organization
      • Meteorological Technology World Expo
  • Features
  • Online Magazines
    1. April 2025
    2. January 2025
    3. September 2024
    4. April 2024
    5. January 2024
    6. September 2023
    7. April 2023
    8. Archive Issues
    9. Subscribe Free!
    Featured
    April 15, 2025

    In this Issue – April 2025

    By Web TeamApril 15, 2025
    Recent

    In this Issue – April 2025

    April 15, 2025

    In this Issue – January 2025

    December 13, 2024

    In this Issue – September 2024

    August 8, 2024
  • Opinion
  • Videos
  • Supplier Spotlight
  • Expo
Facebook LinkedIn
Subscribe
Meteorological Technology International
Nowcasting

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

Dan SymondsBy Dan SymondsOctober 22, 20212 Mins Read
Share LinkedIn Facebook Twitter Email
Credit: Pixabay
Share
LinkedIn Facebook Twitter Email

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.

Previous ArticleUNSW Canberra study deems creation of Australian-built weather satellites “practically achievable”
Next Article University of Hawaiʻi awarded US$1.3m grant to roll out weather station network

Read Similar Stories

Digital Applications

Tianjin University AI model turns street cameras into rainfall sensors

May 14, 20253 Mins Read
Climate Measurement

Omaha’s National Weather Service office resumes twice-daily balloon launches

May 7, 20252 Mins Read
Climate Measurement

University of Oxford researchers investigate use of seismic signals in volcanic eruption prediction

May 6, 20254 Mins Read
Latest News

EXCLUSIVE INTERVIEW: Ramla Qureshi, McMaster University’s Department of Civil Engineering

May 14, 2025

Tianjin University AI model turns street cameras into rainfall sensors

May 14, 2025

University of Exeter launches £5m, five-year project to model Sun’s atmosphere

May 13, 2025

Receive breaking stories and features in your inbox each week, for free


Enter your email address:


Supplier Spotlights
  • MicroStep-MIS
Latest Job Postings
  • Researcher/Engineer to support data-based weather forecasting (R2/RE2)

    • Barcelona
    • Barcelona Supercomputing Center - Centro Nacional de Supercomputación
    • Full Time
Getting in Touch
  • Contact Us / Advertise
  • Meet the Editors
  • Download Media Pack
  • Free Weekly E-Newsletter
Our Social Channels
  • Facebook
  • LinkedIn
© 2025 UKi Media & Events a division of UKIP Media & Events Ltd
  • Cookie Policy
  • Privacy Policy
  • Terms and Conditions
  • Notice and Takedown Policy

Type above and press Enter to search. Press Esc to cancel.

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
Cookie settingsACCEPT
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the ...
Necessary
Always Enabled

Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.

CookieDurationDescription
cookielawinfo-checbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

Functional

Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.

Performance

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

Analytics

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.

Advertisement

Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.

Others

Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.

SAVE & ACCEPT
Powered by