CFP

2026 International Conference on Meteorological Automation and Artificial Intelligence (ICMAAI 2026) will bring together leading researchers, engineers and scientists in the domain of interest from around the world.

The topics of interest for submission include, but are not limited to:

◕ Meteorological Automation

Automated Meteorological Stations

Remote Sensing Auto Processing

Automated Weather Observation

Automatic Data Acquisition

Intelligent Meteorological Instruments

Automated Weather Warning System

Radar Automatic Recognition

Automated Data Quality Control

UAV Meteorological Monitoring

Automated Cloud Image Analysis

Automated Meteorological Model Integration

Automatic Weather Information Release

Automated Atmospheric Detection

Automated Station Maintenance

Automated Data Storage

◕ Artificial Intelligence in Meteorology

Weather Forecasting with ML

Deep Learning Meteorological Models

Meteorological Big Data Analytics

AI Climate Simulation

Intelligent Disaster Prediction

Storm Intelligent Recognition

Meteorological Image Recognition

Natural Language Weather Processing

AI-Assisted Weather Decisions

Intelligent Data Fusion

Machine Vision Meteorological Detection

AI Smart Weather Services

Predictive Model Optimization

Intelligent Risk Assessment

Multimodal Meteorological AI

◕ Emerging Technologies and Applications

Cloud Computing for Meteorology

IoT Meteorological Systems

Edge Computing in Meteorology

5G Weather Data Transmission

Large-scale Weather Cloud Platforms

Intelligent Sensor Networks

VR Meteorological Visualization

Blockchain in Meteorology

Smart Weather Mobile Apps

Automated Weather Software

Real-time Data Analysis

Weather Information Security

Multi-source Data Fusion

Intelligent Weather Devices

Automation Standardization

Manuscripts passed the peer-review process by expert reviewers from the conference organizing committee will be accepted and published in the Conference Proceedings. The published papers will then be submitted to EI Compendex, Scopus for abstracting/indexing.