Sensing Technologies and Artificial Intelligence Applied to Weather Observation and Forecasting

Dear Colleagues,

Artificial intelligence (AI) and machine learning techniques have advanced considerably in recent years across a wide range of areas and applications. Particularly, the field of weather observation, forecasting, and nowcasting shows encouraging signs that AI is increasingly considered for monitoring and predictive applications. The achieved results are promising, and this trend is expected to continue with ever-increasing sources and volume of data. Due to the growing interest in climate change, society is also increasingly sensitive to the improvement of the accuracy and resolution of forecasts. In recent times, the application of new systems to help in disaster risk management in severe weather situations has attracted much attention to authorities and economical agents.

Weather observations are performed using a wide range of observation systems, equipped with different kinds of sensors: weather stations, wind profilers, balloons, Doppler radar, satellites, microwave radiolinks, cameras, etc. These types of equipment capture a wide variety of information. Physical models of the atmosphere are traditionally used to perform weather forecasting, but the limitations of the models create new challenges. Artificial intelligence offers a wide range of possibilities to overcome the deficiencies of traditional techniques, providing new insights into the extraction of information from the observations, classification of atmospheric phenomena, and forecasting.

This Special Issue will provide a forum for high-quality contributions in modeling, design, and application of AI to all aspects of weather, information extraction and forecasting, and climate change prediction.

Dr. Juan Luis Navarro-Mesa
Prof. Dr. Antonio G. Ravelo-Garcia
Dr. Carmen Paz Suárez-Araujo
Guest Editors

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• Weather monitoring systems
• Multi-sensor data fusion
• Artificial intelligence
• Computational intelligence
• Deep learning
• Doppler radar
• Satellites
• Wind profilers and balloons
• Radiolinks
• Cameras
• Severe weather
• Climate change
• Weather risk management