Publications
Our publications reflect the core mission of STORM Lab: advancing the science of weather, climate, and energy systems through the integration of physics-based modelling, observations, and data-driven approaches.
Our work spans numerical weather prediction, radar–satellite remote sensing, machine learning, and thermodynamic analysis, with a strong emphasis on improving the understanding and prediction of extreme atmospheric events. Through peer-reviewed journal articles and international conference contributions, we develop and validate methodologies that bridge the gap between theory, observations, and real-world applications.
Key contributions from our research include:
Enhancing rainfall estimation and prediction using integrated radar, satellite, and model-based approaches
Developing machine learning frameworks for atmospheric retrieval, classification, and forecasting
Advancing data assimilation and model evaluation techniques within WRF and related systems
Investigating urban climate and anthropogenic impacts on local weather processes
Applying thermodynamic principles to atmospheric and energy systems
Our publication record demonstrates a sustained effort toward building reliable, high-impact solutions for weather and climate challenges, supported by collaborations with national and international research communities.
📚 Browse the sections below for selected journal articles, conference publications, and a complete list of our research outputs.