Atmospheric science is rapidly evolving as new technologies, analytical tools, and theoretical frameworks enhance our understanding of the Earth's atmosphere and its complex interactions. Despite decades of research, questions related to climate variability, extreme weather events, atmospheric composition, and air quality remain at the forefront of scientific inquiry. The growing impacts of climate change and urbanization intensify the need for accurate weather prediction, improved climate modelling, and a refined grasp of atmospheric dynamics. Recent studies have showcased advances in satellite remote sensing, high-resolution modelling, and integrated observation systems, which are transforming data accuracy and temporal-spatial coverage. Yet, integrating these insights into actionable knowledge for society and decision-makers remains a significant challenge.
Cutting-edge research is addressing a spectrum of themes, including the mechanisms of atmospheric circulation, the influence of aerosols and greenhouse gases, and the prediction of weather extremes. Advances in data assimilation, machine learning, and big data analytics are enabling scientists to dissect complex atmospheric phenomena with unprecedented precision. Despite these strides, gaps persist in predicting the frequency and severity of disruptive weather events, understanding biosphere-atmosphere interactions, and translating scientific advancements into policy and societal benefits. As atmospheric science enters a new era, interdisciplinary collaboration and the incorporation of novel methodologies are vital for pushing the boundaries of knowledge.
This Research Topic aims to present and synthesize the latest advancements, methodological innovations, and transformative research findings in atmospheric science and meteorology. It seeks to highlight breakthrough discoveries, new technologies, and emerging approaches that enhance our understanding of atmospheric processes and their practical implications. By fostering interdisciplinary dialogue, we hope to identify knowledge gaps, promote the integration of novel insights, and stimulate future directions for research in the field.
To gather further insights into the current landscape and future pathways for atmospheric science and meteorology, we welcome articles addressing, but not limited to, the following themes:
• Advanced modelling and simulation techniques
• Applications of remote sensing and observational technologies
• Innovations in weather prediction and climate projection
• Studies on atmospheric composition and air quality
• Impacts of climate change on weather systems
• Interdisciplinary approaches linking atmospheric science with policy and society
• Machine learning and data-driven analysis in atmospheric research
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Data Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
Hypothesis and Theory
Methods
Mini Review
Opinion
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Data Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
Hypothesis and Theory
Methods
Mini Review
Opinion
Original Research
Perspective
Policy Brief
Review
Technology and Code
Keywords: atmospheric science, climate change, weather prediction, remote sensing, machine learning, air quality, aerosols, data assimilation, atmospheric dynamics, climate modelling
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.