580 California St., Suite 400
San Francisco, CA, 94104
Key research themes
1. How do advanced observational platforms and remote sensing improve atmospheric characterization relevant to aviation meteorology?
This research area investigates the deployment and configuration of sophisticated observational systems—such as high-altitude research aircraft, small uncrewed aircraft systems (sUAS), and meteorological supersites—to acquire detailed atmospheric data. These platforms enable enhanced understanding of key boundary layer and cloud processes, improve initialization for numerical weather and dispersion models, and provide innovative remote sensing capabilities critical for aviation safety and meteorological insight.
Key finding: This paper demonstrated that configuring the High-Altitude Long-Range Research Aircraft (HALO) with advanced remote sensing instruments enables simultaneous observation of atmospheric water condensate distribution, radiant... Read more
Key finding: This study showed that sUAS-obtained vertical profiles of meteorological variables within the planetary boundary layer substantially improve input data quality for atmospheric dispersion models. Using sUAS observations... Read more
Key finding: This work revealed that integrating diverse observing systems—including weather and environmental UAVs, fog and snow towers, microwave rain radars, and ceilometers—at a meteorological supersite enhances the characterization... Read more
Key finding: This comprehensive review highlighted how the evolution of atmospheric observing systems—including surface networks, upper-air soundings, remote sensing technologies (radar, lidar), and research aircraft—has been fundamental... Read more
2. What are the meteorological phenomena and hazards most impactful to aviation operations and safety?
This theme focuses on identifying, characterizing, and quantifying weather hazards such as turbulence, convective wind events, fog, and icing that significantly affect aviation safety and efficiency. It also addresses how these phenomena are detected, forecasted, and analyzed in specific regional contexts and through case studies, thereby providing actionable insights for operational meteorology and hazard mitigation in aviation.
Key finding: The study quantitatively demonstrated that aviation turbulence arising from multiple sources—clear-air turbulence (CAT), mountain-wave turbulence (MWT), and near-cloud turbulence (NCT)—is projected to intensify globally under... Read more
Key finding: By correlating Aircraft Meteorological Data Relay (AMDAR)-derived equivalent vertical gust measurements with satellite imagery and synoptic analysis, this study identified the spatial patterns and atmospheric conditions... Read more
Key finding: Using a 40-year homogenized meteorological dataset, this paper quantified the frequency and trends of fog, thunderstorms, hail, and glaze occurrences at Bydgoszcz Airport, establishing fog and thunderstorms as the most... Read more
Key finding: This study developed a detailed convective wind climatology from multiple tower-level datasets over nearly a decade and identified key thermodynamic parameters and vertical profile characteristics that statistically... Read more
Key finding: Applying the WRF-ARW model, the study elucidated that converging gap winds over the Kathmandu Valley created complex near-surface turbulence and strong up/down drafts at the Tribhuvan International Airport, contributing to a... Read more
3. How can standardized terminology and educational resources advance meteorological knowledge and communication in aeronautics?
Effective communication and precise knowledge dissemination in aeronautical meteorology rely heavily on standardized terminology and structured educational curricula. This theme examines linguistic systematization approaches for aeronautical meteorology terminology, the development of inquiry-based instructional materials, and accessible laboratory exercises in space weather forecasting to enhance learning, interoperability, and safety within aviation meteorology sectors.
Key finding: This paper proposed a structured methodology using corpus linguistics to systematize and validate aeronautical meteorology terminology and its translations, focusing on Portuguese language institutional contexts. By linking... Read more
Key finding: This educator's resource offers inquiry-based learning frameworks and hands-on meteorological activities that foster active engagement and conceptual understanding of weather and climate phenomena. While targeted at middle... Read more
Key finding: The paper detailed the design and implementation of a practical space weather prediction laboratory integrated within a Bachelor of Space Science program. The lab facilitates student-driven learning about space weather... Read more
Key finding: The lecture note synthesizes fundamental climatology concepts—including climate classification, energy balance, and scales of climate—that underpin understanding of atmospheric processes impacting water resources and... Read more