Toni Santos is a meteorological researcher and atmospheric data specialist focusing on the study of airflow dynamics, citizen-based weather observation, and the computational models that decode cloud behavior. Through an interdisciplinary and sensor-focused lens, Toni investigates how humanity has captured wind patterns, atmospheric moisture, and climate signals — across landscapes, technologies, and distributed networks. His work is grounded in a fascination with atmosphere not only as phenomenon, but as carrier of environmental information. From airflow pattern capture systems to cloud modeling and distributed sensor networks, Toni uncovers the observational and analytical tools through which communities preserve their relationship with the atmospheric unknown. With a background in weather instrumentation and atmospheric data history, Toni blends sensor analysis with field research to reveal how weather data is used to shape prediction, transmit climate patterns, and encode environmental knowledge. As the creative mind behind dralvynas, Toni curates illustrated atmospheric datasets, speculative airflow studies, and interpretive cloud models that revive the deep methodological ties between weather observation, citizen technology, and data-driven science. His work is a tribute to: The evolving methods of Airflow Pattern Capture Technology The distributed power of Citizen Weather Technology and Networks The predictive modeling of Cloud Interpretation Systems The interconnected infrastructure of Data Logging Networks and Sensors Whether you're a weather historian, atmospheric researcher, or curious observer of environmental data wisdom, Toni invites you to explore the hidden layers of climate knowledge — one sensor, one airflow, one cloud pattern at a time.
