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Guided learning journeys that build knowledge step by step.
category · Learning · slug · learning · 7817 Paths
7817 Paths · page 517 / 782
This advanced graduate-level learning path systematically explores the general circulation of the atmosphere, from fundamental driving forces to the three-cell model, jet streams, monsoons, and climate variability. It emphasizes the physical mechanisms and energy balance that govern global atmospheric motion, preparing learners for research in atmospheric dynamics.
A comprehensive graduate-level learning path covering the mathematical and computational foundations of numerical weather prediction (NWP), including model equations, discretization, data assimilation, ensemble methods, model evaluation, and operational considerations.
A systematic learning path for atmospheric science students covering the fundamental atmospheric processes, major severe weather phenomena (thunderstorms, tornadoes, hurricanes, blizzards, heat waves), and the principles of severe weather forecasting and hazard assessment.
A systematic learning path for atmospheric science students covering the fundamentals of climate systems, climate classification methods, and applications to climate variability and change. The path progresses from basic climate concepts through classification schemes to advanced topics in teleconnections, paleoclimatology, and modern climate change.
This learning path equips atmospheric science students with a practical understanding of modern weather forecasting. It covers the foundational principles of synoptic meteorology, the operational use of numerical weather prediction (NWP) models, ensemble forecasting, data assimilation, forecast verification, and the interpretation of forecast products. The path emphasizes the integration of these components in real-world forecasting workflows.
This learning path provides a systematic introduction to the instruments used to measure atmospheric variables, from in-situ ground-based sensors to remote sensing platforms such as radar, lidar, and satellites. It covers fundamental physical principles, data quality, and calibration, ensuring learners can understand how measurements are made and how to assess their reliability.
This learning path introduces the core concepts of atmospheric chemistry, focusing on chemical processes in the atmosphere. It covers trace gases, photochemistry, ozone chemistry, pollution, and aerosols, building from foundational principles to applied topics.
A systematic learning path for atmospheric science students to understand processes in the atmospheric boundary layer, covering turbulence, surface fluxes, diurnal transitions, and stable boundary layers, with foundations in fluid dynamics.
This learning path guides atmospheric science students through the fundamental concepts and skills needed to analyze synoptic weather patterns and produce informed forecasts. Starting with the basic structure of the atmosphere, it progresses through pressure systems, air masses, fronts, and upper-level dynamics, culminating in the synthesis of these elements into comprehensive weather forecasting. The path emphasizes hands-on analysis of weather maps and the interpretation of meteorological data.
This advanced path systematically covers the physics of solar and terrestrial radiation, radiative transfer theory, the greenhouse effect, and radiative equilibrium, culminating in an understanding of climate forcing. It builds from foundational physics and calculus through to advanced atmospheric applications.