Weather Course

Lesson 1 • Introduction to Meteorological Instruments

Surveys standard instruments used to measure atmospheric variables at surface stations. Grounds students in data collection before moving to analysis techniques.

Lesson 2 • Temperature Concepts and Measurement

Introduces temperature scales, lapse rates, and surface versus upper-air temperature behaviour. Provides measurement skills essential for reading weather data.

Lesson 3 • Energy and Heat in the Atmosphere

Covers solar radiation, heat transfer mechanisms, and the energy budget of Earth. Connects energy input to temperature patterns observed in weather systems.

Lesson 4 • Composition and Structure of the Atmosphere

Examines the layered structure of the atmosphere and the gases that compose it. Establishes the physical framework needed for all subsequent weather analysis.

Lesson 1 • Global Atmospheric Circulation

Describes the three-cell circulation model, trade winds, and prevailing westerlies. Establishes the large-scale context within which synoptic weather systems develop.

Lesson 2 • Forces Acting on Air Parcels

Analyses pressure gradient force, gravity, friction, and the Coriolis effect on moving air. Provides the mechanical basis for understanding all wind behaviour.

Lesson 3 • Surface and Upper-Level Wind Patterns

Distinguishes geostrophic, gradient, and surface winds and their relationship to isobars. Connects theoretical wind models to patterns seen on weather maps.

Lesson 4 • Wind Measurement and Reporting

Teaches wind speed scales, direction conventions, and standard reporting formats used operationally. Prepares students to read and communicate wind data accurately.

Lesson 1 • Cloud Formation Mechanisms

Explains lifting processes, adiabatic cooling, and the role of condensation nuclei in cloud development. Ties formation mechanisms to the cloud types students will later classify.

Lesson 2 • Precipitation Formation Processes

Covers the Bergeron process, collision-coalescence, and warm versus cold cloud precipitation. Connects microphysical processes to the precipitation types observed at the surface.

Lesson 3 • Atmospheric Stability and Instability

Defines stable, unstable, and conditionally unstable atmospheres using lapse rate comparisons. Explains how stability controls cloud depth, precipitation intensity, and severe weather potential.

Lesson 4 • Measuring and Reporting Precipitation

Introduces rain gauges, snow measurement techniques, and radar-derived precipitation estimates. Ensures students can collect, quality-control, and report precipitation data.

Lesson 1 • Isobaric Analysis Techniques

Covers drawing and interpreting isobars, identifying pressure centres, and analysing gradient strength. Connects pressure patterns to wind and weather distribution across a map.

Lesson 2 • Frontal Systems and Boundaries

Identifies cold, warm, stationary, and occluded fronts and their map symbols and weather signatures. Builds the analytical skill to anticipate weather changes as fronts approach.

Lesson 3 • Surface Station Model Decoding

Teaches the standard station model layout including all plotted variables and their positions. Enables accurate decoding of real-time surface observation data.

Lesson 4 • Synoptic Pattern Recognition

Trains students to recognise recurring synoptic configurations and their associated weather regimes. Bridges map reading skills to practical short-range weather interpretation.

Lesson 1 • Operational Model Guidance Interpretation

Surveys global and mesoscale models and teaches how to extract and compare their forecast fields. Prepares students to use model output as a primary forecasting tool.

Lesson 2 • Reading Upper-Air Charts

Teaches contour analysis on 850, 700, 500, and 300 hPa charts and their meteorological significance. Connects upper-level flow patterns to surface weather development.

Lesson 3 • Ensemble Forecasting and Uncertainty

Introduces ensemble systems, spread interpretation, and probabilistic forecast products. Enables students to communicate forecast confidence and uncertainty to end users.

Lesson 4 • Upper-Air Observation Systems

Describes radiosonde launches, wind profilers, and aircraft observations that sample the upper atmosphere. Establishes the data sources that feed upper-air analysis and model initialisation.

Lesson 1 • Thunderstorm Development and Structure

Covers the lifecycle stages of ordinary, multicell, and supercell thunderstorms and their internal dynamics. Establishes the structural knowledge needed to assess severe thunderstorm potential.

Lesson 2 • Tornado Meteorology

Examines tornado formation, intensity scales, detection signatures, and environmental ingredients. Prepares students to identify tornado-favourable setups and interpret radar signatures.

Lesson 3 • Flooding and Flash Flood Meteorology

Identifies atmospheric setups conducive to excessive rainfall and rapid runoff leading to flash floods. Links quantitative precipitation forecasting to flood threat assessment.

Lesson 4 • Winter Storm Hazards and Analysis

Analyses the meteorological conditions producing heavy snow, ice storms, and blizzards. Connects thermodynamic profiles and precipitation type algorithms to winter hazard forecasting.

Lesson 1 • Forecast Decision-Making Under Uncertainty

Applies cost-loss analysis and decision theory to high-impact weather forecast scenarios. Bridges meteorological analysis to actionable decisions for users with varying risk tolerances.

Lesson 2 • Forecast Verification and Skill Assessment

Introduces standard verification metrics including bias, MAE, RMSE, and skill scores. Enables students to objectively evaluate forecast performance and identify systematic errors.

Lesson 3 • Short-Range Forecasting Techniques

Focuses on 0–48 hour forecast production using high-resolution model output and observations. Develops the situational awareness and decision-making skills for near-term forecasting.

Lesson 4 • Medium-Range and Extended Forecasting

Addresses 3–10 day forecast strategies using ensemble guidance and teleconnection patterns. Prepares students to produce useful extended forecasts while communicating inherent uncertainty.

Lesson 1 • Major Climate Variability Modes

Examines ENSO, the Pacific Decadal Oscillation, and the Arctic Oscillation as drivers of seasonal weather patterns. Connects index values to expected temperature and precipitation anomalies.

Lesson 2 • Seasonal and Long-Range Forecast Products

Teaches how to read and apply seasonal outlook products for temperature and precipitation probability. Prepares students to incorporate long-range guidance into planning and decision support.

Lesson 3 • Climate Versus Weather Distinctions

Clarifies the temporal and statistical differences between weather and climate and their respective analysis methods. Establishes the conceptual boundary needed before studying variability and change.

Lesson 4 • Climate Projections and Scenario Planning

Introduces emissions scenarios, climate model projections, and downscaling methods for regional impact assessment. Equips students to use projection data responsibly in long-range planning contexts.