
Meteorology Course
Master the science behind every storm, front, and forecast with this comprehensive meteorology course. From atmospheric thermodynamics to numerical weather prediction, you'll build the technical depth that professional forecasters rely on every day. This is the complete meteorology education serious weather professionals demand.
What you will learn:
This course covers the full spectrum of meteorological science, starting with atmospheric structure and thermodynamics and advancing through synoptic analysis, severe weather diagnosis, and numerical weather prediction. You will learn to read and construct surface and upper-level charts, interpret Doppler radar and satellite imagery, and apply ensemble model guidance to real forecast scenarios. Tropical meteorology, aviation weather hazards, and climate variability are also addressed in dedicated chapters. By the end, you will be equipped to produce, verify, and communicate professional-grade weather forecasts with confidence.
How you study in practice Meteorology Course
How you practise Meteorology Course
For companies looking to train their teams
With Dedika for businesses, the course includes exercises and examples tailored to your company and its specific needs.
Course content
8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Meteorology
Foundations of Meteorology
Lesson 1 • Solar Radiation and Energy Balance
Covers insolation, albedo, and the greenhouse effect as drivers of atmospheric heating. Provides the energy framework underlying temperature gradients and circulation patterns.
Lesson 2 • Composition of the Atmosphere
Examines the gases, aerosols, and trace constituents that form the atmosphere. Establishes the chemical baseline needed for all subsequent thermodynamic and dynamic analysis.
Lesson 3 • Temperature and Heat Transfer
Explains conduction, convection, and radiation as heat transfer modes in the atmosphere. Introduces lapse rates and temperature inversions critical to stability analysis.
Lesson 4 • Atmospheric Pressure Fundamentals
Defines pressure, its vertical variation, and measurement techniques using barometers and altimeters. Links pressure gradients to wind formation covered in later chapters.
Lesson 5 • Atmospheric Structure and Layers
Defines the troposphere, stratosphere, mesosphere, and thermosphere by temperature and pressure profiles. Connects layer properties to weather phenomena studied throughout the course.
Chapter 2HideHide detailsSee detailsAtmospheric Thermodynamics
Atmospheric Thermodynamics
Lesson 1 • Gas Laws and the Ideal Gas Equation
Reviews Boyle's, Charles's, and the combined gas laws as applied to dry air parcels. Establishes the equation of state used in all parcel theory calculations.
Lesson 2 • Moisture Variables and Humidity
Defines mixing ratio, specific humidity, relative humidity, and dew point as moisture descriptors. Prepares students to interpret sounding data and forecast precipitation type.
Lesson 3 • Thermodynamic Diagrams
Teaches use of skew-T log-P and tephigram diagrams to analyse atmospheric soundings. Integrates all thermodynamic variables into a single operational forecasting tool.
Lesson 4 • Adiabatic Processes and Lapse Rates
Distinguishes dry and moist adiabatic lapse rates and explains their physical origins. Connects parcel cooling rates to cloud base height and convective initiation.
Lesson 5 • Atmospheric Stability Analysis
Introduces absolute, conditional, and convective instability using parcel versus environment comparisons. Provides tools to forecast convective weather and turbulence potential.
Chapter 3HideHide detailsSee detailsAtmospheric Dynamics and Wind
Atmospheric Dynamics and Wind
Lesson 1 • Boundary Layer and Surface Winds
Analyses how friction modifies geostrophic balance in the planetary boundary layer. Connects surface wind direction to pressure patterns and terrain effects.
Lesson 2 • Vorticity and Divergence
Introduces relative, planetary, and absolute vorticity and the vorticity equation. Connects divergence and vorticity advection to vertical motion and weather development.
Lesson 3 • Geostrophic and Gradient Wind
Derives geostrophic balance and extends it to curved flow with the gradient wind equation. Explains why upper-level winds closely follow isobars and height contours.
Lesson 4 • Forces Acting on Air Parcels
Identifies pressure gradient, Coriolis, gravity, and friction forces and their relative magnitudes. Establishes the force framework used to derive all wind equations in this chapter.
Lesson 5 • Jet Streams and Upper-Level Flow
Describes polar and subtropical jet streams, their thermal wind origin, and seasonal variability. Links jet stream position to surface cyclone development and storm tracks.
Chapter 4HideHide detailsSee detailsCloud Formation and Precipitation
Cloud Formation and Precipitation
Lesson 1 • Cloud Microphysics
Covers nucleation, droplet growth by condensation, and the Bergeron-Findeisen process. Provides the microphysical basis for understanding precipitation efficiency and cloud seeding.
Lesson 2 • Fog and Low Visibility Phenomena
Classifies radiation, advection, upslope, and evaporation fog by formation mechanism. Links fog forecasting to surface energy balance and moisture availability concepts.
Lesson 3 • Cloud Classification and Identification
Applies the international cloud classification system by altitude and form to all major genera. Enables accurate cloud reporting and interpretation of satellite and surface observations.
Lesson 4 • Precipitation Types and Formation
Distinguishes rain, snow, sleet, freezing rain, and hail by their formation pathways. Prepares students to forecast precipitation type using temperature profiles and soundings.
Lesson 5 • Lifting Mechanisms and Cloud Development
Identifies orographic, frontal, convergence, and convective lifting as cloud-forming mechanisms. Connects each mechanism to characteristic cloud types and precipitation patterns.
Chapter 5HideHide detailsSee detailsWeather Systems and Synoptic Analysis
Weather Systems and Synoptic Analysis
Lesson 1 • Frontal Systems and Analysis
Defines cold, warm, occluded, and stationary fronts by their thermal and kinematic structure. Teaches frontal analysis techniques applied to surface weather charts.
Lesson 2 • Mid-Latitude Cyclone Development
Applies the Norwegian cyclone model and baroclinic instability theory to extratropical cyclones. Connects upper-level divergence and vorticity to surface cyclogenesis.
Lesson 3 • Anticyclones and Blocking Patterns
Examines subtropical and polar anticyclones, their subsidence, and associated weather regimes. Introduces blocking highs and their role in persistent weather anomalies.
Lesson 4 • Surface and Upper-Level Chart Analysis
Develops skills in drawing isobars, locating fronts, and analysing 500-hPa height patterns. Integrates surface and upper-level analysis into a coherent three-dimensional picture.
Lesson 5 • Air Masses and Their Properties
Classifies air masses by source region, temperature, and moisture content using standard notation. Explains how air mass modification affects weather as air moves from source regions.
Chapter 6HideHide detailsSee detailsSevere Weather and Convective Systems
Severe Weather and Convective Systems
Lesson 1 • Convective Storm Environments
Quantifies instability, shear, and moisture parameters that distinguish severe from ordinary convection. Introduces composite indices used operationally to assess severe weather potential.
Lesson 2 • Thunderstorm Types and Life Cycles
Distinguishes single-cell, multicell, squall line, and supercell thunderstorms by structure and longevity. Connects storm type to the shear and instability environment analysed previously.
Lesson 3 • Mesoscale Convective Systems
Analyses bow echoes, derechos, and mesoscale convective complexes as organised convective modes. Links MCS structure to surface cold pools, rear-inflow jets, and damaging winds.
Lesson 4 • Flash Floods and Extreme Rainfall
Identifies meteorological ingredients for extreme rainfall and flash flood-producing storms. Connects storm motion, training cells, and precipitable water to flood potential.
Lesson 5 • Tornadoes and Mesocyclones
Explains mesocyclone development, tornado formation, and the role of streamwise vorticity. Covers tornado intensity scales, damage indicators, and detection methods.
Chapter 7HideHide detailsSee detailsNumerical Weather Prediction
Numerical Weather Prediction
Lesson 1 • Model Types and Grid Configurations
Compares global, regional, and convection-allowing models by resolution, domain, and application. Introduces vertical coordinate systems and their impact on terrain representation.
Lesson 2 • Ensemble Forecasting and Uncertainty
Introduces ensemble generation methods, spread-skill relationships, and probabilistic forecast products. Teaches interpretation of spaghetti plots, plume diagrams, and probability of exceedance.
Lesson 3 • Parameterisation Schemes
Describes cumulus, boundary layer, microphysics, and radiation parameterisations and their trade-offs. Explains how subgrid processes are represented and how scheme choice affects forecasts.
Lesson 4 • Governing Equations of the Atmosphere
Presents the primitive equations of motion, thermodynamics, and continuity as the NWP foundation. Connects each equation to the physical processes modelled in operational forecast systems.
Lesson 5 • Model Initialisation and Data Assimilation
Explains how observational data are ingested and quality-controlled to create model initial states. Covers variational and ensemble Kalman filter assimilation methods at a conceptual level.
Chapter 8HideHide detailsSee detailsApplied Forecasting and Decision Support
Applied Forecasting and Decision Support
Lesson 1 • Short-Range and Mesoscale Forecasting
Applies high-resolution model output and local knowledge to 0–48-hour mesoscale forecasts. Emphasises timing, location, and intensity of precipitation and severe weather events.
Lesson 2 • Forecast Process and Methodology
Structures the forecast process from data collection through product issuance using a systematic approach. Introduces conceptual models as mental frameworks for pattern recognition.
Lesson 3 • Forecast Verification and Improvement
Applies standard verification metrics including bias, MAE, RMSE, and skill scores to forecast evaluation. Connects systematic error identification to targeted forecast improvement strategies.
Lesson 4 • Medium-Range and Extended Forecasting
Uses ensemble guidance and teleconnection patterns for 3–14-day forecast preparation. Addresses predictability limits and communicating uncertainty to end users.
Lesson 5 • Observational Data Integration
Combines surface, upper-air, radar, and satellite observations into a coherent situational picture. Teaches data quality assessment and gap-filling strategies for incomplete observational networks.
Your valid completion certificate
This course is for you:
Atmospheric science student: seeking structured depth beyond introductory university coursework.
Career changer: moving from engineering or environmental science into weather forecasting.
Military weather observer: building theoretical grounding behind daily operational duties.
Aviation professional: needing reliable meteorological judgment for flight safety decisions.
Emergency manager: wanting to interpret forecast products without depending solely on briefings.
Weather enthusiast: ready to graduate from casual interest into serious scientific study.
What our students say
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