🌦️ How does weather forecasting work?
Observe the fluid sky, assimilate a snapshot, run physics on a grid, then publish calibrated risk.
What you’ll learn
- What a forecast is trying to sayDefine weather versus climate and interpret pressure patterns and probabilities.Weather is short-term fluid behavior. Highs, lows, and fronts organize it. Probability is calibrated uncertainty, not a broken promise.
- How the atmosphere is observedDescribe major observation platforms and the role of data assimilation.Stations, balloons, radar, and satellites feed analyses. Gaps and errors seed later forecast uncertainty.
- Models: equations on a gridExplain numerical weather prediction, resolution tradeoffs, and ensembles.Models integrate physics on grids. Resolution costs compute. Ensembles map chaos-driven uncertainty.
- From raw model to public forecastTrace post-processing, human interpretation, warnings, and local effects.Raw fields become calibrated guidance and public wording. Local geography still rearranges details.
- Skill, limits, and reading forecasts wellConnect skill decay, climate context, and literate use of forecast products.Detail fades with lead time. Climate shifts the background. Good users treat forecasts as risk tools and trust official warnings.
Questions this course answers
Which best distinguishes weather from climate?
Weather is the day-to-day state; climate summarizes long-term patterns and variability.
Fill in the key idea
Probability expresses how often rain occurs in similar forecast situations for the defined place and time.
Match each tool to what it mainly contributes
Different instruments sample different parts of the atmospheric state used in analysis.
Order the early forecast pipeline steps
You observe, blend into a now-state, integrate physics forward, then communicate and revise.
Why do forecast centers run ensembles instead of only one model run?
Chaos and incomplete observations mean one run can mislead; a family of runs shows spread and confidence.
What is numerical weather prediction primarily doing?
NWP models discretize fluid and thermodynamic equations and step them ahead in time from an analyzed state.
Grounded in trusted sources
- National Oceanic and Atmospheric Administration (NOAA) / National Weather Service educational materials on forecasting and observations
- European Centre for Medium-Range Weather Forecasts (ECMWF) public explainers on numerical weather prediction and ensembles
- American Meteorological Society educational resources on weather analysis and forecasting
- World Meteorological Organization public materials on the global observing system
Every Wunder lesson is built from real, reputable sources — never invented.
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