Weather Forecasting combines meteorology, machine learning, and numerical weather prediction (NWP) to forecast atmospheric conditions. Used by meteorologists, data scientists, and AI engineers at weather services, airlines, agriculture, energy, and climate tech companies. Specialists work with atmospheric models (WRF, ICON), satellite data, radar, and ML frameworks. Salary band: $125–185k mid-level; higher for senior scientists. Takes 5–7 months to proficiency with strong ML and physics background.
Weather Forecasting is the science of predicting future atmospheric conditions using observational data, numerical models, and machine learning. Meteorologists and data scientists use physics-based models (WRF, ICON) that simulate atmospheric dynamics, combined with ML models that correct biases and downscale predictions to local scales. Forecasts are used by airlines, agriculture, energy, utilities, and emergency management. The field combines classical meteorology, numerical modeling, machine learning, and big data engineering. Modern weather prediction is as much data science as it is physics.
| Yanki | Ƙarami | Matsakaici | Babba |
|---|---|---|---|
| USA | $100k | $160k | $230k |
| UK | £60k | £110k | £160k |
| EU | €65k | €120k | €175k |
| CANADA | C$95k | C$150k | C$215k |
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