Meteorologists study the atmosphere to understand and predict weather patterns, using satellite imagery, radar, computer models, and observational data. They work across various sectors including broadcast media, government agencies like the National Weather Service, aviation, agriculture, and private forecasting companies. Their work ranges from daily weather forecasting and severe storm warnings to long-term climate research and specialized forecasting for industries like shipping, energy, and insurance.
| Entry level | $48,000 |
| Median | $79,000 |
| Senior | $115,000 |
| Top 10% | $145,000 |
| Job growth | +4% |
| Professionals in the USA | 12,000 |
| Typical hours/week | 42 hrs |
| Remote work share | 10% |
| Annual job openings | 900/yr |
| Demand | Moderate |
AI and machine learning are transforming meteorology by significantly improving forecast model accuracy and automating data processing, but human meteorologists remain essential for interpreting complex weather patterns, communicating risks, and making high-stakes decisions during severe weather events. The field is shifting toward humans working alongside AI tools rather than being replaced by them.
Automation exposure: Routine data collection, numerical model runs, basic forecast generation, and standard weather report writing are increasingly automated by AI systems and machine learning algorithms.
The human edge: Human meteorologists excel at interpreting ambiguous or rapidly evolving severe weather situations, communicating urgency and nuance to the public and emergency officials, integrating local knowledge, and exercising judgment when models disagree or produce anomalous results.
Figures are estimates for exploration — verify current data with BLS.gov.