Climatologists analyze historical and current climate data to identify trends, model future scenarios, and understand the mechanisms driving climate change. They work with vast datasets involving temperature, precipitation, ocean currents, and atmospheric composition, often using satellite imagery, computer simulations, and statistical models. Their research informs government policy, agricultural planning, disaster preparedness, and corporate risk assessment, making their work increasingly vital as climate impacts intensify globally.
| Entry level | $52,000 |
| Median | $89,000 |
| Senior | $125,000 |
| Top 10% | $160,000 |
| Job growth | +6% |
| Professionals in the USA | 0.1 million |
| Typical hours/week | 42 hrs |
| Remote work share | 35% |
| Annual job openings | 1,500/yr |
| Demand | High |
AI and machine learning are transforming climatology by accelerating data processing, improving model simulations, and identifying patterns in massive climate datasets. However, the field still requires human expertise for hypothesis generation, interpreting complex earth-system interactions, and translating findings into policy-relevant conclusions.
Automation exposure: Routine data cleaning, statistical analysis, running climate model simulations, generating standard reports, and pattern detection in satellite or sensor data are increasingly automated.
The human edge: Humans excel at designing novel research questions, integrating interdisciplinary knowledge, exercising scientific judgment on model uncertainty, communicating findings to policymakers, and navigating the ethical and societal implications of climate science.
Figures are estimates for exploration — verify current data with BLS.gov.