AI for Meteorologists

Prompts for Forecasters, Warnings, and Climate

1. The lessons

   1. Daily Forecast Drafting: Turn model trends and observations into clear, ready-to-use forecast discussions and timelines.
   2. Public Forecast Communication: Explain forecasts and uncertainty to the public in plain language across different channels.
   3. Severe Weather Messaging: Draft urgent, clear warning text and safety instructions for severe weather events.
   4. Radar And Satellite Interpretation: Get plain-English explanations and summaries of radar and satellite features from your notes or descriptions.
   5. Model Output Comparison: Compare model runs, identify disagreement drivers, and summarize ensemble probabilities.
   6. Emergency Services Coordination: Prepare concise weather briefings and impact timelines for emergency managers and responders.
   7. Verification And Post-Event Reports: Document what happened, compare forecasts to observations, and capture lessons learned.
   8. Climate Trend Summaries: Turn climate data and seasonal outlooks into readable summaries for stakeholders.
   9. Shift Handoff And Training: Prepare shift handoff notes and build practice scenarios for junior meteorologists.
2. What the course covers

   The course follows nine lessons in order: daily forecast drafting, public communication, severe weather messaging, radar and satellite interpretation, model output comparison, emergency services coordination, verification and post-event reports, climate trend summaries, and shift handoff and training.

   Each lesson gives you a prompt you can copy, an example of the output, and notes on what to check before you use it.

3. How the lessons connect

   The early lessons cover the words you write every day, like the forecast discussion and the public forecast. The middle lessons handle the high-pressure moments: warnings, briefings, and model disagreements.

   The last lessons look back and forward, with verification reports, climate summaries, and handoff notes that help the next shift and the next meteorologist.

4. How to use the prompts well

   Start with the prompt as written, then add your own details: the region, the season, the audience, and the time window. The more specific you are, the more useful the draft.

   Always read the output with your forecaster eyes. Check the numbers, the timing, and the tone before it goes anywhere.

5. Who this course is for

   This course is for working meteorologists, whether you are at a national service, a private forecasting firm, a broadcast station, or a research group.

   It is also for students and early-career forecasters who want to build good habits from the start.

6. Safety and privacy for this job

   Weather data is often public, but not everything is. Keep internal discussions, private contacts, and sensitive locations out of your prompts.

   Follow your agency or company rules, and remember that the final warning or forecast is always a human decision.

7. Your next step

   Pick the lesson that matches your next shift. Try the prompt, adjust it, and save the version that works for you.

   Then move to the next lesson. By the end, you will have a small set of prompts that fit your job.