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AI agent for meteorologists

Monthly Climate Summary Agent

An accurate, timely monthly climate summary

ReportingScience and researchGovernment
See how it worksGet access
Monthly Climate Summary Agent: what goes in, what the agent does and what you get

What it does

Each month, offices publish climate summaries comparing temperature and precipitation with normals and records. Pulling and checking the data by hand takes hours. This agent pulls station data, checks for missing days and suspect values, and computes departures from normal. If a station has gaps or suspect values, it requests fixes or marks the station incomplete. It compares values with the station record books and flags possible new records for confirmation before anything is called a record. It then drafts the summary text, tables and a short note on notable events, such as heat waves or heavy rain days. You approve the summary before it is published. Edge case: a station with more than the allowed number of missing days is marked incomplete and left out of the record comparisons.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedNo 1 STARTS WHEN Month ends 2 USES A TOOL Pull station data 3 CHECKS THE RESULT Is station data complete and valid? If not: mark incomplete or request fixes. Back to step2. 4 DOES Compute departures from normal 5 DOES Flag possible records 6 YOU APPROVE Meteorologist approves summary 7 RESULT Summary published
Read the steps as a list
  1. Month ends
  2. Pull station data
  3. Is station data complete and valid?If not: mark incomplete or request fixes. Back to step 2.
  4. Compute departures from normal
  5. Flag possible records
  6. Meteorologist approves summaryThe agent waits here for your OK.
  7. Summary published

How it decides

It computes departures on quality-checked data and flags possible records.

  • Mark stations with too many missing days
  • Flag possible records
  • Use current normals

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Stations to include
  • Missing day limit (default 5)
  • Normals period
  • Summary format

What keeps you in control

It always asks you first

  • Publishing

Hard limits

  • Never confirms records itself

It stops when

  • Done: published
  • Stop: data delayed

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensFor October the agent pulled data for 18 stations. Its check found Millbrook missing 4 days and Pine Ridge reporting a 96 F high on October 28, 30 degrees above its neighbors. It filled Millbrook from the co-op observer form and flagged Pine Ridge as suspect. It then computed departures, with the city 2.4 F above normal, and one possible record low rainfall. The meteorologist confirmed the record and approved the summary.

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