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AI agent for meteorologists

Snowfall Report Reconciliation Agent

Produce a defensible final snowfall total map for the event.

Snowfall Report Reconciliation Agent: what goes in, what the agent does and what you get

What it does

After a snowstorm, an office receives hundreds of snowfall totals from observers, spotters, airports and the public, and some are wrong because the observer measured drifts or the wrong time period. This agent collects the reports, notes the time period and the method where given, and compares each total with its neighbors and with radar and model estimates. It removes clear outliers, marks doubtful ones, and draws a map and a table of totals by place. For doubtful reports it drafts a request for confirmation to the observer and updates the map when answers arrive. It never publishes totals. The forecaster approves the final numbers. Edge case: a mountain report much higher than the valley is kept if elevation explains it.

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
ApprovedYes, continueYes, continueApprovedNoNo 1 STARTS WHEN Storm ends or scheduled run 2 USES A TOOL Collect reports from all sources and removeduplicates 3 DOES Normalize periods and units, then compare eachreport with neighbors, radar estimates and elevation 4 DOES Mark outliers and doubtful reports 5 YOU APPROVE Forecaster approves confirmation requests 6 USES A TOOL Send requests and read answers 7 CHECKS THE RESULT Is each doubtful report confirmed or dropped? If not: recompare with the new answers and send a secondrequest. Back to step 4. 8 DOES Build the map and table of totals 9 CHECKS THE RESULT Does the map fit radar and gauge patterns withoutartifacts? If not: review the points causing the artifact and markthem doubtful. Back to step 3. 10 YOU APPROVE Forecaster approves final totals 11 RESULT Final snowfall map and table
Read the steps as a list
  1. Storm ends or scheduled run
  2. Collect reports from all sources and remove duplicates
  3. Normalize periods and units, then compare each report with neighbors, radar estimates and elevation
  4. Mark outliers and doubtful reports
  5. Forecaster approves confirmation requestsThe agent waits here for your OK.
  6. Send requests and read answers
  7. Is each doubtful report confirmed or dropped?If not: recompare with the new answers and send a second request. Back to step 4.
  8. Build the map and table of totals
  9. Does the map fit radar and gauge patterns without artifacts?If not: review the points causing the artifact and mark them doubtful. Back to step 3.
  10. Forecaster approves final totalsThe agent waits here for your OK.
  11. Final snowfall map and table

How it decides

It compares each report to the median of nearby reports after elevation adjustment, and marks it doubtful beyond a set percentage difference unless radar supports it.

  • Mark a report doubtful when it differs by more than 40% from the local median without radar support
  • Keep a high mountain report if elevation explains the difference
  • Drop duplicates from the same observer and period
  • Use only 24 hour totals with the same period in the map

Make it yours

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

  • Doubtful threshold (default 40%)
  • Time period for totals
  • Sources included
  • Map style
  • Minimum reports per area

What keeps you in control

It always asks you first

  • Confirmation requests
  • Final totals

Hard limits

  • Never publish or issue totals
  • Keep removed reports in a log

It stops when

  • Done: totals approved
  • Stop: fewer than a minimum number of reports in an area

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 happensAfter a two-day storm, 214 reports were collected. The agent merged 19 duplicates and flagged 11 as doubtful, including a 38 inch total 70% above five neighbors. The observer confirmed it was a drift measurement and corrected it to 21 inches. The map then fit radar estimates within 10%. The forecaster approved final totals.

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