AI Included

Yes we use AI, ChatGpt, Grammarly, GFS, ECMWF, ACCESS... But we know how to use it. We don't use it like some do without understanding it nor as it seems without knowing it.

🤖 AI in Weather — it’s been here longer than most people realise

A lot of “forecast pages” have been sharing AI-driven content for years — model maps, automated guidance, algorithm-built charts — then adding a caption on top. Often it’s not even their AI. It’s someone else’s reports reworded for a video or reposted with commentary, without properly checking it against observations or other models and other knowledge.

What changed recently wasn’t AI.

What changed was access and verification.

When chat-based AI arrived that can analyse images and help test interpretations, some people got nervous — because now you can actually interrogate the data, not just repost the most dramatic panel and call it a forecast.

Wally's own isohyetal rainfall map (filled isobands from numerical models).

Rainfall values are grouped into colour bands of equal totals, helping highlight broad rain areas rather than exact point totals. Great for spotting trends and risk areas — not a guarantee of what falls in your backyard.

✅ What we do at Wally’s Weather is different:

• We use tools like Windy as a viewer, then we check what we’re seeing (timing, location, realism).

• We cross-check across multiple models, not just one scary run.

• We compare with real-world signals (satellite/radar/observations) and then translate it into plain-English Wally-speak so it’s useful.

• We also use writing QA tools (yes, including Grammarly) — the same kind of checking I had to do as a post-grad course writer before anything went to QA. Clear writing matters when people are making decisions.

The goal isn’t clickbait.

It’s clarity: what’s likely, what’s uncertain, and what it means for you locally.

AI doesn’t replace thinking.

It rewards people who verify, compare, and explain.

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🔗 References (plain language):

How computer models make forecasts (Met Office):

https://www.metoffice.gov.uk/weather/learn-about/how-forecasts-are-made/computer-models

NOAA JetStream – what numerical weather prediction is:

https://www.noaa.gov/jetstream/numerical-weather-prediction/what-is-a-numerical-weather-prediction-model

BoM numerical weather prediction (Australia):

https://www.bom.gov.au/nwp/

What GIS is (why data + mapping skills matter):

https://www.esri.com/en-us/what-is-gis/overview

What Grammarly is (writing QA support):

https://www.grammarly.com/