Using AI (ChatGPT) to Interpret Windy Data – Has Anyone Tried This Approach?
-
Hi everyone,
I’m an enthusiastic user of Windy and really appreciate the level of detail and visualization it provides. As someone who's not a professional meteorologist but deeply interested in understanding atmospheric data, I recently experimented with combining Windy’s tools with ChatGPT (AI language model) – and the results were quite interesting.
Here’s how I’ve used ChatGPT alongside Windy:
To understand complex layers and parameters, like CAPE, lifted index, dew point, jet stream behavior, etc. ChatGPT helps explain these in layman's terms.
To analyze API responses – I’ve used Windy’s API and then asked ChatGPT to help parse or visualize the JSON data.
To generate summaries of weather situations – for example, describing how a pressure system is developing based on Windy maps.
While Windy is powerful on its own, having an AI assistant to guide you through the data can make it more accessible, especially for people who aren't from a meteorological background.
My questions to the community:
Has anyone here tried using ChatGPT or any AI tools to support their use of Windy?Do you think AI could help users better interpret weather models, or even assist with plugin development?
Are there any ethical or accuracy concerns when using AI-generated interpretations in serious weather discussions?
I’d love to hear your experiences or thoughts. This might open up a whole new layer of accessibility for non-experts like myself!
Boogie Beckman
-
@Boogie-Beckman Hi there! Would you be able to share some prompts that you found helpful while using ChatGPT? Are there specific outcomes you are looking for, e.g. historical data tracking and logging, trending, hourly/daily/weekly predictive modeling assistance?
It would be really cool to build out an AI assisted model with predictive analysis based around weather data. Windy uses a weather archive that dates back to 2012 (I believe?), so only a decade of data to base this off of for trending markers, but still a good start!
I certainly believe the amount of data available from all weather data providers would benefit predictions and modeling across the board.
-
@erickessendrup said in Using AI (ChatGPT) to Interpret Windy Data – Has Anyone Tried This Approach?:
Windy uses a weather archive that dates back to 2012 (I believe?), so only a decade of data to base this off of for trending markers, but still a good start!
Where did you find this? I can't imagine where you found this information.
Windy.com only visualizes weather models and doesn't compare with archived data. Or maybe I'm missing something.
As far as I remember, there are only 2 layers expressed as anomalies compared to normal climate data:- Extreme forecast by ECMWF.
- Drought anomaly provided by InterSucho.
The comparison is done by the provider, not by Windy.
-
@idefix37 I was mistaken, it is the windy.app not this application that has the archived weather data.
-
I've played around with both Gemini and ChatGPT but I've just taken screenshots from Windy and then asked them to analyse what they see and what sort of weather can be expected. Can be quite interesting.
How exactly do you do it ? Do you mind sharing the prompt you type in ?
