Why Cloud Cover Percentages Are Lying to You (And What to Use Instead)
Cloud cover % from weather APIs is a model output, not a measurement. Here’s what the number actually means, where it breaks down, and what to query instead.
Cloud cover % from weather APIs is a model output, not a measurement. Here’s what the number actually means, where it breaks down, and what to query instead.
HRRR, NAM, and GFS aren’t interchangeable. Here’s how each model works, where each breaks down, and how to pick the right one for your app.
A practical guide to consuming weather alerts via API without duplicates, missed events, or alert fatigue. Real patterns for polling and caching alert data correctly.
WeatherAPI returns dew point, humidity, and feelslike separately. Here’s how to combine them to build a more honest comfort layer in your app.
Wind shear data from weather APIs is often misread or ignored. Here’s what the numbers mean, why they matter, and how to actually use them in your app.
Wet bulb temperature isn’t in most API responses — here’s the formula, why it matters for heat safety apps, and how to derive it from what WeatherAPI does return.
Forecast accuracy drops fast beyond 3 days. Here’s how to surface that uncertainty honestly in your app using WeatherAPI data and real model behavior.
Polling, WebSockets, and webhooks each have real trade-offs for weather data apps. Here’s how to pick the right one — with concrete latency and cost implications.
How to use WeatherAPI temperature, pressure, and humidity data to compute density altitude in real time — with code and the edge cases that bite pilots.
Learn how to use WeatherAPI forecast data — wind, wave height, pressure tendency — to programmatically flag dangerous offshore routing windows.