Snow, sleet, rain — or all three? How WeatherAPI separates precip type from amount, where each breaks down, and which field to actually build logic on.
UV index from a weather API isn’t measured — it’s modeled. Here’s what drives that number, where it breaks down, and how to use it responsibly in your app.
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.
