GFS and HRRR don’t update on the hour. Here’s how model run cycles affect which forecast data you’re actually getting back — and how to build around it.
What actually happens when your weather API request lands in a data desert — and how to build around sparse station coverage without serving garbage to your users.
Wind chill and heat index are not interchangeable. Here’s how to build logic that picks the right feels-like formula from WeatherAPI data — and when both break down.
Condition codes flag thunderstorms too late for most apps. Here’s how to use pressure trend, dewpoint, and humidity together to catch risk early.
WeatherAPI returns two distinct snowfall fields that often diverge. Here’s what each actually measures, why they differ, and how to use them correctly.
Single weather fields mislead more than you’d expect. Here’s how to combine humidity, wind, visibility, and condition codes to detect real-world hazard states.
Elevation silently skews temperature, pressure, and precip-type readings. Here’s how to detect and correct for it when building on WeatherAPI data.
The current weather your API returns may be 90 minutes old. Here’s how obs_time works, when to trust it, and how to handle stale observations in production.
A deep dive into WeatherAPI’s air quality fields — what pm2_5, us-epa-index, and gb-defra-index actually measure, where they come from, and when not to trust them.
gust_kph and wind_kph measure fundamentally different things. Here’s what that means for thresholds, alerts, and real-world decisions in your app.
