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.
hourly_precip_mm rarely sums to daily_precip_mm in weather API responses. Here’s why the windows don’t align and how to handle it in your code.
vis_km in WeatherAPI responses isn’t what most developers assume. Here’s what the field actually represents and how to avoid the common mistakes.
WeatherAPI returns both local timestamps and epoch values — here’s how they interact with DST, which one to trust, and where UTC-naive code quietly breaks.
WeatherAPI returns moon phase, moonrise, and moonset — but using them correctly requires knowing what the fields actually represent. Here’s how to do it right.
WeatherAPI doesn’t return freezing level altitude directly. Here’s the exact method to derive it from temp, dew point, and lapse rate — with real code.
Raw pressure_mb values aren’t useful alone. Learn how to use rate-of-change logic on WeatherAPI forecast data to detect approaching storms before they arrive.
Fog detection via weather API is trickier than it looks. Here’s how to combine visibility, dew point spread, and condition codes reliably in your app.
WeatherAPI condition codes are not a direct METAR passthrough. Here’s what the mapping actually does, where it loses fidelity, and when raw data matters.
