Backtesting models against historical weather data is trickier than it looks. Here’s how to pull it correctly, avoid common traps, and not burn through quota.
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.
Current, forecast, or history? Choosing the wrong WeatherAPI endpoint silently wastes quota and returns stale data. Here’s how to pick correctly.
WeatherAPI’s astronomy endpoint returns more than sunrise/sunset. Here’s how to extract civil, nautical, and astronomical twilight for real use cases.
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.
WeatherAPI returns isDay, sunrise, and sunset as separate fields. Here’s why they diverge, when each breaks down, and which to use for what.
Snow depth fields in weather API responses are tricky. Here’s how to build a reliable accumulation tracker using WeatherAPI data, with real caveats.
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.
