Visibility fields in weather APIs behave differently after dark. Here’s why vis_km breaks down at night and how to build fog detection that accounts for it.
humidity_pct alone tells you almost nothing about water demand. Here’s how to derive ET₀ estimates from WeatherAPI’s hourly fields — and where the math breaks down.
Combining WeatherAPI history and forecast responses by timestamp? Here’s where epoch fields break, how timezones trap you, and the right way to join them.
feelslike_c can mislead at high elevation. Here’s why wind chill and heat index break down above ~2000m, and how to flag it in your app.
Passing city names to WeatherAPI? Here’s what actually happens behind the scenes — and why lat/lon coordinates almost always give you better results.
WeatherAPI returns precip_mm of 0.0 even during light rain. Here’s why trace thresholds exist, what they mean for your logic, and how to handle it correctly.
Weather alert deduplication isn’t just checking IDs. Here’s why alert polygons overlap, IDs reset, and what you actually need to store to avoid duplicate notifications.
Processing HRRR and GFS GRIB2 files efficiently isn’t just about parsing — chunk size and field selection decisions dominate real-world ingestion performance.
WeatherAPI’s condition codes can flip between when a forecast is issued and when that hour arrives. Here’s why, and how to build around it.
WeatherAPI’s daily avgtemp_c, maxtemp_c, and mintemp_c aren’t raw observations — here’s exactly how they’re derived and where they silently go wrong.
