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.
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.
WeatherAPI returns wind speed at 10m reference height. Here’s why that causes real discrepancies and how to correct for it in your application.
WeatherAPI condition codes behave differently at night than during the day — here’s why, how we map METAR data to codes, and what it means for your app logic.
