snow_cm and snowfall_cm often disagree in WeatherAPI responses. Here’s why they measure different things and how to build display logic that handles both correctly.
Dew point jumps between forecast hours silently break heat index and comfort calculations. Here’s why it happens and how to smooth it correctly.
WeatherAPI returns solar data across forecast and current endpoints inconsistently. Here’s how to combine what you get into a usable irradiance picture.
WeatherAPI doesn’t expose cloud_base_m directly. Here’s how to derive a defensible ceiling estimate from dew point spread, cloud cover, and pressure fields.
WeatherAPI’s precip_type field can lie near 0°C. Here’s why, and how to build a robust precipitation phase detector from multiple API fields.
Forecast temps and actual observations diverge more than you’d expect. Here’s why it happens, when it matters, and how to detect it in your app.
wind_degree wraps at 360°. Naive averaging breaks near north. Here’s how to handle circular wind direction correctly in your app.
WeatherAPI can return a different METAR station between calls for the same location. Here’s why it happens and how to build a pipeline that handles it cleanly.
GFS, NAM, HRRR — the model name isn’t what determines forecast quality. The init time is. Here’s what that means for API-driven apps.
Giving each tenant their own WeatherAPI key creates quota, caching, and deduplication headaches. Here’s a better architecture pattern.
