wind_dir and wind_degree look redundant until they disagree. Here’s what each field actually represents and how to use both without getting burned.
WeatherAPI’s feelslike_c blends wind chill and heat index — but the thresholds and edge cases matter. Here’s what’s actually being calculated and where it breaks.
precip_type looks simple until you’re near 0°C. Here’s why the field misleads, when to distrust it, and what to cross-check it against.
WeatherAPI returns solar radiation data — but what does it actually measure, where does it come from, and how should you use it in real applications?
Caching weather API responses saves money and reduces latency — but done wrong, it serves stale forecasts at exactly the wrong time. Here’s how to get it right.
Snow, sleet, rain — or all three? How WeatherAPI separates precip type from amount, where each breaks down, and which field to actually build logic on.
UV index from a weather API isn’t measured — it’s modeled. Here’s what drives that number, where it breaks down, and how to use it responsibly in your app.
Cloud cover % from weather APIs is a model output, not a measurement. Here’s what the number actually means, where it breaks down, and what to query instead.
HRRR, NAM, and GFS aren’t interchangeable. Here’s how each model works, where each breaks down, and how to pick the right one for your app.
A practical guide to consuming weather alerts via API without duplicates, missed events, or alert fatigue. Real patterns for polling and caching alert data correctly.
