Relative humidity alone misleads. Here’s how to derive VPD and absolute humidity from WeatherAPI data, and when each one actually matters for your use case.
Build a real-time heat stress index from WeatherAPI hourly data using WBGT approximation, humidity, and solar load — with working Python code.
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.
