Live data updates every 10 mins from OpenWeatherMap API
Weather data displayed on AQIFinder.com is calculated using advanced meteorological models and real-time sensor observations sourced from global open data networks. Each parameter — temperature, humidity, wind, and air pressure — is derived through both satellite measurements and ground-based weather stations.
Temperature is recorded in degrees Celsius (°C) and represents the air’s thermal energy. Most sensors used in weather networks rely on thermistors or infrared sensors placed inside radiation-shielded housings to prevent direct sunlight interference. Data is updated every 10–15 minutes to reflect near real-time conditions.
Relative humidity (RH%) indicates the percentage of moisture in the air compared to its maximum capacity at a given temperature. It is computed using the formula:
RH = (Actual Vapor Pressure / Saturation Vapor Pressure) × 100
Modern humidity sensors use capacitive or resistive detection — measuring changes in electrical properties caused by moisture.
Atmospheric pressure (measured in hPa or millibars) is a key variable used to predict weather patterns. It’s measured by barometers that detect the weight of air above the sensor. Low pressure typically indicates storms or rain, while high pressure brings clear skies.
Pressure readings are often adjusted to sea level using:
P0 = P × exp(g × h / (R × T))
Where P₀ = sea-level pressure, P = observed pressure, h = altitude, T = temperature, g = gravity, R = gas constant.
Wind speed is determined by anemometers that measure air movement in meters per second (m/s) or kilometers per hour (km/h). Wind direction is calculated using a vane that aligns with airflow. Combining both helps meteorologists understand weather fronts and pollutant dispersion patterns.
Satellite imaging and radar systems are used to estimate cloud density and rainfall rates. Precipitation levels are measured by tipping-bucket rain gauges, which record every drop’s impact, translating it into millimeters of rain per hour.
Weather and air quality are deeply interconnected. Temperature inversions, humidity, and wind patterns can significantly affect pollutant concentration. That’s why AQIFinder.com combines both weather and AQI data to help users understand how air and climate interact in real time.
Weather data is primarily obtained from globally recognized networks such as:
These datasets are processed through API-based integrations and displayed dynamically on the AQIFinder interface.
Weather forecasting is a complex science combining real-time sensor data, mathematical modeling, and satellite imagery. By aggregating open-source APIs and validated measurements, AQIFinder.com aims to make this information easily understandable and accessible to the public — empowering users to make safer, smarter daily decisions.