SAMPLE Global Weather Data - Historical | Real-Time | Forecast | Climatology

Ambee’s global weather dataset provides a continuum of data that flows seamlessly from the year 1995 to present and into the forecast with forward forecast views ranging from one hour all the way out to 46 days. All data is available in both hourly and daily format and daily data includes min. and max. values, and daily averages. The Ambee global weather dataset was developed using direct observations, sensors, satellite imagery, reanalysis model outputs, and more, to deliver a global dataset that is harmonized and calibrated for use across any analytics or modeling workload. Parameters include core atmospheric variables such as temperature, feels like temperature, humidity, dew point, wind speed and direction, precipitation, both rain and snow, cloud cover, visibility, solar radiation, UV index, and pressure. Additional derived fields are available upon request. Gaps in data are intelligently filled using companion datasets and climatological data. cross-station substitution, and meteorological context modeling. All values are passed through Ambee’s multi-stage quality pipeline to ensure long-term temporal integrity and cross-region comparability. This dataset is ideal for machine learning training, demand forecasting, infrastructure planning, ESG reporting, and climate-related risk modeling. Clients across pharmaceuticals, retail, agriculture, and finance use Ambee’s global weather data to optimize operations, mitigate weather risk, and create predictive and prescriptive models to improve overall business performance.