Ambient Weather Network Global Historical Weather Data

This offering includes daily and hourly weather parameters for the past 10+ years. The dataset features over 100 weather parameters, allowing for advanced machine learning and modeling to explore weather correlations and impacts. Ambient Weather Network provides an extensive global historical weather dataset, perfect for businesses seeking detailed weather insights.

Tables Include

- Daily Historic Weather Data
- Hourly Historic Weather Data
- Customizable Minutely Weather Data

Sample Fields

- Date
- Latitude and Longitude
- Temperature
- Feels Like
- Precipitation
- Dew Point
- Heat Index
- Humidity
- Solar Radiation
- Rain
- Wind Chill/Speed/Gust/Direction
- Daily Min/Max/Avg.

**The Ambient Weather Network (AWN) provides extensive access to global historical weather data, with full customization capabilities tailored to meet diverse user needs.** Whether you need granular weather details for precise latitude and longitude points or generalized weather summaries by area—such as city, state, zip code, country, or continent—AWN Data delivers accurate, actionable insights.<br/><br/>**DATA SAMPLE**<br/>Access a piece of Ambient Weather Network's global weather network including daily and hourly historical weather data. This sample contains 1 week's worth of historical data for 10 major cities.

US Cities

- Chicago, USA
- New Orleans, USA
- New York, USA
- Pittsburgh, USA
- Seattle, USA

International Cities

- Amsterdam, Netherlands
- Dubai, United Arab Emirates
- Paris, France
- Singapore, Singapore
- Vancouver, Canada

AWN’s robust dataset empowers data scientists and analysts to refine machine learning models, explore innovative approaches, and uncover weather-related patterns. Its hyper-localized data allows organizations to study both microclimate impacts and large-scale trends, helping businesses understand how weather influences their operations. AWN’s offerings enhance forecasting capabilities, driving informed decision-making with weather-based insights.

By leveraging AWN's historical weather data, businesses can unlock strategic advantages. These insights improve operational efficiency, reduce risks, increase safety, and optimize performance. With accurate records of past weather events, organizations can better mitigate liabilities, forecast potential impacts, and enhance overall productivity.

搜集汇总

背景与挑战

背景概述

该数据集提供全球范围10年以上的历史天气数据，包含100多个气象参数，涵盖日级、小时级和分钟级粒度，支持按经纬度或行政区域定制。适用于机器学习模型训练、天气相关性分析和商业决策优化。