Ambee Global Air Quality Data - Historical, Present Conditions, and Forecast

Ambee's Global Air Quality Data provides global access to air quality conditions to support faster, more confident decision-making. Whether you are building health tech applications, training AI and machine learning models, managing logistics and operational risk, running ESG compliance workflows, developing connected device platforms, or powering longitudinal health and epidemiological research, Ambee provides a single source of global AQ data with seamless access to past, present, and forecasted conditions. The dataset is sourced from regulatory ground stations, fused with satellite observations, and processed through a multi-stage pipeline, standardising all inputs into a unified data stream with no downstream cleaning or alignment required. Gaps are filled using region-specific calibration models, anomaly detection, and interpolation, ensuring the highest level of accuracy. The parameters include AQI, PM2.5, PM10, NO2, SO2, CO, and O3, unified AQI scoring normalized across pollutants and jurisdictions and geography-adjusted risk outputs. The dataset plugs directly into any existing analytics stack, forecasting models, or AI/ML pipelines. No preprocessing required on your end. **What's included in the sample** This sample dataset provides access to Ambee air quality data across 9 cities spanning key global markets. Data is delivered in hourly and daily formats and includes 180 days of rolling history, present conditions, and a 4 -day forecast. 1. New York, USA 2. San Francisco, USA 3. London, England 4. Frankfurt, Germany 5. Paris, France 6. Bengaluru, India 7. Tokyo, Japan 8. Sydney, Australia 9. Cairo, Egypt ***Note -** Ambee air quality data is not limited to these cities and time frames (historical, forecast). The full dataset covers any location across the globe, mappable to any lat / lon or geographically bounded areas such as ZIP or Postal Code, DMA, MSA, or user-defined boundaries.* **What Ambee offers:** - A structured historical archive of hourly and daily air quality records, present conditions, with forward forecast windows extending up to 96 hours or a full 4 days. - Supported parameters include AQI, PM2.5, PM10, NO2, SO2, CO, and O3 and a uUnified AQI score, normalized across pollutants and jurisdictions, with geography-adjusted risk outputs. - Mappable to any precise lat / lon or geographically bounded areas such as ZIP or Postal Code, DMA, MSA, or user-defined boundaries

原始信息汇总

数据集名称

Ambee Global Air Quality Data - Historical, Present Conditions, and Forecast

提供方

Ambee

定价与访问

• 价格：免费
• 访问权限：无限访问

数据集概述

提供全球统一的、分析级空气质量数据，覆盖历史、当前及预报条件，支持任何地点的空气质量查询。数据来源包括监管地面站，融合卫星观测，经过多阶段管道处理，标准化为统一数据流，无需下游清洗或对齐。使用区域特定校准模型、异常检测和插值填补数据空白，确保高准确性。

数据参数

包含以下指标：

• AQI（空气质量指数）
• PM2.5
• PM10
• NO2
• SO2
• CO
• O3
• 统一AQI评分（跨污染物和司法管辖区标准化）
• 地理调整风险输出

数据覆盖范围

• 样本数据：涵盖9个全球关键城市（纽约、旧金山、伦敦、法兰克福、巴黎、班加罗尔、东京、悉尼、开罗），提供每小时和每日格式，包含180天滚动历史数据、当前条件和4天预报。
• 完整数据集：支持全球任意地点，可映射到精确的经纬度或地理边界区域（如邮政编码、DMA、MSA或用户定义边界）。

数据更新与时间覆盖

• 刷新频率：每小时
• 时间覆盖：按小时提供

交付方式

安全共享（Secure share）

适用业务场景

• 广告与营销：了解污染驱动的消费者行为，优化受众定位和活动时机。
• 需求预测：结合历史交易数据预测污染驱动的需求，优化库存规划。
• 制药与生命科学：用于临床试验规划，考虑环境暴露因素。
• 出行与汽车：支持车内空气质量管理和清洁路线规划。
• 数字健康与健康管理：为健康监测提供环境上下文，个性化户外活动建议。
• 智能家居与连接设备：驱动空气质量感知的自动化（如空气净化器、HVAC系统）。

使用示例

1. 查询多伦多未来4天AQI和PM2.5预报：从AMBEE_SF.AQ.AQ_FORECAST表中检索指定城市和日期范围的数据。
2. 分析东京过去180天PM2.5和峰值AQI：从AMBEE_SF.AQ.AQ_ACTUALS表中获取历史数据。
3. 比较旧金山和纽约当前AQI条件：从AMBEE_SF.AQ.AQ_ACTUALS表中对比两个城市的数据。

相关数据集

• Ambee Global Pollen Data（免费试用，按需提供）
• Ambee Global Weather Data（免费试用，按需提供）

联系信息

• 销售：[e-mail]
• 支持：[e-mail]

分类

• AI & ML
• Demand Forecasting
• Environment
• Health and Life Sciences

搜集汇总

背景与挑战

背景概述

该数据集整合了全球空气质量的历史记录、实时状况及未来4天预报，源自监管地面站与卫星观测数据，经过标准化处理，提供AQI、PM2.5、PM10、NO2、SO2、CO、O3等参数。数据可直接用于健康技术、AI/ML模型、物流管理等领域，无需额外预处理。示例样本覆盖纽约、伦敦等9个关键市场城市，支持按经纬度或地理边界灵活查询。