Australian Bureau of Meteorology Weather Data 30min Observations

# About Omnata Weather Data

Omnata is one of the most trusted names on the Snowflake Marketplace with a broad catalogue of native apps for data replication to and from Snowflake.

## Weather data sourced from the Australian Bureau of Meteorology

Omnata saves you weeks of admin, ETL work and data-pipeline maintenance delivering reliable datasets to your Snowflake account.The datasets are sourced directly from the Bureau, the most reliable and trusted source of weather data in Australia. Data is normalized from various formats into uniform structured tables with accompanying metadata.

## About this dataset

This is the production version of the BOM weather data contains:

- Data for Australian Automated Weather Stations
- 30-minute observations updated daily
- Historical data for all-time

The dataset has the standard weather observations collected by BOM automated stations including air temperature, humidity, wind direction, wind speed, pressure, rainfall, clouds and coastal observations. *Actual measure availability varies across time stations and time periods.

The total list of BOM sites includes many that only measure certain observations; like just rainfall or wind. These single measurement stations are not included in this dataset.

## Dataset availability

If you would like to activate a production version of this dataset, you can request it through this listing. If you are looking for a different BOM dataset, [get in touch with us](https://omnata.com/contact-us), to discuss your requirements.

原始信息汇总

Australian Bureau of Meteorology Weather Data 30min Observations

数据集概述

• 数据提供商: Omnata
• 数据来源: 澳大利亚气象局(BOM)
• 数据类型: 气象站观测数据
• 数据范围: 全澳大利亚
• 更新频率: 每日更新
• 历史数据: 包含所有历史记录
• 观测频率: 30分钟一次
• 起始日期: 2025年8月1日

数据内容

• 观测指标:
  • 气温
  • 湿度
  • 风向
  • 风速
  • 气压
  • 降雨量
  • 云量
  • 沿海观测数据
• 注意事项: 实际测量数据在不同站点和时间段可能有所差异

业务应用场景

1. 需求预测

   • 分析历史降雨模式
   • 预测门店客流量、活动参与度或产品需求

2. 位置数据增强

   • 地理定位气象站
   • 了解区域历史天气模式

试用信息

• 试用内容: 圣诞岛单个气象站数据样本
• 查询示例: sql SELECT DATE_TRUNC(DAY, aifstime_utc) AS day, AVG(rain_hour) AS average_rainfall FROM PRODUCTION.OBSERVATIONS GROUP BY DATE_TRUNC(DAY, aifstime_utc) ORDER BY day;

付费版本功能

• 应用示例: 查询门店附近气象站数据
• 查询示例: sql with my_stores as ( select Randwick as name, ST_MAKEPOINT(151.25033308953127, -33.90524692309469) as coordinates union all select Coffs Harbour as name, ST_MAKEPOINT(153.09466937226185, -30.31210323572865) as coordinates union all select Tamworth as name, ST_MAKEPOINT(150.9085959516758, -31.086023403107394) as coordinates union all select Geelong as name, ST_MAKEPOINT(144.3627943070097, -38.09552466114456) as coordinates union all select Geraldton as name, ST_MAKEPOINT(114.6237308534834, -28.744853057074362) as coordinates union all select Darwin as name, ST_MAKEPOINT(130.85879927745717, -12.39261215557275) as coordinates union all select Devonport as name, ST_MAKEPOINT(146.34671874624073, -41.17074566569071) as coordinates )

分类标签

• 需求预测
• 位置数据增强
• 天气

联系方式

• 销售: [e-mail]
• 支持: [e-mail]

其他信息

• 地理覆盖范围: 澳大利亚(按经纬度)
• 数据刷新频率: 每日
• 法律条款: 标准条款

AI搜集汇总

背景与挑战

背景概述

该数据集提供澳大利亚全境自动气象站的30分钟间隔气象观测数据，每日更新并包含历史记录。数据覆盖多种气象指标（如温度、湿度、降雨等），但仅包含综合观测站点（排除单一指标站点）。