Public datasets: weather and climate
Increase the value of your analytics and AI with public weather and climate datasets.
Add public weather and climate datasets to your workflow
The impacts of weather and climate are felt by every industry, every day. Google Cloud’s Public Datasets Program can help you better understand and predict that impact by providing access to some of the most valuable global public weather and climate datasets, at no cost.
Instant access to massive data archives
The Google Cloud Public Datasets Program hosts petabytes of unstructured datasets in Cloud Storage, including NEXRAD Level 2, NEXRAD Level 3, Landsat, High Resolution Rapid Refresh data archives, and more. You can access these archives instantly and stay focused on what matters most—your analytics.
Unlock new insights in your existing data
Combining public datasets with your proprietary data can help you unlock new insights and take your work to another level. You could determine the impact of temperature or cloud cover on sales by region, predict which locations are most vulnerable to severe storms or poor air quality, and more, with public weather data available in BigQuery.
Featured datasets
Use cases
Retail
Retailers can better understand how weather impacts their sales so they can be more prepared for changes in demand and take appropriate actions, like ordering inventory more efficiently to save costs or changing store layouts to help customers find what they need faster.
Predicting retail sales with NOAA’s weather data
Understanding the impact of hurricanes on retail supply chains
Measuring the environmental impact of the fashion industry
Transportation
Weather and climate datasets can help companies understand and predict the impact on their transportation and logistics operations to reduce delays, transport temperature-sensitive products, and more strategically choose future locations to improve efficiency.
Improving operational efficiency at airports with lightning data
Connected vehicles as air quality sensors: Powered by BigQuery GIS (Cloud Next ’19)
Understanding the impact of hurricanes on retail supply chains
Research
Training an ML model using weather and climate observations is made even easier. With immediate access to both archived and near real-time data from radar and satellite products, you can get started quickly and go from raw data to predictions faster.
Four seasons in one post: using Google BigQuery to explore weather effects on NYC
Using Colab and weather data to get more out of BigQuery
How to process weather satellite data in real time in BigQuery
Resources
Public datasets one-pager
Supporting geospatial analytics with GCP public datasets
Geospatial and ML-based analytics
Public datasets and social impact
Kaggle datasets
Earth Engine datasets
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Public datasets: weather and climate
Discover new insights in your data using public weather and climate data.