Wind Data: Best Wind Datasets & Databases
What is Wind Data?
Wind data refers to information collected and recorded about the speed, direction, and other characteristics of wind. It is typically measured using anemometers and weather stations, and is crucial for various applications such as weather forecasting, climate studies, renewable energy planning, and aviation. Wind data provides valuable insights into wind patterns, which helps in understanding weather patterns, predicting storms, optimizing wind turbine placement, and ensuring safe flight operations.
Examples of Wind Data include wind speed, wind direction, and wind gusts. Wind Data is used for various purposes such as weather forecasting, renewable energy planning, and aviation operations. In this page, you’ll find the best data sources for wind data.
Best Wind Data Databases & Datasets
Here is Datarade's curated selection of top Wind Data. These trusted databases and datasets offer high-quality, up-to-date information.
CustomWeather | Historical Hourly Wind Data And Air Density Data At 100 Meters |Archived Back To 1980
Energy modelling - solar power and radiation + wind power forecasts
Axiom EMI Oil & Gas and Renewables Data (Global): Offshore Wind Database (Renewables)
CustomWeather API | Real-Time Weather Data | Current Conditions For 12,500 Global Weather Stations | Temperature Data I Rainfall Data I Wind Data I
CustomWeather API | Weather Forecasts | Hourly And Daily | 85,000 Global Weather Forecast Points | Forecasts Archived Back To 2012
Woodwinds Dataset for AI-Generated Music (Machine Learning (ML) Data)
Popular Use Cases
Wind Data plays a pivotal role in various business applications, offering valuable insights and opportunities across industries.
Frequently Asked Questions
What is Wind Data?
Wind data refers to information about the speed, direction, and variability of wind patterns in a specific location or region, typically collected over time.
How is Wind Data collected?
Wind data can be collected using various methods, including anemometers, remote sensing technologies such as LiDAR and radar, and numerical weather prediction models.
What is Wind Data used for?
Wind data is used in various industries for decision-making related to energy production, aviation, transportation, weather forecasting, and climate research, among others.
What’s a quality checklist for Wind Data?
A quality checklist for wind data includes factors such as accuracy, reliability, time and space resolution, relevance to the decision, uncertainty and risk, integration with other data, and regulatory compliance.
How is Wind Data priced?
The pricing of wind data can vary depending on factors such as data quality, frequency of updates, spatial resolution, and the specific application or industry it serves. Data marketplaces such as Datarade can help customers compare and choose the most suitable pricing plan for their needs.