vinddata

Vinddata refers to measurements, observations, and datasets describing wind characteristics such as speed, direction, gusts, and turbulence. It is used in meteorology, climate research, wind energy, aviation, and maritime operations. Data can be collected directly from ground-based observations or produced by atmospheric models and remote sensing systems.

Ground stations use anemometers and wind vanes to measure horizontal wind speed and direction at standard heights, often 10 m or 30 m above ground. Sonic anemometers measure three-dimensional wind components and turbulence. Remote sensing methods such as LIDAR and SODAR profile wind across vertical heights, while weather radars and satellites provide broader context. Numerical weather prediction models generate forecast wind fields that complement observational data.

Vinddata includes time stamps, geographic coordinates, measurement height, and units (commonly meters per second or knots) with various averaging intervals (1-minute, 10-minute, hourly). Data may be presented as time series, vertical profiles, or gridded fields (for example in NetCDF format). Data quality and consistency are maintained through calibration, quality control, and homogenization to correct sensor biases and fill gaps. Interpolation and data assimilation techniques may be used to integrate wind observations into models.

Applications span operational forecasting, wind-energy site assessment and turbine power estimation, flight planning, and climate studies. Accessibility ranges from national meteorological agencies and reanalysis products to specialized wind-energy datasets maintained by operators and research institutions. Vinddata remains essential for understanding atmospheric dynamics and supporting energy and transport decision-making.