Time series come in two types:
- Historical time series spanning periods from 10 years to over 35 years, depending on the source.
- Typical year virtual met masts (TY-VMM) containing a sample of 365 days scaled to our 200-meter resolution mean wind maps.
All are provided in a universal CSV format that can be imported directly into a spreadsheet, Openwind, Windographer, and other plant design and resource assessment software.
Main Uses: Primarily in the Measure-Correlate-Predict (MCP) process to establish long-term wind conditions where short-term measurements are already available from a tower or remote-sensing system.
Data Description: Our historical time series are available in two varieties:
- Global reanalysis data from three public sources, MERRA, ERAI, and CFSR, covering anywhere in the world and spanning 1979 to the present.
- WRF data produced on our high-performance computing cluster using the Weather Research and Forecasting (WRF) model initialized by ERAI. Available anywhere in the world, and spanning from 10 years ago to the present.
Main Uses: Our TY-VMM data is used to estimate the wind resource and energy production potential of a site in a preliminary way where on-site measurements are not available.
Data Description: The data is produced by the Mesoscale Atmospheric Simulation System (MASS) in 10 KM runs initialized by NCEP/NCAR reanalysis for a sample of 365 days from 15 years (1997-2012). The winds are scaled to our 200 m mean speed maps.