- 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.
Historical Time Series
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, MERRA-2 ERAI, ERA5 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.
Typical Year VMM
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.