Time Series

Time Series

Our time series data sets allow you to better understand the wind resource and energy production potential of your site and to conduct measure-correlate-predict (MCP) analyses.
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.

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.

Sample Long Term Time Series

Sample WRF

Typical Year VMM

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.

Sample Typical Year

Data Summary