Articles about Resource Assessment and Characterization

Weather models have difficulty forecasting the cold, near-ground temperatures in cold pools, resulting in subtle errors that have a big impact on the magnitude and timing of wind power predictions. A new method can cut wind speed errors by as much as 20%.

Maps provide easy-to-understand snapshots of wind resources.

Suite of open-source, HPC-powered physics codes allows engineers to do everything but collect their mail inside a virtual wind power plant.

First-ever simulation could lead to vital understanding of wind power plant performance.

$1.3-million upgrade extends lidar reach and data recovery rate; provides more accessible information.

Accurate modeling of interactions between turbines, turbulence, and wakes indicates potential for lower wind plant costs and improved efficiency.

To improve wind forecast accuracy, WETO funded the second Wind Forecast Improvement Project (WFIP2).

WETO commissioned Pacific Northwest National Laboratory to deploy two research buoys off the New Jersey and Virginia coasts.

As the contribution of wind energy to U.S. electricity generation grows, so does the importance of accurate forecasts for wind power production.

Offshore wind turbines on the Atlantic coast (as well as the Gulf Mexico) have several challenges to contend with—including hurricanes.