Supercomputer models offer a more reliable wind forecast
A beautiful and diverse ecosystem, the Columbia River Gorge sports extreme wind conditions, making it an ideal resource for wind energy. Courtesy: Cacophony.
28 Feb 2017 - ScienceNode reports on how the Mira supercomputer enables higher-resolution models and more accurate forecasts. According to ScienceNode NOAA's National Center for Environmental Prediction currently runs two hourly-updating atmospheric forecast models at grid spacing of 13 km and 3 km that can only simulate weather on flat terrain. In order to resolve wind features in more complex topography like the Gorge, models with much finer 750 m grid spacing are needed, a 16-fold increase.
However, within one month more data will be available: "At the end of the field data collection period in March 2017, scientists will simulate an entire year of weather conditions with an emphasis on wind conditions in the Gorge, comparing the existing 3 km control model with a new model with improved physical parameters." For details see the ScienceNode article.