Improving Wind Energy Forecasting through Numerical Weather Prediction Model Development

Joseph B. Olson, Jaymes S. Kenyon, Irina Djalalova, Laura Bianco, David D. Turner, Yelena Pichugina, Aditya Choukulkar, Michael D. Toy, John M. Brown, Wayne M. Angevine, Elena Akish, Jian Wen Bao, Pedro Jimenez, Branko Kosovic, Katherine A. Lundquist, Caroline Draxl, Julie K. Lundquist, Jim McCaa, Katherine McCaffrey, Kathy LantzChuck Long, Jim Wilczak, Robert Banta, Melinda Marquis, Stephanie Redfern, Larry K. Berg, Will Shaw, Joel Cline

Research output: Contribution to journalArticlepeer-review

94 Scopus Citations

Abstract

Operational numerical weather prediction models are being developed to improve wind energy forecasts by leveraging a multiscale dataset from the Second Wind Forecast Improvement Project field campaign in the U.S. Northwest.

Original languageAmerican English
Pages (from-to)2201-2220
Number of pages20
JournalBulletin of the American Meteorological Society
Volume100
Issue number11
DOIs
StatePublished - 2019

Bibliographical note

Publisher Copyright:
© 2019 American Meteorological Society.

NREL Publication Number

  • NREL/JA-5000-72552

Keywords

  • complex terrain
  • forecasting
  • model development
  • numerical weather prediction
  • WFIP2
  • wind energy

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