@article{961de531f11e4be794e363fe7c7bc9a1,
title = "Improving Wind Energy Forecasting through Numerical Weather Prediction Model Development",
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.",
keywords = "complex terrain, forecasting, model development, numerical weather prediction, WFIP2, wind energy",
author = "Olson, {Joseph B.} and Kenyon, {Jaymes S.} and Irina Djalalova and Laura Bianco and Turner, {David D.} and Yelena Pichugina and Aditya Choukulkar and Toy, {Michael D.} and Brown, {John M.} and Angevine, {Wayne M.} and Elena Akish and Bao, {Jian Wen} and Pedro Jimenez and Branko Kosovic and Lundquist, {Katherine A.} and Caroline Draxl and Lundquist, {Julie K.} and Jim McCaa and Katherine McCaffrey and Kathy Lantz and Chuck Long and Jim Wilczak and Robert Banta and Melinda Marquis and Stephanie Redfern and Berg, {Larry K.} and Will Shaw and Joel Cline",
note = "Publisher Copyright: {\textcopyright} 2019 American Meteorological Society.",
year = "2019",
doi = "10.1175/BAMS-D-18-0040.1",
language = "American English",
volume = "100",
pages = "2201--2220",
journal = "Bulletin of the American Meteorological Society",
issn = "0003-0007",
publisher = "American Meteorological Society",
number = "11",
}