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 Lantz; Chuck Long; Jim Wilczak; Robert Banta; Melinda Marquis; Stephanie Redfern; Larry K. Berg; Will Shaw; Joel Cline

doi:10.1175/BAMS-D-18-0040.1

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 Lantz

Chuck Long, Jim Wilczak, Robert Banta, Melinda Marquis, Stephanie Redfern, Larry K. Berg, Will Shaw, Joel Cline

Research Applications Lab

University of Colorado Boulder
National Oceanic and Atmospheric Administration
Science and Technology Corporation, Hampton
National Center for Atmospheric Research
Lawrence Livermore Natl. Laboratory
National Renewable Energy Laboratory
Vaisala
Pacific Northwest National Laboratory

Research output: Contribution to journal › Article › peer-review

131 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 language	English
Pages (from-to)	2201-2220
Number of pages	20
Journal	Bulletin of the American Meteorological Society
Volume	100
Issue number	11
DOIs	https://doi.org/10.1175/BAMS-D-18-0040.1
State	Published - 2019

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10.1175/BAMS-D-18-0040.1

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Olson, J. B., Kenyon, J. S., Djalalova, I., Bianco, L., Turner, D. D., Pichugina, Y., Choukulkar, A., Toy, M. D., Brown, J. M., Angevine, W. M., Akish, E., Bao, J. W., Jimenez, P., Kosovic, B., Lundquist, K. A., Draxl, C., Lundquist, J. K., McCaa, J., McCaffrey, K., ... Cline, J. (2019). Improving wind energy forecasting through numerical weather prediction model development. Bulletin of the American Meteorological Society, 100(11), 2201-2220. https://doi.org/10.1175/BAMS-D-18-0040.1

@article{6cd2c2ec465a4508ae8307ca5d559c18,

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.",

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 = "English",

volume = "100",

pages = "2201--2220",

journal = "Bulletin of the American Meteorological Society",

issn = "0003-0007",

publisher = "American Meteorological Society",

number = "11",

}

Olson, JB, Kenyon, JS, Djalalova, I, Bianco, L, Turner, DD, Pichugina, Y, Choukulkar, A, Toy, MD, Brown, JM, Angevine, WM, Akish, E, Bao, JW, Jimenez, P, Kosovic, B, Lundquist, KA, Draxl, C, Lundquist, JK, McCaa, J, McCaffrey, K, Lantz, K, Long, C, Wilczak, J, Banta, R, Marquis, M, Redfern, S, Berg, LK, Shaw, W & Cline, J 2019, 'Improving wind energy forecasting through numerical weather prediction model development', Bulletin of the American Meteorological Society, vol. 100, no. 11, pp. 2201-2220. https://doi.org/10.1175/BAMS-D-18-0040.1

TY - JOUR

T1 - Improving wind energy forecasting through numerical weather prediction model development

AU - Olson, Joseph B.

AU - Kenyon, Jaymes S.

AU - Djalalova, Irina

AU - Bianco, Laura

AU - Turner, David D.

AU - Pichugina, Yelena

AU - Choukulkar, Aditya

AU - Toy, Michael D.

AU - Brown, John M.

AU - Angevine, Wayne M.

AU - Akish, Elena

AU - Bao, Jian Wen

AU - Jimenez, Pedro

AU - Kosovic, Branko

AU - Lundquist, Katherine A.

AU - Draxl, Caroline

AU - Lundquist, Julie K.

AU - McCaa, Jim

AU - McCaffrey, Katherine

AU - Lantz, Kathy

AU - Long, Chuck

AU - Wilczak, Jim

AU - Banta, Robert

AU - Marquis, Melinda

AU - Redfern, Stephanie

AU - Berg, Larry K.

AU - Shaw, Will

AU - Cline, Joel

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85072258752

U2 - 10.1175/BAMS-D-18-0040.1

DO - 10.1175/BAMS-D-18-0040.1

M3 - Article

AN - SCOPUS:85072258752

SN - 0003-0007

VL - 100

SP - 2201

EP - 2220

JO - Bulletin of the American Meteorological Society

JF - Bulletin of the American Meteorological Society

IS - 11

ER -

Improving wind energy forecasting through numerical weather prediction model development

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