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This content will become publicly available on December 27, 2018

Title: Offshore wind speed estimates from a high-resolution rapidly updating numerical weather prediction model forecast dataset

Authors:
ORCiD logo [1] ;  [2] ;  [2]
  1. University of Colorado, Cooperative Institute for Research in Environmental Sciences at the NOAA Earth System Research Laboratory/Global Systems Division, 325 Broadway Boulder Colorado 80305-3337 USA
  2. NOAA Earth System Research Laboratory / Global Systems Division, 325 Broadway, Boulder Colorado 80305-3337 USA
Publication Date:
Grant/Contract Number:
EE0003080
Type:
Publisher's Accepted Manuscript
Journal Name:
Wind Energy
Additional Journal Information:
Journal Name: Wind Energy Journal Volume: 21 Journal Issue: 4; Journal ID: ISSN 1095-4244
Publisher:
Wiley Blackwell (John Wiley & Sons)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
Country of Publication:
United Kingdom
Language:
English
OSTI Identifier:
1414967

James, Eric P., Benjamin, Stanley G., and Marquis, Melinda. Offshore wind speed estimates from a high-resolution rapidly updating numerical weather prediction model forecast dataset. United Kingdom: N. p., Web. doi:10.1002/we.2161.
James, Eric P., Benjamin, Stanley G., & Marquis, Melinda. Offshore wind speed estimates from a high-resolution rapidly updating numerical weather prediction model forecast dataset. United Kingdom. doi:10.1002/we.2161.
James, Eric P., Benjamin, Stanley G., and Marquis, Melinda. 2017. "Offshore wind speed estimates from a high-resolution rapidly updating numerical weather prediction model forecast dataset". United Kingdom. doi:10.1002/we.2161.
@article{osti_1414967,
title = {Offshore wind speed estimates from a high-resolution rapidly updating numerical weather prediction model forecast dataset},
author = {James, Eric P. and Benjamin, Stanley G. and Marquis, Melinda},
abstractNote = {},
doi = {10.1002/we.2161},
journal = {Wind Energy},
number = 4,
volume = 21,
place = {United Kingdom},
year = {2017},
month = {12}
}