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Author Optis, Michael, author.

Title Validation of RU-WRF, the custom atmospheric mesoscale model of the Rutgers Center for Ocean Observing Leadership / Mike Optis [and four others].

Publication Info. Golden, CO : National Renewable Energy Laboratory, 2020.

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Description 1 online resource (xii, 48 pages) : color illustrations, color maps.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series NREL/TP ; 5000-75209
NREL/TP ; 5000-75209.
Note "February 2020."
Bibliography Includes bibliographical references (page 48).
Type Of Report Strategic parnership project report.
Funding DE-AC36-08GO28308
New Jersey Board of Public Utilities FIA-18-01872
Note Description based on online resource; title from PDF title page (NREL, viewed on August 12, 2020).
Summary The Rutgers University Center for Ocean Observing Leadership (RU-COOL) contracted the National Renewable Energy Laboratory (NREL) to evaluate RU-COOL's atmospheric observation and modeling capabilities for characterizing the New Jersey offshore wind resource. The observational network used by RU-COOL consists of mostly public but some private coastal and offshore buoy-based stations. The core wind resource modeling capability of RU-COOL is a custom setup of the Weather Research and Forecasting (WRF) mesoscale model, referred to in this report as RU-WRF. The most unique feature of RU-WRF and not found in other WRF model setups is the use of custom sea surface temperature (SST) product generated by RU-COOL. This custom product was designed to better capture the unique coastal upwelling and strong storm mixing in the Mid-Atlantic Bight, which other typical SST products are not designed to capture. Funding for the development, maintenance, and use of RU-WRF by RU-COOL is provided by the New Jersey Board of Public Utilities, who also funded the validation work presented in this report. In this validation study, NREL was specifically tasked to: 1) Assess the observational network used by RU-COOL to validate RU-WRF and make recommendations for improvement, 2) Assess methods used by RU-COOL to validate RU-WRF and make recommendations for improvement, 3) Examine the inputs to and setup within RU-WRF, compare against available NREL data sets, and make recommendations for improvement.
Subject Wind power plants -- New Jersey -- Computer simulation.
Wind power -- New Jersey -- Computer simulation.
Centrales éoliennes -- New Jersey -- Simulation par ordinateur.
Énergie éolienne -- New Jersey -- Simulation par ordinateur.
Wind power -- Computer simulation (OCoLC)fst01175631
New Jersey (OCoLC)fst01208379 https://id.oclc.org/worldcat/entity/E39PBJx4kQMRb7rwyH74JVdbBP
Indexed Term mesoscale
offshore wind energy
RU-COOL
weather research and forecasting
WRF
Added Author National Renewable Energy Laboratory (U.S.), issuing body.
New Jersey. Board of Public Utilities.
Rutgers University.
Added Title Validation of Rutgers University-weather research and forecasting, the custom atmospheric mesoscale model of the Rutgers Center for Ocean Observing Leadership
Standard No. 1599576 OSTI ID
0000-0001-5617-6134
0000-0002-7983-3050
0000-0002-9446-4310
0000-0001-7122-5993
Gpo Item No. 0430-P-03 (online)
Sudoc No. E 9.16:NREL/TP-5000-75209

 
    
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