The 2023 National Offshore Wind data set (NOW-23)
-
Published:2024-04-26
Issue:4
Volume:16
Page:1965-2006
-
ISSN:1866-3516
-
Container-title:Earth System Science Data
-
language:en
-
Short-container-title:Earth Syst. Sci. Data
Author:
Bodini NicolaORCID, Optis Mike, Redfern Stephanie, Rosencrans DavidORCID, Rybchuk AlexORCID, Lundquist Julie K.ORCID, Pronk Vincent, Castagneri Simon, Purkayastha Avi, Draxl CarolineORCID, Krishnamurthy RaghavendraORCID, Young EthanORCID, Roberts Billy, Rosenlieb Evan, Musial Walter
Abstract
Abstract. This article introduces the 2023 National Offshore Wind data set (NOW-23), which offers the latest wind resource information for offshore regions in the United States. NOW-23 supersedes, for its offshore component, the Wind Integration National Dataset (WIND) Toolkit, which was published a decade ago and is currently a primary resource for wind resource assessments and grid integration studies in the contiguous United States. By incorporating advancements in the Weather Research and Forecasting (WRF) model, NOW-23 delivers an updated and cutting-edge product to stakeholders. In this article, we present the new data set which underwent regional tuning and performance validation against available observations and has data available from 2000 through, depending on the region, 2019–2022. We also provide a summary of the uncertainty quantification in NOW-23, along with NOW-WAKES, a 1-year post-construction data set that quantifies expected offshore wake effects in the US Mid-Atlantic lease areas. Stakeholders can access the NOW-23 data set at https://doi.org/10.25984/1821404 (Bodini et al., 2020).
Funder
Bureau of Ocean Energy Management Office of Energy Efficiency and Renewable Energy
Publisher
Copernicus GmbH
Reference44 articles.
1. Beiter, P., Musial, W., Duffy, P., Cooperman, A., Shields, M., Heimiller, D., and Optis, M.: The cost of floating offshore wind energy in California between 2019 and 2032, Tech. Rep., National Renewable Energy Lab.(NREL), Golden, CO, United States, https://doi.org/10.2172/1710181, 2020. a 2. Bodini, N., Optis, M., Rossol, M., Rybchuk, A., Redfern, S., Lundquist, J. K., and Rosencrans, D.: 2023 National Offshore Wind data set (NOW-23), EDI [data set], https://doi.org/10.25984/1821404, 2020. a, b, c 3. Bodini, N., Hu, W., Optis, M., Cervone, G., and Alessandrini, S.: Assessing boundary condition and parametric uncertainty in numerical-weather-prediction-modeled, long-term offshore wind speed through machine learning and analog ensemble, Wind Energ. Sci., 6, 1363–1377, https://doi.org/10.5194/wes-6-1363-2021, 2021. a 4. Bodini, N., Rybchuk, A., Optis, M., Musial, W., Lundquist, J. K., Redfern, S., Draxl, C., Krishnamurthy, R., and Gaudet, B.: Update on NREL's 2020 Offshore Wind Resource Assessment for the California Pacific Outer Continental Shelf, Tech. Rep., National Renewable Energy Lab.(NREL), Golden, CO, United States, https://doi.org/10.2172/1899984, 2022. a 5. Bodini, N., Castagneri, S., and Optis, M.: Long-term uncertainty quantification in WRF-modeled offshore wind resource off the US Atlantic coast, Wind Energ. Sci., 8, 607–620, https://doi.org/10.5194/wes-8-607-2023, 2023. a
|
|