2018
DOI: 10.1016/j.dib.2018.05.031
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Datasets on hub-height wind speed comparisons for wind farms in California

Abstract: This article includes the description of data information related to the research article entitled “The future of wind energy in California: Future projections with the Variable-Resolution CESM”[1], with reference number RENE_RENE-D-17–03392. Datasets from the Variable-Resolution CESM, Det Norske Veritas Germanischer Lloyd Virtual Met, MERRA-2, CFSR, NARR, ISD surface observations, and upper air sounding observations were used for calculating and comparing hub-height wind speed at multiple major wind farms acr… Show more

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Cited by 7 publications
(5 citation statements)
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“…However, as with the radiation data, the uncertainty of NLDAS‐2 wind speed could be as high as ±30% (Xia, 2006), which presents challenges for relating these estimated biases to those for other output variables such as temperature. A previous set of studies using VR‐CESM found smaller bias than in this study and reasonable agreement in wind speed in relation to an industry‐approved data set and wind energy capacities in California (Millstein et al., 2019; Wang et al., 2018a, 2018b). Nonetheless, slow biases in wind speed could contribute to the temperature biases identified in VR‐CESM.…”
Section: Resultssupporting
confidence: 82%
See 1 more Smart Citation
“…However, as with the radiation data, the uncertainty of NLDAS‐2 wind speed could be as high as ±30% (Xia, 2006), which presents challenges for relating these estimated biases to those for other output variables such as temperature. A previous set of studies using VR‐CESM found smaller bias than in this study and reasonable agreement in wind speed in relation to an industry‐approved data set and wind energy capacities in California (Millstein et al., 2019; Wang et al., 2018a, 2018b). Nonetheless, slow biases in wind speed could contribute to the temperature biases identified in VR‐CESM.…”
Section: Resultssupporting
confidence: 82%
“…A previous set of studies using VR-CESM found smaller bias than in this study and reasonable agreement in wind speed in relation to an industry-approved data set and wind energy capacities in California (Millstein et al, 2019;Wang et al, 2018aWang et al, , 2018b. Nonetheless, slow biases in wind speed could contribute to the temperature biases identified in VR-CESM.…”
Section: Wind Speed and Directionsupporting
confidence: 76%
“…As highlighted in research papers such as Badger et al (2012), Badger et al (01 Apr. 2016) and Wang et al (2018),…”
Section: Decommissioning and Life Extensionmentioning
confidence: 98%
“…Central Romania [3], California [40,23], the US Northwest, France, Germany, Denmark, Sweden [24], and Europe [8,38]. MERRA-2 is also used for offshore wind resource assessment in South Korea [21], the Eastern US Coast [22] and different countries around the globe [4].…”
Section: Introductionmentioning
confidence: 99%