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    <responseDate>2026-10-11T11:59:28Z</responseDate>
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    <identifier>10.57760/sciencedb.10067</identifier>
    <datestamp>2023-08-11T09:20:04Z</datestamp>
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  <dc:date>2023-08-11</dc:date>
  <dc:title>Wind power law exponent alpha data</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.10067</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The power law is a widely used method in wind energy assessments, which involves the approximation of wind speed at a turbine height by using the measured 10m wind speed. However, the power law exponent (&amp;alpha;) is frequently assumed to be 1/7 globally in engineering, despite the significant spatial and temporal variations of &amp;alpha;. This assumption could lead to inaccurate estimates of wind conditions, which could ultimately result in inaccurate assessments of wind energy potential. In this dataset, we estimate the global gridded, hourly &amp;alpha; from 1980 to 2022 using the wind speed at 10 m and 100 m from the ERA5 reanalysis dataset. We provide the &amp;alpha; data that includes the spatial (gridded, land&amp;amp;ocean, latitudes, hemispheres) and temporal (diurnal, monthly, interannual) variations, and the global gridded data of the standard deviation and trend of &amp;alpha;.</dc:description>
  <dc:subject>wind power law; wind speed extrapolation; wind energy; global spatiotemporal variation</dc:subject>
  <dc:creator>Yang Xinrong</dc:creator>
  <dc:creator>Zeng Zhenzhong</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/publicdomain/zero/1.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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