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    <responseDate>2026-10-14T12:05:31Z</responseDate>
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    <identifier>10.57760/sciencedb.o00009.00245</identifier>
    <datestamp>2022-10-09T06:47:02Z</datestamp>
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  <dc:date>2022-10-09</dc:date>
  <dc:title>The datasets of urban lightning</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.o00009.00245</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The lightning detection datasets acquired&amp;nbsp;from the State Grid Lightning Network (SGLNET) were analyzed&amp;nbsp;to characterize lightning activity over&amp;nbsp;the built-up area&amp;nbsp;of Beijing; the datasets contained longitude and latitude, GPS time, peak current, polarity, and other metadata. The State Grid Electric Power Research Institute has been developing and maintaining&amp;nbsp;SGLNET since 1977,&amp;nbsp;and it&amp;nbsp;now covers most of the national territory. For SGLNET, the magnetic direction-finding and time-of-arrival technology are used to detect lightning, and the detection efficiency and location errors are about 94% and 489 m, respectively.The hourly data from surface meteorological stations in Beijing&amp;nbsp;were obtained from a network of automatic weather stations (AWS), including wind speed, wind direction, and surface air temperature.The combined reflectivity (CR) of S-band Doppler radar at the observatory in the southern suburbs of Beijing was used to analyze the evolution process of thunderstorms.</dc:description>
  <dc:subject>Lightning location; Ground meteorological data; Radar data</dc:subject>
  <dc:creator>Tao Shi</dc:creator>
  <dc:creator>Gaopeng Lu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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